Qwen/Qwen3-VL-235B-A22B-Instruct
The Qwen3 series VL models has been comprehensively upgraded in areas such as visual coding and spatial perception. Its visual perception and recognition capabilities have significantly improved, supporting the understanding of ultra-long videos, and its OCR functionality has undergone a major enhancement.
api_example.sh
Technical Specifications
Model Architecture & Performance
Pricing
Pay-per-use, no commitments
API Reference
Complete parameter documentation
| Parameter | Type | Default | Description |
|---|---|---|---|
| stream | boolean | true | Enable streaming responses for real-time output. |
| temperature | number | 0.7 | Controls creativity and randomness. Higher values produce more diverse output. |
| max_tokens | number | 8962 | Maximum number of tokens the model can generate. |
| top_p | number | 1 | Controls nucleus sampling for more predictable output. |
| reasoning_effort | select | medium | Adjusts the depth of reasoning and problem-solving effort. Higher settings yield more thorough responses at the cost of latency. |
Performance
Strengths & considerations
| Strengths | Considerations |
|---|---|
| State-of-the-art multimodal quality | Expensive and slower |
Use cases
Recommended applications for this model
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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