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Puzzle#208

Geoguessr

Released: 2026-05-31

Google Street View Image
Country Flag

Sweden

Lat: 57.19576786020733

Lng: 13.49035312641347

See on Google Street View


6
Models Tested
533.7km
Avg. Distance
3909.0
Avg. Score
5
LLM Providers

Key:

Attempt
Solution

Score Threshold:

>4400
>2000
<2000

google/gemini-3-flash-preview

google

Score: 4705

Distance: 122km

Lat: 56.126521

Lng: 13.921354


The road markings consist of short, dashed white lines which are characteristic of Nordic roads, particularly in Sweden and Denmark. The mixed forest with birch trees (white bark) and coniferous trees, combined with the lush green shoulder and high-quality asphalt, suggests a location in Southern Sweden. The lighting and vegetation density are typical for the Småland or Skåne regions.


anthropic/claude-haiku-4.5

anthropic

Score: 3358

Distance: 796km

Lat: 60.5

Lng: 25.8


The image shows a rural road with mixed forest vegetation typical of Northern Europe, specifically the boreal/taiga forest region. The presence of birch trees (white bark visible), coniferous trees (spruce/pine), and the lush green vegetation suggests a Nordic country, likely Finland or Sweden. The road surface, road markings, and landscape characteristics are consistent with rural Finland. The terrain, vegetation density, and forest composition are typical of central or eastern Finland. Based on the forest type, road infrastructure, and overall landscape appearance, this appears to be somewhere in Finland’s interior region.


anthropic/claude-sonnet-4.6

anthropic

Score: 2846

Distance: 1127km

Lat: 47.8

Lng: 7.2


The image shows a rural road with dense mixed deciduous and coniferous forest vegetation. The road markings (white dashes on the left side) and the style of the road surface suggest this is in Western Europe. The vegetation mix with birch trees and dense undergrowth, along with the landscape character, is consistent with the Alsace/Black Forest region or similar areas in France/Germany/Switzerland border area. The road style and marking pattern suggests France or possibly southwestern Germany/Switzerland.


meta-llama/llama-4-maverick

meta

Score: 3255

Distance: 858km

Lat: 49.579306

Lng: 11.373639


The image depicts a rural road with a grass verge and dense tree cover, typical of many areas in Europe. The road markings and the style of the road are consistent with German roads. The presence of birch trees and the overall landscape suggests a temperate climate, which is common in parts of Germany. The coordinates guessed are near the town of Schnaittach in Bavaria, Germany, which fits the observed landscape.


openai/gpt-5-image-mini

openai

Score: 4424

Distance: 245km

Lat: 59.25

Lng: 15


Vegetation and trees are birch-heavy mixed forest typical of northern Europe/Scandinavia. Road markings are short white edge dashes positioned like Swedish rural roads (small rectangular edge markings rather than wide continuous lines) and the narrow two‑lane asphalt with grassy verge matches Swedish countryside. No roadside stone walls or Mediterranean plants, so inland Sweden is most likely; I pick central Sweden (near Örebro/Östergötland area).


MoonshotAI

moonshotai/kimi-k2.5

moonshot

Score: 4866

Distance: 54km

Lat: 57.5

Lng: 14.2


The road features white dashed center lines and solid white edge lines, which is characteristic of Swedish road marking standards. The dense mixed forest containing birch trees (identifiable by white bark) alongside coniferous trees indicates a hemiboreal climate zone typical of southern or central Sweden. The narrow paved road with minimal infrastructure suggests a rural secondary road through forested terrain. The vegetation composition and road design are consistent with low-traffic routes in Swedish woodland areas, though similar environments exist in neighboring Nordic countries.


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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