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Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.
- Whisper Large V3OpenAIRemove
| Attribute | Whisper Large V3whisper-large-v3 |
|---|---|
| Pricing | |
| Input | $9.25 / 1M |
| Output | $0 / 1M |
| Cache Write (5m) | Not applicable |
| Cache Write (1h) | Not applicable |
| Cache Read | Not applicable |
| Web Search | $0 / 1M |
| Context | |
| Max context | N/A |
| Max output | N/A |
| Capabilities | |
| Vision | No |
| Function Calling | No |
| JSON Mode | Yes |
| Streaming | No |
| Catalogue | |
| Provider | OpenAI |
| Category | voice |
| Charge type | Pay As You Go |
| Released | — |
| Description | |
| Summary | Whisper Large V3 is OpenAI's advanced open-source automatic speech recognition (ASR) model, supporting both audio transcription and translation across 99+ languages. It accepts common audio formats including mp3, mp4, wav, webm, flac, and ogg, and delivers strong performance in noisy, real-world conditions. With 1.55B parameters and a low 10.3% word error rate, it provides accurate, multilingual transcription with support for word- and segment-level timestamps, making it well suited for high-quality, noise-robust speech processing applications. |