MMLongBench-Doc
MMLongBench-Doc evaluates long document understanding capabilities in vision-language models.
Qwen3.6 Plus from Alibaba Cloud / Qwen Team currently leads the MMLongBench-Doc leaderboard with a score of 0.620 across 5 evaluated AI models.
What MMLongBench-Doc measures
MMLongBench-Doc is a image benchmark that evaluates large language models on long context, multimodal, and vision tasks. LLM Stats tracks 5 models on this benchmark, with a maximum possible score of 100. Current average across reported models is 0.6, with the leader reaching 0.6.
Compare leaders on the best AI for long context, best AI for multimodal and best AI for vision leaderboards.
Qwen3.6 Plus leads with 0.6%, followed by Qwen3.5-27B at 0.6% and Qwen3.5-35B-A3B at 0.6%.
Progress Over Time
Interactive timeline showing model performance evolution on MMLongBench-Doc
MMLongBench-Doc Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 |  Alibaba Cloud / Qwen Team | — | 1.0M | $0.50 / $3.00 | ||
| 2 | Alibaba Cloud / Qwen Team | 27B | 262K | $0.30 / $2.40 | ||
| 3 | Alibaba Cloud / Qwen Team | 35B | 262K | $0.25 / $2.00 | ||
| 4 | Alibaba Cloud / Qwen Team | 122B | 262K | $0.40 / $3.20 | ||
| 5 | Alibaba Cloud / Qwen Team | 236B | — | — |
FAQ
Common questions about MMLongBench-Doc.
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