Description
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
Qwen3.8-2.4T-A95B Highlights
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
Getting Started with Qwen3.8-2.4T-A95B
Access model page: Visit Hugging Face Qwen repository
Authenticate: Ensure API key and base URL are configured
Configure: Set sampling parameters for optimal performance
Send prompts: Use text-only input with enabled thinking mode
Fine-tune: Adjust reasoning depth using reasoning_effort
Qwen3.8-2.4T-A95B's Use Cases
- Coding Tasks
- Professional Work
- Research Projects
- Long-Horizon Tasks
- API Integration












