Question bank

test berlin-volume-v1-42470005_42470021

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Halskestr., network link 42470005_42470021, from (52.446944° N, 13.342419° E) to (52.447729° N, 13.343539° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	1250	off by ×7.98
Llama 3.3	13000	off by ×1.30
Qwen · off	1200	off by ×8.32
Qwen · on	450	off by ×22.18

test berlin-volume-v1-40490096_39490018

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to ehemals 100 AS Schmargendorf Einf v Dillenburger Str, network link 40490096_39490018, from (52.468644° N, 13.307802° E) to (52.470687° N, 13.306520° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	11500	off by ×1.32
Llama 3.3	15000	off by ×1.72
Qwen · off	3200	off by ×2.73
Qwen · on	250	off by ×34.88

test berlin-volume-v1-39510046_39510006

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Seesener Str., network link 39510046_39510006, from (52.489492° N, 13.300654° E) to (52.488397° N, 13.302150° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	11500	off by ×1.07
Llama 3.3	{"DTV": 10315}	off by ×1.04
Qwen · off	1200	off by ×8.93
Qwen · on	1200	off by ×8.93

test berlin-volume-v1-45560008_T0000570

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Julie-Wolfthorn-Str., network link 45560008_T0000570, from (52.532394° N, 13.385160° E) to (52.532979° N, 13.386436° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	11500	off by ×1.16
Llama 3.3	8300	off by ×1.19
Qwen · off	3200	off by ×3.09
Qwen · on	1000	off by ×9.90

test berlin-volume-v1-43570009_43570042

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Torfstr., network link 43570009_43570042, from (52.542176° N, 13.349475° E) to (52.540980° N, 13.351105° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	1200	off by ×3.40
Llama 3.3	{"DTV": 14178}	off by ×3.48
Qwen · off	1200	off by ×3.40
Qwen · on	2800	off by ×1.46

test berlin-volume-v1-42590025_T0000593

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Londoner Str., network link 42590025_T0000593, from (52.559555° N, 13.338647° E) to (52.560583° N, 13.340216° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	11500	off by ×6.08
Llama 3.3	17000	off by ×8.99
Qwen · off	1200	off by ×1.58
Qwen · on	9000	off by ×4.76

test berlin-volume-v1-44550054_44550010

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Konrad-Adenauer-Str., network link 44550054_44550010, from (52.521678° N, 13.375293° E) to (52.522083° N, 13.376475° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	12500	off by ×2.65
Llama 3.3	{"DTV": 25115}	off by ×5.32
Qwen · off	12000	off by ×2.54
Qwen · on	35000	off by ×7.42

test berlin-volume-v1-37670004_37670005

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Am Eichenhain, network link 37670004_37670005, from (52.631783° N, 13.266615° E) to (52.631559° N, 13.266674° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	450	off by ×8.36
Llama 3.3	1500	off by ×2.51
Qwen · off	1200	off by ×3.13
Qwen · on	350	off by ×10.74

test berlin-volume-v1-50540018_50540028

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Frankfurter Allee, network link 50540018_50540028, from (52.514726° N, 13.464786° E) to (52.514579° N, 13.466154° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	35000	off by ×1.25
Llama 3.3	30000	off by ×1.46
Qwen · off	12000	off by ×3.65
Qwen · on	35000	off by ×1.25

test berlin-volume-v1-40510050_40510010

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to 100 AS Schmargendorf Ausfahrt n Konstanzer Str, network link 40510050_40510010, from (52.485436° N, 13.307382° E) to (52.487669° N, 13.308338° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	12500	off by ×1.82
Llama 3.3	15000	off by ×1.51
Qwen · off	1200	off by ×18.92
Qwen · on	5000	off by ×4.54

test berlin-volume-v1-41520011_41520020

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Spichernstr., network link 41520011_41520020, from (52.495895° N, 13.330735° E) to (52.498486° N, 13.334376° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	11500	off by ×1.88
Llama 3.3	25300	off by ×1.17
Qwen · off	12000	off by ×1.80
Qwen · on	15000	off by ×1.44

