Qwen/Qwen3.6-27B
Qwen3.6-27B is a medium-tier Qwen 3.6 vision-language model for multimodal chat and reasoning workloads across text, image, and video inputs.
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 | 0.6 | Use 0.6 for non-thinking tasks, 1.0 for thinking/reasoning tasks. |
| max_tokens | number | 8192 | Maximum number of tokens to generate. |
| top_p | number | 0.95 | Nucleus sampling parameter. |
| top_k | number | 20 | Limits token sampling to top-k candidates. |
| enable_thinking | boolean | false | Toggle chain-of-thought reasoning mode. Set temperature=1.0 when enabled. |
Explore the full request and response schema in our external API documentation
Performance
Strengths & considerations
| Strengths | Considerations |
|---|---|
| Strong multimodal capability for text, image, and video inputs Balanced latency and quality for production chat workloads Thinking mode support for deeper reasoning Long-context support for complex tasks Open-source model family compatibility Broad multilingual support | Thinking mode increases latency and output verbosity Large multimodal inputs can increase runtime cost May trail larger models on peak benchmark tasks Throughput depends on deployment and hardware profile |
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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