Qwen/Qwen3-VL-30B-A3B-Instruct
Qwen3-VL-30B-A3-Instruct is a large-scale, high-capacity vision-language instruction model designed for advanced multimodal reasoning. It delivers significantly stronger visual understanding, OCR accuracy, document reasoning, long-context comprehension, and agent-style interactions compared to smaller Qwen-VL variants.
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 |
| top_k | number | 50 | Limits sampling to top-k tokens |
| presence_penalty | number | 0 | Discourages repeated tokens |
Explore the full request and response schema in our external API documentation
Performance
Strengths & considerations
| Strengths | Considerations |
|---|---|
| State-of-the-art vision-language reasoning Excellent multilingual OCR & document parsing Very long context support Strong instruction following & agent workflows Streaming-friendly inference | High GPU memory requirements Lower throughput compared to smaller models No image generation (vision understanding only) |
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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