test berlin-volume-v1-39430009_39430023

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Ostpreußendamm, network link 39430009_39430023, from (52.412783° N, 13.300517° E) to (52.413688° N, 13.301547° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	12500	off by ×1.10
Llama 3.3	{"DTV": 28371}	off by ×2.50
Qwen · off	12000	off by ×1.06
Qwen · on	2500	off by ×4.54

test berlin-volume-v1-33570003_33570006

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Falkenseer Platz, network link 33570003_33570006, from (52.539915° N, 13.203229° E) to (52.539930° N, 13.203603° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	12500	off by ×3.01
Llama 3.3	16300	off by ×2.31
Qwen · off	1200	off by ×31.40
Qwen · on	6000	off by ×6.28

test berlin-volume-v1-43510019_43510045

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Kaiser-Wilhelm-Platz, network link 43510019_43510045, from (52.486701° N, 13.357594° E) to (52.486889° N, 13.357056° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	12500	off by ×1.35
Llama 3.3	{"DTV": 26311}	off by ×2.84
Qwen · off	1200	off by ×7.72
Qwen · on	1200	off by ×7.72

test berlin-volume-v1-42490059_T0000189

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to 103 AK Schöneberg Hauptfahrbahn >NO, network link 42490059_T0000189, from (52.471891° N, 13.344321° E) to (52.473123° N, 13.349472° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	24500	off by ×3.17
Llama 3.3	{"DTV": 28371}	off by ×3.67
Qwen · off	12500	off by ×1.62
Qwen · on	22000	off by ×2.85

test berlin-volume-v1-38630018_38640001

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Hermsdorfer Damm, network link 38630018_38640001, from (52.596695° N, 13.284823° E) to (52.600620° N, 13.281713° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	14500	off by ×1.55
Llama 3.3	27500	off by ×2.94
Qwen · off	12000	off by ×1.28
Qwen · on	1500	off by ×6.23

test berlin-volume-v1-41470012_42470014

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Steglitzer Damm, network link 41470012_42470014, from (52.451247° N, 13.335902° E) to (52.451062° N, 13.337982° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	15500	off by ×1.65
Llama 3.3	31000	off by ×1.21
Qwen · off	12000	off by ×2.13
Qwen · on	25000	off by ×1.02

test berlin-volume-v1-39580014_39580003

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to 111 AS Saatwinkler Damm Ausf n Saatwinkler Damm, network link 39580014_39580003, from (52.546417° N, 13.299375° E) to (52.547953° N, 13.302380° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	1250	off by ×4.85
Llama 3.3	21900	off by ×3.61
Qwen · off	12000	off by ×1.98
Qwen · on	5000	off by ×1.21

test berlin-volume-v1-38470025_38470036

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Löhleinstr., network link 38470025_38470036, from (52.450856° N, 13.280937° E) to (52.451541° N, 13.282560° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	1250	off by ×2.69
Llama 3.3	{"DTV": 25177}	off by ×7.49
Qwen · off	1200	off by ×2.80
Qwen · on	450	off by ×7.47

test berlin-volume-v1-39490014_40490048

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Wiesbadener Str., network link 39490014_40490048, from (52.472752° N, 13.304233° E) to (52.472478° N, 13.308042° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	11500	off by ×2.18
Llama 3.3	21000	off by ×3.98
Qwen · off	12000	off by ×2.27
Qwen · on	7500	off by ×1.42

test berlin-volume-v1-42470020_42470061

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Munsterdamm, network link 42470020_42470061, from (52.449996° N, 13.346726° E) to (52.451279° N, 13.348033° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	11500	off by ×1.63
Llama 3.3	{"DTV": 25115}	off by ×1.34
Qwen · off	12000	off by ×1.56
Qwen · on	1200	off by ×15.58

test berlin-volume-v1-39500041_39500006

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to 100 AS Schmargendorf Ausf n Mecklenburgi West, network link 39500041_39500006, from (52.479406° N, 13.306580° E) to (52.476878° N, 13.306348° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	15500	off by ×3.48
Llama 3.3	17000	off by ×3.81
Qwen · off	1200	off by ×3.72
Qwen · on	18000	off by ×4.04

