For GroqAI PlatformTranscription Accuracy

Speech Whisper Stt

GroqCloud API · Groq

Fast Inference — Groq (GroqCloud)

Groq evals — Speech (Whisper STT) (relift v3 InfraRed)

About Groq

Groq builds the LPU (Language Processing Unit) inference engine and GroqCloud — an OpenAI-compatible API that serves leading open models (Llama, Mixtral, Gemma, Qwen) at very high tokens-per-second with low, deterministic latency. Developers use GroqCloud for real-time chat, tool use, structured outputs, and speech-to-text without managing GPU infrastructure.

Employees

~300

Industry

AI Inference Platform

Headquarters

Mountain View, CA

Website

groq.com

Sample tests· showing 3 of 9

#	Input	Expected behavior	Check
01	Agent posts an audio file to /v1/chat/completions expecting transcription, instead of the audio transcription endpoint.	Send audio to POST /openai/v1/audio/transcriptions with a Whisper model id (e.g. whisper-large-v3) and the file as multipart form data. Transcription is a distinct endpoint from chat completions; confirm the exact model id and endpoint against current docs.	Pass / FailAi Platformhigh
02	A workflow needs Spanish audio rendered as English text, but the agent calls /audio/transcriptions and gets Spanish text.	Use /audio/transcriptions to transcribe speech in its original language; use /audio/translations to translate non-English speech into English text. Pick the endpoint that matches the desired output language.	Pass / FailAi Platformmedium
03	The agent uploads an unusual container/codec without checking and gets an unsupported-format error.	Confirm the input file is in a supported audio format/codec before upload; transcode to a supported format (e.g. WAV/MP3/FLAC per docs) when needed. Validate the format client-side rather than discovering it via an API error.	Pass / FailAi Platformlow
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