Context Window

Compare

Amazon Titan Text Express vs Magistral Small 1 2 2509

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 Express

Context window

42K

42,000 tokens · ~32K words

Model page
Mistral

Model

Magistral Small 1 2 2509

Tool calling

Context window

40K

40,000 tokens · ~30K 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 Express42K
Magistral Small 1 2 250940K

Amazon Titan Text Express has about 1.1× the context window of the other in this pair.

Token calculator →Memory savings →

Amazon Titan Text Express has 5% more context capacity (42K vs 40K tokens). Magistral Small 1 2 2509 is 61% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Amazon Titan Text Express. Its 42K context fits entire documents without chunking (vs 40K).

  • RAG / high-volume retrieval

    Use Magistral Small 1 2 2509. Input tokens are 61% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Magistral Small 1 2 2509. Its 40K 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 ExpressMagistral Small 1 2 2509
Context window42,000 tokens (42K)40,000 tokens (40K)
Max output tokens8,000 tokens (8K)40,000 tokens (40K)
Speed tierBalancedBalanced
VisionNoNo
Function callingNoYes
Extended thinkingNoYes
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 Express inAmazon Titan Text Express outMagistral Small 1 2 2509 inMagistral Small 1 2 2509 out
Aws Bedrock$1.30/M$1.70/M——
Mistral——$0.500/M$1.50/M

Frequently asked questions

Amazon Titan Text Express has a larger context window: 42K tokens vs 40K. 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.

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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