Qwen: Qwen3 VL 32B Instruct
Analysis Summary
Qwen: Qwen3 VL 32B Instruct sits in the Efficient tier on our leaderboard, ranked #149 of 557 published models on overall intelligence. At $0.104 input and $0.416 output per 1M tokens, it is among the most expensive on the market. It offers a generous context window for extended reasoning and code review and supports tool use, function calling, vision, and reasoning.
Editorial notes
Qwen3 VL 32B Instruct combines vision, tool use, function calling, and a 262K context with the strongest coding index in the Qwen3 VL family at competitive pricing; intelligence index remains limited.
Assessed May 17, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
Qwen3-VL-32B-Instruct is a large-scale multimodal vision-language model designed for high-precision understanding and reasoning across text, images, and video. With 32 billion parameters, it combines deep visual perception with advanced text..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Qwen: Qwen3 VL 32B Instruct stack up?
Compare side-by-side with other efficient models.
Model Information
| OpenRouter ID |
qwen/qwen3-vl-32b-instruct
|
| Provider | qwen |
| Release Date | October 23, 2025 |
| Context Length | 262,144 tokens |
| Max Completion | 32,768 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.10 | $0.000104 |
| Output | $0.42 | $0.000416 |
Live Performance
Live endpoint metrics ā refreshed every 30 minutes.
