Voxtral Small 24B 2507 APIOPEN WEIGHTS32K context
Voxtral Small is an enhancement of Mistral Small 3, incorporating state-of-the-art audio input capabilities while retaining best-in-class text performance.
Pricing & specs mirror our live pricing as of July 2026 (pay-as-you-go).
What is 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 on the release timeline
Voxtral Small 24B 2507 pricing
Pay-as-you-go on DataLLM Lab — these are our live list prices (identical to the pricing page):
| Model | Input / 1M | Output / 1M | Cache read | Cache write | Context |
|---|---|---|---|---|---|
| Voxtral Small 24B 2507 | $0.10 | $0.30 | $0.01 | — | 32K |
On output price, Voxtral Small 24B 2507 is cheaper than 84% of the 309 models in the catalog.
What Voxtral Small 24B 2507 costs per month
| Workload | Tokens in / out (monthly) | Est. cost |
|---|---|---|
| Support chatbot | 40M / 12M | $7.60 |
| RAG / knowledge base | 200M / 20M | $26.00 |
| Coding agent | 80M / 25M | $15.50 |
| Batch extraction | 150M / 8M | $17.40 |
| Content generation | 20M / 40M | $14.00 |
Estimate your own monthly cost
Cost = input price × input volume + output price × output volume. The same five workloads run on every model page, so any two compare directly.
Voxtral Small 24B 2507 vs alternatives
| Model | Input / 1M | Output / 1M | Context | Our test |
|---|---|---|---|---|
| Voxtral Small 24B 2507 | $0.10 | $0.30 | 32K | — |
| Ministral 3 14B 2512 | $0.20 | $0.20 | 262K | — |
| Mistral Small 3.2 24B | $0.07 | $0.20 | 128K | — |
| Ministral 3 8B 2512 | $0.15 | $0.15 | 262K | — |
| Seed 1.6 Flash | $0.07 | $0.30 | 262K | — |
| Llama 4 Scout | $0.10 | $0.30 | 10M | — |
When not to use Voxtral Small 24B 2507
- It is served by a single provider, so there is less failover headroom during an outage.
Specs
| Model ID | mistralai/voxtral-small-24b-2507 |
| Modality | text+file+audio->text (input: text, audio, file) |
| Context window | 32,000 tokens |
| Tool / function calling | ✅ Yes |
| Structured output (JSON) | ✅ Yes |
| Released | 2025-10-30 |
| Open weights | ✅ mistralai/Voxtral-Small-24B-2507 · 101.5K downloads / 503 likes (30d) |
How to call Voxtral Small 24B 2507
from openai import OpenAI
client = OpenAI(base_url="https://api.datallmlab.com/v1", api_key="YOUR_DATALLM_LAB_KEY")
resp = client.chat.completions.create(
model="mistralai/voxtral-small-24b-2507",
messages=[{"role": "user", "content": "Hello"}],
# supports tools=[...] and tool_choice
)
print(resp.choices[0].message.content)curl https://api.datallmlab.com/v1/chat/completions \
-H "Authorization: Bearer YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"mistralai/voxtral-small-24b-2507","messages":[{"role":"user","content":"Hello"}]}'import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://api.datallmlab.com/v1", apiKey: process.env.DATALLM_KEY });
const r = await client.chat.completions.create({
model: "mistralai/voxtral-small-24b-2507",
messages: [{ role: "user", content: "Hello" }],
});
console.log(r.choices[0].message.content);The same key routes Voxtral Small 24B 2507 and 300+ other models — switch models by changing one string. How OpenAI-compatible APIs work.
Prompting tips for Voxtral Small 24B 2507
- Be explicit and show the shape of the answer. Spell out format, tone and constraints up front, and include one short example of the output you want — Voxtral Small 24B 2507 follows concrete instructions better than abstract ones.
- Give it real tools. Pass a
tools=[...]schema instead of asking it to "pretend" — let Voxtral Small 24B 2507 emit tool calls, execute them, and feed results back for the next turn. - Constrain JSON with a schema. Use
response_format/ structured outputs rather than "reply in JSON" to get valid, parseable objects every time. - Cheap enough to batch. Great for high-volume classification, extraction and drafting — template the prompt, batch requests, and validate outputs programmatically.
Tips are derived from Voxtral Small 24B 2507's actual capabilities — context window, tool & JSON support, modality and price tier — not generic advice.
Open-source tools for Voxtral Small 24B 2507
Popular open-source projects for running and building with Voxtral Small 24B 2507 — star counts pulled from GitHub (July 2026).
Listed by GitHub stars; inclusion is by ecosystem relevance (inference engines, agent frameworks and SDKs), not affiliation. Stars change — see each repo for current numbers.
Migrating to Voxtral Small 24B 2507
Coming from OpenAI or another gateway? On an OpenAI-compatible setup the only changes are base_url → https://api.datallmlab.com/v1 and model → mistralai/voxtral-small-24b-2507. Messages, streaming, tool calls and the rest of your code stay the same. Routing & failover guide.
Self-host or use the API?
Voxtral Small 24B 2507 ships open weights (mistralai/Voxtral-Small-24B-2507, ~101.5K downloads and 503 likes in the last 30 days), so you can run it yourself. Most teams still use the API: no GPU to provision or keep warm, no inference ops, and instant access across 1 providers with automatic failover. Self-host when data residency or fixed per-token economics matter most.
Rate limits & reliability
Rate limits here are the DataLLM Lab gateway's, not the upstream vendor's. On 429 (rate limited) or 503 (provider busy), retry with exponential backoff. See the error-code guide and failover setup.
Related reading
Call Voxtral Small 24B 2507 with one key
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Get an API keyCompare pricingFrequently asked questions
What is 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 accepts text, audio, file input with a 32K-token context window and was released on 2025-10-30. On DataLLM Lab it is callable through one OpenAI-compatible endpoint.
How much does Voxtral Small 24B 2507 cost?
On DataLLM Lab it is $0.10 per 1M input tokens and $0.30 per 1M output tokens, with cached input at $0.01/1M — cheaper than about 84% of the 309-model catalog on output price. Pay-as-you-go, no subscription.
What is the context window of Voxtral Small 24B 2507?
32K tokens.
Is Voxtral Small 24B 2507 open source?
Yes — open weights are published on Hugging Face (mistralai/Voxtral-Small-24B-2507), with about 101.5K downloads and 503 likes in the last 30 days. You can self-host it or call it via DataLLM Lab.
How do I call the Voxtral Small 24B 2507 API?
Point any OpenAI SDK at https://api.datallmlab.com/v1 and set model to "mistralai/voxtral-small-24b-2507". One DataLLM Lab key routes this model and 300+ others; no code changes beyond the base URL and model string.
What are good alternatives to Voxtral Small 24B 2507?
Close options by price and capability include Ministral 3 14B 2512, Mistral Small 3.2 24B, Ministral 3 8B 2512 — all callable with the same DataLLM Lab key.