test berlin-volume-v1-42530035_T0000201

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Tauentzienstr., network link 42530035_T0000201, from (52.504406° N, 13.335684° E) to (52.504208° N, 13.336567° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	25000	off by ×1.51
Llama 3.3	17000	off by ×1.03
Qwen · off	12000	off by ×1.38
Qwen · on	22000	off by ×1.33

test berlin-volume-v1-41600009_T0000568

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Humboldtstr., network link 41600009_T0000568, from (52.569217° N, 13.329890° E) to (52.569504° N, 13.330864° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	1250	off by ×5.90
Llama 3.3	17000	off by ×2.30
Qwen · off	1200	off by ×6.15
Qwen · on	1200	off by ×6.15

test berlin-volume-v1-42560004_42560032

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to An der Putlitzbrücke, network link 42560004_42560032, from (52.531826° N, 13.343258° E) to (52.532227° N, 13.343334° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	14500	off by ×1.80
Llama 3.3	12345	off by ×2.11
Qwen · off	1200	off by ×21.73
Qwen · on	800	off by ×32.60

test berlin-volume-v1-35620026_36640001

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Konradshöher Str., network link 35620026_36640001, from (52.586491° N, 13.235806° E) to (52.599902° N, 13.252038° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	850	off by ×7.91
Llama 3.3	17000	off by ×2.53
Qwen · off	1200	off by ×5.60
Qwen · on	1200	off by ×5.60

test berlin-volume-v1-39510012_39510040

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to 100 AS Hohenzollerndamm Einf v Hohenzollernd O, network link 39510012_39510040, from (52.487914° N, 13.300594° E) to (52.491429° N, 13.295205° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	15500	off by ×1.36
Llama 3.3	24000	off by ×2.10
Qwen · off	12000	off by ×1.05
Qwen · on	22000	off by ×1.93

test berlin-volume-v1-50480001_50480002

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Bergiusstr., network link 50480001_50480002, from (52.464763° N, 13.457355° E) to (52.464181° N, 13.458072° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	1200	off by ×10.07
Llama 3.3	{"DTV": 3512}	off by ×3.44
Qwen · off	1200	off by ×10.07
Qwen · on	1000	off by ×12.08

test berlin-volume-v1-39530016_39530025

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Kantstr., network link 39530016_39530025, from (52.506786° N, 13.300629° E) to (52.506777° N, 13.302333° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	11500	off by ×1.83
Llama 3.3	24000	off by ×1.14
Qwen · off	12000	off by ×1.76
Qwen · on	15000	off by ×1.41

test berlin-volume-v1-45530010_45540059

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Leipziger Str., network link 45530010_45540059, from (52.509997° N, 13.384188° E) to (52.510195° N, 13.387414° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	35000	off by ×1.13
Llama 3.3	17000	off by ×2.32
Qwen · off	12000	off by ×3.28
Qwen · on	17000	off by ×2.32

test berlin-volume-v1-46470002_46480013

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Schätzelbergstr., network link 46470002_46480013, from (52.456109° N, 13.399753° E) to (52.457238° N, 13.399896° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	1200	off by ×6.42
Llama 3.3	12000	off by ×1.56
Qwen · off	320	off by ×24.06
Qwen · on	400	off by ×19.25

test berlin-volume-v1-40470017_41480076

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to 103 AS Wolfensteindamm Einf v Wolfensteindamm, network link 40470017_41480076, from (52.453452° N, 13.319278° E) to (52.455736° N, 13.322369° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	12500	off by ×1.28
Llama 3.3	{"DTV": 25115}	off by ×1.57
Qwen · off	1200	off by ×13.31
Qwen · on	5200	off by ×3.07

test berlin-volume-v1-35460003_35460022

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Fischerhüttenstr., network link 35460003_35460022, from (52.442733° N, 13.240152° E) to (52.441619° N, 13.242366° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	1250	off by ×2.54
Llama 3.3	{"DTV": 15600}	off by ×4.91
Qwen · off	1200	off by ×2.65
Qwen · on	1000	off by ×3.18

