Context Window

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Gemini 2 5 Flash Native Audio Preview 12 2025 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 2 5 Flash Native Audio Preview 12 2025

Context window

1.0M

1,048,576 tokens · ~786K 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 2 5 Flash Native Audio Preview 12 20251.0M
Jp Anthropic Claude Sonnet 4 61M

Gemini 2 5 Flash Native Audio Preview 12 2025 has about 1× the context window of the other in this pair.

Token calculator →Memory savings →

Gemini 2 5 Flash Native Audio Preview 12 2025 has 4% more context capacity (1048K vs 1000K tokens). Gemini 2 5 Flash Native Audio Preview 12 2025 is 90% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Gemini 2 5 Flash Native Audio Preview 12 2025. Its 1048K context fits entire documents without chunking (vs 1000K).

  • RAG / high-volume retrieval

    Use Gemini 2 5 Flash Native Audio Preview 12 2025. Input tokens are 90% cheaper — critical when sending large retrieved contexts.

  • 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.

SpecGemini 2 5 Flash Native Audio Preview 12 2025Jp Anthropic Claude Sonnet 4 6
Context window1,048,576 tokens (1048K)1,000,000 tokens (1000K)
Max output tokens8,192 tokens (8K)64,000 tokens (64K)
Speed tierFastBalanced
VisionNoYes
Function callingNoYes
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 2 5 Flash Native Audio Preview 12 2025 inGemini 2 5 Flash Native Audio Preview 12 2025 outJp Anthropic Claude Sonnet 4 6 inJp Anthropic Claude Sonnet 4 6 out
Aws Bedrock——$3.30/M$16.50/M
Google$0.300/M$2.50/M——

Frequently asked questions

Gemini 2 5 Flash Native Audio Preview 12 2025 has a larger context window: 1048K tokens vs 1000K. 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
With Mem0~20K tokens sent
Key memories
Current turn

80% less to send — works with any model