Mistral: Voxtral Small Transcribe 3 vs OpenAI: GPT Transcribe
A side-by-side comparison of Mistral: Voxtral Small Transcribe 3 ($0.01 / minute) and OpenAI: GPT Transcribe ($0.02 / minute) using current USD prices and capabilities from the api14 catalog. Both run through the same OpenAI-compatible API.
Specifications
| Mistral: Voxtral Small Transcribe 3 | OpenAI: GPT Transcribe | |
|---|---|---|
| Provider | Mistral | OpenAI |
| Audio | $0.01 / minute | $0.02 / minute |
| Context window | 65,536 | - |
| Max output | 52,428 | - |
| Input | audio | audio |
| Output | transcription | transcription |
| Tool calling | ||
| Structured output | ||
| Reasoning control | ||
| Added | Oct 20, 2026 | Aug 5, 2026 |
Key differences
- Mistral: Voxtral Small Transcribe 3 is 11% cheaper on input tokens.
In depth
Mistral: Voxtral Small Transcribe 3 is a transcription model from Mistral, released on 20 October 2026. OpenAI: GPT Transcribe is a transcription model from OpenAI, released on 5 August 2026. Both sit in the same category on api14, so you are choosing between two providers offering the same basic job rather than between two different kinds of tool.
On capabilities the two are close. Both take audio as input and return a transcription as output, and neither exposes any supported parameters, so you will not find tool calling, structured output or reasoning controls on either one. The context window is listed for Voxtral Small Transcribe 3 at 65536 tokens, while the context length for GPT Transcribe is not given, so there is no basis for saying one handles longer audio than the other. The one clear difference in the data is price: Voxtral Small Transcribe 3 is the cheaper option on input, and there is no stated difference on output pricing.
For picking between them, the practical split follows from that. If your workload is high volume transcription where input cost dominates, Voxtral Small Transcribe 3 is the natural default because it is cheaper on input. If you are already standardised on OpenAI models elsewhere in your stack and want to keep provider surface area small, GPT Transcribe is a reasonable choice, and the input price gap is the only thing you are giving up. Because neither model offers parameters, tools or structured output, do not choose either one expecting to steer decoding or get machine readable fields back; plan on post-processing the transcription text yourself.
Calling either model through api14 works the same way. The API is OpenAI compatible, so you send your audio to the same endpoint with the same request shape, and the only thing that changes between the two is the model id. Use "mistralai/voxtral-small-transcribe-3-0" to route to Mistral's model, or "openai/gpt-transcribe" to route to OpenAI's. That makes switching cheap: you can run the same request against both ids and compare the transcripts on your own audio before committing.
There is no case in the facts given where GPT Transcribe is clearly the better pick on capability, since the two match on modalities, parameters and output type, and the context comparison is unresolved. The honest position is that the choice comes down to price and provider preference, with Voxtral Small Transcribe 3 ahead on the one price signal that is stated.
Switch with one string
Both models use the same endpoint and request shape. Change the model value from "mistralai/voxtral-small-transcribe-3-0" to "openai/gpt-transcribe" and prompts, streaming and tools keep working.
import fs from "node:fs";
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api14.com/api/v1",
apiKey: process.env.API14_API_KEY,
});
const result = await client.audio.transcriptions.create({
model: "openai/gpt-transcribe",
file: fs.createReadStream("audio.mp3"),
});
console.log(result.text);
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