Context Window

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Gemma 4 26b A4b It Maas vs MiniMax M2.5 (free)

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 It Maas

Image inputTool calling

Context window

256K

256,000 tokens · ~192K words

Model page
Minimax

Model

MiniMax M2.5 (free)

Tool calling

Context window

197K

196,608 tokens · ~147K 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 It Maas256K
MiniMax M2.5 (free)197K

Gemma 4 26b A4b It Maas has about 1.3× the context window of the other in this pair.

Token calculator →Memory savings →

Gemma 4 26b A4b It Maas has 30% more context capacity (256K vs 196K tokens).

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Gemma 4 26b A4b It Maas. Its 256K context fits entire documents without chunking (vs 196K).

  • Long output (reports, code files)

    Use MiniMax M2.5 (free). Its 196K 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 It MaasMiniMax M2.5 (free)
Context window256,000 tokens (256K)196,608 tokens (196K)
Max output tokens128,000 tokens (128K)196,608 tokens (196K)
Speed tierBalancedFast
VisionYesNo
Function callingYesYes
Extended thinkingNoYes
Prompt cachingNoNo
Batch APINoNo
Release dateN/AFeb 2026

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 It Maas inGemma 4 26b A4b It Maas outMiniMax M2.5 (free) inMiniMax M2.5 (free) out
Google Vertex$0.150/M$0.600/M——

Frequently asked questions

Gemma 4 26b A4b It Maas has a larger context window: 256K tokens vs 196K. 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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