Nemotron 3 Nano

Released
2026-03-16
Last refreshed
2026-10-26
Status
Researched 6d ago
Open weightsCommercial use: permittedRAGAgentsLong contextJSON / Tool use

Nemotron 3 Nano is a released rag, agents, and long context model with open-weight and 256K context; evaluate it while provider pricing coverage matures.

NVIDIA AI releases · 27 in the last 12 months · this family litChangelog →
Specifications
Released
2026-03-16
Context
256K
Parameters
3.97B
Architecture
Mixture of Experts
Specialization
general
Openness
Open weights
License
NVIDIA Open ModelPermitted
Weights
Available
Code
Unknown
Training
Pretrained
Created by

Accelerated AI for enterprise solutions

Santa Clara, California, United States
Founded 2015
Website
Pricing

No tracked provider pricing is available yet.

About

NVIDIA's lightweight 3.97B parameter model optimized for edge deployment with FP8 quantization (W8A8 mixed precision). Designed for agentic AI applications including gaming NPCs, local voice assistants, and IoT automation. Supports instruction following, tool use, and hallucination avoidance. Strong performance on BFCL, IFBench, IFEval, HaluEval, RULER, Tau2, AIME25, MATH500, GPQA-D, and LiveCodeBench.

Providers

No active provider routes are tracked for this model yet.

Capabilities

JSON / Tool use

Benchmark peer barsfor RAG

Benchmark scores(1)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionEvaluationSource
91.0RULER (128K) (accuracy)Observed 2026-10-26—

Migration checks

No linked migration route is available for this model yet.

Rankings & picks(1)