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

By PulseAugur Editorial · [1 sources] ·

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) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

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

How we ranked this

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0 / 100
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Significant
Frontier-lab model release with system card. [lever_c_demoted from frontier_release: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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model release, product
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High
Clearly on-topic for AI-industry coverage.
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70 days old
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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

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