Nex-N2.6 open-sourced: 321B parameters, fewer reasoning loops
11/11/2026 — 11/11, 22:16·1 sources (all)·1 reports (all)
Key takeaways
- Nex-N2.6 released FP8 weights for a roughly 321B-parameter model built on GLM-5.3-Flash. The update targets runaway reasoning loops and call…
- the team says repetition in internal failure-replay tests fell from 16% with N2.5-Pro to 1.6%. Reasoning defaults to its highest setting, wh…
Background & analysis
On November 11, 2026 at 21:18 UTC, a post on Reddit's LocalLLaMA subreddit reported that Nex-N2.6 has released public FP8 weights. The model is roughly 321B parameters and is based on GLM-5.3-Flash.
What the poster flagged as notable is the release's stated focus on reasoning loops and on calls to tools that do not exist in the current environment. Citing the team's own reporting, repetition in an internal failure-replay test dropped from 16% to 1.6% compared with N2.5-Pro. The poster also cautioned that reasoning defaults to max in this version, so that setting needs to be kept in mind before comparing token usage against other models.
Weights and setup instructions are said to be available on Hugging Face, though the link in the post is truncated. As of this writing, the 321B parameter count and the 16% to 1.6% repetition figures come from this community post and the team's self-reported numbers, and no independent verification has been published.
AI-generated from 1 reports · updated 2 days ago
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Reports on this story headlines open the original
Nex-N2.6 has released FP8 weights at roughly 321B parameters, built on GLM-5.3-Flash. The update targets reasoning loops and calls to tools that don't exist in the environment; the team reports repetition falling from 16% to 1.6% versus N2.5-Pro in an internal failure-replay test. Reasoning defaults to max, which matters when comparing token usage.
Reddit · LocalLLaMAAI score 56
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