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OpenAI: Whisper Large V3 Turbo

openai/whisper-large-v3-turbo

Released May 1, 2026$0.04 per hour

Whisper Large V3 Turbo is an optimized version of OpenAI's Whisper Large V3 speech recognition model, designed for speed and cost efficiency. It supports transcription across 99+ languages with a 12% word error rate, and accepts common audio formats including mp3, mp4, wav, webm, flac, and ogg. Achieves real-time speed factors up to 216x, making it well-suited for latency-sensitive and high-throughput transcription workloads.

Performance for Whisper Large V3 Turbo

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Effective Pricing for Whisper Large V3 Turbo

Actual cost per million tokens across providers over the past hour

Apps using Whisper Large V3 Turbo

Top public apps this month

Recent activity on Whisper Large V3 Turbo

Total usage per day on OpenRouter

Audio Inputs
47

Audio inputs count all speech or sound files processed by the model. Some requests may process multiple inputs.

Uptime stats for Whisper Large V3 Turbo

Uptime stats for Whisper Large V3 Turbo across all providers

Providers for Whisper Large V3 Turbo

OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

Sample code and API for Whisper Large V3 Turbo

OpenRouter normalizes requests and responses across providers for you.

OpenRouter provides a speech-to-text API that transcribes audio into text. Send base64-encoded audio with a model, and receive the transcribed text in JSON.

The generation ID is returned in the X-Generation-Id response header for tracking.

Using third-party SDKs

For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.