FlagEval VQA - Multi-Image Analysis: leaderboard
Metric: Score. Source: flageval.baai.ac.cn. 24 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5 (High) | 62.5 |
| 2 | O3 Mini (Low) | 61.7 |
| 3 | O3 Mini (High) | 60 |
| 4 | GPT-5 (Low) | 58.3 |
| 5 | GPT-4.1 | 57.5 |
| 6 | Gemini 2.5 Pro | 51.7 |
| 7 | O4 Mini (High) | 51.7 |
| 8 | Gemini 2.5 Flash | 46.7 |
| 9 | GLM-4.5V | 45 |
| 10 | Gemini 2.5 Flash (Thinking) | 44.2 |
| 11 | O4 Mini (Low) | 43.3 |
| 12 | Step-3 | 42.5 |
| 13 | Claude Sonnet 4 (Thinking) | 33.3 |
| 14 | Mistral Medium 3 | 25 |
| 15 | Mistral Medium 3.1 | 20 |
Interactive version: theaggregate.ai/benchmark?slug=flageval-vqa-multi-image-analysis · How It Works · Data refreshed daily, snapshot 2026-09-05.