Qwen3.8-2.4T-A95B

Back to Devoured - August 13, 2026

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Qwen3.8-2.4T-A95B

Qwen3.8-2.4T-A95B introduces a modular reasoning depth feature, allowing users to tune performance for complex coding and long-horizon agentic tasks.

What: This 2.4-trillion parameter model builds on Qwen3.5 architecture and integrates with deployment frameworks like SGLang and vLLM. It features a configurable 'reasoning_effort' parameter.

Decoder

Reasoning depth: A feature in some LLMs that allows the model to perform more 'internal thinking' or chain-of-thought processing before providing a final answer, typically trading latency for accuracy.

Original article

Qwen3.8, based on Qwen3.5's architecture, introduces advanced capabilities in coding and long-horizon tasks with improved agent execution for reliable task completion. It supports various deployment frameworks like SGLang and vLLM, offering robust integration with popular tools. The model's reasoning depth adjusts through reasoning_effort settings, enhancing performance in complex tasks.

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