Context Window

Compare

Apac Amazon Nova Pro vs Gpt 4o Mini Realtime Preview

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.

Amazon

Model

Apac Amazon Nova Pro

Image inputTool calling

Context window

300K

300,000 tokens · ~225K words

Model page
Openai

Model

Gpt 4o Mini Realtime Preview

Tool calling

Context window

128K

128,000 tokens · ~96K 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.

Apac Amazon Nova Pro300K
Gpt 4o Mini Realtime Preview128K

Apac Amazon Nova Pro has about 2.3× the context window of the other in this pair.

Token calculator →Memory savings →

Apac Amazon Nova Pro has 134% more context capacity (300K vs 128K tokens). Gpt 4o Mini Realtime Preview is 28% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Apac Amazon Nova Pro. Its 300K context fits entire documents without chunking (vs 128K).

  • RAG / high-volume retrieval

    Use Gpt 4o Mini Realtime Preview. Input tokens are 28% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Apac Amazon Nova Pro. Its 10K 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.

SpecApac Amazon Nova ProGpt 4o Mini Realtime Preview
Context window300,000 tokens (300K)128,000 tokens (128K)
Max output tokens10,000 tokens (10K)4,096 tokens (4K)
Speed tierBalancedFast
VisionYesNo
Function callingYesYes
Extended thinkingNoNo
Prompt cachingNoYes
Batch APINoYes
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.

ProviderApac Amazon Nova Pro inApac Amazon Nova Pro outGpt 4o Mini Realtime Preview inGpt 4o Mini Realtime Preview out
Aws Bedrock$0.840/M$3.36/M——
Openai——$0.600/M$2.40/M

Frequently asked questions

Apac Amazon Nova Pro has a larger context window: 300K 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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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.

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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