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Alibaba releases open weights for Qwen3.8-2.4T-A95B MoE model

By PulseAugur Editorial · [1 sources] ·

Alibaba has released the open weights for its Qwen3.8-2.4T-A95B model. This Mixture-of-Experts (MoE) model boasts 2.4 trillion total parameters, with 95 billion active parameters. It features hybrid attention mechanisms and is designed for long-context, agentic workloads, with accompanying recipes for SageMaker HyperPod and vLLM. AI

IMPACT This release provides a powerful MoE model with open weights, potentially accelerating research and development in agentic AI and long-context applications.

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

Read on Pandaily →

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

Alibaba releases open weights for Qwen3.8-2.4T-A95B MoE model

How we ranked this

Signal score
55 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Significant
Frontier-lab model release with open weights. [lever_c_demoted from frontier_release: ic=1 ai=1.0]
Source corroboration
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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.
Topics
model release, infra
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. Pandaily TIER_1 English(EN) · [email protected] (Pandaily) ·

    Alibaba Opens Qwen3.8-2.4T-A95B Weights as First Qwen-Max-Class MoE

    Alibaba's Qwen team published open weights for Qwen3.8-2.4T-A95B, a 2.4-trillion-parameter MoE with 95 billion active parameters. Hybrid attention and long context target agentic workloads, with same-period SageMaker HyperPod and vLLM recipes.

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