Nvidia

NVIDIA: Nemotron 3 Super

nvidia/nemotron-3-super-120b-a12b

NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications.

  • Context window: 262,144 tokens
  • Input: text
  • Output: text
  • Pricing: $0.3/M input tokens, $2.4/M output tokens

Community sentiment

Positive (+60) — 8 positive, 3 negative, 6 neutral across 17 community samples from X and the web, as of 2026-10-24.

Discussion centers on notable throughput and deployment wins for Nemotron 3 Super (doubling token throughput on specific rigs and real-world hospital/enterprise use), while criticisms call out sharp price spikes and being less efficient than newer Nemotron 3.5 variants. Overall tone is cautiously positive, with praise for speed and production readiness balanced by cost and comparative performance

  • “Who builds the fastest AI? Whoever wins at automated research. That’s why top F100 companies like @Nvidia and @HP are coming to @infinity_ai_ . Infinity Autoresearch hit 2x token throughput for Nemotron 3 Super on the HP ZGX Fury (GB300). Here’s how we generate ∞ speed: https://t” — X
  • “Your prompt didn't change a word. Your bill just moved 20x. Per the https://t.co/90p9OBSszk price tracker, GLM 5.2 input sits at $0.03/M tokens — down 95% in a single day, five days after spiking 1,450% to $0.62. Same board: NVIDIA Nemotron 3 Super up 275% to $0.30, GLM 5.1 up 44” — X
  • “5/ One committed real run: Nemotron 3 Super 120B, attempt 0 FAIL, attempt 1 PASS, 2 calls, 5,367 tokens sealed. A second sample in JavaScript shows the checks are language-agnostic.” — X
  • “A 12-hospital healthcare system using Nebius, with no public $NBIS announcement . Baptist Health has over 3.5m patients a year in South Florida. Its digital chief says they’re running AI agents using NVIDIA Nemotron 3 Super, with DGX Spark at the edge and “Nebius cloud at the cor” — X

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