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Qwen: Qwen3.6 27B

qwen/qwen3.6-27b

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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 — and supports a 262,144-token context window.

The model is designed for agentic coding and reasoning tasks, with particular strength in repository-level code comprehension, front-end development workflows, and multi-step problem solving. It includes a built-in thinking mode for extended reasoning and preserves thinking context across conversation history. Qwen3.6 27B supports 201 languages and dialects and is released under the Apache 2.0 license.

Modalities

In / Out Price

$0.30 / $2per 1M

Context

262K

Released

Apr 27, 2026

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About Qwen: Qwen3.6 27B

OpenRouter makes Qwen: Qwen3.6 27B available through a unified, OpenAI-compatible API using the model ID qwen/qwen3.6-27b. Requests can be routed across 7 providers, including Chutes, SiliconFlow, Phala, DeepInfra, Venice, Alibaba Cloud Int. and CoreWeave, with automatic failover when an endpoint is unavailable.

Qwen: Qwen3.6 27B accepts text, images and video and returns text. It has a 262,144-token context window and a maximum output of 65,536 tokens.

On OpenRouter, Qwen: Qwen3.6 27B costs $0.30/M input tokens and $2.00/M output tokens, with separate rates for Cache Read at $0.03/M tokens. Effective pricing can be lower when prompt caching applies. It was released on April 27, 2026.

More models from Qwen

  • Qwen3.8 27B
  • Qwen3 Reranker 8B
  • Qwen3 ASR 1.7B

Frequently asked questions

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 — and supports a 262,144-token context window.

Qwen3.6 27B costs $0.30/M input tokens and $2.00/M output tokens, with separate rates for Cache Read at $0.03/M tokens.

Qwen3.6 27B has a 262,144 token context window. It supports up to 65,536 completion tokens.

Yes. Qwen3.6 27B accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

Qwen3.6 27B accepts text, images and video as input and returns text.

Qwen3.6 27B is served by 7 providers on OpenRouter: Chutes, SiliconFlow, Phala, DeepInfra, Venice, Alibaba Cloud Int. and CoreWeave. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.

Qwen3.6 27B was released on April 27, 2026.