Context Window

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Amazon Titan Text Lite vs Gemini 3.1 Pro Preview

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.

Amazon

Model

Amazon Titan Text Lite

Context window

42K

42,000 tokens · ~32K words

Model page
Google

Model

Gemini 3.1 Pro Preview

Image inputTool 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.

Amazon Titan Text Lite42K
Gemini 3.1 Pro Preview1.0M

Gemini 3.1 Pro Preview has about 25× the context window of the other in this pair.

Token calculator →Memory savings →

Gemini 3.1 Pro Preview has 2396% more context capacity (1048K vs 42K tokens). Amazon Titan Text Lite is 85% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Gemini 3.1 Pro Preview. Its 1048K context fits entire documents without chunking (vs 42K).

  • RAG / high-volume retrieval

    Use Amazon Titan Text Lite. Input tokens are 85% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Gemini 3.1 Pro 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.

SpecAmazon Titan Text LiteGemini 3.1 Pro Preview
Context window42,000 tokens (42K)1,048,576 tokens (1048K)
Max output tokens4,000 tokens (4K)65,536 tokens (65K)
Speed tierBalancedFast
VisionNoYes
Function callingNoYes
Extended thinkingNoYes
Prompt cachingNoYes
Batch APINoNo
Release dateN/AFeb 2026

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.

ProviderAmazon Titan Text Lite inAmazon Titan Text Lite outGemini 3.1 Pro Preview inGemini 3.1 Pro Preview out
Aws Bedrock$0.300/M$0.400/M——
Google——$2.00/M$12.00/M
Google Vertex——$2.00/M$12.00/M
Openrouter——$2.00/M$12.00/M

Frequently asked questions

Gemini 3.1 Pro Preview has a larger context window: 1048K tokens vs 42K. 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