ModelScope(@ModelScope2022):Qwen's biggest open-weight drop yet. 🚀 Meet Qwen3.8-Max: 2.4T params, 95B active, built to take a goal and come back with finished work. https://t.co/b89XPhZwEd ⚡ 1M context. Adjustable reasoning. Parallel tool calls. 💻 Coded unattended for 10+ days, building a self-evolving harness from scratch 🔬 Reproduced a research paper, then ran a 125-hour autonomous loop and beat it 🔧 Took a chip design from RTL to layout, cutting die area by 81%

ModelScope

@ModelScope2022

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ModelScope@ModelScope2022

2026.08.12 15:09

Qwen's biggest open-weight drop yet. 🚀 Meet Qwen3.8-Max: 2.4T params, 95B active, built to take a goal and come back with finished work. ⚡ 1M context. Adjustable reasoning. Parallel tool calls. 💻 Coded unattended for 10+ days, building a self-evolving harness from scratch 🔬 Reproduced a research paper, then ran a 125-hour autonomous loop and beat it 🔧 Took a chip design from RTL to layout, cutting die area by 81%