Qwen/Qwen3-VL-235B-A22B-Thinking
Qwen3-VL-235B-A22B-Thinking is the most powerful vision-language model in the Qwen series. With 235B total parameters (22B active per token) and deep reasoning capabilities in thinking mode, it excels in multimodal STEM/math reasoning, visual agent tasks, GUI automation, spatial perception, long video comprehension, and multilingual OCR across 32 languages.
api_example.sh
Pricing
Pay-per-use, no commitments
Technical Specifications
Model Architecture & Performance
API Reference
Complete parameter documentation
| Parameter | Type | Default | Description |
|---|---|---|---|
| stream | boolean | true | Enable streaming responses for real-time output. |
| temperature | number | 0.7 | Controls randomness in output. |
| max_tokens | number | 4096 | Maximum tokens to generate. |
| top_p | number | 0.9 | Controls nucleus sampling. |
Explore the full request and response schema in our external API documentation
Performance
Strengths & considerations
| Strengths | Considerations |
|---|---|
| Thinking mode for deep reasoning Native 256K context (expandable to 1M) DeepStack multi-level ViT feature fusion Interleaved-MRoPE for video temporal reasoning Rivals Gemini 2.5 Pro on perception benchmarks | Very high GPU memory requirements Slower due to thinking mode overhead Not suitable for real-time low-latency tasks |
Use cases
Recommended applications for this model
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Enterprise
Platform Integration
Docker Support
Official Docker images for containerized deployments
Kubernetes Ready
Production-grade KBS manifests and Helm charts
SDK Libraries
Official SDKs for Python, Javascript, Go, and Java
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