Alibaba Cloud / Qwen Team model product
An experimental research model focusing on advanced visual reasoning and step-by-step cognitive capabilities.
Updated Aug 12, 2026. Default version: QvQ-72B-Preview
Technical details for the model's default version.
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for QvQ-72B-Preview.
| OlympiadBench | 0.2 | 1 | 1 | 100.0% | C | |
| MathVista | 0.7 | 13 | 39 | 68.4% | C | |
| MathVision | 0.4 | 30 | 32 | 6.5% | C | |
| MMMU | 0.7 | 30 | 63 | 53.2% | C |
Preference and agent-evaluation results for the default version.
The default version does not have a matching Arena result yet.
Official vendor API pricing appears first, followed by individual provider offers.
The default version has no current input or output token prices.
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
Available versions of this model. The score column identifies the version used in the overall ranking.
| QvQ-72B-Preview | 14.9 | 73.4B | N/A | N/A | No | Qwen |
Key information about QvQ 72B and its available data.
An experimental research model focusing on advanced visual reasoning and step-by-step cognitive capabilities. Achieves strong performance on multi-modal science and mathematics tasks, though exhibits some limitations such as potential language mixing and recursive reasoning loops.
Data as of 2026-08-11.
Open a comparison with the three ranked models immediately above and below this model.
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Common questions about QvQ 72B.
QvQ 72B's default version was released on Dec 25, 2024.
No official standard PAYG price is currently available for QvQ 72B.
QvQ 72B was created by Alibaba Cloud / Qwen Team.
A context window is not available for the default version.
No. The default version is not marked as having publicly available weights.
No provider offering is currently linked to the default version.
Nearby ranked alternatives include Nova 2 Sonic, DeepSeek-R1-Distill-Qwen, DeepSeek-V2.5.