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.

Providers for Qwen3.6 Flash

OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

Performance for Qwen3.6 Flash

Compare different providers across OpenRouter

Effective Pricing for Qwen3.6 Flash

Actual cost per million tokens across providers over the past hour

Apps using Qwen3.6 Flash

Top public apps this month

Recent activity on Qwen3.6 Flash

Total usage per day on OpenRouter

Prompt

266M

Reasoning

36M

Completion

6.19M

Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.

Uptime stats for Qwen3.6 Flash

Uptime stats for Qwen3.6 Flash across all providers

Sample code and API for Qwen3.6 Flash

OpenRouter normalizes requests and responses across providers for you.

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.

In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

Using third-party SDKs

For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.