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math benchmark

MMVetGPT4Turbo

MM-Vet evaluation using GPT-4 Turbo for scoring. This variant of MM-Vet examines large multimodal models on complicated multimodal tasks requiring integrated capabilities across six core vision-language abilities: recognition, knowledge, spatial awareness, language generation, OCR, and math.

Updated Aug 7, 2026

Published models1
Registry coverage1
MetricScore
EvidenceB

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MMVetGPT4Turbo leaderboard

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

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1ACQwen2-VL-72B-InstructAlibaba Cloud / Qwen Team74.0%100.0%1CAug 7, 2026

MMVetGPT4Turbo highlights

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

Rank #1Qwen2-VL-72B-Instruct74.0%

What is MMVetGPT4Turbo?

Definition and scoring fields from the benchmark registry.

MM-Vet evaluation using GPT-4 Turbo for scoring. This variant of MM-Vet examines large multimodal models on complicated multimodal tasks requiring integrated capabilities across six core vision-language abilities: recognition, knowledge, spatial awareness, language generation, OCR, and math.

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

Family
MMVetGPT4Turbo
Modality
multimodal
Primary category
math
Score direction
higher
LLMBoard eligible
No
Evaluation key
mmvetgpt4turbo|llm-stats-current

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

FAQ

Common questions about MMVetGPT4Turbo.

Which model scores highest on MMVetGPT4Turbo?

Qwen2-VL-72B-Instruct is currently ranked first with 74.0%.

What does MMVetGPT4Turbo measure?

MM-Vet evaluation using GPT-4 Turbo for scoring. This variant of MM-Vet examines large multimodal models on complicated multimodal tasks requiring integrated capabilities across six core vision-language abilities: 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 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.

Rankings

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Image GenerationVideo GenerationSpeech-to-TextEmbeddings

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