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general benchmark

MLVU-M Leaderboard

MLVU-M is a general benchmark with a Score reported as a ratio.

Updated Sep 5, 2026

Models8
Model coverage8
MetricScore
EvidenceB

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MLVU-M Ranking

Higher score ranks better on this benchmark.

8 rows
Columns

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Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelACQwen3 VL 32B InstructAlibaba Cloud / Qwen TeamScore82.10%Percentile100.00%Participants8EvidenceCEvaluatedSep 8, 2026
Rank02ModelACQwen3 VL 30B A3B InstructAlibaba Cloud / Qwen TeamScore81.30%Percentile85.71%Participants8EvidenceCEvaluatedSep 8, 2026
Rank03ModelACQwen3 VL 30B A3B ThinkingAlibaba Cloud / Qwen TeamScore78.90%Percentile71.43%Participants8EvidenceCEvaluatedSep 8, 2026
Rank04ModelACQwen3 VL 8B InstructAlibaba Cloud / Qwen TeamScore78.10%Percentile57.14%Participants8EvidenceCEvaluatedSep 8, 2026
Rank05ModelACQwen3 VL 4B ThinkingAlibaba Cloud / Qwen TeamScore75.70%Percentile42.86%Participants8EvidenceCEvaluatedSep 8, 2026
Rank06ModelACQwen3 VL 4B InstructAlibaba Cloud / Qwen TeamScore75.30%Percentile28.57%Participants8EvidenceCEvaluatedSep 8, 2026
Rank07ModelACQwen3 VL 8B ThinkingAlibaba Cloud / Qwen TeamScore75.10%Percentile14.29%Participants8EvidenceCEvaluatedSep 8, 2026
Rank08ModelACQwen2.5 VL 72B InstructAlibaba Cloud / Qwen TeamScore74.60%Percentile0.00%Participants8EvidenceCEvaluatedSep 8, 2026

MLVU-M Highlights

The leading models and scores on this benchmark.

MLVU-M Score Distribution

A closer view of the leading scores on this benchmark.

MLVU-M

The Top AI Models for MLVU-M

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

What is MLVU-M?

What MLVU-M measures and how its scores work.

MLVU-M is a benchmark.

It reports a Score as a ratio.

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

Family
MLVU-M
Modality
text
Primary category
general
Score direction
higher
LLMBoard eligible
No
Evaluation key
overall

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

FAQ

Common questions about MLVU-M.

Which model scores highest on MLVU-M?

Qwen3 VL 32B Instruct is currently ranked first with 82.10%.

What are the top three models on MLVU-M?

The current leaders are Qwen3 VL 32B Instruct (82.10%), Qwen3 VL 30B A3B Instruct (81.30%), and Qwen3 VL 30B A3B Thinking (78.90%).

Which MLVU-M model has the lowest official input price?

No matched official input price is currently available.

Which models are fastest among MLVU-M results?

The fastest matched records are Qwen3 VL 4B Thinking (8.77 tok/s via DeepInfra).

Does the highest score result prove overall model quality?

No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.

What does MLVU-M measure?

It reports a Score as a ratio.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

8 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.

Rank #1Qwen3 VL 32B Instruct82.10%
Rank #2Qwen3 VL 30B A3B Instruct81.30%
Rank #3Qwen3 VL 30B A3B Thinking78.90%
Rank #4Qwen3 VL 8B Instruct78.10%

Ranking basisThis mlvu-m AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    AC
    Qwen3 VL 32B InstructAlibaba Cloud / Qwen Team
    Score
    82.10%

    Strengths

    • Ranks #1 of 8 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MLVU-M, not total model capability
  2. 02
    AC
    Qwen3 VL 30B A3B InstructAlibaba Cloud / Qwen Team
    Score
    81.30%

    Strengths

    • Ranks #2 of 8 compared models
    • 86th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MLVU-M, not total model capability
  3. 03
    AC
    Alibaba Cloud / Qwen Team
    Score
    78.90%

    Strengths

    • Ranks #3 of 8 compared models
    • 71th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MLVU-M, not total model capability
  4. 04
    AC
    Alibaba Cloud / Qwen Team
    Score
    78.10%

    Strengths

    • Ranks #4 of 8 compared models
    • 57th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MLVU-M, not total model capability
  5. 05
    AC
    Alibaba Cloud / Qwen Team
    Score
    75.70%
    Speed
    Up to 8.77 tok/s via DeepInfra

    Strengths

    • Ranks #5 of 8 compared models
    • 43th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MLVU-M, not total model capability

Selection summary

Best AI Models for MLVU-M

Qwen3 VL 32B Instruct currently leads MLVU-M with 82.10%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.

Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.

Qwen3 VL 30B A3B Thinking
Qwen3 VL 8B Instruct
Qwen3 VL 4B Thinking
Benchmark rank #1Qwen3 VL 32B Instruct82.10%
Benchmark rank #2Qwen3 VL 30B A3B Instruct81.30%
Benchmark rank #3Qwen3 VL 30B A3B Thinking78.90%