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Whisper Large v3 Turbo: free via FreeLLMAPI

Whisper Large v3 Turbo: served free by 1 provider, up to ? context. Live limits, quirks, and quota on freellmapi.co.

Groq

whisper-large-v3-turbo
Free budget~6M
Requests / min30 RPM
Requests / day1K RPD
Tokens / min70K TPM

Cloudflare Workers AI

@cf/openai/whisper-large-v3-turbo
Free budgetWorkers AI free allocation
Rate limitsnot published

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Use it

FreeLLMAPI is a self-hosted router you run yourself. Install it, paste in your free Groq key, and whisper-large-v3-turbo answers on an OpenAI-compatible endpoint at http://localhost:3001/v1. No credit card, no hosted middleman: your prompts and your provider keys never leave your machine.

Install the router (macOS, Linux, WSL)
curl -fsSL https://freellmapi.co/install.sh | bash
Install the router (Windows PowerShell)
iwr -useb https://freellmapi.co/install.ps1 | iex
Call whisper-large-v3-turbo with curl
curl http://localhost:3001/v1/audio/speech \
  -H "Authorization: Bearer freellmapi-your-unified-key" \
  -H "Content-Type: application/json" \
  -d '{"model": "whisper-large-v3-turbo", "input": "Hello from FreeLLMAPI."}' \
  --output speech.mp3
The same request in Python (openai)
from openai import OpenAI

client = OpenAI(
    base_url="http://localhost:3001/v1",
    api_key="freellmapi-your-unified-key",
)

with client.audio.speech.with_streaming_response.create(
    model="whisper-large-v3-turbo",
    input="Hello from FreeLLMAPI.",
) as resp:
    resp.stream_to_file("speech.mp3")

The router answers on /v1/audio/speech and every other OpenAI surface, plus the Anthropic Messages API, so existing clients need only a new base_url. Swap the model id for auto and the router picks the best free model that is still under its limits. Full reference: docs/api.md.