Whisper Large v3 API

Python

from openai import OpenAI

client = OpenAI(api_key="YOUR_API_KEY", base_url="https://api.fastinfra.ai/v1")

response = client.chat.completions.create(
    model="openai/whisper-large-v3",
    messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)

curl

curl https://api.fastinfra.ai/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/whisper-large-v3",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

How much does the openai/whisper-large-v3 API cost?

On FastInfra, openai/whisper-large-v3 costs $0.2835/1M input, $0.8925/1M output tokens. Billing is per token used, with no subscription.

Is openai/whisper-large-v3 compatible with the OpenAI SDK?

Yes. FastInfra exposes openai/whisper-large-v3 through an OpenAI-compatible endpoint at https://api.fastinfra.ai/v1 — point any OpenAI SDK at that base URL with a FastInfra API key and keep your existing code.

How does routing work for openai/whisper-large-v3?

openai/whisper-large-v3 is available on 2 route(s): route-03, route-21. Requests use route-03 by default (lowest cost). FastInfra fails over automatically if a route is unavailable.