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Puzzle#263

Geoguessr

Released: 2026-07-25

Google Street View Image
Country Flag

Cambodia

Lat: 12.41274147790973

Lng: 103.8213874278303

See on Google Street View


6
Models Tested
1630.8km
Avg. Distance
3804.5
Avg. Score
5
LLM Providers

Key:

Attempt
Solution

Score Threshold:

>4400
>2000
<2000

google/gemini-3-flash-preview

google

Score: 4662

Distance: 140km

Lat: 12.871146

Lng: 105.024564


The image features distinct sugar palms (Borassus flabellifer) which are characteristic of the Cambodian landscape. The narrow paved road without lane markings, the style of the wooden and corrugated metal roadside structures, and the presence of motorbikes in a rural setting are very typical of the Cambodian countryside, specifically along routes in the central plains.


meta-llama/llama-4-maverick

meta

Score: 4132

Distance: 381km

Lat: 13.6333

Lng: 100.5333


The image appears to be a rural or countryside road with trees and houses on either side, characteristic of many areas in Southeast Asia. The presence of palm trees and the dirt or gravel areas alongside the road suggest a tropical or subtropical region. The language on the sign is not visible, but the overall scenery is consistent with countries like Thailand or Cambodia. Given the lack of specific landmarks or distinctive features, the guess is based on the general appearance and common characteristics of rural roads in Southeast Asia, with a leaning towards Thailand due to the road’s condition and the style of the houses.


anthropic/claude-haiku-4.5

anthropic

Score: 60

Distance: 8839km

Lat: -14.4733

Lng: 28.2789


This image shows a rural road in sub-Saharan Africa with characteristic features including: palm trees and tropical vegetation on both sides, a red corrugated metal structure on the right side typical of rural African construction, unpaved/poorly maintained dirt road, scattered settlements, power lines, and the overall landscape and vegetation pattern consistent with southern African regions. The specific combination of palm trees, vegetation type, road conditions, and building style suggests this is likely in Zambia, possibly in the southern or central regions. The flat terrain and vegetation pattern are consistent with areas around the Zambezi Valley region.


anthropic/claude-sonnet-4.6

anthropic

Score: 4671

Distance: 136km

Lat: 12

Lng: 105


The image shows a rural road in Southeast Asia. The landscape features palm trees, flat terrain, small roadside shops/stalls, and the overall appearance is consistent with Cambodia or Vietnam. The road quality, vegetation (sugar palms visible in background which are characteristic of Cambodia), and building styles suggest this is likely in Cambodia, possibly in the Kampong Cham or Prey Veng province area.


openai/gpt-5-image-mini

openai

Score: 4582

Distance: 174km

Lat: 11.35

Lng: 105


Tropical rural landscape with straight paved two-way road, sandy shoulders, low tin-roofed houses and roadside stalls, lots of fan-palmed Borassus/coconut-type trees — typical of lowland Cambodia (Mekong plain/Prey Veng or Kampong Cham region). No road markings or dense street signage, power lines on single poles and informal roadside commerce fit Cambodian rural roads.


MoonshotAI

moonshotai/kimi-k2.5

moonshot

Score: 4720

Distance: 115km

Lat: 13.45

Lng: 103.85


The image shows a paved rural road with distinctive sugar palm trees (Borassus flabellifer), which are particularly iconic in Cambodia and often called the national tree. The roadside features include a simple shop with a red awning on the right and an outdoor seating area with plastic chairs under trees on the left - both common sights in rural Cambodian provinces like Siem Reap, Battambang, or Kampong Thom. The flat terrain, tropical vegetation, and style of buildings with corrugated metal roofs are characteristic of the Cambodian countryside in the Tonle Sap region. The road condition and dust shoulders are typical of secondary roads connecting villages in this area.


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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