Qwen: Qwen3.6 Flash

qwen/qwen3.6-flash

Released Apr 27, 20261,000,000 context$0.25/M input tokens$1.50/M output tokens

Qwen3.6 Flash is a fast, efficient language model from Alibaba's Qwen 3.6 series. It supports text, image, and video input with a 1M token context window. Tiered pricing kicks in above 256K tokens. Prompt caching is supported, with both explicit cache read and cache creation pricing.

Qwen: Qwen3.6 Flash

qwen/qwen3.6-flash

Released Apr 27, 20261,000,000 context$0.25/M input tokens$1.50/M output tokens

Qwen3.6 Flash is a fast, efficient language model from Alibaba's Qwen 3.6 series. It supports text, image, and video input with a 1M token context window. Tiered pricing kicks in above 256K tokens. Prompt caching is supported, with both explicit cache read and cache creation pricing.

Sample code and API for Qwen3.6 Flash

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OpenRouter supports reasoning-enabled models that can show their step-by-step thinking process. Use the reasoning parameter in your request to enable reasoning, and access the reasoning_details array in the response to see the model's internal reasoning before the final answer. When continuing a conversation, preserve the complete reasoning_details when passing messages back to the model so it can continue reasoning from where it left off. Learn more about reasoning tokens.

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Using third-party SDKs

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