multimodal benchmark
MMMU-Pro (with tools)
MMMU-Pro variant evaluated with tool access enabled.
Updated Aug 11, 2026
Models4
Model coverage4
MetricScore
EvidenceB
MMMU-Pro (with tools) Ranking
Higher score ranks better on this benchmark.
| 01 | OP | 84.6% | 100.0% | 4 | C | |
| 02 | MA | 83.4% | 66.7% | 4 | C | |
| 03 | OP | 82.0% | 33.3% | 4 | C | |
| 04 | OP | 79.5% | 0.0% | 4 | C |
MMMU-Pro (with tools) Score Distribution
A closer view of the leading scores on this benchmark.
MMMU-Pro (with tools) Highlights
The leading models and scores on this benchmark.
What is MMMU-Pro (with tools)?
What MMMU-Pro (with tools) measures and how its scores work.
MMMU-Pro variant evaluated with tool access enabled.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- MMMU-Pro (with tools)
- Modality
- multimodal
- Primary category
- multimodal
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- mmmu-pro-with-tools|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about MMMU-Pro (with tools).
Which model scores highest on MMMU-Pro (with tools)?
GPT-5.6 Sol is currently ranked first with 84.6%.
What does MMMU-Pro (with tools) measure?
MMMU-Pro variant evaluated with tool access enabled.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
4 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.