Context Window

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Gemini Gemma 2 27b It vs Gov Anthropic Claude 3 Haiku 20240307

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 Gemma 2 27b It

Image inputTool calling

Context window

8K

8,192 tokens · ~6K words

Model page
Anthropic

Model

Gov Anthropic Claude 3 Haiku 20240307

Image inputTool calling

Context window

200K

200,000 tokens · ~150K 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 Gemma 2 27b It8K
Gov Anthropic Claude 3 Haiku 20240307200K

Gov Anthropic Claude 3 Haiku 20240307 has about 24.4× the context window of the other in this pair.

Token calculator →Memory savings →

Gov Anthropic Claude 3 Haiku 20240307 has 2341% more context capacity (200K vs 8K tokens). Gov Anthropic Claude 3 Haiku 20240307 is 14% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Gov Anthropic Claude 3 Haiku 20240307. Its 200K context fits entire documents without chunking (vs 8K).

  • RAG / high-volume retrieval

    Use Gov Anthropic Claude 3 Haiku 20240307. Input tokens are 14% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Gemini Gemma 2 27b It. Its 8K 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 Gemma 2 27b ItGov Anthropic Claude 3 Haiku 20240307
Context window8,192 tokens (8K)200,000 tokens (200K)
Max output tokens8,192 tokens (8K)4,096 tokens (4K)
Speed tierFastFast
VisionYesYes
Function callingYesYes
Extended thinkingNoNo
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 Gemma 2 27b It inGemini Gemma 2 27b It outGov Anthropic Claude 3 Haiku 20240307 inGov Anthropic Claude 3 Haiku 20240307 out
Aws Bedrock——$0.300/M$1.50/M
Google$0.350/M$1.05/M——

Frequently asked questions

Gov Anthropic Claude 3 Haiku 20240307 has a larger context window: 200K 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
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Key memories
Current turn

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