Last refreshed 2026-10-20. Next refresh: weekly.
Why use Voxtral Small Transcribe 3 on Vercel AI Gateway?
Vercel AI Gateway offers Voxtral Small Transcribe 3. Vercel AI Gateway is a unified AI proxy providing a single OpenAI-compatible API endpoint to 275+ models from 25+ providers including Anthropic, OpenAI, Google, Meta, Mistral, DeepSeek, xAI, Alibaba, Amazon, ByteDance, Cohere, MiniMax, MoonshotAI, KwaiPilot, Black Forest Labs, Recraft, Voyage AI, NVIDIA, and more.
Compare Voxtral Small Transcribe 3 across 2 providers to find the best fit for your use caseSetup recipe
Python + curlpip install openaiexport AI_GATEWAY_API_KEY=...import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["AI_GATEWAY_API_KEY"],mistral/voxtral-small-transcribe-3Request example
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["AI_GATEWAY_API_KEY"],
base_url="https://ai-gateway.vercel.sh/v1"
)
response = client.chat.completions.create(
model="mistral/voxtral-small-transcribe-3",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Gotchas
- Use provider model ID "mistral/voxtral-small-transcribe-3", not the LLMReference slug "voxtral-small-transcribe-3".
- creator/model-name e.g. kwaipilot/kat-coder-pro-v2
- The examples expect AI_GATEWAY_API_KEY; rename it only if your application config maps the new variable.
Compare Voxtral Small Transcribe 3 Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Mistral AI Studio | — | — |
| Vercel AI Gateway | — | — |
Capabilities
About Voxtral Small Transcribe 3
Voxtral Small Transcribe 3 is Mistral AI's flagship speech-to-text model in the Voxtral 3 family, released October 20, 2026 as a Public Preview on the Mistral API. It transcribes more than 50 languages, including the 24 official EU languages, with speaker diarization, end-of-turn detection and context biasing, and also supports translation, spoken Q&A, summarization and function calling over audio. Mistral reports state-of-the-art FLEURS and diarization results against Whisper large-v3, Scribe v2, GPT Transcribe and Gemini 3.5 Transcribe. It has a 32k context and costs $0.004 per audio minute; weights are not published.