Qwen: Qwen3 VL 32B Instruct
Analysis Summary
Qwen3 VL 32B Instruct is Alibaba's larger vision-language model in the Qwen3 VL family, supporting text and image inputs with tool use and function calling across a 262K context window. Its intelligence index of 17.2 and coding index of 15.6 are modest in absolute terms but represent a meaningful step up from the 8B variants, with stronger math and livecodebench scores.
For businesses, it is suited to document analysis, image-based structured extraction, and content workflows where visual understanding and moderate reasoning are both required. The 262K context window supports long-document use cases. Agentic performance is limited, so it is not well suited to fully autonomous multi-step pipelines.
At $0.104 input and $0.416 output per million tokens, it is competitively priced for a multimodal model with this context capacity. Teams needing a cost-effective vision-capable model for structured content and analysis tasks will find it a practical choice, though those requiring stronger reasoning should consider larger alternatives.
Assessed June 6, 2026
Editorial notes
Qwen3 VL 32B Instruct is a capable mid-size vision-language model with tool use, function calling, and a 262K context window, offering stronger coding and agentic performance than the 8B variants at a competitive price.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How Qwen: Qwen3 VL 32B Instruct compares
Qwen: Qwen3 VL 32B Instruct ranks #202 of 378 AI models we track for overall intelligence, #174 of 315 for coding, #187 of 289 for agentic tasks. Its 262K-token context window is larger than 81% of the models we list. At $0.10 per million input tokens it is cheaper than 62% of comparable models.
About Qwen: Qwen3 VL 32B Instruct
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 professional 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, refreshed every 30 minutes.
Leaderboard Categories
External Resources
Frequently asked questions about Qwen: Qwen3 VL 32B Instruct
How much does Qwen: Qwen3 VL 32B Instruct cost?
Qwen: Qwen3 VL 32B Instruct costs $0.10 per million input tokens and $0.42 per million output tokens.
What is the context window of Qwen: Qwen3 VL 32B Instruct?
Qwen: Qwen3 VL 32B Instruct has a context window of 262,144 tokens (262K).
Is Qwen: Qwen3 VL 32B Instruct good for coding?
On our coding benchmark index, Qwen: Qwen3 VL 32B Instruct ranks #174 of 315 models, placing it in the broader range of the field for code generation and debugging.
What can Qwen: Qwen3 VL 32B Instruct do?
Qwen: Qwen3 VL 32B Instruct supports image/vision input, tool use, and function calling.
Who created Qwen: Qwen3 VL 32B Instruct?
Qwen: Qwen3 VL 32B Instruct is developed by Qwen and was released on October 23, 2025.
