Context Window

Compare

Kimi Latest 8k vs Mistral Large 3

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

Mistral Large 3

Image inputTool calling

Context window

256K

256,000 tokens · ~192K 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
Mistral Large 3256K

Mistral Large 3 has about 31.3× the context window of the other in this pair.

Token calculator →Memory savings →

Mistral Large 3 has 3025% more context capacity (256K vs 8K tokens). Kimi Latest 8k is 60% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Mistral Large 3. Its 256K 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 Kimi Latest 8k. Its 8K 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 8kMistral Large 3
Context window8,192 tokens (8K)256,000 tokens (256K)
Max output tokens8,192 tokens (8K)8,191 tokens (8K)
Speed tierBalancedDeep
VisionYesYes
Function callingYesYes
Extended thinkingNoNo
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 outMistral Large 3 inMistral Large 3 out
Azure——$0.500/M$1.50/M
Mistral——$0.500/M$1.50/M
Moonshot$0.200/M$2.00/M——

Frequently asked questions

Mistral Large 3 has a larger context window: 256K 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.

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