Context Window

Compare

Gpt 5 2 Chat Latest vs Mistral Small 3.1 24B

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.

Openai

Model

Gpt 5 2 Chat Latest

Image inputTool calling

Context window

128K

128,000 tokens · ~96K words

Model page
Mistral

Model

Mistral Small 3.1 24B

Image input

Context window

131K

131,072 tokens · ~98K 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.

Gpt 5 2 Chat Latest128K
Mistral Small 3.1 24B131K

Mistral Small 3.1 24B has about 1× the context window of the other in this pair.

Token calculator →Memory savings →

Mistral Small 3.1 24B has 2% more context capacity (131K vs 128K tokens).

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Mistral Small 3.1 24B. Its 131K context fits entire documents without chunking (vs 128K).

  • Long output (reports, code files)

    Use Mistral Small 3.1 24B. Its 131K 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.

SpecGpt 5 2 Chat LatestMistral Small 3.1 24B
Context window128,000 tokens (128K)131,072 tokens (131K)
Max output tokens16,384 tokens (16K)131,072 tokens (131K)
Speed tierBalancedBalanced
VisionYesYes
Function callingYesNo
Extended thinkingYesNo
Prompt cachingYesYes
Batch APINoNo
Release dateN/AMar 2025

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.

ProviderGpt 5 2 Chat Latest inGpt 5 2 Chat Latest outMistral Small 3.1 24B inMistral Small 3.1 24B out
Openai$1.75/M$14.00/M——

Frequently asked questions

Mistral Small 3.1 24B has a larger context window: 131K tokens vs 128K. 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