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Whisper Large v3: free via FreeLLMAPI

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

Groq

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

Get this model the moment it changes

Limits move, models get replaced, better ones launch. Premium routers see this page's data live. Free routers see last month's.

Live schalten · $19/yr →

Use it

FreeLLMAPI is a self-hosted router you run yourself. Install it, paste in your free Groq key, and whisper-large-v3 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 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", "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",
    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.