Side by side
See the difference.
Scores, capabilities and costs for the models you’re considering.
Scroll to compare models →
| 3 models | nvidiaNemotron-3-DiarizationRemove × | kreaKrea 3 EditRemove × | openaiwhisper-large-v3-turboRemove × |
|---|---|---|---|
| What’s different | Nemotron 3 Diarization is an open-weight streaming Sortformer model, engineered for low-latency speaker diarization across up to 8 speakers, ordered by arrival time. It powers meeting transcription, call… | Edits and combines reference images using text instructions, with optional prompt expansion, output-size controls, and reproducible generation through a seed. | Whisper is a state-of-the-art model for automatic speech recognition (ASR) and speech translation, proposed in the paper "Robust Speech Recognition via Large-Scale Weak Supervision" by Alec Radford et al.… |
| Date | Sep 25, 2026Listed | Oct 14, 2026Listed | Oct 2, 2024Listed |
API prices USD · provider configuration shown below | |||
| Listed rate | $0.00001/ secondDeepInfra · all routes ↗Input audio second | $0.025/ megapixelfal · all routes ↗Output + reference images | $3.33 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ |
| Provider endpoints | 1 endpoint → | 1 endpoint → | 3 endpoints → |
Benchmarks Each result retains its evaluation configuration | |||
| AMI-Cleaned WER ↗English short-form; normalization unversioned | Not reported | Not reported | 13.88% WER ↗openai/whisper-large-v3-turboLeaderboard entry |
| Earnings22-Cleaned-AA-chunked WER ↗English short-form; normalization unversioned | Not reported | Not reported | 8.09% WER ↗openai/whisper-large-v3-turboLeaderboard entry |
| Gigaspeech-Cleaned WER ↗English short-form; normalization unversioned | Not reported | Not reported | 8.47% WER ↗openai/whisper-large-v3-turboLeaderboard entry |
| LS Clean WER ↗English short-form; normalization unversioned | Not reported | Not reported | 2.13% WER ↗openai/whisper-large-v3-turboLeaderboard entry |
| LS Other WER ↗English short-form; normalization unversioned | Not reported | Not reported | 3.71% WER ↗openai/whisper-large-v3-turboLeaderboard entry |
| SPGISpeech WER ↗English short-form; normalization unversioned | Not reported | Not reported | 2.79% WER ↗openai/whisper-large-v3-turboLeaderboard entry |
| URGENT2024 WER ↗English short-form; normalization unversioned | Not reported | Not reported | 13.69% WER ↗openai/whisper-large-v3-turboLeaderboard entry |
| Voice Arena Monsoon WER ↗English short-form; normalization unversioned | Not reported | Not reported | 4.77% WER ↗openai/whisper-large-v3-turboLeaderboard entry |
| Voxpopuli-AA-Cleaned WER ↗English short-form; normalization unversioned | Not reported | Not reported | 7.02% WER ↗openai/whisper-large-v3-turboLeaderboard entry |
Specifications | |||
| Context window | — | — | — |
| Max output | — | — | — |
| Parameters | — | — | — |
| Audio input | Not reported | Not reported | Supported |
| Transcription | Not reported | Not reported | Supported |
| Open weights | Not reported | Not reported | Supported |