# Whisper Large v3 Turbo

> Speech-to-text. 228x realtime inference. Transcripts with timestamps + language detect.

Human version: https://kymaapi.com/models/whisper-v3-turbo
Live JSON: `GET https://kymaapi.com/v1/models` (no auth required)

## Facts

- **Model ID**: `whisper-v3-turbo` — pass this as `model` in the request body
- **Creator**: OpenAI
- **Released**: 2024-10-01
- **Price**: $0.0009 / minute
- **Alias**: `transcribe` resolves to this model

## Call it

```bash
curl https://kymaapi.com/v1/audio/speech \
  -H "Authorization: Bearer $KYMA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "whisper-v3-turbo", "prompt": "..."}'
```

## Positioning

Whisper Large v3 Turbo is a fast, cost-efficient speech-to-text model optimized for real-time transcription and voice agent pipelines. Reach for it when you need accurate audio-to-text conversion with low latency and automatic language detection.

## About

This model converts audio input into text transcripts, operating at 228x real-time speed. It automatically detects the spoken language and returns transcripts with precise timestamps. The architecture is tuned for strong accuracy while maintaining a cheap cost tier.

On Kyma, it runs through an OpenAI-compatible endpoint with automatic request failover. If a serving path degrades, traffic reroutes transparently. The model supports prompt caching, which bills repeated prefixes at 10% of the standard input rate. Usage metadata, including exact request cost and the resolved model ID, is returned in the response headers and JSON payload.

The model accepts audio input and outputs plain text. It does not support vision, structured outputs, or reasoning tasks. The context window caps at 3,600 tokens, making it suitable for standard-length audio clips rather than multi-hour continuous streams without chunking.

## Use cases

- **Live Meeting Transcription** — Converts conference audio into timestamped text for searchable meeting notes.
- **Voice Agent Pipelines** — Feeds real-time speech recognition into conversational AI workflows with minimal latency.
- **Automated Caption Generation** — Produces synchronized subtitles for video content with automatic language detection.
- **Audio Content Indexing** — Transforms podcast and interview recordings into searchable text archives.

## Not ideal for

Do not use this model for multi-hour continuous audio streams without manual chunking, as the 3,600-token context window will truncate longer inputs.

## Pick something else when

- You need structured JSON output, or reasoning over the audio rather than a plain transcript → `gpt-4o-mini-transcribe-2025-12-15`

## See also

- All models: https://kymaapi.com/models.md
- Pricing: https://kymaapi.com/pricing.md
- Other models by OpenAI: https://kymaapi.com/models?q=OpenAI