Whisper Large v3 Turbo

Whisper Large v3 Turbo is OpenAI's open-weight ASR model optimized for fast inference while retaining the multilingual breadth of the Large v3 family. It supports 99 languages out of the box, automatically detecting the spoken language when none is specified, and can either transcribe (output text in the source language) or translate (output English regardless of input). It is the most cost-efficient way to add global multilingual speech recognition to a product.

Deployed on the CallMissed gateway, it accepts base64-encoded audio in standard formats (MP3, WAV, FLAC) and returns structured JSON with the transcription text plus optional VTT-formatted segments for subtitle workflows. The Turbo variant uses a smaller decoder than Large v3, achieving ~8× faster inference with only minor accuracy loss on most languages.

At $0.06 per audio hour, it is roughly 9× cheaper than Sarvam Saaras for use cases that don't need Indian-language code-mixing. Pair it with one of our LLMs for end-to-end speech-to-insight workflows: meeting summarization, podcast indexing, accessibility captions, or compliance archiving.