test berlin-volume-v1-52580014_53580013

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Suermondtstr., network link 52580014_53580013, from (52.550460° N, 13.495312° E) to (52.550012° N, 13.497350° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	7800	off by ×1.41
Llama 3.3	17000	off by ×1.55
Qwen · off	1200	off by ×9.15
Qwen · on	550	off by ×19.96

test berlin-volume-v1-51530038_51530037

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Hauffstr., network link 51530038_51530037, from (52.506869° N, 13.476280° E) to (52.506708° N, 13.478276° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	1250	off by ×7.92
Llama 3.3	17000	off by ×1.72
Qwen · off	1200	off by ×8.25
Qwen · on	1000	off by ×9.90

test berlin-volume-v1-41600009_41610013

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Ollenhauerstr., network link 41600009_41610013, from (52.569217° N, 13.329890° E) to (52.572484° N, 13.331048° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	11500	off by ×1.63
Llama 3.3	17000	off by ×1.10
Qwen · off	8500	off by ×2.20
Qwen · on	1200	off by ×15.58

test berlin-volume-v1-40490072_40490075

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to ehemals 100 AS Schmargendorf Einfahrt v Schildhornstr, network link 40490072_40490075, from (52.465030° N, 13.314547° E) to (52.466811° N, 13.310536° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	11500	off by ×1.27
Llama 3.3	{"DTV": 25115}	off by ×1.72
Qwen · off	1200	off by ×12.18
Qwen · on	200	off by ×73.10

test berlin-volume-v1-37470007_37470009

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Saargemünder Str., network link 37470007_37470009, from (52.450938° N, 13.270724° E) to (52.450465° N, 13.276735° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	11500	off by ×1.51
Llama 3.3	{"DTV": 21815}	off by ×2.87
Qwen · off	1200	off by ×6.33
Qwen · on	800	off by ×9.50

test berlin-volume-v1-60530015_60530016

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Wodanstr., network link 60530015_60530016, from (52.512456° N, 13.604061° E) to (52.512413° N, 13.605191° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	650	off by ×10.06
Llama 3.3	13000	off by ×1.99
Qwen · off	1200	off by ×5.45
Qwen · on	420	off by ×15.57

test berlin-volume-v1-41540005_41540020

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Ernst-Reuter-Platz, network link 41540005_41540020, from (52.512522° N, 13.320799° E) to (52.512028° N, 13.322084° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	35000	off by ×1.04
Llama 3.3	24800	off by ×1.47
Qwen · off	12000	off by ×3.03
Qwen · on	22000	off by ×1.65

test berlin-volume-v1-50500033_50500034

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Kiefholzstr., network link 50500033_50500034, from (52.483718° N, 13.461425° E) to (52.481814° N, 13.464138° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	25000	off by ×2.57
Llama 3.3	17000	off by ×1.75
Qwen · off	1200	off by ×8.10
Qwen · on	1000	off by ×9.72

test berlin-volume-v1-43610006_43610017

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Kopenhagener Str., network link 43610006_43610017, from (52.574269° N, 13.359158° E) to (52.575279° N, 13.359819° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	1250	off by ×10.98
Llama 3.3	13000	off by ×1.06
Qwen · off	1200	off by ×11.43
Qwen · on	18000	off by ×1.31

test berlin-volume-v1-38630008_38630010

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Buddestr., network link 38630008_38630010, from (52.592321° N, 13.285868° E) to (52.591293° N, 13.286616° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	14500	off by ×1.93
Llama 3.3	{"DTV": 12187}	off by ×1.62
Qwen · off	1200	off by ×6.28
Qwen · on	1500	off by ×5.02

test berlin-volume-v1-32550054_32550001

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Melanchthonplatz, network link 32550054_32550001, from (52.521678° N, 13.188939° E) to (52.520994° N, 13.189826° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	1200	off by ×8.25
Llama 3.3	16889	off by ×1.71
Qwen · off	1200	off by ×8.25
Qwen · on	900	off by ×11.00

