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multimodal benchmark

MME-RealWorld

A comprehensive evaluation benchmark for Multimodal Large Language Models featuring over 13,366 high-resolution images and 29,429 question-answer pairs across 43 subtasks and 5 real-world scenarios. The largest manually annotated multimodal benchmark to date, designed to test MLLMs on challenging high-resolution real-world scenarios.

Updated Aug 11, 2026

Models1
Model coverage1
MetricScore
EvidenceB

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MME-RealWorld Ranking

Higher score ranks better on this benchmark.

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01ACQwen2.5-Omni-7BAlibaba Cloud / Qwen Team61.6%100.0%1CAug 11, 2026

MME-RealWorld Highlights

The leading models and scores on this benchmark.

Rank #1Qwen2.5-Omni-7B61.6%

What is MME-RealWorld?

What MME-RealWorld measures and how its scores work.

A comprehensive evaluation benchmark for Multimodal Large Language Models featuring over 13,366 high-resolution images and 29,429 question-answer pairs across 43 subtasks and 5 real-world scenarios. The largest manually annotated multimodal benchmark to date, designed to test MLLMs on challenging high-resolution real-world scenarios.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
MME-RealWorld
Modality
multimodal
Primary category
multimodal
Score direction
higher
LLMBoard eligible
No
Evaluation key
mme-realworld|llm-stats-current

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

FAQ

Common questions about MME-RealWorld.

Which model scores highest on MME-RealWorld?

Qwen2.5-Omni-7B is currently ranked first with 61.6%.

What does MME-RealWorld measure?

A comprehensive evaluation benchmark for Multimodal Large Language Models featuring over 13,366 high-resolution images and 29,429 question-answer pairs across 43 subtasks and 5 real-world scenarios. The largest manually annotated multimodal benchmark to date, designed to test MLLMs on challenging high-resolution real-world scenarios.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

1 model results are currently shown.

Does this benchmark affect the overall score?

No. This benchmark is shown for reference but does not contribute to the overall score.