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Puzzle#157

Geoguessr

Released: 2026-04-10

Google Street View Image
Country Flag

Senegal

Lat: 13.22817517241639

Lng: -14.97623799093163

See on Google Street View


7
Models Tested
2663.3km
Avg. Distance
1809.9
Avg. Score
6
LLM Providers

Key:

Attempt
Solution

Score Threshold:

>4400
>2000
<2000

google/gemini-3-flash-preview

google

Score: 2407

Distance: 1462km

Lat: 12.23412

Lng: -1.53245


The image features a characteristic red laterite soil road, semi-arid savannah vegetation, and flat terrain typical of West Africa. This specific combination of tall grasses, scattered broadleaf trees, and the hazy sky is highly characteristic of rural Burkina Faso, particularly during the transition from the wet to dry season.


meta-llama/llama-4-maverick

meta

Score: 300

Distance: 5628km

Lat: -13.5333

Lng: 28.3833


The image shows a dirt road with tall grass and trees on either side, under a hazy blue sky. The landscape is typical of rural or savannah regions. The presence of tall grass and the condition of the road suggest a tropical or subtropical region. Given these characteristics, the location is likely in a country in Southern Africa. Zambia is a possible location due to its savannah landscapes and dirt roads. The coordinates -13.5333, 28.3833 are in Zambia.


anthropic/claude-haiku-4.5

anthropic

Score: 2406

Distance: 1463km

Lat: 12.5

Lng: -1.5


This image shows a characteristic red laterite soil road typical of the Sahel region in West Africa. The landscape features dry grassland, scattered acacia trees, and the distinctive reddish-orange dirt road. The vegetation pattern and soil color are consistent with areas in Burkina Faso, Mali, or Niger during the dry season. The Google Street View watermark and the specific combination of red soil, sparse vegetation, and savanna landscape suggest this is likely in Burkina Faso, possibly along a rural road in the central or northern regions of the country.


x-ai/grok-4-fast

x-ai

Score: 282

Distance: 5748km

Lat: -1.5

Lng: 35


The image depicts a rural dirt road with reddish soil, tall golden grasses, and scattered acacia-like trees under a clear, hazy sky, which is characteristic of the savanna regions in East Africa during the dry season. This landscape matches areas in Kenya or Tanzania, such as near the Maasai Mara. Coordinates are estimated for that region based on typical Street View coverage in such environments.


anthropic/claude-sonnet-4.6

anthropic

Score: 2406

Distance: 1463km

Lat: 12.5

Lng: -1.5


The image shows a red laterite dirt road with tall savanna grass and scattered trees typical of West African savanna/Sahel region. The red/orange soil, vegetation type, and landscape are characteristic of Burkina Faso or similar West African countries. The flat terrain with sparse trees and tall dry grass strongly suggests this is in Burkina Faso, likely in the central or southern region of the country.


openai/gpt-5-image-mini

openai

Score: 2403

Distance: 1465km

Lat: 12.25

Lng: -1.5


Red lateritic dirt road, tall dry-season savanna grasses and scattered broad-canopy trees indicate a Sudanian/Guinean savanna environment in West Africa. Vegetation and soil color match central Burkina Faso (area around Ouagadougou) rather than East Africa or southern Africa. Flat terrain and lack of tropical rainforest species support a Sahelian/sudanian location.


MoonshotAI

moonshotai/kimi-k2.5

moonshot

Score: 2465

Distance: 1414km

Lat: 12

Lng: -2


The image shows a red dirt road characteristic of West African lateritic soils, surrounded by tall grass savanna with scattered broad-leaved trees. This vegetation type and soil color is typical of the Sudanian savanna zone found in countries like Burkina Faso, Mali, or Senegal. The flat terrain, hazy sky, and specific grass/tree combination suggest this is in the West African savanna belt, likely in Burkina Faso or a neighboring country at approximately 10-15°N latitude. The absence of mountains or distinctive landmarks points to the relatively flat interior of West Africa.


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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