Compare

Kimi Latest 8k 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.

Moonshot

Model

Kimi Latest 8k

Image inputTool calling

Context window

8K

8,192 tokens · ~6K 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.

Kimi Latest 8k8K
Magistral Small 1 2 250940K

Magistral Small 1 2 2509 has about 4.9× the context window of the other in this pair.

Magistral Small 1 2 2509 has 388% more context capacity (40K vs 8K tokens). Kimi Latest 8k is 60% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Magistral Small 1 2 2509. Its 40K context fits entire documents without chunking (vs 8K).

  • RAG / high-volume retrieval

    Use Kimi Latest 8k. Input tokens are 60% 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.

SpecKimi Latest 8kMagistral Small 1 2 2509
Context window8,192 tokens (8K)40,000 tokens (40K)
Max output tokens8,192 tokens (8K)40,000 tokens (40K)
Speed tierBalancedBalanced
VisionYesNo
Function callingYesYes
Extended thinkingNoYes
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.

ProviderKimi Latest 8k inKimi Latest 8k outMagistral Small 1 2 2509 inMagistral Small 1 2 2509 out
Mistral$0.500/M$1.50/M
Moonshot$0.200/M$2.00/M

Frequently asked questions

Magistral Small 1 2 2509 has a larger context window: 40K tokens vs 8K. 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