Multimodal & Grounded benchmark
MMMU leaderboard
Massive Multi-discipline Multimodal Understanding. Every model the catalog carries a published MMMU value for, ranked by that value.
A broad multimodal reasoning benchmark spanning charts, diagrams, tables, and academic visual question answering.
MMMU ranking
11 models with a published MMMU value, ordered by that value, highest first. Models the source has not scored on this benchmark are not listed — they are unmeasured, not last.
| Rank | Model | Provider | Image + text question answering |
|---|---|---|---|
| 1 |  Qwen3.6 Plus | Alibaba | 86.0 |
| 2 | Qwen3.5-122B-A10B | Alibaba | 83.9 |
| 3 | Qwen3.6-27B | Alibaba | 82.9 |
| 4 | Qwen3.5-27B | Alibaba | 82.3 |
| 5 | Qwen3.6-35B-A3B | Alibaba | 81.7 |
| 6 | Qwen3.5-35B-A3B | Alibaba | 81.4 |
| 7 |  Command A+ | Cohere | 75.1 |
| 8 |  Nemotron 3 Nano Omni 30B A3B | NVIDIA | 70.8 |
| 9 |  LFM2.5-VL-3B | LiquidAI | 48.4 |
| 10 | ZYZAYA1-VL-8B | Zyphra | 46.0 |
| 11 | LFM2.5-VL-450M | LiquidAI | 32.7 |
Evidence key: Observed
Rows are ordered by the value MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI published, highest first. The source does not state whether a higher value is the better result, so this page does not either: for a benchmark that measures a rate of failure, read the table from the bottom.