Context Window

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Anthropic Claude vs Databricks Gemini 2 5 Flash

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.

Anthropic

Model

Anthropic Claude

Context window

100K

100,000 tokens · ~75K words

Model page
Google

Model

Databricks Gemini 2 5 Flash

Tool calling

Context window

1.0M

1,048,576 tokens · ~786K 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.

Anthropic Claude100K
Databricks Gemini 2 5 Flash1.0M

Databricks Gemini 2 5 Flash has about 10.5× the context window of the other in this pair.

Token calculator →Memory savings →

Databricks Gemini 2 5 Flash has 948% more context capacity (1048K vs 100K tokens). Databricks Gemini 2 5 Flash is 96% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Databricks Gemini 2 5 Flash. Its 1048K context fits entire documents without chunking (vs 100K).

  • RAG / high-volume retrieval

    Use Databricks Gemini 2 5 Flash. Input tokens are 96% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Databricks Gemini 2 5 Flash. 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.

SpecAnthropic ClaudeDatabricks Gemini 2 5 Flash
Context window100,000 tokens (100K)1,048,576 tokens (1048K)
Max output tokens8,191 tokens (8K)65,535 tokens (65K)
Speed tierBalancedFast
VisionNoNo
Function callingNoYes
Extended thinkingNoNo
Prompt cachingNoNo
Batch APIYesNo
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.

ProviderAnthropic Claude inAnthropic Claude outDatabricks Gemini 2 5 Flash inDatabricks Gemini 2 5 Flash out
Aws Bedrock$8.00/M$24.00/M——
Databricks——$0.300/M$2.50/M

Frequently asked questions

Databricks Gemini 2 5 Flash has a larger context window: 1048K tokens vs 100K. 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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Current turn

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