multimodal benchmark
MMMU-Pro (with tools) Leaderboard
MMMU-Pro variant evaluated with tool access enabled.
Updated Oct 23, 2026
Models4
Model coverage4
MetricScore
EvidenceB
MMMU-Pro (with tools) Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelOP | Score84.60% | Percentile100.00% | Participants4 | EvidenceC | Evaluated |
| Rank02 | ModelMA | Score83.40% | Percentile66.67% | Participants4 | EvidenceC | Evaluated |
| Rank03 | ModelOP | Score82.00% | Percentile33.33% | Participants4 | EvidenceC | Evaluated |
| Rank04 | ModelOP | Score79.50% | Percentile0.00% | Participants4 | EvidenceC | Evaluated |
MMMU-Pro (with tools) Highlights
The leading models and scores on this benchmark.
MMMU-Pro (with tools) Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for MMMU-Pro (with tools)
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is MMMU-Pro (with tools)?
What MMMU-Pro (with tools) measures and how its scores work.
MMMU-Pro (with tools) is a multimodal MMMU-Pro variant evaluated with tool access enabled.
It reports a Score expressed as a ratio.
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
- No
- Evaluation key
- overall
LLM Stats. 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 84.60%.
What are the top three models on MMMU-Pro (with tools)?
The current leaders are GPT-5.6 Sol (84.60%), Kimi K3 (83.40%), and GPT-5.6 Terra (82.00%).
Which MMMU-Pro (with tools) model has the lowest official input price?
GPT-5.6 Luna has the lowest matched official input price at $0.20 input / $1.2 output per 1M tokens.
Which models are fastest among MMMU-Pro (with tools) results?
The fastest matched records are GPT-5.6 Luna (215.52 tok/s via OpenAI), GPT-5.6 Terra (43.35 tok/s via OpenAI), and GPT-5.6 Sol (25.46 tok/s via OpenAI).
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.