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Nemotron 3 Ultra (batch) vs Virtuoso Large

This page is context-first: how much text each model can take in one request. Full specs adds capabilities and limits; the pricing matrix below is only about $/million tokens from hosts that list both models.

Nvidia

Model

Nemotron 3 Ultra (batch)

Tool calling

Context window

512K

512,288 tokens · ~384K words

Model page
Arcee Ai

Model

Virtuoso Large

Tool calling

Context window

131K

131,072 tokens · ~98K words

Model page

Context window · side by side

Bar length is relative to the larger of the two windows (100% = max of this pair). This is not pricing.

Nemotron 3 Ultra (batch)512K
Virtuoso Large131K

Nemotron 3 Ultra (batch) has about 3.9× the context window of the other in this pair.

Nemotron 3 Ultra (batch) has 290% more context capacity (512K vs 131K tokens).

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Nemotron 3 Ultra (batch). Its 512K context fits entire documents without chunking (vs 131K).

Full specs

Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.

SpecNemotron 3 Ultra (batch)Virtuoso Large
Context window512,288 tokens (512K)131,072 tokens (131K)
Max output tokensN/A64,000 tokens (64K)
Speed tierBalancedDeep
VisionNoNo
Function callingYesYes
Extended thinkingYesNo
Prompt cachingYesNo
Batch APINoNo
Release dateJun 2026May 2025

Frequently asked questions

Nemotron 3 Ultra (batch) has a larger context window: 512K tokens vs 131K. For long documents, large codebases, or extended agent sessions, the larger context window reduces the need to chunk inputs or summarize history.

Powered by Mem0

Use a smaller model.
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Mem0 gives your AI long-term memory so you stop re-sending context on every call. That means you can use a smaller, faster, cheaper model — and still get better answers.

Example: a multi-turn chat session

Without Mem0~128K tokens sent
Full history
Repeated info
Old context
With Mem0~20K tokens sent
Key memories
Current turn

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