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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 11, 2026

Models17
Model coverage17
MetricScore
EvidenceB

On this page

  • Ranking
  • Distribution
  • Highlights
  • About
  • FAQ

OmniDocBench 1.5 Ranking

Higher score ranks better on this benchmark.

17 rows
Columns

Show columns

01MIMiniMax M3MiniMax91.6%100.0%17CAug 11, 2026
02ACQwen3.7-PlusAlibaba Cloud / Qwen Team91.4%93.8%17CAug 11, 2026
03ACQwen3.6 PlusAlibaba Cloud / Qwen Team91.2%87.5%17CAug 11, 2026
04ACQwen3.6-35B-A3BAlibaba Cloud / Qwen Team89.9%81.3%17CAug 11, 2026
05ACQwen3.5-122B-A10BAlibaba Cloud / Qwen Team89.8%75.0%17CAug 11, 2026
06ACQwen3.5-35B-A3BAlibaba Cloud / Qwen Team89.3%68.8%17CAug 11, 2026
07OPGPT-5.4OpenAI89.1%62.5%17CAug 11, 2026
08ACQwen3.5-27BAlibaba Cloud / Qwen Team88.9%56.3%17CAug 11, 2026
09MAKimi K2.5Moonshot AI88.8%50.0%17CAug 11, 2026
10OPGPT-5.5 InstantOpenAI87.5%43.8%17CAug 11, 2026
11OPGPT-5.4 miniOpenAI87.4%37.5%17CAug 11, 2026
12OPGPT-5.4 nanoOpenAI75.8%31.3%17CAug 11, 2026
13MEMuse Glimmer-30BMeta75.8%25.0%17CAug 11, 2026
14GODiffusionGemma 26B-A4BGoogle31.9%18.8%17CAug 11, 2026
15GOGemma 4 12BGoogle16.4%12.5%17CAug 11, 2026
16GOGemini 3 FlashGoogle12.1%6.3%17CAug 11, 2026
17GOGemini 3 ProGoogle11.5%0.0%17CAug 11, 2026

OmniDocBench 1.5 Score Distribution

A closer view of the leading scores on this benchmark.

OmniDocBench 1.5

OmniDocBench 1.5 Highlights

The leading models and scores on this benchmark.

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?

What OmniDocBench 1.5 measures and how its scores work.

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. This benchmark is not independently verified and has an evidence level of B.

Family
OmniDocBench 1.5
Modality
multimodal
Primary category
multimodal
Score direction
higher
LLMBoard eligible
Yes
Evaluation key
omnidocbench-1.5|llm-stats-current

Benchmark scores retain their original unit. Overall score eligibility is shown separately.

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?

17 model results are currently shown.

Does this benchmark affect the overall score?

Yes. This benchmark can contribute to the current LLMBoard capability score.