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Mistral AI
mistralai/voxtral-small-24b-2507Catalogue: Indexed in the reference catalogue; nothing on this deployment answers as this model yet.
Published by the vendor; the platform bills at the target's declared price.
Mistral AI mistralai/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...
Voxtral Small 24B 2507 earns a request when it needs tool calls, audio and file input, running on your own hardware; a short, general request would go to Nemotron 3.5 Super VL (free) instead - free per million input tokens against $0.10 here; and the hardest requests, where the quality floor rules it out, to Claude Opus 5.5 (batch). Your rules decide the floor; the trace shows the comparison for every request.
Lower input price and an intelligence index within 5 points (this model has no published index).
Nothing on this deployment answers as this model yet. Connect your own provider under Model providers, or add a target to your catalogue - the router picks it up without retraining.
# targets.yaml - declare a target that runs Voxtral Small 24B 2507
targets:
- id: voxtral-small-24b-2507
kind: llm
name: Voxtral Small 24B 2507
metadata:
model: mistralai/voxtral-small-24b-2507 # links the target to this catalogue entry
capabilities:
domains: [general]
supports_tools: true
context_window: 32768
cost:
usd_per_1k_tokens: 0.000200Input list price per million tokens; Voxtral Small 24B 2507 is the 2nd cheapest of 13 listed.
Photo: RDNE Stock project
Cached input reads $0.01 per 1M · weights on Hugging Face as mistralai/Voxtral-Small-24B-2507
A higher intelligence index, best first, with the price it comes at.
Other models by the same vendor in the catalogue.
The catalogue prints input and output prices and what three typical monthly workloads cost on each.