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Whisper @ Groq · Groq

Whisper Large v3 running on Groq LPU hardware. Near real-time transcription for short audio. Up to 10× faster than standard Whisper.

10× Whisper speed Groq hardware Real-time

Try it free

Cost: 10 tokens per minute of audio. Charged upfront (1 minute minimum).

About Whisper @ Groq

Whisper Large v3 running on Groq LPU hardware. Near real-time transcription for short audio. Up to 10× faster than standard Whisper.

Where it shines: 10× Whisper speed · Groq hardware · Real-time.

How to use Whisper @ Groq

  1. 1

    Paste the audio URL

    Paste a direct link to an MP3, WAV, MP4 or any audio/video hosted publicly. Supports several hours.

  2. 2

    Generate

    Click transcribe. The model processes the audio in 30–90 seconds depending on length.

  3. 3

    Download or share

    Download the result or share the direct link. No watermark, ready to use.

Frequently asked questions

How much does it cost to use Whisper @ Groq?

Whisper @ Groq is one of the free models in the catalog, each use discounts 10 tokens from your pool, but open models like Whisper @ Groq don’t cost us, so the rate-limit is generous. A free account comes with 500 initial tokens and 25 more every day — you usually don’t get to touch the card.

Is there a usage limit for Whisper @ Groq?

There is no fixed monthly fee for Whisper @ Groq on the free account — the actual limit is the rate per minute/hour, not per month. Anonymous are limited by IP; with account you can do much more volume, if you reach 500+25 tokens and need more, a Pro plan at $9/month covers it.

What makes Whisper @ Groq special?

Groq runs open models on its proprietary LPU chip — up to 10× the traditional inference speed.Groq’s specific strengths are: 10× whisper speed, groq hardware, and real-time.

How long does Whisper @ Groq take to transcribe?

Whisper @ Groq is one of the faster models: typically ~1/10 of the audio time per generation, but noisey or multilingual audios may take a little longer.

How do I use Whisper @ Groq in ia.gratis?

You can use Whisper @ Groq from /audio/transcribe/ by uploading the file. The REST API accepts multipart uploads in POST /api/tools/stt/. Quick summary: whisper on Groq chip. Beast latency. The internal model identifier is `groq-whisper` — useful when integrating via API.