DailyClue - Location Identification: leaderboard
Metric: Accuracy (%) on location identification (country and first-level region of the scene) on DailyClue, 666 question-image pairs from daily scenarios whose answer requires finding a decisive visual clue; question-clue-answer triplets drafted by GPT-5 and Gemini 2.5 Pro, manually verified, and kept only when at most two of o4-mini, Gemini 2.5 Flash and Claude 3.7 Sonnet answered correctly; exact match, with a Gemini 2.5 Pro judge for open-ended answers; higher is better. Source: arxiv.org. Saturation forecast: Around December 2027. 24 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 2.5 Pro | 41.5 |
| 2 | GPT-5 | 38 |
| 3 | Gemini 2.5 Flash | 32.5 |
| 4 | O4 Mini | 25.5 |
| 5 | Qwen 2.5 VL 72B Instruct | 24.5 |
| 6 | Qwen 3 VL 235B A22B (Thinking) | 23 |
| 7 | Qwen 3 VL 235B A22B Instruct | 22.5 |
| 8 | Claude Sonnet 4 | 22 |
| 9 | Qwen 2.5 VL 32B Instruct | 21.5 |
| 10 | Claude Sonnet 4.5 | 21 |
| 11 | Claude 3.7 Sonnet | 18.5 |
| 12 | InternVL3-78B | 18 |
| 13 | InternVL3-38B | 17 |
| 14 | Qwen 2.5 VL 7B Instruct | 15 |
| 15 | InternVL3-8B | 13.5 |
Interactive version: theaggregate.ai/benchmark?slug=dailyclue-location-identification · How It Works · Data refreshed daily, snapshot 2026-10-07.