TimeSpot - Continent: leaderboard

Metric: Accuracy (%) of the predicted continent on TimeSpot's 1,455 ground-level photographs from 80 countries, each answered zero-shot in a structured multi-field schema from the image alone; a Gemini-2.5-Flash judge normalizes each field (synonyms, abbreviations) and marks it correct or not; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 27 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Flash (Non-reasoning)90.51#237 (Gemini 2.5 Flash)
2Gemini 2.5 Flash (Thinking)90.31#237 (Gemini 2.5 Flash)
3Gemini 2.0 Flash89.07#331
4Gemini 2.0 Flash (Thinking)88.66#331 (Gemini 2.0 Flash)
5Qwen 2.5 VL 7B Instruct85.7#643
6GLM-4.5V85.32#339
7GLM-4.1V-9B (Thinking)84.44#457 (GLM-4.1V-9B)
8GPT-5 Mini83.62#176
9Qwen 3 VL 235B A22B Instruct83.41#264
10GPT-4o Mini82.68#588
11O4 Mini82.39#172
12GPT-5.281.93#105
13Gemma 3 27B (IT)79.59#509
14Qwen 2.5 VL 32B Instruct78.56#443
15Llama 3.2 90B Vision Instruct78.08#611

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=timespot-continent · How It Works · Data refreshed daily, snapshot 2026-10-11.