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Puzzle#265

Geoguessr

Released: 2026-07-27

Google Street View Image
Country Flag

Brazil

Lat: -29.67096823934472

Lng: -51.60948335133345

See on Google Street View


5
Models Tested
7349.0km
Avg. Distance
1609.0
Avg. Score
5
LLM Providers

Key:

Attempt
Solution

Score Threshold:

>4400
>2000
<2000

google/gemini-3-flash-preview

google

Score: 4520

Distance: 202km

Lat: -28.983942

Lng: -49.680608


The vegetation, specifically the combination of lush sub-tropical greenery and the presence of Araucaria-like silhouettes or similar tall trees, strongly suggests Southern Brazil. The quality of the Google imagery and the specific type of rustic fence post are common in the rural areas of Santa Catarina and Rio Grande do Sul.


meta-llama/llama-4-maverick

meta

Score: 4

Distance: 14292km

Lat: -17.6303

Lng: 149.4263


The image shows a lush, green hillside with a mix of trees and vegetation, and a clear blue sky. The presence of a wooden post in the foreground suggests a rural or wilderness area. The dense foliage and tropical appearance of the vegetation are consistent with regions having a tropical or subtropical climate. The Google Street View watermark indicates the image is from Google’s mapping service. Given the date ’2017’ in the bottom left corner, the image is likely from a less frequently visited area. The overall scenery is typical of many tropical regions around the world. Focusing on regions with such landscapes and considering the Google Street View coverage, a plausible location could be in tropical Australia or the Pacific Islands. A specific location that fits this description is near the town of Maleny in Queensland, Australia, or potentially in other tropical regions with similar vegetation and terrain. After considering various locations, I guessed the image is located near -17.6303 latitude and 149.4263 longitude, which is in Queensland, Australia, a region known for its lush tropical landscapes.


anthropic/claude-haiku-4.5

anthropic

Score: 2

Distance: 15698km

Lat: 0.4

Lng: 101.6


This image shows a lush tropical forest environment with dense vegetation and tall trees, characteristic of Southeast Asian rainforest. The vegetation pattern, tree types (appearing to be eucalyptus or similar tropical species), and the overall landscape suggest this is from Malaysia, likely in the interior regions of Peninsular Malaysia or Borneo. The hazy atmospheric conditions and the specific type of dense forest canopy are typical of the Malaysian highlands or forested interior regions. Based on the vegetation density and forest composition, this appears to be from somewhere in the Malaysian state of Pahang or nearby highlands region, estimated around coordinates in central Peninsular Malaysia.


openai/gpt-5-image-mini

openai

Score: 3226

Distance: 877km

Lat: -22.9

Lng: -47.1


Dense, scrubby vegetation with tall eucalyptus-like trees and understory shrubs, wooden fence post with single wire, bright sun consistent with southern hemisphere. Overall look matches rural southeast Brazil (Atlantic forest/Cerrado transition) where Google Street View coverage is common — guessed near São Paulo state (Campinas region).


MoonshotAI

moonshotai/kimi-k2.5

moonshot

Score: 293

Distance: 5676km

Lat: 10.25

Lng: -84.65


The image shows a lush, green mountainous area with dense tropical vegetation typical of a cloud forest or tropical highland ecosystem. The presence of a simple wooden fence post and the type of vegetation suggests a rural area in Central America, South America, or Southeast Asia. Given the bright sunlight and specific mix of trees and shrubs, this resembles the Monteverde or Arenal region of Costa Rica, which is well-documented in Google Street View and characterized by this type of verdant, hilly terrain. However, without distinctive landmarks, road signs, or unique geographical features, this location could be anywhere with similar tropical montane forest conditions (including parts of Colombia, Ecuador, Brazil, or Southeast Asia). The coordinates provided represent an educated guess for a tropical mountain region in Costa Rica.


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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