Qwen: Qwen3 VL 235B A22B Instruct
Analysis Summary
Qwen3 VL 235B A22B Instruct is the non-thinking variant of Qwen's large vision-language model, offering text and image input with tool use and function calling at $0.20 input and $0.88 output per million tokens. The 262K context window is useful for long-document workflows, and vision support adds multimodal flexibility.
Benchmark performance is modest: intelligence index at 20.8 and agentic index at 21 place it below mid-tier for reasoning and autonomous task execution. Coding at 16.5 is limited. It is best suited to structured content extraction, image-based data processing, and lightweight instruction-following tasks rather than complex reasoning or agent pipelines.
A -4 regional accessibility adjustment applies. The pricing is competitive for its capability tier, but businesses with access to Google's Flash Lite or similar models will find comparable or better performance with stronger enterprise support.
Assessed June 6, 2026
Editorial notes
Qwen3 VL 235B A22B Instruct from Qwen offers vision, tool use, and a 262K context at low cost, but intelligence and agentic benchmarks are below mid-tier and the regional penalty applies.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How Qwen: Qwen3 VL 235B A22B Instruct compares
Qwen: Qwen3 VL 235B A22B Instruct ranks #168 of 378 AI models we track for overall intelligence, #167 of 315 for coding, #175 of 289 for agentic tasks. Its 262K-token context window is larger than 81% of the models we list. At $0.20 per million input tokens it is cheaper than 53% of comparable models.
About Qwen: Qwen3 VL 235B A22B Instruct
Qwen3-VL-235B-A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understanding across images and video. The Instruct model targets general vision-language use (VQA, document parsing, chart/table..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Qwen: Qwen3 VL 235B A22B Instruct stack up?
Compare side-by-side with other professional models.
Model Information
| OpenRouter ID |
qwen/qwen3-vl-235b-a22b-instruct
|
| Provider | qwen |
| Release Date | September 23, 2025 |
| Context Length | 262,144 tokens |
| Max Completion | 16,384 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.20 | $0.000200 |
| Output | $0.88 | $0.000880 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
Leaderboard Categories
External Resources
Frequently asked questions about Qwen: Qwen3 VL 235B A22B Instruct
How much does Qwen: Qwen3 VL 235B A22B Instruct cost?
Qwen: Qwen3 VL 235B A22B Instruct costs $0.20 per million input tokens and $0.88 per million output tokens.
What is the context window of Qwen: Qwen3 VL 235B A22B Instruct?
Qwen: Qwen3 VL 235B A22B Instruct has a context window of 262,144 tokens (262K).
Is Qwen: Qwen3 VL 235B A22B Instruct good for coding?
On our coding benchmark index, Qwen: Qwen3 VL 235B A22B Instruct ranks #167 of 315 models, placing it in the broader range of the field for code generation and debugging.
What can Qwen: Qwen3 VL 235B A22B Instruct do?
Qwen: Qwen3 VL 235B A22B Instruct supports image/vision input, tool use, and function calling.
Who created Qwen: Qwen3 VL 235B A22B Instruct?
Qwen: Qwen3 VL 235B A22B Instruct is developed by Qwen and was released on September 23, 2025.
