LLM AtlasLLM AtlasSearch models

NVIDIA

Llama Nemotron Nano 4B

Open weightopen-weight

NVIDIA's compact 4B Llama Nemotron Nano for edge AI with high-accuracy reasoning. Runs on consumer GPUs.

Last verified: 2026-03-29Confidence: MediumSources: 4
textreasoningcodeopen-source
Input price
Unpublished
Output price
Unpublished
Context window
131,072
Max output
16,384
Release date
2025-06-10
Access
open-weight, self-hosted, hosted, api
License
Llama Community 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

Supercharges edge AI with high-accuracy reasoning at the 4B tier.

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

Strengths

  • • Runs on edge devices
  • • High accuracy for size
  • • Fast inference

Trade-offs

  • • Limited capability compared to larger models

Crawlable benchmark analysis

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

Published scores highlight reasoning 58/100, coding 55/100, enterprise readiness 76/100, vision 25/100, speed 95/100, and safety 72/100.

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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