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HomeBenchmarksmultimodalOmniDocBench 1.5

multimodal benchmark

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.

Updated Aug 7, 2026

Published models16
Registry coverage16
MetricScore
EvidenceB

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  • Distribution
  • Highlights
  • About
  • FAQ

OmniDocBench 1.5 leaderboard

Sorted by the source-provided rank. Higher score is better according to the registry.

16 rows
Columns

Show columns

1MIMiniMax M3MiniMax91.6%100.0%16CAug 7, 2026
2ACQwen3.7-PlusAlibaba Cloud / Qwen Team91.4%93.3%16CAug 7, 2026
3ACQwen3.6 PlusAlibaba Cloud / Qwen Team91.2%86.7%16CAug 7, 2026
4ACQwen3.6-35B-A3BAlibaba Cloud / Qwen Team89.9%80.0%16CAug 7, 2026
5ACQwen3.5-122B-A10BAlibaba Cloud / Qwen Team89.8%73.3%16CAug 7, 2026
6ACQwen3.5-35B-A3BAlibaba Cloud / Qwen Team89.3%66.7%16CAug 7, 2026
7OPGPT-5.4OpenAI89.1%60.0%16CAug 7, 2026
8ACQwen3.5-27BAlibaba Cloud / Qwen Team88.9%53.3%16CAug 7, 2026
9MAKimi K2.5Moonshot AI88.8%46.7%16CAug 7, 2026
10OPGPT-5.5 InstantOpenAI87.5%40.0%16CAug 7, 2026
11OPGPT-5.4 miniOpenAI87.4%33.3%16CAug 7, 2026
12OPGPT-5.4 nanoOpenAI75.8%26.7%16CAug 7, 2026
13GODiffusionGemma 26B-A4BGoogle31.9%20.0%16CAug 7, 2026
14GOGemma 4 12BGoogle16.4%13.3%16CAug 7, 2026
15GOGemini 3 FlashGoogle12.1%6.7%16CAug 7, 2026
16GOGemini 3 ProGoogle11.5%0.0%16CAug 7, 2026

Score distribution

Top published rows on the benchmark's original scale.

OmniDocBench 1.5

OmniDocBench 1.5 highlights

The top published results on this benchmark's own scale.

Rank #1MiniMax M391.6%Rank #2Qwen3.7-Plus91.4%Rank #3Qwen3.6 Plus91.2%Rank #4Qwen3.6-35B-A3B89.9%

What is OmniDocBench 1.5?

Definition and scoring fields from the benchmark registry.

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.

Scores are shown in ratio. The current registry marks this benchmark as not independently verified with evidence level B.

Family
OmniDocBench 1.5
Modality
multimodal
Primary category
multimodal
Score direction
higher
LLMBoard eligible
No
Evaluation key
omnidocbench-1.5|llm-stats-current

Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.

FAQ

Common questions about OmniDocBench 1.5.

Which model scores highest on OmniDocBench 1.5?

MiniMax M3 is currently ranked first with 91.6%.

What does OmniDocBench 1.5 measure?

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.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

16 unique published model results are currently shown.

Does this benchmark affect the overall score?

This benchmark is preserved as source-native evidence but is not eligible for the current overall score.

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