Nex-AGI: Six Agentic Models, One of Which Fits Your GPU

Written by Jakub Rusinowski · Published September 8, 2026

Nex-AGI doesn't pretrain models — it post-trains other labs' open weights for agentic work, and six of the results are now in the library. Built on Qwen3.5 and DeepSeek bases, they run from 35B to 1.6 trillion parameters. Here's what each one is, where its numbers come from, and why exactly one of the six will load on a card you can buy.

• Who Nex-AGI is
• They don't pretrain. They post-train.
• Three generations in about a year
• What they cost to hold
• The one that fits
• The 671B model has a cheaper context than the 35B one
• Vision as an action interface
• What we are less sure about

Six models from Nex-AGI just landed in the model library. They are worth a closer look than the usual launch-week entry, because the lab behind them is doing something structurally different from most of the names in that catalogue — and because exactly one of the six will ever load on a card you can buy. Here is what they are, where the numbers come from, and what it actually takes to hold each one. Not a startup in the usual sense. Nex-AGI describes itself as "an innovation alliance initiated by the Shanghai Innovation Institute" — a consortium rather than a company, publishing from `nex.sii…

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