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Amazon Nova 2 Lite vs Amazon Titan Text Express

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 Nova 2 Lite

Image inputTool calling

Context window

1M

1,000,000 tokens · ~750K words

Model page
Amazon

Model

Amazon Titan Text Express

Context window

42K

42,000 tokens · ~32K 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 Nova 2 Lite1M
Amazon Titan Text Express42K

Amazon Nova 2 Lite has about 23.8× the context window of the other in this pair.

Amazon Nova 2 Lite has 2280% more context capacity (1000K vs 42K tokens). Amazon Nova 2 Lite is 76% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Amazon Nova 2 Lite. Its 1000K context fits entire documents without chunking (vs 42K).

  • RAG / high-volume retrieval

    Use Amazon Nova 2 Lite. Input tokens are 76% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Amazon Nova 2 Lite. 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.

SpecAmazon Nova 2 LiteAmazon Titan Text Express
Context window1,000,000 tokens (1000K)42,000 tokens (42K)
Max output tokens64,000 tokens (64K)8,000 tokens (8K)
Speed tierBalancedBalanced
VisionYesNo
Function callingYesNo
Extended thinkingYesNo
Prompt cachingYesNo
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.

ProviderAmazon Nova 2 Lite inAmazon Nova 2 Lite outAmazon Titan Text Express inAmazon Titan Text Express out
Aws Bedrock$0.300/M$2.50/M$1.30/M$1.70/M

Frequently asked questions

Amazon Nova 2 Lite has a larger context window: 1000K 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.

Powered by Mem0

Use a smaller model.
Get better results.

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.

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