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Mistral: Voxtral Small 24B 2507 API Pricing

Mistral: Voxtral Small 24B 2507 costs $0.100 per 1M input tokens and $0.300 per 1M output tokens (cache reads: $0.010). Context window: 33K. 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 — 80% less per month

Price history
2026-08-23 → 2026-10-21 · 59 daily snapshots
inputoutput

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

Community adoption
20K
HF downloads
545
Likes

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

Pricing behavior
Stable — no price moves across our 59 daily snapshots (2026-08-23 → 2026-10-21).

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

Input / 1M tokens
$0.100
Output / 1M tokens
$0.300
Context window
33K
Max output
26K

Token economics

Token typePricevs base input
Standard input$0.100—
Cache read$0.010−90%
Output$0.300—

Prompt caching stores repeated context server-side: reads cost far less, but writes carry a one-time premium.

What would Mistral: Voxtral Small 24B 2507 cost you per month?

WorkloadRequests/moAvg tokens (in/out)Est. monthly cost
Light chatbot10,000800 / 400$2.00
Coding agent5,0008,000 / 2,000$7.00
RAG pipeline30,0004,000 / 500$16.50
Doc summarizer2,00020,000 / 1,000$4.60

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

About Mistral: Voxtral Small 24B 2507

Voxtral Small is an enhancement of Mistral Small 3, incorporating state-of-the-art audio input capabilities while retaining best-in-class text performance. It excels at speech transcription, translation and audio understanding. Input audio...

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Frequently asked questions

How much does Mistral: Voxtral Small 24B 2507 cost?

Mistral: Voxtral Small 24B 2507 costs $0.100 per 1M input tokens and $0.300 per 1M output tokens; cached input tokens cost $0.010 per 1M. Verified 2026-10-21 — provider source.

What is the context window?

33K tokens, with up to 26K output tokens per response. That's roughly 41 pages of text in a single request.

Does it support prompt caching?

Yes — cached input is $0.010/1M, about 90% cheaper than standard input. Agents and RAG workloads with repeated context benefit most.

What's a cheaper alternative?

ScaleDown: Summarize saves about 82% on a typical workload with comparable quality.

Official resources