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Deepseek V2 Lite vs Gemma 4 26b A4b It Maas

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.

Deepseek

Model

Deepseek V2 Lite

Context window

164K

163,840 tokens · ~123K words

Model page
Google

Model

Gemma 4 26b A4b It Maas

Image inputTool calling

Context window

256K

256,000 tokens · ~192K 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.

Deepseek V2 Lite164K
Gemma 4 26b A4b It Maas256K

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 70% 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 70% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Deepseek V2 Lite. 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.

SpecDeepseek V2 LiteGemma 4 26b A4b It Maas
Context window163,840 tokens (163K)256,000 tokens (256K)
Max output tokens163,840 tokens (163K)128,000 tokens (128K)
Speed tierBalancedBalanced
VisionNoYes
Function callingNoYes
Extended thinkingNoNo
Prompt cachingNoNo
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.

ProviderDeepseek V2 Lite inDeepseek V2 Lite outGemma 4 26b A4b It Maas inGemma 4 26b A4b It Maas out
Fireworks$0.500/M$0.500/M
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 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