AI benchmarks and leaderboards are different things
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OpenCompass Hub
MMT-Bench
MMT-Bench is designed to assess LVLMs across massive multimodal tasks requiring expert knowledge and deliberate visual recognition, localization, reasoning, and planning. It comprises 31,325 multi-choice visual questions, covering 32 core meta-tasks and 162 subtasks in multimodal understanding.
Evaluation context and evidence
- Source
- OpenCompass Hub
- Publisher
- Shanghai AI Laboratory
- Benchmark release
- 2024-04-24
- Collected
- 2026-08-18
- Modality
- multimodal
These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.
Original sources
Reported results 0
This source record has no numeric results in our collection. That does not mean a score of zero or that no public results exist. Consult the original resources above.