LLM AtlasLLM AtlasSearch models

NVIDIA

Nemotron 3 Nano 4B

Open weightopen-weight

NVIDIA's compact 4B Nemotron Nano for efficient local AI with hybrid Mamba-2 architecture. Runs on consumer GPUs.

Last verified: 2026-03-29Confidence: HighSources: 5
textreasoningcodeopen-source
Input price
Unpublished
Output price
Unpublished
Context window
131,072
Max output
16,384
Release date
2025-12-15
Access
open-weight, self-hosted, hosted, api
License
NVIDIA Nemotron Open Model License
Last verified
2026-03-29

Capability profile

Radar view of the model's practical strengths. This chart is backed by textual summaries below for crawlability.

Benchmark summary

New standard for efficient, open, and intelligent agentic models at the 4B tier.

No benchmark series is attached to this model yet. Source links and product metadata are available below.

Strengths

  • • Runs on consumer hardware
  • • Hybrid Mamba-2 architecture
  • • Fast inference
  • • Enterprise license

Trade-offs

  • • Significantly lower quality than larger models

Crawlable benchmark analysis

Nemotron 3 Nano 4B is positioned as an enterprise llm model with published scores that emphasize its practical fit for buyers evaluating the entry.

Published scores highlight reasoning 55/100, coding 52/100, enterprise readiness 75/100, vision 20/100, speed 96/100, and safety 70/100.

Pricing is not fully published for this entry. With a context window of 131,072 tokens, it supports large-document analysis and retrieval workflows.

Benchmark coverage is still limited for this entry, so this section focuses on published metadata and deployment fit.

Sources

Provider and distribution links used to verify this model record.

Last verified: 2026-03-29

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