Context Window

Compare

Amazon Titan Text Lite vs Gpt Audio Mini 2025 10 06

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 Audio Mini 2025 10 06

Tool 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 Audio Mini 2025 10 06128K

Gpt Audio Mini 2025 10 06 has about 3× the context window of the other in this pair.

Token calculator →Memory savings →

Gpt Audio Mini 2025 10 06 has 204% more context capacity (128K vs 42K tokens). Amazon Titan Text Lite is 50% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Gpt Audio Mini 2025 10 06. Its 128K context fits entire documents without chunking (vs 42K).

  • RAG / high-volume retrieval

    Use Amazon Titan Text Lite. Input tokens are 50% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Gpt Audio Mini 2025 10 06. 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 Audio Mini 2025 10 06
Context window42,000 tokens (42K)128,000 tokens (128K)
Max output tokens4,000 tokens (4K)16,384 tokens (16K)
Speed tierBalancedFast
VisionNoNo
Function callingNoYes
Extended thinkingNoNo
Prompt cachingNoNo
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 Titan Text Lite inAmazon Titan Text Lite outGpt Audio Mini 2025 10 06 inGpt Audio Mini 2025 10 06 out
Aws Bedrock$0.300/M$0.400/M——
Azure——$0.600/M$2.40/M
Openai——$0.600/M$2.40/M

Frequently asked questions

Gpt Audio Mini 2025 10 06 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.

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Use a smaller model.
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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
With Mem0~20K tokens sent
Key memories
Current turn

80% less to send — works with any model