MMStar: leaderboard
MMStar evaluates vision-indispensable multimodal capabilities across perception, reasoning, STEM, and math axes.
Metric: Accuracy (%). Source: mmstar-benchmark.github.io. Source: huggingface.co. Source: rank.opencompass.org.cn. Saturation forecast: Around January 2027. 284 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-5 | 75.7 | #98 |
| 2 | Gemini 2.5 Pro | 73.6 | #152 |
| 3 | InternVL3-78B | 73.4 | #352 |
| 4 | GPT-5 Mini (2025-08-07) | 73.2 | #172 |
| 5 | InternVL3-38B | 72.6 | #405 |
| 6 | Doubao-1.5-Pro | 71.9 | #287 |
| 7 | GPT-4o ChatGPT | 70.2 | |
| 8 | GPT-4.1 (2025-04-14) | 69.8 | #250 |
| 9 | InternVL2.5-78B | 69.5 | #431 |
| 10 | Gemini 2.0 Flash | 69.4 | #342 |
| 11 | GPT-4.5 | 69.3 | #274 |
| 12 | InternVL3-14B | 68.9 | #505 |
| 13 | InternVL3-8B | 68.7 | #620 |
| 14 | Qwen 2 VL 72B | 68.6 | #460 |
| 15 | GPT-5 Nano | 68.3 | #425 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=mmstar · How It Works · Data refreshed daily, snapshot 2026-10-20.