Qwen: Qwen3 VL 235B A22B Thinking
Analysis Summary
Qwen3 VL 235B A22B Thinking is the reasoning-augmented variant of Alibaba's large vision-language model, with an intelligence index of 27.6 and a math index of 88.3. Vision, tool use, and function calling are supported. LiveCodeBench at 0.646 and GPQA at 0.772 show solid performance across technical domains, though the coding index of 20.9 is limited.
For businesses, this model suits multimodal reasoning tasks where extended thinking improves output quality: complex document analysis, image-grounded reasoning, and structured content generation. The 131K context window is adequate for most workflows. Pricing at $0.26 input / $2.60 output is reasonable for a thinking model with vision capability.
A -4 point regional accessibility adjustment applies. Teams comfortable with Alibaba Cloud infrastructure will find this a capable multimodal reasoning option; others should compare against Google Gemini Flash variants, which offer similar modality breadth with stronger enterprise support.
Assessed June 30, 2026
Editorial notes
Qwen3 VL 235B A22B Thinking from Alibaba adds extended reasoning to the VL family, with vision, tool use, and a 131K context, posting an intelligence index of 27.6 and strong math scores.
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 Thinking compares
Qwen: Qwen3 VL 235B A22B Thinking ranks #90 of 385 AI models we track for overall intelligence, #85 of 139 for coding, #138 of 293 for agentic tasks. Its 131K-token context window is larger than 59% of the models we list. At $0.26 per million input tokens it is cheaper than 46% of comparable models.
About Qwen: Qwen3 VL 235B A22B Thinking
Qwen3-VL-235B-A22B Thinking is a multimodal model that unifies strong text generation with visual understanding across images and video. The Thinking model is optimized for multimodal reasoning in STEM and math..
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 Thinking stack up?
Compare side-by-side with other professional models.
Model Information
| OpenRouter ID |
qwen/qwen3-vl-235b-a22b-thinking
|
| Provider | qwen |
| Release Date | September 23, 2025 |
| Context Length | 131,072 tokens |
| Max Completion | 32,768 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.26 | $0.000260 |
| Output | $2.60 | $0.002600 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
Leaderboard Categories
External Resources
Frequently asked questions about Qwen: Qwen3 VL 235B A22B Thinking
How much does Qwen: Qwen3 VL 235B A22B Thinking cost?
Qwen: Qwen3 VL 235B A22B Thinking costs $0.26 per million input tokens and $2.60 per million output tokens.
What is the context window of Qwen: Qwen3 VL 235B A22B Thinking?
Qwen: Qwen3 VL 235B A22B Thinking has a context window of 131,072 tokens (131K).
Is Qwen: Qwen3 VL 235B A22B Thinking good for coding?
On our coding benchmark index, Qwen: Qwen3 VL 235B A22B Thinking ranks #85 of 139 models, placing it in the broader range of the field for code generation and debugging.
What can Qwen: Qwen3 VL 235B A22B Thinking do?
Qwen: Qwen3 VL 235B A22B Thinking supports image/vision input, tool use, and function calling.
Who created Qwen: Qwen3 VL 235B A22B Thinking?
Qwen: Qwen3 VL 235B A22B Thinking is developed by Qwen and was released on September 23, 2025.
