TimeSpot - Local Time: leaderboard

Metric: Accuracy (%) of the predicted local time of day within one hour 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
1GLM-4.1V-9B (Thinking)33.74#457 (GLM-4.1V-9B)
2Qwen 2.5 VL 32B Instruct31.1#443
3Mistral Medium 3.130.73#400
4GLM-4.5V30.51#339
5GPT-4o Mini30.32#588
6InternVL3-78B29.64#345
7GPT-5.229.35#105
8Qwen 2.5 VL 72B Instruct28.71#364
9Gemini 2.0 Flash (Thinking)27.49#331 (Gemini 2.0 Flash)
10Gemini 2.0 Flash27.35#331
11Gemma 3 27B (IT)26.34#509
12Qwen 3 VL 235B A22B Instruct26.22#264
13Llama 3.2 11B Instruct25.74#1112
14Qwen 2.5 VL 7B Instruct25.68#643
15Gemini 2.5 Flash (Non-reasoning)25.15#237 (Gemini 2.5 Flash)

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

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