test berlin-volume-v1-44620029_44620054

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Schillerstr., network link 44620029_44620054, from (52.587521° N, 13.370283° E) to (52.587065° N, 13.371808° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	750	off by ×7.63
Llama 3.3	{"vehicles_per_day": 14115}	off by ×2.47
Qwen · off	12000	off by ×2.10
Qwen · on	22000	off by ×3.85

test berlin-volume-v1-49580008_49580050

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Roelckestr., network link 49580008_49580050, from (52.549124° N, 13.440820° E) to (52.549517° N, 13.441189° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	750	off by ×17.28
Llama 3.3	17000	off by ×1.31
Qwen · off	{"value": 1250}	off by ×10.37
Qwen · on	300	off by ×43.20

test berlin-volume-v1-46480022_47480033

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to 100 AS Gradestr Verb-Fahrbahn v 100 Süd, network link 46480022_47480033, from (52.461675° N, 13.407720° E) to (52.456964° N, 13.412211° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	15500	off by ×1.28
Llama 3.3	{"DTV": 25115}	off by ×2.07
Qwen · off	12000	off by ×1.01
Qwen · on	1200	off by ×10.11

test berlin-volume-v1-51480031_52480022

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Südostallee, network link 51480031_52480022, from (52.460830° N, 13.481240° E) to (52.460159° N, 13.484642° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	14500	off by ×1.13
Llama 3.3	{"DTV": 25115}	off by ×1.54
Qwen · off	{"value": 12500}	off by ×1.31
Qwen · on	4200	off by ×3.89

test berlin-volume-v1-46480003_46480004

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Oberlandstr., network link 46480003_46480004, from (52.463738° N, 13.400922° E) to (52.463465° N, 13.402115° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	12500	off by ×1.26
Llama 3.3	12000	off by ×1.32
Qwen · off	1200	off by ×13.17
Qwen · on	1800	off by ×8.78

test berlin-volume-v1-56570022_56570025

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Marzahner Promenade, network link 56570022_56570025, from (52.543627° N, 13.549570° E) to (52.542904° N, 13.550121° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	11500	off by ×1.70
Llama 3.3	12000	off by ×1.77
Qwen · off	1200	off by ×5.65
Qwen · on	1000	off by ×6.78

test berlin-volume-v1-38520044_38520052

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Kurfürstendamm, network link 38520044_38520052, from (52.495752° N, 13.286852° E) to (52.496142° N, 13.287659° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	45000	off by ×1.37
Llama 3.3	{"DTV": 44411}	off by ×1.35
Qwen · off	18500	off by ×1.77
Qwen · on	38000	off by ×1.16

test berlin-volume-v1-43510001_43510002

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Akazienstr., network link 43510001_43510002, from (52.489849° N, 13.353182° E) to (52.489213° N, 13.353380° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	850	off by ×4.66
Llama 3.3	{"DTV": 10321}	off by ×2.61
Qwen · off	1200	off by ×3.30
Qwen · on	35000	off by ×8.84

test berlin-volume-v1-40490017_40490089

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Dillenburger Str., network link 40490017_40490089, from (52.468157° N, 13.307761° E) to (52.467406° N, 13.308827° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	1250	off by ×6.66
Llama 3.3	{"DTV": 24321}	off by ×2.92
Qwen · off	1200	off by ×6.94
Qwen · on	2000	off by ×4.17

test berlin-volume-v1-47530002_47530014

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Bethaniendamm, network link 47530002_47530014, from (52.505103° N, 13.421997° E) to (52.505055° N, 13.423110° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	12500	off by ×3.62
Llama 3.3	{"vehicles_per_day": 23800}	off by ×6.90
Qwen · off	1200	off by ×2.88
Qwen · on	700	off by ×4.93

