---
id: "qwen/qwen3.5-flash-02-23"
also: ["qwen/qwen3.5-flash-20260224"]
cheapest_list_usd_per_m: "0.065 in, 0.26 out, at alibaba on openrouter"
cheapest_effective_usd_per_m: "0.0639 in, 0.253 out, at alibaba on openrouter"
context: 1000000
max_output: 65536
input: ["text", "image", "video"]
output: ["text"]
released: "2026-02-25"
api: ["/api/v1/chat/completions", "/api/v1/completions", "/api/v1/messages", "/api/v1/responses"]
params: ["frequency_penalty", "include_reasoning", "max_tokens", "presence_penalty", "reasoning", "response_format", "seed", "stop", "structured_outputs", "temperature", "tool_choice", "tools", "top_k", "top_p"]
endpoints: 1
gateways: "openrouter (1)"
no_training: 1
trains: 0
retains_prompts: 1
---
# Qwen: Qwen3.5-Flash

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...