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Alibaba's Qwen releases 2.4T parameter model for agentic tasks

Alibaba's Qwen team has released Qwen3.8-2.4T-A95B, a large language model with 2.4 trillion parameters and 95 billion active parameters. This model is designed for agentic tasks, capable of coding, researching, planning, and executing to achieve goals. The release emphasizes day-zero availability on inference platforms like SiliconFlow, highlighting the subsequent competition in cost, latency, and reliability for agent workloads. AI

IMPACT This release introduces a large-scale model optimized for agentic capabilities, potentially accelerating the development and deployment of AI agents capable of complex task execution.

RANK_REASON Frontier-lab model release with system card. [lever_c_demoted from frontier_release: ic=1 ai=1.0]

Read on X — Qwen (Alibaba) →

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Alibaba's Qwen releases 2.4T parameter model for agentic tasks

COVERAGE [1]

  1. X — Qwen (Alibaba) TIER_1 English(EN) · Alibaba_Qwen ·

    From idea to implementation in one go.🏃‍♀️ Max-level intelligence, served fresh on Day 0.

    From idea to implementation in one go.🏃‍♀️ Max-level intelligence, served fresh on Day 0. Qwen3.8-2.4T-A95B is live on SiliconFlow. Thanks! @SiliconFlowAI