Context Window

Compare

Gpt 4o Mini Realtime Preview vs GPT-5.2

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
Openai

Model

GPT-5.2

Image inputTool calling

Context window

272K

272,000 tokens · ~204K 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
GPT-5.2272K

GPT-5.2 has about 2.1× the context window of the other in this pair.

Token calculator →Memory savings →

GPT-5.2 has 112% more context capacity (272K vs 128K tokens). Gpt 4o Mini Realtime Preview is 65% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use GPT-5.2. Its 272K context fits entire documents without chunking (vs 128K).

  • RAG / high-volume retrieval

    Use Gpt 4o Mini Realtime Preview. Input tokens are 65% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use GPT-5.2. Its 128K 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 PreviewGPT-5.2
Context window128,000 tokens (128K)272,000 tokens (272K)
Max output tokens4,096 tokens (4K)128,000 tokens (128K)
Speed tierFastBalanced
VisionNoYes
Function callingYesYes
Extended thinkingNoYes
Prompt cachingYesYes
Batch APIYesNo
Release dateN/ADec 2025

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 outGPT-5.2 inGPT-5.2 out
Azure——$1.75/M$14.00/M
Gmi——$1.75/M$14.00/M
Openai$0.600/M$2.40/M$1.75/M$14.00/M
Openrouter——$1.75/M$14.00/M

Frequently asked questions

GPT-5.2 has a larger context window: 272K 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