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Nano Banana (Gemini 2.5 Flash Image) vs Jp Anthropic Claude Sonnet 4 6

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

Nano Banana (Gemini 2.5 Flash Image)

Image input

Context window

33K

32,768 tokens · ~25K words

Model page
Anthropic

Model

Jp Anthropic Claude Sonnet 4 6

Image inputTool calling

Context window

1M

1,000,000 tokens · ~750K 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.

Nano Banana (Gemini 2.5 Flash Image)33K
Jp Anthropic Claude Sonnet 4 61M

Jp Anthropic Claude Sonnet 4 6 has about 30.5× the context window of the other in this pair.

Jp Anthropic Claude Sonnet 4 6 has 2951% more context capacity (1000K vs 32K tokens).

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Jp Anthropic Claude Sonnet 4 6. Its 1000K context fits entire documents without chunking (vs 32K).

  • Long output (reports, code files)

    Use Jp Anthropic Claude Sonnet 4 6. 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.

SpecNano Banana (Gemini 2.5 Flash Image)Jp Anthropic Claude Sonnet 4 6
Context window32,768 tokens (32K)1,000,000 tokens (1000K)
Max output tokens32,768 tokens (32K)64,000 tokens (64K)
Speed tierFastBalanced
VisionYesYes
Function callingNoYes
Extended thinkingNoYes
Prompt cachingYesYes
Batch APINoYes
Release dateOct 2025N/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.

ProviderNano Banana (Gemini 2.5 Flash Image) inNano Banana (Gemini 2.5 Flash Image) outJp Anthropic Claude Sonnet 4 6 inJp Anthropic Claude Sonnet 4 6 out
Aws Bedrock$3.30/M$16.50/M

Frequently asked questions

Jp Anthropic Claude Sonnet 4 6 has a larger context window: 1000K tokens vs 32K. 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