Context Window

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Gemini 2 5 Flash Native Audio Preview 12 2025 vs Gemma 7b It

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
Google

Model

Gemma 7b It

Context window

8K

8,192 tokens · ~6K 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
Gemma 7b It8K

Gemini 2 5 Flash Native Audio Preview 12 2025 has about 128× the context window of the other in this pair.

Token calculator →Memory savings →

Gemini 2 5 Flash Native Audio Preview 12 2025 has 12700% more context capacity (1048K vs 8K tokens). Gemma 7b It is 83% 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 8K).

  • RAG / high-volume retrieval

    Use Gemma 7b It. Input tokens are 83% cheaper — critical when sending large retrieved contexts.

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 2025Gemma 7b It
Context window1,048,576 tokens (1048K)8,192 tokens (8K)
Max output tokens8,192 tokens (8K)8,192 tokens (8K)
Speed tierFastFast
VisionNoNo
Function callingNoNo
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.

ProviderGemini 2 5 Flash Native Audio Preview 12 2025 inGemini 2 5 Flash Native Audio Preview 12 2025 outGemma 7b It inGemma 7b It out
Anyscale——$0.150/M$0.150/M
Fireworks——$0.200/M$0.200/M
Google$0.300/M$2.50/M——
Groq——$0.050/M$0.080/M

Frequently asked questions

Gemini 2 5 Flash Native Audio Preview 12 2025 has a larger context window: 1048K tokens vs 8K. 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