Whisper Large v3
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openai/whisper-large-v3 · by OpenAI · encoder-decoder-transformer
Pricing — 1 offering(s)
Audio minutes
- $0.0019 / minute Current 2024-10-01 → present
Showing the active price and any recorded history. Full pricing history is available via the paid API — see API docs.
Capability profile
transcription accuracy strong
language support strong
speaker diarisation weak
real time streaming moderate
custom vocabulary weak
Benchmarks
| Benchmark | Score | Config | Source |
|---|---|---|---|
| WER improvement vs large-v2 | — | 10-20% relative error-rate reduction across most languages, per OpenAI's own release notes — no single absolute WER figure published for large-v3 the way whisper-1's large-v2 LibriSpeech numbers are. | source ↗ |
| Throughput (Groq hosting) | 217 x real-time | Groq's current stated throughput figure on their pricing page. An earlier Artificial Analysis benchmark (Groq's own blog, https://groq.com/blog/groq-runs-whisper-large-v3-at-a-164x-speed-factor-according-to-new-artificial-analysis-benchmark) measured 164x — Groq's hosting has been further optimised since. | source ↗ |
Operator guidance
Choose Whisper Large v3 on Groq when cost matters and you want a meaningfully more accurate Whisper checkpoint than OpenAI's own whisper-1 (large-v2). At $0.00185/min it undercuts every other STT option in this registry, including whisper-1 itself. Choose Nova-3 or Universal-2 instead if you need native streaming or diarization: this entry, like whisper-1, is batch/file-upload only.
Use cases
- Cost-sensitive batch transcription at scale — cheapest STT option in this registry
- Higher-accuracy alternative to whisper-1 for the same OpenAI Whisper lineage
- Multilingual and accented-speech transcription where large-v2-based whisper-1 underperforms
Limitations
- No streaming endpoint — batch/file-upload only via Groq's API
- No native speaker diarization
- No custom vocabulary support
- 10-second minimum billing per request