TimeSpot - Climate Zone: leaderboard

Metric: Accuracy (%) of the predicted Koppen-Geiger climate zone 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 March 2027. 27 models tracked.

Top models

#ModelScoreOverall rank
1O4 Mini73.06#172
2GPT-5 Mini72.47#176
3GPT-5.271.93#105
4InternVL3-78B71.61#345
5Gemini 2.5 Flash (Non-reasoning)71.34#237 (Gemini 2.5 Flash)
6Qwen 2.5 VL 7B Instruct70.86#643
7Gemini 2.5 Flash (Thinking)70.86#237 (Gemini 2.5 Flash)
8GLM-4.1V-9B (Thinking)70.19#457 (GLM-4.1V-9B)
9Gemini 2.0 Flash68.52#331
10Gemini 2.0 Flash (Thinking)66.73#331 (Gemini 2.0 Flash)
11Mistral Medium 3.166.67#400
12Qwen 2.5 VL 72B Instruct65.15#364
13Llama 3.2 90B Vision Instruct63.85#611
14Qwen 2.5 VL 32B Instruct62.95#443
15GLM-4.5V62.09#339

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

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