Context Window

Compare

Gemini 3 1 Flash Live Preview 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

Gemini 3 1 Flash Live Preview

Image inputTool calling

Context window

131K

131,072 tokens · ~98K 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.

Gemini 3 1 Flash Live Preview131K
Jp Anthropic Claude Sonnet 4 61M

Jp Anthropic Claude Sonnet 4 6 has about 7.6× the context window of the other in this pair.

Token calculator →Memory savings →

Jp Anthropic Claude Sonnet 4 6 has 662% more context capacity (1000K vs 131K tokens). Gemini 3 1 Flash Live Preview is 77% cheaper on input.

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 131K).

  • RAG / high-volume retrieval

    Use Gemini 3 1 Flash Live Preview. Input tokens are 77% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Gemini 3 1 Flash Live Preview. Its 65K 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.

SpecGemini 3 1 Flash Live PreviewJp Anthropic Claude Sonnet 4 6
Context window131,072 tokens (131K)1,000,000 tokens (1000K)
Max output tokens65,536 tokens (65K)64,000 tokens (64K)
Speed tierFastBalanced
VisionYesYes
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.

ProviderGemini 3 1 Flash Live Preview inGemini 3 1 Flash Live Preview outJp Anthropic Claude Sonnet 4 6 inJp Anthropic Claude Sonnet 4 6 out
Aws Bedrock——$3.30/M$16.50/M
Google$0.750/M$4.50/M——

Frequently asked questions

Jp Anthropic Claude Sonnet 4 6 has a larger context window: 1000K 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
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Key memories
Current turn

80% less to send — works with any model