Context Window

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Gemini 2.5 Pro Preview 05-06 vs GPT-4o Search 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.

Google

Model

Gemini 2.5 Pro Preview 05-06

Image inputTool calling

Context window

1.0M

1,048,576 tokens · ~786K words

Model page
Openai

Model

GPT-4o Search Preview

Image inputTool 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.

Gemini 2.5 Pro Preview 05-061.0M
GPT-4o Search Preview128K

Gemini 2.5 Pro Preview 05-06 has about 8.2× the context window of the other in this pair.

Token calculator →Memory savings →

Gemini 2.5 Pro Preview 05-06 has 719% more context capacity (1048K vs 128K tokens).

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Gemini 2.5 Pro Preview 05-06. Its 1048K context fits entire documents without chunking (vs 128K).

  • Long output (reports, code files)

    Use Gemini 2.5 Pro Preview 05-06. Its 65K 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.

SpecGemini 2.5 Pro Preview 05-06GPT-4o Search Preview
Context window1,048,576 tokens (1048K)128,000 tokens (128K)
Max output tokens65,535 tokens (65K)16,384 tokens (16K)
Speed tierFastBalanced
VisionYesYes
Function callingYesYes
Extended thinkingYesNo
Prompt cachingYesYes
Batch APINoYes
Release dateMay 2025Mar 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.

ProviderGemini 2.5 Pro Preview 05-06 inGemini 2.5 Pro Preview 05-06 outGPT-4o Search Preview inGPT-4o Search Preview out
Openai——$2.50/M$10.00/M

Frequently asked questions

Gemini 2.5 Pro Preview 05-06 has a larger context window: 1048K 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
With Mem0~20K tokens sent
Key memories
Current turn

80% less to send — works with any model