Qwen: Qwen2.5 VL 72B Instruct
Qwen2.5 VL 72B Instruct offers vision capabilities but has no benchmark data in this listing and a limited 32K context window. Without performance evidence, it's difficult to recommend for business-critical applications.
Assessment date: March 12, 2026
Our methodology takes into account a range of factors including pricing, functionality, capabilities, benchmark performance, and real-world applicability. Rankings are reviewed and updated regularly as new models are released. Issues with our rankings? Contact us
Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. It is also highly capable of analyzing texts, charts, icons, graphics, and layouts within images.
Capabilities
Architecture
| Modality | Text + Image → Text |
| Tokenizer | Qwen |
| Parameters | 72B |
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.80 | $0.000800 |
| Output | $0.80 | $0.000800 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
External Resources
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: March 13, 2026 7:52 pm