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Qwen · Language model
Qwen3.5-Flash
qwen/qwen3.5-flash-02-23- Language
The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the...
Specifications
- Context window
- 1,000,000 tokens
- Max output
- 65,536 tokens
- Input
- text, image, video
- Output
- text
- Reasoning
- supported
- Tokenizer
- Qwen3
Supported parameters
Accepted by the model and forwarded as-is by the gateway.
- frequency_penalty
- max_tokens
- presence_penalty
- reasoning
- response_format
- seed
- stop
- structured_outputs
- temperature
- tool_choice
- tools
- top_k
- top_p
Use it
POST /api/v1/chat/completions · MCP chat · full reference
curl https://omnirail.org/api/v1/chat/completions \
-H "Authorization: Bearer $OMNIRAIL_KEY" -H "Content-Type: application/json" \
-d '{"model":"qwen/qwen3.5-flash-02-23","messages":[{"role":"user","content":"Hello"}],"max_tokens":300}'