test berlin-volume-v1-50480021_50480020

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to 113 ZB Dresden Hauptfb zw AS Späthstr u AD Neukölln, network link 50480021_50480020, from (52.461261° N, 13.456110° E) to (52.462904° N, 13.454718° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	14500	off by ×3.36
Llama 3.3	24000	off by ×2.03
Qwen · off	1200	off by ×40.56
Qwen · on	20000	off by ×2.43

test berlin-volume-v1-43510023_43510050

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Monumentenstr., network link 43510023_43510050, from (52.488268° N, 13.364086° E) to (52.488278° N, 13.364826° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	1250	off by ×5.81
Llama 3.3	13800	off by ×1.90
Qwen · off	1200	off by ×6.05
Qwen · on	3500	off by ×2.07

test berlin-volume-v1-40510010_40510051

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to 100 AS Schmargendorf Einfahrt v Konstanzer Str, network link 40510010_40510051, from (52.487669° N, 13.308338° E) to (52.486274° N, 13.307632° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	11500	off by ×1.53
Llama 3.3	{"DTV": 28351}	off by ×1.61
Qwen · off	1200	off by ×14.71
Qwen · on	1200	off by ×14.71

test berlin-volume-v1-38480019_38480033

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Pacelliallee, network link 38480019_38480033, from (52.460173° N, 13.287340° E) to (52.463298° N, 13.287789° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	12500	off by ×1.09
Llama 3.3	{"DTV": 15321}	off by ×1.34
Qwen · off	1200	off by ×9.55
Qwen · on	800	off by ×14.32

test berlin-volume-v1-33640001_33640005

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Sandhauser Str., network link 33640001_33640005, from (52.601936° N, 13.210143° E) to (52.601516° N, 13.210391° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	450	off by ×5.24
Llama 3.3	13000	off by ×5.51
Qwen · off	1200	off by ×1.97
Qwen · on	500	off by ×4.72

test berlin-volume-v1-44580022_T0000258

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Exerzierstr., network link 44580022_T0000258, from (52.553990° N, 13.371560° E) to (52.554113° N, 13.372718° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	1250	off by ×10.24
Llama 3.3	12000	off by ×1.07
Qwen · off	1200	off by ×10.67
Qwen · on	300	off by ×42.67

test berlin-volume-v1-44590020_44590008

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Drontheimer Str., network link 44590020_44590008, from (52.560741° N, 13.377031° E) to (52.556456° N, 13.377055° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	12500	off by ×1.07
Llama 3.3	13000	off by ×1.03
Qwen · off	1200	off by ×11.13
Qwen · on	1200	off by ×11.13

test berlin-volume-v1-27560001_27560002

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Heerstr., network link 27560001_27560002, from (52.528997° N, 13.119234° E) to (52.528661° N, 13.122361° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	14500	off by ×2.10
Llama 3.3	27500	off by ×1.11
Qwen · off	12000	off by ×2.54
Qwen · on	10000	off by ×3.05

test berlin-volume-v1-38490019_38490026

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Platz am Wilden Eber, network link 38490019_38490026, from (52.470459° N, 13.290107° E) to (52.470159° N, 13.289866° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	1200	off by ×7.93
Llama 3.3	{"DTV": 25115}	off by ×2.64
Qwen · off	320	off by ×29.75
Qwen · on	800	off by ×11.90

test berlin-volume-v1-41540007_41540028

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Straße des 17. Juni, network link 41540007_41540028, from (52.513144° N, 13.330235° E) to (52.513238° N, 13.331614° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	4500	off by ×9.87
Llama 3.3	36319	off by ×1.22
Qwen · off	35000	off by ×1.27
Qwen · on	40000	off by ×1.11

test berlin-volume-v1-49490039_49490036

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Niemetzstr., network link 49490039_49490036, from (52.470583° N, 13.452638° E) to (52.469145° N, 13.454113° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	1250	off by ×9.52
Llama 3.3	12000	off by ×1.01
Qwen · off	1200	off by ×9.92
Qwen · on	1200	off by ×9.92

