Benchmark profile
MStar
A general visual question-answering benchmark used in provider tables for real-image reasoning quality.
Data verifiedBenchmark score on MStar — July 29, 2026
BenchLM mirrors the published score view for MStar. Qwen3.6-27B leads the public snapshot at 81.4%. BenchLM does not use these results to rank models overall.
Benchmark score table (1 model)
ScoreAbout MStar
Year
2026
Tasks
Real-image visual QA
Format
Image-grounded QA
Difficulty
General visual reasoning
MStar sits between broad multimodal reasoning and grounded VQA. It is useful for checking whether a model can answer real-image questions without the stronger domain structure of office or academic benchmarks.
BenchLM freshness & provenance
Version
MStar 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
FAQ
What does MStar measure?
A general visual question-answering benchmark used in provider tables for real-image reasoning quality.
Which model scores highest on MStar?
Qwen3.6-27B by Alibaba currently leads with a score of 81.4% on MStar.
How many models are evaluated on MStar?
1 AI models have been evaluated on MStar on BenchLM.
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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