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Gemma 4 26b A4b It Maas vs Llama Guard 4 12B

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
Meta

Model

Llama Guard 4 12B

Image input

Context window

164K

163,840 tokens · ~123K 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
Llama Guard 4 12B164K

Gemma 4 26b A4b It Maas has about 1.6× the context window of the other in this pair.

Gemma 4 26b A4b It Maas has 56% more context capacity (256K vs 163K tokens). Gemma 4 26b A4b It Maas is 16% cheaper on input.

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 163K).

  • RAG / high-volume retrieval

    Use Gemma 4 26b A4b It Maas. Input tokens are 16% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Llama Guard 4 12B. Its 163K 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 MaasLlama Guard 4 12B
Context window256,000 tokens (256K)163,840 tokens (163K)
Max output tokens128,000 tokens (128K)163,840 tokens (163K)
Speed tierBalancedBalanced
VisionYesYes
Function callingYesNo
Extended thinkingNoNo
Prompt cachingNoNo
Batch APINoNo
Release dateN/AApr 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 It Maas inGemma 4 26b A4b It Maas outLlama Guard 4 12B inLlama Guard 4 12B out
Deepinfra$0.180/M$0.180/M
Google Vertex$0.150/M$0.600/M
Groq$0.200/M$0.200/M

Frequently asked questions

Gemma 4 26b A4b It Maas has a larger context window: 256K tokens vs 163K. For long documents, large codebases, or extended agent sessions, the larger context window reduces the need to chunk inputs or summarize history.

Powered by Mem0

Use a smaller model.
Get better results.

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.

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