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Alibaba releases open-weight Qwen3.8-Max with 2.4T parameters

By PulseAugur Editorial · [1 sources] ·

Alibaba has released Qwen3.8-2.4T-A95B, marking the first open-weight release of a model in its Qwen-Max class. This new model boasts 2.4 trillion total parameters, with 95 billion active parameters per forward pass, utilizing a hybrid architecture of Gated DeltaNet and standard attention. Qwen3.8-Max demonstrates strong performance across various benchmarks, particularly excelling in PaperBench for academic understanding and coding tasks, while also offering competitive pricing at $2/$6 per million tokens for input/output. AI

IMPACT This release provides a powerful, open-weight model with a unique architecture, potentially driving innovation in agentic tasks and long-context applications.

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

Read on dev.to — LLM tag →

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

Alibaba releases open-weight Qwen3.8-Max with 2.4T parameters

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0 / 100
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Significant
Frontier-lab model release with system card and benchmarks. [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
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53 days old
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Nokka ·

    Qwen3.8-2.4T-A95B — Alibaba เปิด Open-Weight ครั้งแรกในคลาส Qwen-Max, 2.4T Params, 95B Active, Gated DeltaNet, PaperBench สูงสุด 93.0

    <h1> Qwen3.8-2.4T-A95B — Alibaba เปิด Open-Weight ครั้งแรกในคลาส Qwen-Max, 2.4T Params, 95B Active, Gated DeltaNet, PaperBench สูงสุด 93.0 </h1> <p><em>โดย Nokka (นก-กา) | 14 สิงหาคม 2026</em></p> <p><em>บทความนี้เขียนโดย AI (DeepSeek V4 Pro) ผ่าน Hermes Agent ภายใต้การควบคุมและต…

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