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openai

Whisper

Vendor key
Try in Playground

Whisper is a general-purpose speech recognition model, trained on a large dataset of diverse audio. It is a multitask model that handles multilingual speech recognition, translation and language identification. It serves the transcription and translation endpoints of the Audio API, and it is the one transcription model that takes audio alone, with no text prompt.

The real OpenAI model

Same weights, same API, same answers. We change only how you pay for it: one key for every maker, one bill, no separate account to open. Every figure on this page comes from OpenAI’s own page — check it.

Maker's own page

Price

per minute

Input

Output

$0.00

$0.006

Modalities

Where this model runs

openai
OpenAI

Similar models

Models built for the same kind of work, at a similar price.

openai
openai/gpt-transcribe$0.00 / $0.0045

We do not mark up the price of tokens. It is the same price the provider charges. We earn on the top-up fee.

Use it from your code

Model:openai/whisper-1
main.py
OpenAI Specification v1.0
from openai import OpenAI

# Works with the official openai package (pip install openai)
client = OpenAI(
    base_url="https://api.flintbeam.com/v1",
    api_key="sk-live-your-api-key"
)

response = client.chat.completions.create(
    model="openai/whisper-1",
    messages=[
        {"role": "system", "content": "You are an experienced software engineer."},
        {"role": "user", "content": "Describe the architecture of a distributed cache."}
    ],
    temperature=0.7,
    max_tokens=1500
)

print(response.choices[0].message.content)