Context Window

Compare

Amazon Titan Text Lite vs Minimax M2p1

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
Minimax

Model

Minimax M2p1

Tool calling

Context window

205K

204,800 tokens · ~154K 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
Minimax M2p1205K

Minimax M2p1 has about 4.9× the context window of the other in this pair.

Token calculator →Memory savings →

Minimax M2p1 has 387% more context capacity (204K vs 42K tokens). Minimax M2p1 is 0% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Minimax M2p1. Its 204K context fits entire documents without chunking (vs 42K).

  • Long output (reports, code files)

    Use Minimax M2p1. Its 204K 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 LiteMinimax M2p1
Context window42,000 tokens (42K)204,800 tokens (204K)
Max output tokens4,000 tokens (4K)204,800 tokens (204K)
Speed tierBalancedFast
VisionNoNo
Function callingNoYes
Extended thinkingNoNo
Prompt cachingNoYes
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 outMinimax M2p1 inMinimax M2p1 out
Aws Bedrock$0.300/M$0.400/M——
Fireworks——$0.300/M$1.20/M

Frequently asked questions

Minimax M2p1 has a larger context window: 204K 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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Without Mem0~128K tokens sent
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