Available now
Alibaba
qwen3.6-27b
Qwen3.6 27B is a dense 27-billion-parameter language model from the Qwen Team at Alibaba, released in April 2026. It features hybrid multimodal capabilities — accepting text, image, and video inputs...
TextReasoningToolsFilesOpen WeightsVisionAudio262.1KVideo
InputFree
OutputFree
Context262.1K
Endpointsopenai
Capabilities
ReasoningToolsVisionVideoStructured
Modalities
Input
textimagevideo
Output
text
Quick stats
Performance
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Supported parameters
| Parameter | Always | Default |
|---|---|---|
| frequency_penalty | - | (do not send) |
| include_reasoning | - | |
| logit_bias | - | - |
| logprobs | - | - |
| max_tokens | - | |
| min_p | - | - |
| presence_penalty | (do not send) | |
| reasoning | - | |
| repetition_penalty | - | (do not send) |
| response_format | - | - |
| seed | - | - |
| stop | - | - |
| structured_outputs | - | - |
| temperature | (do not send) | |
| tool_choice | - | |
| tools | - | |
| top_k | - | (do not send) |
| top_logprobs | - | - |
| top_p | (do not send) |
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Pricing
| Input price | $0.00 · 1M tokens |
| Output price | $0.00 · 1M tokens |
| Context window | 262.1K tokens |
| Compatible endpoints | openai |
| Vendor | Alibaba |
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Call qwen3.6-27b from your code
Point any OpenAI-compatible SDK at UnoRouter and request the model by name. Replace YOUR_API_KEY with a real key from your dashboard.
bash
curl https://api.unorouter.com/v1/chat/completions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen3.6-27b",
"messages": [{"role": "user", "content": "Hello!"}]
}'§ 03
Frequently asked questions
How much does qwen3.6-27b cost per 1M tokens?
Input is priced at $0.00 per 1M tokens, output at $0.00 per 1M tokens. Billing is per token, no rounding to batch sizes.
How do I access qwen3.6-27b via API?
Send requests to the UnoRouter /v1/chat/completions endpoint with model=qwen3.6-27b. Any OpenAI-compatible client library works. Authentication uses a standard Bearer token.
What is the context window of qwen3.6-27b?
qwen3.6-27b supports a context window of 262.1K tokens, shared between your prompt and the model's response.
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