Nemotron 3.5 Super finishes 4x more enterprise agent jobs using 123x fewer tokens per task
ryanshrout · x · 2026-10-16
NVIDIA released open-weight Nemotron 3.5 this morning, and Signal65 published the first independent agentic results on its PINNACLE leaderboard.
Key points:
- Nemotron 3.5 Super completes 4x the share of enterprise jobs vs. its predecessor, using 123x fewer tokens per correct task
- It lands within 7% of the Gemma-4-31B baseline — a real step for the 120B open-weight class
- The remaining gap sits in 3 of 7 benchmark tasks; NVIDIA's model team is already working with Signal65 on updates
More from Models
- Analyst: in a year, models 2-3x better across the board at 10x lower cost, token use up 10-20x — DeryaTR_ · 2026-10-16
- Google revamps Gemma docs, site teases Gemma 4 open models — rseroter · 2026-10-16
- Respan's Span-02 brings anytime reasoning: interrupt it mid-thought and still get the best answer — techNmak · 2026-10-16
- Liquid AI ships d1-ultra decision model, tops Decision Index at 65 across 112 evals — maximelabonne · 2026-10-16
- Meta releases Muse Spark Open: 816B/42B active, 1M context, most capable US open-weight model — AIatMeta · 2026-10-16
- Scale AI's open muse spark model hits seven API platforms, runs on vLLM, SGLang, MLX — alexandr_wang · 2026-10-16