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Qwen3.8-2.4T-A95B

Qwen3.8-2.4T-A95B is a causal language model designed for complex tasks, offering improved coding, professional work, and research capabilities. It supports extensive context lengths and integrates with popular frameworks for efficient inference.

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Qwen3.8-2.4T-A95B is a cutting-edge causal language model developed by Hugging Face. It is part of the Qwen open-model family, known for its advanced capabilities in coding, professional work, research, and long-horizon agentic tasks. Built on the architectural foundation of Qwen3.5, Qwen3.8 delivers substantial improvements in autonomous planning and environment feedback handling, ensuring reliable end-to-end task completion.

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The model features a total of 2.4 trillion parameters with 95 billion activated, and supports a native context length of 262,144 tokens, extensible up to 1,010,000 tokens. It is compatible with popular inference frameworks such as vLLM, SGLang, and TokenSpeed, making it easy to integrate into existing systems. Qwen3.8 also offers flexible thinking control, allowing users to adjust reasoning depth and preserve historical context.

For users seeking managed, scalable inference without infrastructure maintenance, Qwen Cloud provides an official API service. The model supports reasoning_effort adjustments to balance accuracy and speed, and preserve_thinking is enabled by default for optimal performance. Qwen3.8 is ideal for complex, multi-step tasks and is designed to carry them through to completion with greater reliability.

Benchmark results show Qwen3.8-Max outperforming previous versions and competing models across various coding and general agent tasks. It is recommended to use the latest framework versions for optimal performance and compatibility. Qwen3.8 is a powerful tool for developers and researchers looking to leverage advanced language model capabilities in their projects.

  • CategoryAI Models & LLMs
  • DeploymentCloud
  • PlatformsWeb

  • Causal Language Model

  • 2.4T Parameters

  • 95B Activated Parameters

  • Context Length up to 1,010,000 Tokens

  • Flexible Thinking Control

  • Reasoning Effort Adjustment

  • Preserve Historical Context

  • API Available via Qwen Cloud

  1. Access model page: Visit Hugging Face Qwen repository

  2. Authenticate: Ensure API key and base URL are configured

  3. Configure: Set sampling parameters for optimal performance

  4. Send prompts: Use text-only input with enabled thinking mode

  5. Fine-tune: Adjust reasoning depth using reasoning_effort

  • Coding Tasks
  • Professional Work
  • Research Projects
  • Long-Horizon Tasks
  • API Integration

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