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.