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FireworksReleased on Nov 1, 2024

Whisper V3 Turbo: Pricing, Performance & Examples

Whisper V3 Turbo is a speech-to-text model from Fireworks, released in November 2024.

Fastest Whisper V3 variant

Input
Audio
Output
Text

Whisper V3 Turbo API

POST/v1/stt/transcribe

Any audio format up to 25 MB.

Missing Audio file

Run a request to see the response

Use it in your code

OpenAI-compatible endpoint through the LLM Stats gateway.

import requests

with open("audio.mp3", "rb") as f:
    response = requests.post(
        "https://gateway.llm-stats.com/v1/stt/transcribe",
        headers={"Authorization": "Bearer YOUR_API_KEY"},
        files={"file": f},
        data={"model_id": "whisper-v3-turbo"},
    )

print(response.json()["text"])

Need an API key? Create one above in the playground, or read the API documentation.

Whisper V3 Turbo latency

Whisper V3 Turbo time to first token, sustained output throughput, and failed-request rate from live API traffic over the trailing 7 days.

Whisper V3 Turbo license

Whisper V3 Turbo is released under the MIT license, which permits commercial use.

License
MIT
Commercial use allowed

MIT License - allows commercial use

FAQ

Common questions about Whisper V3 Turbo.

Who created Whisper V3 Turbo?

Whisper V3 Turbo was created by Fireworks.

What is the license for Whisper V3 Turbo?

Whisper V3 Turbo is released under the MIT license. This is an open-source / open-weight license that permits self-hosting.

Is Whisper V3 Turbo multimodal?

Yes, Whisper V3 Turbo is multimodal and can accept both text and images as input.

Where can I use Whisper V3 Turbo?

Whisper V3 Turbo is available through 1 provider including Fireworks.