Qwen: Qwen2.5 VL 72B Instruct
Review
Qwen 2.5 VL 72B is a vision-capable model with a reasonable price, but the absence of benchmark data and regional accessibility considerations limit its suitability for Western business use.
Assessment date: April 4, 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
Performance Profile
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 |
How does Qwen: Qwen2.5 VL 72B Instruct stack up?
Compare side-by-side with other legacy models.
Model Information
| OpenRouter ID |
qwen/qwen2.5-vl-72b-instruct
|
| Provider | qwen |
| Release Date | February 1, 2025 |
| Context Length | 32,768 tokens |
| Max Completion | 32,768 tokens |
| Status | Active |
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
Explore Related Models
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: April 14, 2026 8:52 pm