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July 8, 20265 min

Qwen with a 262K window: from Qwen3 Max to Qwen3.8 27B

The top Qwen with a 262K-token window, function calling, and confident Russian: a middle ground between regular chat and a million-token context, and what replaced it.

Yenisei team


Qwen with a 262K window: from Qwen3 Max to Qwen3.8 27B

Qwen3 Max was the top Qwen with a 262K-token context. In the Yenisei catalog its place has been taken by Qwen3.8 27B (qwen3.8-27b), with the same window, reasoning, and images as input. It is a convenient middle ground: more than regular chat models offer, but without the weight and cost of a million-token window.

Specifications

  • 262K-token context: large documents, long conversations, several files at once.
  • Tools: full function calling for agents and integrations.
  • Reasoning and images: Qwen3.8 27B has both.
  • High-quality Russian: clean, without anglicisms.

Where 262K is enough

Most long-context tasks don't need a million tokens. Going through technical documentation, analyzing a quarterly report, working with several related code files: all of this fits into 262K with room to spare. And a window of this size is processed faster and cheaper than a million-token one.

curl https://api.yenisei.ru/v1/chat/completions \
-H "Authorization: Bearer $YENISEI_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen3.8-27b",
"messages": [
{"role": "user", "content": "Here is the entire API documentation. Put together a short guide to authentication."}
]
}'

How to choose between 262K and a million

A simple rule: if your material fits into 262K, use Qwen3.8 27B; it will be faster and cheaper. If you regularly hit the ceiling and really need to put in a whole book or an entire repository, then go for Qwen3.8 Flash (qwen-flash) or Qwen3.8 2.4T (qwen3.8-2.4t) with their million tokens. There is no point paying for a million-token window while using a tenth of it.