Context Window

Compare

Amazon Titan Text Lite vs GPT-5.3 Chat

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
Openai

Model

GPT-5.3 Chat

Image inputTool calling

Context window

128K

128,000 tokens · ~96K 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
GPT-5.3 Chat128K

GPT-5.3 Chat has about 3× the context window of the other in this pair.

Token calculator →Memory savings →

GPT-5.3 Chat has 204% more context capacity (128K vs 42K tokens). Amazon Titan Text Lite is 82% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use GPT-5.3 Chat. Its 128K context fits entire documents without chunking (vs 42K).

  • RAG / high-volume retrieval

    Use Amazon Titan Text Lite. Input tokens are 82% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use GPT-5.3 Chat. Its 16K 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 LiteGPT-5.3 Chat
Context window42,000 tokens (42K)128,000 tokens (128K)
Max output tokens4,000 tokens (4K)16,384 tokens (16K)
Speed tierBalancedBalanced
VisionNoYes
Function callingNoYes
Extended thinkingNoYes
Prompt cachingNoYes
Batch APINoNo
Release dateN/AMar 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 outGPT-5.3 Chat inGPT-5.3 Chat out
Aws Bedrock$0.300/M$0.400/M——
Azure——$1.75/M$14.00/M

Frequently asked questions

GPT-5.3 Chat has a larger context window: 128K 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.

Calculate your savingsLearn about Mem0

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