qwen3-max-2026-01-23 · Qwen
The snapshot version of the Tongyi Qianwen 3 series Max model is from January 23, 2026. By default, it does not require thinking, but thinking mode can be enabled through the enable_thinking parameter, as detailed in the code example. (After enabling thinking by passing parameters, it becomes: Qwen3-Max-Thinking). This model has a total parameter count exceeding one trillion (1T) and a pre-training data volume of up to 36T Tokens, making it the largest and most powerful reasoning model from Alibaba to date.
The snapshot version of the Tongyi Qianwen 3 series Max model is from January 23, 2026. By default, it does not require thinking, but thinking mode can be enabled through the enable_thinking parameter, as detailed in the code example. (After enabling thinking by passing parameters, it becomes: Qwen3-Max-Thinking). This model has a total parameter count exceeding one trillion (1T) and a pre-training data volume of up to 36T Tokens, making it the largest and most powerful reasoning model from Alibaba to date.
Qwen3 Max 2026 01-23 has a 252,000 token context window.
On AIHubMix, Qwen3 Max 2026 01-23 costs $0.451 per million input tokens and $1.803 per million output tokens. Cached input reads are billed at $0.09 per million tokens.
Qwen3 Max 2026 01-23 accepts text input.
Qwen3 Max 2026 01-23 supports thinking, function calling and structured outputs. Per-protocol parameter support is listed in the capability table on this page.
Qwen3 Max 2026 01-23 is available through the AIHubMix unified API. The API is OpenAI-compatible: point your OpenAI SDK at https://aihubmix.com/v1, use your AIHubMix API key, and set the model name to qwen3-max-2026-01-23 — no other code changes needed.
Qwen3 Max 2026 01-23 is developed by Qwen. AIHubMix aggregates it alongside models from other providers behind one API and one bill.
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Use Qwen3 Max 2026 01-23 via the AIHubMix unified API — one interface for every major LLM.