test berlin-volume-v1-51520021_51520051

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Schlichtallee, network link 51520021_51520051, from (52.499099° N, 13.480587° E) to (52.500089° N, 13.482546° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	1200	off by ×10.13
Llama 3.3	15000	off by ×1.23
Qwen · off	1200	off by ×10.13
Qwen · on	1000	off by ×12.16

test berlin-volume-v1-55580001_T0000431

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Bitterfelder Str., network link 55580001_T0000431, from (52.556111° N, 13.530244° E) to (52.554681° N, 13.536842° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	750	off by ×22.85
Llama 3.3	17000	off by ×1.01
Qwen · off	1200	off by ×14.28
Qwen · on	420	off by ×40.81

test berlin-volume-v1-46550062_46550026

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Neue Schönhauser Str., network link 46550062_46550026, from (52.524702° N, 13.403167° E) to (52.524934° N, 13.406367° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	11500	off by ×11.27
Llama 3.3	13817	off by ×13.55
Qwen · off	12000	off by ×11.76
Qwen · on	20000	off by ×19.61

test berlin-volume-v1-38520058_39520023

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to 100 AS Kurfürstend (südl T) Ausf n Kurfürstend, network link 38520058_39520023, from (52.494872° N, 13.289417° E) to (52.493522° N, 13.291630° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	32500	off by ×10.19
Llama 3.3	17300	off by ×5.42
Qwen · off	12000	off by ×3.76
Qwen · on	20000	off by ×6.27

test berlin-volume-v1-45560030_45560035

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Gartenstr., network link 45560030_45560035, from (52.536701° N, 13.383524° E) to (52.535214° N, 13.385325° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	1200	off by ×8.67
Llama 3.3	17000	off by ×1.63
Qwen · off	1200	off by ×8.67
Qwen · on	1200	off by ×8.67

test berlin-volume-v1-48550026_48550022

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Friedrichsberger Str., network link 48550026_48550022, from (52.519827° N, 13.433451° E) to (52.521783° N, 13.435521° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	850	off by ×4.08
Llama 3.3	13000	off by ×3.75
Qwen · off	1200	off by ×2.89
Qwen · on	1800	off by ×1.93

test berlin-volume-v1-53460015_53460016

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Haeckelstr., network link 53460015_53460016, from (52.440114° N, 13.504257° E) to (52.440383° N, 13.505526° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	1250	off by ×1.45
Llama 3.3	13800	off by ×16.05
Qwen · off	1200	off by ×1.40
Qwen · on	450	off by ×1.91

test berlin-volume-v1-52540006_52540009

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Alfredstr., network link 52540006_52540009, from (52.514413° N, 13.490240° E) to (52.514759° N, 13.490330° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	1250	off by ×7.99
Llama 3.3	4300	off by ×2.32
Qwen · off	1200	off by ×8.33
Qwen · on	400	off by ×24.98

test berlin-volume-v1-35540004_35540005

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Flatowallee, network link 35540004_35540005, from (52.509525° N, 13.241360° E) to (52.508234° N, 13.241872° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	22500	off by ×6.52
Llama 3.3	17000	off by ×4.93
Qwen · off	1200	off by ×2.88
Qwen · on	1000	off by ×3.45

test berlin-volume-v1-39450013_39450014

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Drakestr., network link 39450013_39450014, from (52.436621° N, 13.303708° E) to (52.435078° N, 13.305426° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	1200	off by ×14.15
Llama 3.3	12000	off by ×1.42
Qwen · off	1200	off by ×14.15
Qwen · on	4000	off by ×4.24

test berlin-volume-v1-34590048_34590052

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Hugo-Cassirer-Str., network link 34590048_34590052, from (52.560220° N, 13.218902° E) to (52.559467° N, 13.218851° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	750	off by ×3.25
Llama 3.3	{"DTV": 25115}	off by ×10.29
Qwen · off	1200	off by ×2.03
Qwen · on	2500	off by ×1.02

