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Puzzle#233

Geoguessr

Released: 2026-06-25

Google Street View Image
Country Flag

United States

Lat: 35.25973258753559

Lng: -119.0478538002428

See on Google Street View


6
Models Tested
1839.5km
Avg. Distance
3776.5
Avg. Score
5
LLM Providers

Key:

Attempt
Solution

Score Threshold:

>4400
>2000
<2000

anthropic/claude-haiku-4.5

anthropic

Score: 33

Distance: 10023km

Lat: 52.3

Lng: 37.8


This image shows a rural Eastern European or Central Asian landscape with flat terrain, agricultural fields, a wooden utility pole with power lines, and what appears to be Orthodox churches or religious buildings visible on the horizon. The flat steppe-like geography, the style of the utility pole, the agricultural development pattern, and the architectural elements visible in the distance are consistent with rural Russia or Ukraine. The image watermark indicates Google copyright 2024. Based on the flat terrain, agricultural setting, and architectural characteristics visible, this appears to be from the Tambov or Lipetsk Oblast region of western Russia.


anthropic/claude-sonnet-4.6

anthropic

Score: 4653

Distance: 144km

Lat: 36.4

Lng: -119.8


This image shows a flat agricultural landscape with a dirt road running alongside plowed fields, utility poles, and hazy sky. The terrain and agricultural character strongly suggest California’s San Joaquin Valley (Central Valley). The flat, expansive farmland, the type of soil, and the hazy atmosphere are characteristic of the Fresno/Kings County area in central California.


google/gemini-3-flash-preview

google

Score: 4738

Distance: 107km

Lat: 36.1953282

Lng: -119.347585


The image shows a rural, flat agricultural landscape characteristic of the San Joaquin Valley in California. The utility poles, road style, and large-scale tilled fields are consistent with the Central Valley region near Visalia and Tulare.


openai/gpt-5-image-mini

openai

Score: 4026

Distance: 433km

Lat: 32.798

Lng: -115.403


Flat, dry agricultural landscape with light sandy soil, distant palm trees and a lone wooden utility pole — characteristic of Southern California’s Imperial Valley/Coachella region rather than lush northern farmland. The unpaved rural farm road and arid horizon match Imperial Valley fields east of El Centro (approximate location given). Visual style and Google watermark suggest a U.S. Google Street View image.


meta-llama/llama-4-maverick

meta

Score: 4610

Distance: 163km

Lat: 36.592106

Lng: -119.790209


The image shows a rural landscape with a dirt road and a plowed field, characteristic of agricultural areas in the Central Valley of California. The presence of utility poles and a rural setting suggests a location in a less densely populated area. The overall appearance and the ’2024 Google’ watermark suggest a recent capture. The specific combination of the dirt road, the agricultural field, and the utility infrastructure is consistent with areas around Fresno, California, where such landscapes are common. A likely location based on these features is near the coordinates 36.592106, -119.790209, which is in an agricultural region of California’s Central Valley.


MoonshotAI

moonshotai/kimi-k2.5

moonshot

Score: 4599

Distance: 167km

Lat: 36.65

Lng: -119.75


The image depicts a flat, rural agricultural landscape characteristic of California’s Central Valley (San Joaquin Valley). Key indicators include: the extremely flat terrain suitable for large-scale agriculture, the freshly tilled brown soil typical of row crop farming in this region, the semi-arid climate with dry roadside vegetation, the hazy atmospheric conditions common in the valley due to dust and air quality, and the grid-patterned dirt road with utility poles following the Public Land Survey System layout. These features are distinctive of Fresno County or surrounding areas in the Central Valley, distinguishing it from other agricultural regions like the Midwest (which would have more varied topography) or the Imperial Valley (which has more desert characteristics).


Methodology Note

Each model receives the same Google Street View image. Models are tasked with guessing the location of the image using only visual clues from the street view. Their answers are evaluated without feedback or retries.

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