MMMU (Massive Multi-discipline Multimodal Understanding) — Same val/Pass@1 concept as MMMU, disjoint source family + lower band; kept separate.
| # | Model | Vendor | Best score | Runs | Last seen |
|---|---|---|---|---|---|
| 1 | Qwen3 VL 235B A22B Reasoning | Alibaba | 80.6 | 1 | 2026-08-23 |
| 2 | Qwen3 VL 235B A22B Instruct | Alibaba | 78.7 | 1 | 2026-08-23 |
| 3 | Qwen3 VL 32B Reasoning | Alibaba | 78.1 | 1 | 2026-08-23 |
| 4 | Claude Sonnet 4.5 | Anthropic | 77.8 | 1 | 2026-08-23 |
| 5 | Qwen3 VL 32B Instruct | Alibaba | 76 | 1 | 2026-08-23 |
| 6 | Qwen3 VL 30B A3B Reasoning | Alibaba | 76 | 1 | 2026-08-23 |
| 7 | Qwen3 VL 30B A3B Instruct | Alibaba | 74.2 | 1 | 2026-08-23 |
| 8 | Qwen3 VL Thinking (8B) | Alibaba | 74.1 | 1 | 2026-08-23 |
| 9 | Qwen3 VL 4B (Reasoning) | Alibaba | 70.8 | 1 | 2026-08-23 |
| 10 | Qwen3 VL 8B Instruct | Alibaba | 69.6 | 1 | 2026-08-23 |
| 11 | GPT-4o | OpenAI | 69.1 | 1 | 2026-08-24 |
| 12 | Claude 3.5 Sonnet | Anthropic | 68.3 | 2 | 2026-08-24 |
| 13 | Qwen3 VL 4B Instruct | Alibaba | 67.4 | 1 | 2026-08-23 |
| 14 | Gemma 3 27B | 64.9 | 1 | 2026-08-23 | |
| 15 | Qwen2-VL-72B-Instruct | Alibaba | 64.5 | 2 | 2026-08-24 |
| 16 | Gemma 3 12B | 59.6 | 1 | 2026-08-23 | |
| 17 | Gemini 1.5 Pro | 54.1 | 1 | 2026-08-24 | |
| 18 | GPT-4o mini | OpenAI | 52.1 | 1 | 2026-08-24 |
| 19 | Gemma 3 4B | 48.8 | 1 | 2026-08-23 | |
| 20 | LFM2.5-VL-3B | Liquid AI | 48.4 | 2 | 2026-08-23 |
| 21 | InternVL-2-8B | OpenGVLab | 46.3 | 1 | 2026-08-24 |
| 22 | LFM2-VL-3B | Liquid AI | 45.6 | 1 | 2026-08-22 |
| 23 | InternVL-2-4B | OpenGVLab | 44.2 | 1 | 2026-08-24 |
| 24 | Phi 3.5 Vision Instruct | Microsoft | 43 | 1 | 2026-08-24 |
| 25 | InternVL3.5-1B | OpenGVLab | 41.9 | 1 | 2026-08-09 |
| 26 | LFM2.5-VL-1.6B | Liquid AI | 40.6 | 1 | 2026-08-09 |
| 27 | LFM2-VL-1.6B | Liquid AI | 39.7 | 1 | 2026-08-09 |
| 28 | LFM2-VL-450M | Liquid AI | 34.4 | 1 | 2026-08-09 |
| 29 | North-Micro-Vision-Instruct | Cohere | 32.9 | 1 | 2026-08-23 |
| 30 | LFM2.5-VL-450M-Extract | Liquid AI | 32.7 | 1 | 2026-08-09 |
Best tracked score per model (default configuration; source-attributed and verification-tiered). Open a model for its full benchmark surface, provenance and pricing.