ElevenLabs: Scribe v2 Medical vs Fish Audio: Transcribe 1 Pro
A side-by-side comparison of ElevenLabs: Scribe v2 Medical ($0.01 / minute) and Fish Audio: Transcribe 1 Pro ($0.02 / minute) using current USD prices and capabilities from the api14 catalog. Both run through the same OpenAI-compatible API.
Specifications
| ElevenLabs: Scribe v2 Medical | Fish Audio: Transcribe 1 Pro | |
|---|---|---|
| Provider | ElevenLabs | Fish Audio |
| Audio | $0.01 / minute | $0.02 / minute |
| Context window | - | - |
| Max output | - | - |
| Input | audio | audio |
| Output | transcription | transcription |
| Tool calling | ||
| Structured output | ||
| Reasoning control | ||
| Added | Oct 7, 2026 | Sep 24, 2026 |
Key differences
- ElevenLabs: Scribe v2 Medical is 39% cheaper on input tokens.
In depth
ElevenLabs: Scribe v2 Medical is a transcription model from ElevenLabs, released on October 7, 2026. Fish Audio: Transcribe 1 Pro is a transcription model from Fish Audio, released on September 24, 2026. Both sit in the same category on api14, so you are choosing between two speech-to-text systems rather than between a transcriber and some other kind of model. Neither is a general chat or reasoning model, and neither is positioned as a multimodal assistant. They take audio in and give transcription out.
The two models are close in shape. Both accept audio as their only input modality and both return transcription as their only output modality. Neither lists a context length in tokens, so there is no published context window figure to compare, and neither exposes supported parameters, so you cannot tune sampling or decoding options through the API for either one. The qualitative differences are also thin. The only field that separates them is input price, where Scribe v2 Medical is the cheaper of the two. Output pricing is about the same, and there is no difference recorded for context size, tool use, structured output or reasoning. In practice this means the decision rests on price and on which provider's transcription behaviour you prefer, not on a feature checklist.
For a developer picking between them, the practical split is straightforward. If you are transcribing large volumes of audio and cost per input unit matters, Scribe v2 Medical is the cheaper option and is the natural default for batch jobs, long recordings, call archives or any pipeline where you pay for a lot of audio minutes. Fish Audio: Transcribe 1 Pro is the alternative when you specifically want Fish Audio's transcription output, for example if you have already validated its accuracy on your domain audio or you are standardising on Fish Audio elsewhere in your stack. Since output pricing is about the same and no capability differences are listed, there is no strong technical reason to prefer one over the other beyond price and provider familiarity.
Calling either model through api14 works the same way, because the gateway exposes an OpenAI-compatible API. You send your audio to the transcription endpoint with the usual request shape, and the only thing that changes between the two is the model id. Use "elevenlabs/scribe-v2-medical" for the ElevenLabs model and "fish-audio/transcribe-1-pro" for the Fish Audio model. Everything else in your client, your authentication, your retry logic and your response parsing stays identical, so switching is a one-line change and you can A/B the two on your own audio without rewriting integration code.
There is one case where the more expensive model is still the better pick. If you have already tuned prompts, post-processing or downstream logic around Fish Audio output, or if your evaluation set shows Transcribe 1 Pro handling your particular audio better, the small input price gap may not be worth a migration. Because no other differentiators are listed, that decision is yours to make on your own data rather than something the model metadata can settle.
Switch with one string
Both models use the same endpoint and request shape. Change the model value from "elevenlabs/scribe-v2-medical" to "fish-audio/transcribe-1-pro" 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: "fish-audio/transcribe-1-pro",
file: fs.createReadStream("audio.mp3"),
});
console.log(result.text);
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