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| 2 models | fish-audioFish Audio: S2.1 ProRemove × | openaiwhisper-large-v3-turboRemove × |
|---|---|---|
| What’s different | S2.1 Pro is a production-oriented text-to-speech model from Fish Audio. It is suited for multilingual voice applications, expressive narration, and dialogue synthesis, with open-ended natural-language… | 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 | Jul 29, 2026Listed | Oct 2, 2024Listed |
API prices USD · provider configuration shown below | ||
| Listed rate | See provider quotes | $3.33 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ |
| Provider endpoints | 0 endpoints → | 3 endpoints → |
Benchmarks Each result retains its evaluation configuration | ||
| AMI-Cleaned WER ↗English short-form; normalization unversioned | Not reported | 13.88% WER ↗openai/whisper-large-v3-turboLeaderboard entry |
| Earnings22-Cleaned-AA-chunked WER ↗English short-form; normalization unversioned | Not reported | 8.09% WER ↗openai/whisper-large-v3-turboLeaderboard entry |
| Gigaspeech-Cleaned WER ↗English short-form; normalization unversioned | Not reported | 8.47% WER ↗openai/whisper-large-v3-turboLeaderboard entry |
| LS Clean WER ↗English short-form; normalization unversioned | Not reported | 2.13% WER ↗openai/whisper-large-v3-turboLeaderboard entry |
| LS Other WER ↗English short-form; normalization unversioned | Not reported | 3.71% WER ↗openai/whisper-large-v3-turboLeaderboard entry |
| SPGISpeech WER ↗English short-form; normalization unversioned | Not reported | 2.79% WER ↗openai/whisper-large-v3-turboLeaderboard entry |
| URGENT2024 WER ↗English short-form; normalization unversioned | Not reported | 13.69% WER ↗openai/whisper-large-v3-turboLeaderboard entry |
| Voice Arena Monsoon WER ↗English short-form; normalization unversioned | Not reported | 4.77% WER ↗openai/whisper-large-v3-turboLeaderboard entry |
| Voxpopuli-AA-Cleaned WER ↗English short-form; normalization unversioned | Not reported | 7.02% WER ↗openai/whisper-large-v3-turboLeaderboard entry |
Specifications | ||
| Context window | — | — |
| Max output | — | — |
| Parameters | — | — |
| Audio input | Not reported | Supported |
| Transcription | Not reported | Supported |
| Open weights | Not reported | Supported |