multimodal benchmark
MM-MT-Bench
A multi-turn LLM-as-a-judge evaluation benchmark for testing multimodal instruction-tuned models' ability to follow user instructions in multi-turn dialogues and answer open-ended questions in a zero-shot manner.
Updated Aug 11, 2026
Models17
Model coverage17
MetricScore
EvidenceB
MM-MT-Bench Ranking
Higher score ranks better on this benchmark.
MM-MT-Bench Score Distribution
A closer view of the leading scores on this benchmark.
MM-MT-Bench Highlights
The leading models and scores on this benchmark.
What is MM-MT-Bench?
What MM-MT-Bench measures and how its scores work.
A multi-turn LLM-as-a-judge evaluation benchmark for testing multimodal instruction-tuned models' ability to follow user instructions in multi-turn dialogues and answer open-ended questions in a zero-shot manner.
Scores are shown in points. This benchmark is not independently verified and has an evidence level of B.
- Family
- MM-MT-Bench
- Modality
- multimodal
- Primary category
- multimodal
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- mm-mt-bench|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about MM-MT-Bench.
Which model scores highest on MM-MT-Bench?
Mistral Large 3 is currently ranked first with 84.9 points.
What does MM-MT-Bench measure?
A multi-turn LLM-as-a-judge evaluation benchmark for testing multimodal instruction-tuned models' ability to follow user instructions in multi-turn dialogues and answer open-ended questions in a zero-shot manner.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
17 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.