TimeSpot - Month: leaderboard

Metric: Accuracy (%) of the predicted month 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: Not forecast. 27 models tracked.

Top models

#ModelScoreOverall rank
1O4 Mini48.2#172
2Qwen 2.5 VL 7B Instruct44.96#643
3GLM-4.1V-9B (Thinking)38.88#457 (GLM-4.1V-9B)
4GLM-4.5V36.04#339
5GPT-5 Mini34.27#176
6Gemini 2.5 Flash (Thinking)24.26#237 (Gemini 2.5 Flash)
7Gemini 2.5 Flash (Non-reasoning)23.91#237 (Gemini 2.5 Flash)
8Gemini 2.0 Flash22.89#331
9Gemini 2.0 Flash (Thinking)22.68#331 (Gemini 2.0 Flash)
10GPT-4o Mini22.34#588
11Llama 3.2 90B Vision Instruct19.72#611
12Qwen 3 VL 235B A22B Instruct19.48#264
13GPT-5.219.17#105
14Claude 3.5 Haiku19.04#553
15Qwen 2.5 VL 72B Instruct18.28#364

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

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