MMVet
MM-Vet is an evaluation benchmark that examines large multimodal models on complicated multimodal tasks requiring integrated capabilities. It assesses six core vision-language capabilities: recognition, knowledge, spatial awareness, language generation, OCR, and math through questions that require one or more of these capabilities.
2rows
scoreprimary metric
2026-05-06sampled
Metadata
Metrics
Score, Normalized Score
| Rank | Subject | Score | Model Match | Provenance | Sampled |
|---|---|---|---|---|---|
| 1 | Qwen2.5 VL 72B Instruct | 0.76 |  Qwen2.5 VL 72B Instruct qwen-qwen2.5-vl-72b-instruct | Self-reported | 2026-05-06 |
| 2 | Qwen2.5 VL 7B Instruct | 0.67 | — | Self-reported | 2026-05-06 |
No matching rows.