multimodal benchmark
MuirBench
A comprehensive benchmark for robust multi-image understanding capabilities of multimodal LLMs. Consists of 12 diverse multi-image tasks involving 10 categories of multi-image relations (e.g., multiview, temporal relations, narrative, complementary). Comprises 11,264 images and 2,600 multiple-choice questions created in a pairwise manner, where each standard instance is paired with an unanswerable variant for reliable assessment.
Updated Aug 11, 2026
Models11
Model coverage11
MetricScore
EvidenceB
MuirBench Ranking
Higher score ranks better on this benchmark.
| 01 | AC | 80.3% | 100.0% | 11 | C | |
| 02 | AC | 80.1% | 90.0% | 11 | C | |
| 03 | AC | 77.6% | 80.0% | 11 | C | |
| 04 | AC | 76.8% | 70.0% | 11 | C | |
| 05 | AC | 75.0% | 60.0% | 11 | C | |
| 06 | AC | 72.8% | 50.0% | 11 | C | |
| 07 | AC | 72.8% | 40.0% | 11 | C | |
| 08 | AC | 64.4% | 30.0% | 11 | C | |
| 09 | AC | 63.8% | 20.0% | 11 | C | |
| 10 | AC | 62.9% | 10.0% | 11 | C | |
| 11 | AC | 59.2% | 0.0% | 11 | C |
MuirBench Score Distribution
A closer view of the leading scores on this benchmark.
MuirBench Highlights
The leading models and scores on this benchmark.
What is MuirBench?
What MuirBench measures and how its scores work.
A comprehensive benchmark for robust multi-image understanding capabilities of multimodal LLMs. Consists of 12 diverse multi-image tasks involving 10 categories of multi-image relations (e.g., multiview, temporal relations, narrative, complementary). Comprises 11,264 images and 2,600 multiple-choice questions created in a pairwise manner, where each standard instance is paired with an unanswerable variant for reliable assessment.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- MuirBench
- Modality
- multimodal
- Primary category
- multimodal
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- muirbench|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about MuirBench.
Which model scores highest on MuirBench?
Qwen3 VL 32B Thinking is currently ranked first with 80.3%.
What does MuirBench measure?
A comprehensive benchmark for robust multi-image understanding capabilities of multimodal LLMs. Consists of 12 diverse multi-image tasks involving 10 categories of multi-image relations (e.g., multiview, temporal relations, narrative, complementary). Comprises 11,264 images and 2,600 multiple-choice questions created in a pairwise manner, where each standard instance is paired with an unanswerable variant for reliable assessment.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
11 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.