NVIDIA Nemotron 3 Nano 30B A3B is a small language MoE model with highest compute efficiency and accuracy for developers to build specialized agentic AI systems.
- Context window: 262,144 tokens
- Input: text
- Output: text
- Pricing: $0.05/M input tokens, $0.2/M output tokens
Community sentiment
Positive (+62) — 3 positive, 1 negative, 1 neutral across 5 community samples from X and the web, as of 2026-10-02.
Users praise Nemotron 3 Nano 30B A3B for very high first-attempt answer quality (reported 99.4% usable outputs) and strong comparative accuracy versus alternatives; complaints focus on inference speed and resource trade-offs (low tokens/sec and GPU utilization). Overall commentary is factual and mixed, noting excellent accuracy but tangible performance/cost tradeoffs for local deployment.
- “NVIDIA Nemotron-3 Nano 30B-A3B returns a clean answer on 99.4% of its 131,943 attempts—first try, no retry needed. At this rate, first-attempt success is the metric that matters most.” — X
- “CAVEAT: >95% first-time usable answers with no repair or retry are achievable, but not universal. DeepSeek V4 Flash answered on just 87.5% of 99 attempts, below the bar that NVIDIA Nemotron-3 Nano 30B-A3B cleared at 99.4% of 131,943 attempts.” — X
- “RTX 5090 & RTX 5070 Ti not well thought out : r/LocalLLaMA - Reddit — 14 hours ago · nemotron 3 nano 30b a3b; the speed trade off was not worth the accuracy increase. my 5070ti is completely idle. Going from 32gb to 48gb did not have the impact ...” — the web
- “NVIDIA Models & Pricing | AIMLAPI — 3 days ago · Nemotron 3 Nano 30B A3BNVIDIA A sparse mixture-of-experts language model that activates just 3B parameters per token while drawing on 30B of learned knowledge,” — the web
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