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Nvidia Nemotron Nano 12b vs Xai Grok 4 7

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

Nvidia Nemotron Nano 12b

Image input

Context window

128K

128,000 tokens · ~96K words

Model page
Xai

Model

Xai Grok 4 7

Image inputTool calling

Context window

500K

500,000 tokens · ~375K 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.

Nvidia Nemotron Nano 12b128K
Xai Grok 4 7500K

Xai Grok 4 7 has about 3.9× the context window of the other in this pair.

Xai Grok 4 7 has 290% more context capacity (500K vs 128K tokens). Nvidia Nemotron Nano 12b is 90% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Xai Grok 4 7. Its 500K context fits entire documents without chunking (vs 128K).

  • RAG / high-volume retrieval

    Use Nvidia Nemotron Nano 12b. Input tokens are 90% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Xai Grok 4 7. Its 500K max output lets you generate complete artifacts in one request.

Full specs

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

SpecNvidia Nemotron Nano 12bXai Grok 4 7
Context window128,000 tokens (128K)500,000 tokens (500K)
Max output tokens8,192 tokens (8K)500,000 tokens (500K)
Speed tierFastBalanced
VisionYesYes
Function callingNoYes
Extended thinkingNoYes
Prompt cachingNoYes
Batch APINoNo
Release dateN/AN/A

Pricing matrix

Dollar rates only: hosts that list both models, per 1M tokens. For how much text fits, use the context section above — not this table.

ProviderNvidia Nemotron Nano 12b inNvidia Nemotron Nano 12b outXai Grok 4 7 inXai Grok 4 7 out
Aws Bedrock$0.200/M$0.600/M$2.00/M$6.00/M
Fireworks$0.200/M$0.200/M——

Frequently asked questions

Xai Grok 4 7 has a larger context window: 500K tokens vs 128K. 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