Context Window

Compare

Gemma 4 26b A4b It Maas vs Qwen3 Omni 30b A3b

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
Alibaba

Model

Qwen3 Omni 30b A3b

Image inputTool calling

Context window

66K

65,536 tokens · ~49K 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
Qwen3 Omni 30b A3b66K

Gemma 4 26b A4b It Maas has about 3.9× the context window of the other in this pair.

Token calculator →Memory savings →

Gemma 4 26b A4b It Maas has 290% more context capacity (256K vs 65K tokens). Gemma 4 26b A4b It Maas is 40% 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 65K).

  • RAG / high-volume retrieval

    Use Gemma 4 26b A4b It Maas. Input tokens are 40% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Gemma 4 26b A4b It Maas. Its 128K 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 MaasQwen3 Omni 30b A3b
Context window256,000 tokens (256K)65,536 tokens (65K)
Max output tokens128,000 tokens (128K)16,384 tokens (16K)
Speed tierBalancedFast
VisionYesYes
Function callingYesYes
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.

ProviderGemma 4 26b A4b It Maas inGemma 4 26b A4b It Maas outQwen3 Omni 30b A3b inQwen3 Omni 30b A3b out
Google Vertex$0.150/M$0.600/M——
Novita——$0.250/M$0.970/M

Frequently asked questions

Gemma 4 26b A4b It Maas has a larger context window: 256K tokens vs 65K. 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
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Key memories
Current turn

80% less to send — works with any model