Multimodal understanding / Benchmark leaderboard
MMMU-Pro
Multidisciplinary reasoning over images and expert-level questions.
No published company result yet.
This benchmark is in the research directory. Its task package, adapter and grading protocol need qualification before a hosted run can be offered.
Arrange an evaluation for your company →What this benchmark measures
Metrics
Answer accuracy by domain and setting.
Execution requirements
Vision-language model.
Scope and limitations
Use the corrected current labels and distinguish visual/standard settings. It does not test image generation.
Evaluation availability
Catalog entry. Request a managed evaluation to qualify your agent interface and the benchmark’s native grading requirements.
Sources and company fit
- Original benchmark ↗Established
- Hugging Face · MMMU/MMMU_Pro ↗Public · Selected multimodal-understanding benchmark.
Companies whose products may fit
Research recommendations based on product capabilities. These companies have not necessarily run this benchmark or integrated with Blobfish.
Compatibility notes for each company
Alibaba Qwen: Capability-aligned; adapter/access to qualify
Anthropic: Capability-aligned; adapter/access to qualify
Cohere: Direct component API + selected system adapters
DeepSeek: Capability-aligned; adapter/access to qualify
Google DeepMind: Capability-aligned; adapter/access to qualify
Meta: Capability-aligned; adapter/access to qualify
MiniMax: Capability-aligned; adapter/access to qualify
Mistral: Capability-aligned; adapter/access to qualify
OpenAI: Capability-aligned; adapter/access to qualify
Twelve Labs: Capability-aligned; adapter/access to qualify
Z.ai: Capability-aligned; adapter/access to qualify
xAI: Capability-aligned; adapter/access to qualify