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math benchmark

MMVetGPT4Turbo Leaderboard

MMVetGPT4Turbo is an MM-Vet evaluation variant that uses GPT-4 Turbo for scoring.

Updated Sep 5, 2026

Models1
Model coverage1
MetricScore
EvidenceB

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  • Highlights
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  • About
  • FAQ

MMVetGPT4Turbo Ranking

Higher score ranks better on this benchmark.

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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelACQwen2-VL-72B-InstructAlibaba Cloud / Qwen TeamScore74.00%Percentile100.00%Participants1EvidenceCEvaluatedSep 8, 2026

MMVetGPT4Turbo Highlights

The leading models and scores on this benchmark.

Rank #1Qwen2-VL-72B-Instruct74.00%

The Top AI Models for MMVetGPT4Turbo

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

Ranking basisThis mmvetgpt4turbo 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
    Alibaba Cloud / Qwen Team
    Score
    74.00%

    Strengths

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

    Considerations

    • This result measures MMVetGPT4Turbo, not total model capability

Selection summary

Best AI Models for MMVetGPT4Turbo

Qwen2-VL-72B-Instruct currently leads MMVetGPT4Turbo with 74.00%. 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.

What is MMVetGPT4Turbo?

What MMVetGPT4Turbo measures and how its scores work.

MMVetGPT4Turbo is an evaluation of large multimodal models on complicated multimodal tasks.

It measures integrated capabilities in recognition, knowledge, spatial awareness, language generation, OCR, and math.

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

Family
MMVetGPT4Turbo
Modality
multimodal
Primary category
math
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 MMVetGPT4Turbo.

Which model scores highest on MMVetGPT4Turbo?

Qwen2-VL-72B-Instruct is currently ranked first with 74.00%.

What are the top three models on MMVetGPT4Turbo?

The current leaders are Qwen2-VL-72B-Instruct (74.00%).

Which MMVetGPT4Turbo model has the lowest official input price?

No matched official input price is currently available.

Which models are fastest among MMVetGPT4Turbo results?

No matched runtime record is currently available.

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 MMVetGPT4Turbo measure?

It measures integrated capabilities in recognition, knowledge, spatial awareness, language generation, OCR, and math.

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.

Qwen2-VL-72B-Instruct
Benchmark rank #1Qwen2-VL-72B-Instruct74.00%