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Models / Mistral / Voxtral Small 24B 2507

Voxtral Small 24B 2507 APIOPEN WEIGHTS32K context

by Mistral · text+file+audio->text · released 2025-10-30

Voxtral Small is an enhancement of Mistral Small 3, incorporating state-of-the-art audio input capabilities while retaining best-in-class text performance.

Get an API key Try in Chat https://api.datallmlab.com/v1
Input / 1M
$0.10
Output / 1M
$0.30
Context
32K
Providers
1
HF downloads · 30d
101.5K
Cheaper than
84% of catalog

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

$0.08$0.77$7.50Voxtral Small 24B 2507 · $0.302024-112025-102026-04
Each point is a Mistral model, placed at its launch date with its current output price (log scale, $/1M). Bubble size ∝ context window; Voxtral Small 24B 2507 is highlighted. Source: provider catalog, verified July 2026.

Voxtral Small 24B 2507 pricing

Pay-as-you-go on DataLLM Lab — these are our live list prices (identical to the pricing page):

ModelInput / 1MOutput / 1MCache readCache writeContext
Voxtral Small 24B 2507$0.10$0.30$0.0132K

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

WorkloadTokens in / out (monthly)Est. cost
Support chatbot40M / 12M$7.60
RAG / knowledge base200M / 20M$26.00
Coding agent80M / 25M$15.50
Batch extraction150M / 8M$17.40
Content generation20M / 40M$14.00

Estimate your own monthly cost

= input × $0.10 + output × $0.30 per 1M · pay-as-you-go, computed in your browser.

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

Pick Voxtral Small 24B 2507 when you want open weights you can also self-host. If price is the only priority, Ministral 3 8B 2512 is cheaper per token.
ModelInput / 1MOutput / 1MContextOur test
Voxtral Small 24B 2507$0.10$0.3032K
Ministral 3 14B 2512$0.20$0.20262K
Mistral Small 3.2 24B$0.07$0.20128K
Ministral 3 8B 2512$0.15$0.15262K
Seed 1.6 Flash$0.07$0.30262K
Llama 4 Scout$0.10$0.3010M

When not to use Voxtral Small 24B 2507

Specs

Model IDmistralai/voxtral-small-24b-2507
Modalitytext+file+audio->text (input: text, audio, file)
Context window32,000 tokens
Tool / function calling✅ Yes
Structured output (JSON)✅ Yes
Released2025-10-30
Open weightsmistralai/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

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).

ollama/ollama★ 175.3K
Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
Go
langgenius/dify★ 147.5K
Production-ready platform for agentic workflow development.
TypeScript
open-webui/open-webui★ 144.0K
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Python
langchain-ai/langchain★ 140.8K
The agent engineering platform.
Python
ggml-org/llama.cpp★ 119.1K
LLM inference in C/C++
C++
vllm-project/vllm★ 85.2K
A high-throughput and memory-efficient inference and serving engine for LLMs
Python

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

Best Open Source LLMs
DataLLM Lab Blog
How OpenAI-Compatible APIs Work
DataLLM Lab Blog
We Benchmarked LLM Coding Cost & Quality
DataLLM Lab Blog

Call Voxtral Small 24B 2507 with one key

300+ models behind one OpenAI-compatible endpoint — better prices, better uptime, no subscriptions.

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Frequently 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.