Mistral
Mistral
MultimodalAUTO PROFILELIVE PRICING

Voxtral Small 24B 2507

text+file+audio->text

Voxtral Small 24B 2507 is a compact variant, chosen for high throughput and low cost rather than absolute capability. Available via Mistral. 32,768-token context. Budget pricing.

Voxtral Small 24B 2507 is a multimodal AI model from Mistral. It costs $0.100 per million input tokens and $0.300 per million output tokens (blended $0.160/M), with a 32,768-token context window.

INPUT
$0.100/M
per million input tokens
OUTPUT
$0.300/M
per million output tokens
BLENDED 70/30
$0.160/M
unchanged since 3 May
CONTEXT
32,768
tokens
What it is good at
  • Sub-second latency
  • Affordable at scale
  • Good for routing & classification
  • Multimodal: handles images alongside text
Typical use cases
  • Routing & classification
  • Bulk summarisation
  • Realtime chat UX

Benchmarks

No published benchmark scores tracked for this model yet. Frontier and reasoning models from major providers have scores; smaller models and inference-host variants typically inherit the underlying open-weights score.

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Frequently asked questions

How much does Voxtral Small 24B 2507 cost?

Voxtral Small 24B 2507 costs $0.100 per million input tokens and $0.300 per million output tokens, for a blended reference rate of $0.160 per million tokens.

What is Voxtral Small 24B 2507's context window?

Voxtral Small 24B 2507 supports up to 32,768 tokens of context in a single request.

What is Voxtral Small 24B 2507 best for?

Voxtral Small 24B 2507 is well suited to Sub-second latency, Affordable at scale and Good for routing & classification.

Who makes Voxtral Small 24B 2507?

Voxtral Small 24B 2507 is developed and served by Mistral.

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