Interesting model here
35b a3b trained for agentic use
It gets 60.7 on Terminal Bench2 qwen 3.6 27b gets 59.3
Essentially the same
Going to have to try it out
huggingface.co/nex-agi/Nex-N…
Nex-N (35B a3b) is a 35-billion-parameter model fine-tuned for 'agentic' use and…
Brief
Nex-N, a 35B a3b model fine-tuned for agentic workloads, achieved a 60.7 on Terminal Bench2 compared with Qwen 3.6 (27B) at 59.3; the author (@LottoLabs) interprets the results as roughly equivalent and intends to try the Hugging Face release (huggingface.co/nex-agi/Nex-N...) personally.
Why it matters
Nex-N (35B a3b) is a 35-billion-parameter model fine-tuned for 'agentic' use and posted by @LottoLabs on 2026-06-08.
Key details
- On Terminal Bench2 the 35B Nex-N scores 60.7 versus Qwen 3.6 (27B) scoring 59.3, and the author calls their performance 'essentially the same'.
- Author plans to evaluate the model hands-on and links the model repo at huggingface.co/nex-agi/Nex-N...