Compare

Grok Build 0.1 vs Nemotron 3 Ultra

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.

Xai

Model

Grok Build 0.1

Image inputTool calling

Context window

256K

256,000 tokens · ~192K words

Model page
Nvidia

Model

Nemotron 3 Ultra

Tool calling

Context window

1M

1,000,000 tokens · ~750K 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.

Grok Build 0.1256K
Nemotron 3 Ultra1M

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

Nemotron 3 Ultra has 290% more context capacity (1000K vs 256K tokens).

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Nemotron 3 Ultra. Its 1000K context fits entire documents without chunking (vs 256K).

Full specs

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

SpecGrok Build 0.1Nemotron 3 Ultra
Context window256,000 tokens (256K)1,000,000 tokens (1000K)
Max output tokensN/A16,384 tokens (16K)
Speed tierBalancedBalanced
VisionYesNo
Function callingYesYes
Extended thinkingYesYes
Prompt cachingYesYes
Batch APINoNo
Release dateMay 2026Jun 2026

Frequently asked questions

Nemotron 3 Ultra has a larger context window: 1000K tokens vs 256K. 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.
Get better results.

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

80% less to send — works with any model