Geoguessr
Released: 2026-04-11
Key:
Score Threshold:
meta-llama/llama-4-maverick
meta
Score: 3867
Distance: 514km
Lat: 48.463911
Lng: -1.503609
The image appears to be a rural scene with a dirt road, trees, and a building on the right side. The architecture of the building and the style of the car suggest a location in Europe. After analyzing the image, I found a similar location in France that matches the scene. The guessed coordinates are near the commune of Saint-Brice-de-Landelles in Normandy, France.
google/gemini-3-flash-preview
Score: 4886
Distance: 46km
Lat: 49.7735315
Lng: 5.9255792
The architectural style of the building on the right, featuring a stone facade and slate-like roof with skylights, is characteristic of the Ardennes region. Specifically, the mix of wooded landscape, the narrow asphalt road, and the car models suggest Luxembourg or Eastern Belgium. This specific location is near Septfontaines in Luxembourg, recognizable by the valley structure and the characteristic stone farmhouse architecture.
x-ai/grok-4-fast
x-ai
Score: 4452
Distance: 232km
Lat: 48.5
Lng: 8
The image depicts a rural scene with a stone barn featuring a slate roof, narrow gravel road, dense deciduous forest, and early spring vegetation (bare trees and emerging green grass). This architecture and landscape are characteristic of the Black Forest region in southwestern Germany, particularly in Baden-Württemberg.
anthropic/claude-haiku-4.5
anthropic
Score: 3751
Distance: 575km
Lat: 50.8
Lng: 13.2
This image shows a rural European landscape with characteristic features of eastern Germany or Czech border region. The stone/brick building on the right with deteriorating condition, the deciduous forest in early spring, the unpaved/gravel road, parked cars, and overall countryside aesthetic are typical of rural Saxony or northern Bohemia. The architectural style and vegetation pattern suggest this is likely in the mountainous border region between Germany and the Czech Republic, possibly near the Erzgebirge mountains. The overgrown nature of the property and rustic setting is consistent with depopulated rural areas in this region.
anthropic/claude-sonnet-4.6
anthropic
Score: 4940
Distance: 24km
Lat: 49.8
Lng: 5.1
The image shows a rural dirt/gravel road with deciduous forest, a stone building on the right side, and a small hatchback car (appears to be a Renault Clio or similar French car). The architectural style of the stone building, the vegetation, and the overall landscape suggest this is in the Ardennes region, likely in Belgium or Luxembourg, possibly in the Belgian Ardennes or the Grand Duchy of Luxembourg area. The stone construction style and the wooded valley setting are characteristic of this region.
openai/gpt-5-image-mini
openai
Score: 4852
Distance: 60km
Lat: 50.1325
Lng: 5.659
Temperate deciduous forest and small stone farmhouse with slate roof suggest the Ardennes region of Belgium/Luxembourg/France. Narrow unmarked rural lane, grassy parking area and European small hatchbacks point to a French-speaking area (Wallonia). Building masonry and roof shape are typical of Belgian Ardennes villages near La Roche-en-Ardenne, so I place the image in the Belgian Ardennes (around 50.1325, 5.6590).
moonshotai/kimi-k2.5
moonshot
Score: 4872
Distance: 52km
Lat: 50.1
Lng: 5.4
The image shows a narrow rural paved road with a traditional stone building on the right side featuring exposed stonework, roof windows/skylights, and a blue door/window frame. The architecture is characteristic of Belgian rural buildings, particularly in the Wallonia region. The surrounding landscape consists of dense deciduous forest with bare trees (suggesting late autumn or early spring), grassy verges, and forestry activity indicated by the stacked logs on the left. This combination of narrow rural roads, stone farmhouses, and forested terrain is typical of the Belgian Ardennes region. The vehicle is parked on the right side of the road, consistent with right-hand traffic in continental Europe. The overall scene matches the rural countryside of southern Belgium (Wallonia), likely in the provinces of Namur or Luxembourg.
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.