NVIDIA Nemotron 3.5 Lightning 30B A3BWork with me

NVIDIA Nemotron 3.5 Lightning 30B A3B

byNVIDIA

NVIDIA Nemotron 3.5 Lightning 30B A3B is a reasoning model from NVIDIA released on Aug 11, 2026. It reads text and writes text, with a 1M token context window.

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Its weights are open, so you can host it yourself.

On the Artificial Analysis Intelligence Index it scores 12.9, which places it at number 36 among the 43 models I track with independent scores.

Modalities
In / out price
n/a
Context
1M
Max output
n/a
Released
Aug 11, 2026
Knowledge cutoff
n/a
  • Tool calling
  • Structured output
  • Reasoning
  • Prompt caching
  • Open weights
  • Free to use

Independent benchmarks

Measured by third parties, not reported by NVIDIA. Each links to its source and shows the date I checked it.

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NVIDIA Nemotron 3.5 Lightning 30B A3B questions

What is the context window of NVIDIA Nemotron 3.5 Lightning 30B A3B?

1,000,000 tokens of input. As a rough guide, a million tokens is around 750,000 English words.

Does NVIDIA Nemotron 3.5 Lightning 30B A3B support tool calling?

Not through the standard tools parameter. For an agent that calls your APIs, pick a model from the alternatives below that does.

Is NVIDIA Nemotron 3.5 Lightning 30B A3B open source?

Its weights are published, so you can run it on your own hardware or a cloud of your choice. Read the license before commercial use.

When was NVIDIA Nemotron 3.5 Lightning 30B A3B released?

Aug 11, 2026.

How good is NVIDIA Nemotron 3.5 Lightning 30B A3B compared with other models?

It scores 12.9 on the Artificial Analysis Intelligence Index and 1349 on the Arena text leaderboard. Benchmarks are a shortlist, not a verdict: test the top two or three candidates on your own tasks before you commit.

Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. Independent scores from my hand checked rankings, sources linked above. The summary is written from these facts.

Building on NVIDIA Nemotron 3.5 Lightning 30B A3B?

I test your real tasks on it and the two closest alternatives, then ship the agent on whichever wins on cost and accuracy.

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