Qwen3.8 27B

Qwen· released 14 Aug 2026

qwen/qwen3.8-27b
Input / 1M tokens
$0.42
Output / 1M tokens
$3
Context window1M tokens

Longest answer: 131K tokens

reads textreads imagereads videoopen weightstool callingvisionreasoning

About

Qwen3.8 27B is Qwen’s open-weight dense vision-language model for coding, professional workflows, research, multimodal interaction, and long-running agent tasks. It accepts text, image, and video inputs and produces text. Reasoning and tools are supported, with a context window of 1,000,000 tokens and a maximum output of 131,072 tokens. The model was released on 2026-08-14. Its input price is 0.42 USD per 1M tokens and its output price is 3 USD per 1M tokens. For builders, the combination of vision and video input, tool support, and a million-token context window defines the model’s integration profile. Open weights and the listed Hugging Face identifier, Qwen/Qwen3.8-27B, provide further details for teams evaluating the model for their stack.

Who it is for

It suits teams building coding, research, professional, or agent workflows that need text, image, or video input. It is also relevant where open weights and tool use matter.

What is good

  • Open weights are available.
  • Accepts text, image, and video inputs.
  • Supports tools and reasoning.
  • Context window is 1,000,000 tokens.
  • Maximum output is 131,072 tokens.

What to know first

  • Input costs 0.42 USD per 1M tokens.
  • Output costs 3 USD per 1M tokens.

Verdict

Qwen3.8 27B combines multimodal inputs, tool support, and a large context window for demanding workflows. Teams should weigh those capabilities against its separate input and output token prices.

Details

Lab
Qwenopenrouter.ai · 3 Oct 2026
Context
1,000Kopenrouter.ai · 3 Oct 2026
Input price
$0.42 / 1Mopenrouter.ai · 3 Oct 2026
Output price
$3 / 1Mopenrouter.ai · 3 Oct 2026
Max output
131,072 tokensopenrouter.ai · 3 Oct 2026
Inputs
text, image, videoopenrouter.ai · 3 Oct 2026
Open weights
Yesopenrouter.ai · 3 Oct 2026

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