Qwen3.8 2.4T A95B

Qwen3.8 2.4T A95B was released August 3, 2026 as the open-weight version of Alibaba Cloud's Qwen 3.8 flagship, following the hosted Qwen3.8 Max endpoint that opened earlier the same month.

The architecture is a mixture-of-experts design with 2.4 trillion total parameters and 95 billion active per forward pass, spread across 512 routed experts and 92 layers. What distinguishes it is the attention stack: 69 of those 92 layers use linear attention, with full attention layers interleaved at intervals. In the linear layers a growing KV cache is replaced by a bounded recurrent state, which is what makes long context practical to serve rather than merely supported on paper.

The context window is 262.1K tokens, with up to 131.1K tokens per response. On benchmarks, Qwen3.8 2.4T A95B reaches 86.6 on Terminal Bench 2.1 and leads at 93.0 on PaperBench, while DeepSWE 1.1 at 56.6 and FrontierSWE at 73.5 sit lower relative to the field.

Running the full weights takes serious hardware, at roughly 4.89 TB. Quantized checkpoints bring that down substantially, with 4-bit builds available for both NVIDIA and AMD nodes. Through AI Gateway you skip that entirely and call the model over an API.

You can integrate Qwen3.8 2.4T A95B through AI SDK, Chat Completions API, Responses API, Messages API, or other API formats, from TypeScript or Python.