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 11, 2026
Models1
Model coverage1
MetricScore
EvidenceB
MMVetGPT4Turbo Ranking
Higher score ranks better on this benchmark.
| 01 | AC | 74.0% | 100.0% | 1 | C |
MMVetGPT4Turbo Highlights
The leading models and scores on this benchmark.
What is MMVetGPT4Turbo?
What MMVetGPT4Turbo measures and how its scores work.
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. 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
- mmvetgpt4turbo|llm-stats-current
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 74.0%.
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 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.