Context Window

Compare

Gemma 4 26B A4B (free) vs GPT-4o-mini 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

Gemma 4 26B A4B (free)

Image inputTool calling

Context window

262K

262,144 tokens · ~197K words

Model page
Openai

Model

GPT-4o-mini 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.

Gemma 4 26B A4B (free)262K
GPT-4o-mini Search Preview128K

Gemma 4 26B A4B (free) has about 2× the context window of the other in this pair.

Token calculator →Memory savings →

Gemma 4 26B A4B (free) has 104% more context capacity (262K vs 128K tokens).

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Gemma 4 26B A4B (free). Its 262K context fits entire documents without chunking (vs 128K).

  • Long output (reports, code files)

    Use Gemma 4 26B A4B (free). Its 32K 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.

SpecGemma 4 26B A4B (free)GPT-4o-mini Search Preview
Context window262,144 tokens (262K)128,000 tokens (128K)
Max output tokens32,768 tokens (32K)16,384 tokens (16K)
Speed tierBalancedFast
VisionYesYes
Function callingYesYes
Extended thinkingYesNo
Prompt cachingNoYes
Batch APINoYes
Release dateApr 2026Mar 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.

ProviderGemma 4 26B A4B (free) inGemma 4 26B A4B (free) outGPT-4o-mini Search Preview inGPT-4o-mini Search Preview out
Openai——$0.150/M$0.600/M

Frequently asked questions

Gemma 4 26B A4B (free) 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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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

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