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OpenAI: Whisper Large V3

openai/whisper-large-v3

Released May 1, 2026$0.111 per hour

Whisper Large V3 is OpenAI's open-source automatic speech recognition model offering both audio transcription and translation. It supports 99+ languages and accepts common audio formats including mp3, mp4, wav, webm, flac, and ogg. With 1,550M parameters, it achieves a 10.3% word error rate and is well-suited for noise-robust, multilingual transcription in demanding conditions. Supports timestamp granularities at word and segment levels.

Performance for Whisper Large V3

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Effective Pricing for Whisper Large V3

Actual cost per million tokens across providers over the past hour

Apps using Whisper Large V3

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Recent activity on Whisper Large V3

Total usage per day on OpenRouter

Audio Inputs
336

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

Uptime stats for Whisper Large V3

Uptime stats for Whisper Large V3 across all providers

Providers for Whisper Large V3

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

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.