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| 2 models | HojoAIHojoAI/Hojo-ASR-V1Remove × | openaiwhisper-large-v3Remove × |
|---|---|---|
| What’s different | 5.18B parameters · 2 languages · Encoder: Qwen3-Omni encoder · Decoder: Qwen3-4B | Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multi-task model that can perform multilingual speech recognition as well as speech… |
| Date | Oct 17, 2026Discovered | Jul 17, 2024Listed |
API prices USD · provider configuration shown below | ||
| Listed rate | See provider quotes | $7.50 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ |
| Provider endpoints | 0 endpoints → | 2 endpoints → |
Benchmarks Each result retains its evaluation configuration | ||
| AMI-Cleaned WER ↗English short-form; normalization unversioned | 7.54% WER ↗HojoAI/Hojo-ASR-V1Leaderboard entry | 13.63% WER ↗openai/whisper-large-v3Leaderboard entry |
| Earnings22-Cleaned-AA-chunked WER ↗English short-form; normalization unversioned | 6.97% WER ↗HojoAI/Hojo-ASR-V1Leaderboard entry | 7.99% WER ↗openai/whisper-large-v3Leaderboard entry |
| Gigaspeech-Cleaned WER ↗English short-form; normalization unversioned | 6.14% WER ↗HojoAI/Hojo-ASR-V1Leaderboard entry | 8.35% WER ↗openai/whisper-large-v3Leaderboard entry |
| LS Clean WER ↗English short-form; normalization unversioned | 1.3% WER ↗HojoAI/Hojo-ASR-V1Leaderboard entry | 1.56% WER ↗openai/whisper-large-v3Leaderboard entry |
| LS Other WER ↗English short-form; normalization unversioned | 3.24% WER ↗HojoAI/Hojo-ASR-V1Leaderboard entry | 3.52% WER ↗openai/whisper-large-v3Leaderboard entry |
| SPGISpeech WER ↗English short-form; normalization unversioned | 1.74% WER ↗HojoAI/Hojo-ASR-V1Leaderboard entry | 2.71% WER ↗openai/whisper-large-v3Leaderboard entry |
| URGENT2024 WER ↗English short-form; normalization unversioned | 12.33% WER ↗HojoAI/Hojo-ASR-V1Leaderboard entry | 13.73% WER ↗openai/whisper-large-v3Leaderboard entry |
| Voice Arena Monsoon WER ↗English short-form; normalization unversioned | 4.63% WER ↗HojoAI/Hojo-ASR-V1Leaderboard entry | 3.95% WER ↗openai/whisper-large-v3Leaderboard entry |
| Voxpopuli-AA-Cleaned WER ↗English short-form; normalization unversioned | 3.11% WER ↗HojoAI/Hojo-ASR-V1Leaderboard entry | 4.53% WER ↗openai/whisper-large-v3Leaderboard entry |
Specifications | ||
| Context window | — | — |
| Max output | — | — |
| Parameters | 5.18B | — |
| Audio input | Supported | Supported |
| Transcription | Supported | Supported |
| Open weights | Not reported | Supported |