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Gemma 3 4b It Gguf vs Gov Anthropic Claude Sonnet 4 5 20250929

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 3 4b It Gguf

Tool calling

Context window

128K

128,000 tokens · ~96K words

Model page
Anthropic

Model

Gov Anthropic Claude Sonnet 4 5 20250929

Image inputTool calling

Context window

200K

200,000 tokens · ~150K 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 3 4b It Gguf128K
Gov Anthropic Claude Sonnet 4 5 20250929200K

Gov Anthropic Claude Sonnet 4 5 20250929 has about 1.6× the context window of the other in this pair.

Gov Anthropic Claude Sonnet 4 5 20250929 has 56% more context capacity (200K vs 128K tokens).

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Gov Anthropic Claude Sonnet 4 5 20250929. Its 200K context fits entire documents without chunking (vs 128K).

  • Long output (reports, code files)

    Use Gov Anthropic Claude Sonnet 4 5 20250929. Its 64K 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 3 4b It GgufGov Anthropic Claude Sonnet 4 5 20250929
Context window128,000 tokens (128K)200,000 tokens (200K)
Max output tokens8,192 tokens (8K)64,000 tokens (64K)
Speed tierBalancedBalanced
VisionNoYes
Function callingYesYes
Extended thinkingNoYes
Prompt cachingNoYes
Batch APINoYes
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 3 4b It Gguf inGemma 3 4b It Gguf outGov Anthropic Claude Sonnet 4 5 20250929 inGov Anthropic Claude Sonnet 4 5 20250929 out
Aws Bedrock$3.30/M$16.50/M
Lemonade

Frequently asked questions

Gov Anthropic Claude Sonnet 4 5 20250929 has a larger context window: 200K tokens vs 128K. 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