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| 2 models | QwenQwen/Qwen3-ASR-0.6B-hfRemove × | openaiwhisper-large-v3-turboRemove × |
|---|---|---|
| What’s different | 0.78B parameters · 52 languages · Encoder: Custom · Decoder: Qwen3 | 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 | Oct 17, 2026Discovered | 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 | 9.33% WER ↗Qwen/Qwen3-ASR-0.6B-hfLeaderboard entry | 13.88% WER ↗openai/whisper-large-v3-turboLeaderboard entry |
| Earnings22-Cleaned-AA-chunked WER ↗English short-form; normalization unversioned | 7.83% WER ↗Qwen/Qwen3-ASR-0.6B-hfLeaderboard entry | 8.09% WER ↗openai/whisper-large-v3-turboLeaderboard entry |
| Gigaspeech-Cleaned WER ↗English short-form; normalization unversioned | 7.62% WER ↗Qwen/Qwen3-ASR-0.6B-hfLeaderboard entry | 8.47% WER ↗openai/whisper-large-v3-turboLeaderboard entry |
| LS Clean WER ↗English short-form; normalization unversioned | 1.7% WER ↗Qwen/Qwen3-ASR-0.6B-hfLeaderboard entry | 2.13% WER ↗openai/whisper-large-v3-turboLeaderboard entry |
| LS Other WER ↗English short-form; normalization unversioned | 4.01% WER ↗Qwen/Qwen3-ASR-0.6B-hfLeaderboard entry | 3.71% WER ↗openai/whisper-large-v3-turboLeaderboard entry |
| SPGISpeech WER ↗English short-form; normalization unversioned | 2.74% WER ↗Qwen/Qwen3-ASR-0.6B-hfLeaderboard entry | 2.79% WER ↗openai/whisper-large-v3-turboLeaderboard entry |
| URGENT2024 WER ↗English short-form; normalization unversioned | 11.57% WER ↗Qwen/Qwen3-ASR-0.6B-hfLeaderboard entry | 13.69% WER ↗openai/whisper-large-v3-turboLeaderboard entry |
| Voice Arena Monsoon WER ↗English short-form; normalization unversioned | 4.23% WER ↗Qwen/Qwen3-ASR-0.6B-hfLeaderboard entry | 4.77% WER ↗openai/whisper-large-v3-turboLeaderboard entry |
| Voxpopuli-AA-Cleaned WER ↗English short-form; normalization unversioned | 2.9% WER ↗Qwen/Qwen3-ASR-0.6B-hfLeaderboard entry | 7.02% WER ↗openai/whisper-large-v3-turboLeaderboard entry |
Specifications | ||
| Context window | — | — |
| Max output | — | — |
| Parameters | 0.78B | — |
| Audio input | Supported | Supported |
| Transcription | Supported | Supported |
| Open weights | Not reported | Supported |