qwen3.8-2.4t-a95b · Qwen
Qwen3.8-2.4T-A95B is Alibaba’s most powerful Qwen model to date. It is a 2.4‑trillion‑parameter sparse Mixture-of-Experts (MoE) model with approximately 95 billion active parameters. It is built for autonomous, long‑duration tasks: multi‑day code runs, reproducing research papers, and self‑improvement.
Qwen3.8-2.4T-A95B is Alibaba’s most powerful Qwen model to date. It is a 2.4‑trillion‑parameter sparse Mixture-of-Experts (MoE) model with approximately 95 billion active parameters. It is built for autonomous, long‑duration tasks: multi‑day code runs, reproducing research papers, and self‑improvement.
Qwen3.8 2.4t A95B has a 1,000,000 token context window. It supports up to 131,072 output tokens.
On AIHubMix, Qwen3.8 2.4t A95B costs $2 per million input tokens and $6 per million output tokens. Cached input reads are billed at $0.5 per million tokens.
Qwen3.8 2.4t A95B accepts text input.
Qwen3.8 2.4t A95B supports tool calling, function calling, structured outputs, web search, long context and thinking. Per-protocol parameter support is listed in the capability table on this page.
Qwen3.8 2.4t A95B 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 qwen3.8-2.4t-a95b — no other code changes needed.
Qwen3.8 2.4t A95B is developed by Qwen. AIHubMix aggregates it alongside models from other providers behind one API and one bill.
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Use Qwen3.8 2.4t A95B via the AIHubMix unified API — one interface for every major LLM.