Context Window

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GPT-4o-mini Search 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 Search Preview

Image inputTool 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 Search Preview128K
Nvidia Nemotron Nano 3 30b262K

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

Token calculator →Memory savings →

Nvidia Nemotron Nano 3 30b has 104% more context capacity (262K vs 128K tokens). Nvidia Nemotron Nano 3 30b is 60% 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 60% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use GPT-4o-mini Search Preview. Its 16K 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 Search PreviewNvidia Nemotron Nano 3 30b
Context window128,000 tokens (128K)262,144 tokens (262K)
Max output tokens16,384 tokens (16K)8,192 tokens (8K)
Speed tierFastFast
VisionYesNo
Function callingYesYes
Extended thinkingNoNo
Prompt cachingYesNo
Batch APIYesNo
Release dateMar 2025N/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 Search Preview inGPT-4o-mini Search Preview outNvidia Nemotron Nano 3 30b inNvidia Nemotron Nano 3 30b out
Aws Bedrock——$0.060/M$0.240/M
Openai$0.150/M$0.600/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.

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Example: a multi-turn chat session

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

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