voxtral-small-24b-2507
Voxtral Small builds on Mistral Small 3 with audio input while keeping strong text performance. It is good at speech transcription, translation and audio understanding.
Pricing: Input 24 credits / 1M tokens (≈ $0.12), Output 72 credits / 1M tokens (≈ $0.36).
Prices updated
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Voxtral Small 24B 2507 API on ModelFold
Voxtral Small builds on Mistral Small 3 with audio input while keeping strong text performance. It is good at speech transcription, translation and audio understanding. Try Voxtral Small 24B 2507 in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the Voxtral Small 24B 2507 API
Voxtral Small 24B 2507 at a glance
Voxtral Small 24B 2507 is a chat model from Mistral AI. It accepts text, audio and files (such as PDF) as input and returns text, with a context window of up to 33K tokens.
Use it without hosting anything
On ModelFold you call Voxtral Small 24B 2507 with a single API key — no model weights to download and no inference servers to run. The same key also works for the other chat, image, video and audio models on ModelFold.
Core Capabilities of Voxtral Small 24B 2507
Up to 33K tokens of context
Keep long conversations, large documents and sizeable code in a single request, so the model can reason over the full material instead of fragments.
Understands audio and files (such as PDF)
Besides text, Voxtral Small 24B 2507 accepts audio and files (such as PDF) as input, so a single request can combine instructions with visual or other media.
Function calling
Voxtral Small 24B 2507 supports tool (function) calling: describe your functions in the request and the model returns structured calls your code can run — the basis for agents and integrations.
Structured outputs
Ask for JSON that follows a schema (response_format), which makes extraction, classification and system integrations more reliable.
How to Use Voxtral Small 24B 2507 on ModelFold
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Step 1: Try it in the Playground
Open the Playground at the top of this page, type a prompt and see how Voxtral Small 24B 2507 responds before writing any code.
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Step 2: Create an API key
Sign in to ModelFold and create an API key in the console. Keep it secret and send it as a Bearer token.
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Step 3: Send a request
Call POST https://modelfold.ai/v1/chat/completions with "model": "voxtral-small-24b-2507" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.
- ✓
Step 4: Ship and monitor
Integrate the response into your product and check token usage and spend for every call in the console logs.
What You Can Build with Voxtral Small 24B 2507
Audio and video analysis
Summarize recordings, meetings and video clips, extract key points and answer questions about their content.
Multilingual products
Serve users in many languages with translation, localized support replies and cross-language search.
Tool-calling backends
Route requests, call functions and chain API calls as the worker model inside larger agent systems.
Frequently Asked Questions
What is Voxtral Small 24B 2507?⌄
Voxtral Small builds on Mistral Small 3 with audio input while keeping strong text performance. It is good at speech transcription, translation and audio understanding.
Which inputs does Voxtral Small 24B 2507 support?⌄
Voxtral Small 24B 2507 accepts text, audio and files (such as PDF) and returns text. Through ModelFold you send text messages; documents attached in the Playground are converted to text.
How long is the context window of Voxtral Small 24B 2507?⌄
Up to 33K tokens, shared between your input and the model’s output.
Does Voxtral Small 24B 2507 support function calling?⌄
Yes. Voxtral Small 24B 2507 supports tools / function calling through the standard tools parameter of the chat completions API.
How is Voxtral Small 24B 2507 billed on ModelFold?⌄
Pay as you go by tokens: input and output tokens are charged at the per-million-token prices shown on this page. There is no monthly fee, and failed requests are not charged.
How do I call Voxtral Small 24B 2507 through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "voxtral-small-24b-2507", using your ModelFold API key as the Bearer token.
| Input | 24 credits 1M tokens≈ $0.12 |
| Output | 72 credits 1M tokens≈ $0.36 |
Billed per token: input and output are priced separately, and thinking tokens count as output. The Playground charges exactly the same way.
Read API docs →AI Agents · Claude Code / Cursor / Trae →curl https://modelfold.ai/v1/chat/completions \
-H "Authorization: Bearer $MODELFOLD_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"voxtral-small-24b-2507","messages":[{"role":"user","content":"Hello"}]}'