OmniDocBench 1.5
OmniDocBench 1.5 is a comprehensive benchmark for evaluating multimodal large language models on document understanding tasks, including OCR, document parsing, information extraction, and visual question answering across diverse document types. Lower Overall Edit Distance scores are better.
Qwen3.6 Plus from Alibaba Cloud / Qwen Team currently leads the OmniDocBench 1.5 leaderboard with a score of 0.912 across 11 evaluated AI models.
Qwen3.6 Plus leads with 91.2%, followed by Qwen3.6-35B-A3B at 89.9% and Qwen3.5-122B-A10B at 89.8%.
Progress Over Time
Interactive timeline showing model performance evolution on OmniDocBench 1.5
OmniDocBench 1.5 Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 |  Alibaba Cloud / Qwen Team | — | 1.0M | $0.50 / $3.00 | ||
| 2 | Alibaba Cloud / Qwen Team | 35B | — | — | ||
| 3 | Alibaba Cloud / Qwen Team | 122B | 262K | $0.40 / $3.20 | ||
| 4 | Alibaba Cloud / Qwen Team | 35B | 262K | $0.25 / $2.00 | ||
| 5 |  OpenAI | — | 1.0M | $2.50 / $15.00 | ||
| 6 | Alibaba Cloud / Qwen Team | 27B | 262K | $0.30 / $2.40 | ||
| 7 |  Moonshot AI | 1.0T | 262K | $0.60 / $3.00 | ||
| 8 | OpenAI | — | 400K | $0.75 / $4.50 | ||
| 9 | OpenAI | — | 400K | $0.20 / $1.25 | ||
| 10 |  Google | — | 1.0M | $0.50 / $3.00 | ||
| 11 | Google | — | — | — |
FAQ
Common questions about OmniDocBench 1.5.
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