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Mistral: Mistral Small 3.2 24B API Pricing

Mistral: Mistral Small 3.2 24B costs $0.094 per 1M input tokens and $0.250 per 1M output tokens. Context window: 256K. Prices verified 2026-10-21 · source

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Alternatives to consider

🏠 Same provider
Mistral: Mistral Nemo
$0.029 in / $0.030 out

Cheapest mistralai model — 78% less per month

Price history
2026-08-23 → 2026-10-21 · 59 daily snapshots
inputoutputinput +25.1% over windowoutput +25%

Rebuilt daily from our snapshot archive — the chart appears once a model has 5+ snapshots of history.

Community adoption
200K
HF downloads
638
Likes

High adoption means battle-tested weights, more fine-tunes/quants, and faster bug fixes. View on HuggingFace →

Pricing behavior
6 price changes in the last 59 daily snapshots
Changes roughly every 15 days
Last move (2026-10-16): input +25.1%
Net input drift: +25.1% since 2026-08-23

From our own daily snapshot archive — independent of provider announcements.

Input / 1M tokens
$0.094
Output / 1M tokens
$0.250
Context window
256K
Max output
16K
Knowledge cutoff
2023-10-31

Training data ends here — newer events require retrieval or web search.

What would Mistral: Mistral Small 3.2 24B cost you per month?

WorkloadRequests/moAvg tokens (in/out)Est. monthly cost
Light chatbot10,000800 / 400$1.75
Coding agent5,0008,000 / 2,000$6.25
RAG pipeline30,0004,000 / 500$15.01
Doc summarizer2,00020,000 / 1,000$4.25

Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.

About Mistral: Mistral Small 3.2 24B

Mistral-Small-3.2-24B-Instruct-2506 is an updated 24B parameter model from Mistral optimized for instruction following, repetition reduction, and improved function calling. Compared to the 3.1 release, version 3.2 significantly improves accuracy on...

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Frequently asked questions

How much does Mistral: Mistral Small 3.2 24B cost?

Mistral: Mistral Small 3.2 24B costs $0.094 per 1M input tokens and $0.250 per 1M output tokens. Verified 2026-10-21 — provider source.

What is the context window?

256K tokens, with up to 16K output tokens per response. That's roughly 320 pages of text in a single request.

Does it support prompt caching?

Prompt-caching pricing is not published for this model via OpenRouter.

What's a cheaper alternative?

ScaleDown: Summarize saves about 79% on a typical workload with comparable quality.

Official resources