Context Window

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Gemma 4 26b A4b It Maas vs Glm 4 5

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
Z Ai

Model

Glm 4 5

Tool calling

Context window

131K

131,072 tokens · ~98K 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
Glm 4 5131K

Gemma 4 26b A4b It Maas has about 2× the context window of the other in this pair.

Token calculator →Memory savings →

Gemma 4 26b A4b It Maas has 95% more context capacity (256K vs 131K tokens). Gemma 4 26b A4b It Maas is 75% 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 131K).

  • RAG / high-volume retrieval

    Use Gemma 4 26b A4b It Maas. Input tokens are 75% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Glm 4 5. Its 131K 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 MaasGlm 4 5
Context window256,000 tokens (256K)131,072 tokens (131K)
Max output tokens128,000 tokens (128K)131,072 tokens (131K)
Speed tierBalancedBalanced
VisionYesNo
Function callingYesYes
Extended thinkingNoYes
Prompt cachingNoYes
Batch APINoNo
Release dateN/AN/A

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 outGlm 4 5 inGlm 4 5 out
Deepinfra——$0.400/M$1.60/M
Google Vertex$0.150/M$0.600/M——
Novita——$0.600/M$2.20/M
Z Ai——$0.600/M$2.20/M

Frequently asked questions

Gemma 4 26b A4b It Maas has a larger context window: 256K tokens vs 131K. 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