Compare

Gpt 4o Mini Realtime Preview vs Nvidia Nemotron Nano 3 30b

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.

Openai

Model

Gpt 4o Mini Realtime Preview

Tool calling

Context window

128K

128,000 tokens · ~96K words

Model page
Nvidia

Model

Nvidia Nemotron Nano 3 30b

Tool calling

Context window

262K

262,144 tokens · ~197K 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.

Gpt 4o Mini Realtime Preview128K
Nvidia Nemotron Nano 3 30b262K

Nvidia Nemotron Nano 3 30b has about 2× the context window of the other in this pair.

Nvidia Nemotron Nano 3 30b has 104% more context capacity (262K vs 128K tokens). Nvidia Nemotron Nano 3 30b is 90% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Nvidia Nemotron Nano 3 30b. Its 262K context fits entire documents without chunking (vs 128K).

  • RAG / high-volume retrieval

    Use Nvidia Nemotron Nano 3 30b. Input tokens are 90% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Nvidia Nemotron Nano 3 30b. Its 8K 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.

SpecGpt 4o Mini Realtime PreviewNvidia Nemotron Nano 3 30b
Context window128,000 tokens (128K)262,144 tokens (262K)
Max output tokens4,096 tokens (4K)8,192 tokens (8K)
Speed tierFastFast
VisionNoNo
Function callingYesYes
Extended thinkingNoNo
Prompt cachingYesNo
Batch APIYesNo
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.

ProviderGpt 4o Mini Realtime Preview inGpt 4o Mini Realtime Preview outNvidia Nemotron Nano 3 30b inNvidia Nemotron Nano 3 30b out
Aws Bedrock$0.060/M$0.240/M
Openai$0.600/M$2.40/M

Frequently asked questions

Nvidia Nemotron Nano 3 30b has a larger context window: 262K 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