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Nemotron 3 Nano (30B A3B)

NVIDIA

Nemotron-3 Nano 30B-A3B is a compact Mixture-of-Experts model by NVIDIA with 30 billion total parameters and 3 billion active parameters. Optimized for edge deployment and resource-constrained environments, it delivers strong performance in reasoning and coding relative to its active parameter count.

Key Specifications

Parameters
32.0B
Context
262.1K
Release Date
December 14, 2025
Average Score
54.3%

Timeline

Key dates in the model's history
Announcement
December 14, 2025
Last Update
February 6, 2026
Today
October 5, 2026

Technical Specifications

Parameters
32.0B
Training Tokens
25.0T tokens
Knowledge Cutoff
November 1, 2025
Family
-
Capabilities
MultimodalZeroEval

Pricing & Availability

Input (per 1M tokens)
$0.05
Output (per 1M tokens)
$0.20
Max Input Tokens
262.1K
Max Output Tokens
262.1K
Supported Features
Function CallingStructured OutputCode ExecutionWeb SearchBatch InferenceFine-tuning

Benchmark Results

Model performance metrics across various tests and benchmarks

Programming

Programming skills tests
SWE-Bench Verified
Standard • Self-reported
38.8%

Reasoning

Logical reasoning and analysis
GPQA
With tools • Self-reported
75.0%

Other Tests

Specialized benchmarks
AIME 2025
With tools • Self-reported
99.0%
WMT24++
en->xx • Self-reported
86.0%
MMLU-Pro
Standard • Self-reported
78.0%
LiveCodeBench v6
v6 2025-08–2025-05 • Self-reported
68.0%
Arena-Hard v2
Standard evaluation • Self-reported
68.0%
Humanity's Last Exam
Standard • Self-reported
15.5%
MMLU-ProX
Average over languages • Self-reported
59.5%
Multi-Challenge
• Self-reported
38.5%
SciCode
Subtask • Self-reported
33.3%
Tau2 Airline
• Self-reported
48.0%
Tau2 Retail
• Self-reported
56.9%
Tau2 Telecom
• Self-reported
42.2%
Terminal-Bench
Hard subset • Self-reported
8.5%

License & Metadata

License
nvidia-open-model
Announcement Date
December 14, 2025
Last Updated
February 6, 2026

Articles about Nemotron 3 Nano (30B A3B)

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