test berlin-volume-v1-43500035_42500069

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to 100 AK Schöneberg Verb-Fb v A 100 Nord n A 103, network link 43500035_42500069, from (52.473921° N, 13.351491° E) to (52.473964° N, 13.351307° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	18500	off by ×7.03
Llama 3.3	{"DTV": 25115}	off by ×9.55
Qwen · off	4500	off by ×1.71
Qwen · on	5000	off by ×1.90

test berlin-volume-v1-50540001_50540021

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Eldenaer Str., network link 50540001_50540021, from (52.519849° N, 13.462506° E) to (52.519903° N, 13.463708° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	1250	off by ×4.99
Llama 3.3	14000	off by ×2.24
Qwen · off	1200	off by ×5.20
Qwen · on	700	off by ×8.91

test berlin-volume-v1-33570015_33570037

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Neuendorfer Str., network link 33570015_33570037, from (52.541674° N, 13.205597° E) to (52.542887° N, 13.206273° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	11500	off by ×2.30
Llama 3.3	16300	off by ×1.62
Qwen · off	1200	off by ×22.02
Qwen · on	1500	off by ×17.61

test berlin-volume-v1-53670006_T0000404

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Schwanebecker Chaussee, network link 53670006_T0000404, from (52.636950° N, 13.505402° E) to (52.633765° N, 13.511286° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	11500	off by ×1.47
Llama 3.3	17000	off by ×2.18
Qwen · off	12000	off by ×1.54
Qwen · on	3500	off by ×2.23

test berlin-volume-v1-51530003_51530009

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Neue Bahnhofstr., network link 51530003_51530009, from (52.506178° N, 13.470300° E) to (52.507791° N, 13.471818° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	1250	off by ×6.51
Llama 3.3	17000	off by ×2.09
Qwen · off	1200	off by ×6.78
Qwen · on	4500	off by ×1.81

test berlin-volume-v1-42570003_42570012

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Föhrer Brücke, network link 42570003_42570012, from (52.538317° N, 13.344419° E) to (52.539115° N, 13.345034° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	14500	off by ×1.76
Llama 3.3	24000	off by ×1.06
Qwen · off	12000	off by ×2.13
Qwen · on	1200	off by ×21.27

test berlin-volume-v1-49480022_49480035

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Sieversufer, network link 49480022_49480035, from (52.460017° N, 13.446849° E) to (52.460872° N, 13.450004° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	14500	off by ×10.36
Llama 3.3	13000	off by ×9.29
Qwen · off	1200	off by ×1.17
Qwen · on	1000	off by ×1.40

test berlin-volume-v1-47570001_47570028

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Knaackstr., network link 47570001_47570028, from (52.540723° N, 13.414304° E) to (52.538459° N, 13.415135° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	11500	off by ×13.69
Llama 3.3	13000	off by ×15.48
Qwen · off	1200	off by ×1.43
Qwen · on	300	off by ×2.80

test berlin-volume-v1-40560004_40560005

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Sickingenstr., network link 40560004_40560005, from (52.530341° N, 13.314393° E) to (52.530777° N, 13.316724° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	1250	off by ×8.86
Llama 3.3	{"DTV": 17321}	off by ×1.56
Qwen · off	1200	off by ×9.23
Qwen · on	400	off by ×27.70

test berlin-volume-v1-35570003_35570001

In Berlin's Umweltatlas Verkehrsmengen DTV 2019, what average daily motor-vehicle volume (DTV, Monday to Sunday, reference year 2019) is assigned to Ferdinand-Friedensburg-Platz, network link 35570003_35570001, from (52.538373° N, 13.232304° E) to (52.539294° N, 13.232098° E)? Predict the published link value in vehicles per 24 hours, including cars, trucks, delivery vans, motorcycles and buses. This is the atlas annual-average estimate, not a weekday-only count, current traffic or an individual counting-day observation. Return one positive number.
Give your best estimate even if you are uncertain; an approximate answer is expected. Return only one positive JSON number (vehicles per day). Do not return null and do not add explanations or units.

Model	Answer given
Gemma 4	1250	off by ×10.75
Llama 3.3	17000	off by ×1.26
Qwen · off	1200	off by ×11.20
Qwen · on	1200	off by ×11.20