OPEN BENCHMARKS
AI 모델 벤치마크
추적 가능한 공개 벤치마크로 언어·이미지·동영상·음성 모델을 비교합니다.
짧은 오디오, 긴 오디오, 다국어 오디오는 서로 다른 평가 세트를 사용해 별도로 순위를 매깁니다. WER은 낮을수록 좋습니다.
Artificial Analysis 추가 정보 ↓모델 비교
0/3이 순위에서 모델 2~3개를 선택하세요. 동일한 출처·버전·평가 범주의 측정값만 나란히 비교합니다.
| 순위 | 모델 | 점수 | 개발사 | 출처 |
|---|---|---|---|---|
| 1 | cohere-transcribe-03-2026Open | 5.42 % | CohereLabs | Open ASR Leaderboard |
| 2 | scribe_v1Proprietary | 5.47 % | zoom | Open ASR Leaderboard |
| 3 | granite-4.0-1b-speechOpen | 5.52 % | ibm-granite | Open ASR Leaderboard |
| 4 | canary-qwen-2.5bOpen | 5.63 % | nvidia | Open ASR Leaderboard |
| 5 | granite-speech-3.3-8bOpen | 5.74 % | ibm-granite | Open ASR Leaderboard |
| 6 | Qwen3-ASR-1.7BOpen | 5.76 % | Qwen | Open ASR Leaderboard |
| 7 | scribe_v2Proprietary | 5.83 % | elevenlabs | Open ASR Leaderboard |
| 8 | granite-speech-3.3-2bOpen | 6 % | ibm-granite | Open ASR Leaderboard |
| 9 | Phi-4-multimodal-instructOpen | 6.02 % | microsoft | Open ASR Leaderboard |
| 10 | parakeet-tdt-0.6b-v2Open | 6.05 % | nvidia | Open ASR Leaderboard |
| 11 | universal-3-proProprietary | 6.21 % | assemblyai | Open ASR Leaderboard |
| 12 | avalon-v1-enProprietary | 6.24 % | aquavoice | Open ASR Leaderboard |
| 13 | parakeet-tdt-0.6b-v3Open | 6.32 % | nvidia | Open ASR Leaderboard |
| 14 | canary-1b-flashOpen | 6.35 % | nvidia | Open ASR Leaderboard |
| 15 | stt-2.6b-enOpen | 6.4 % | kyutai | Open ASR Leaderboard |
| 16 | chirp_2Proprietary | 6.42 % | Open ASR Leaderboard | |
| 16 | Qwen3-ASR-0.6BOpen | 6.42 % | Qwen | Open ASR Leaderboard |
| 17 | canary-1bOpen | 6.504 % | nvidia | Open ASR Leaderboard |
| 18 | Voxtral-Small-24B-2507Open | 6.62 % | mistralai | Open ASR Leaderboard |
| 19 | chirp_3Proprietary | 6.63 % | Open ASR Leaderboard | |
| 20 | moonshine-streaming-mediumOpen | 6.66 % | usefulsensors | Open ASR Leaderboard |
| 21 | CrisperWhisperOpen | 6.67 % | nyrahealth | Open ASR Leaderboard |
| 22 | Zipformer-transducer-XL-290MOpen | 6.79 % | soundsgoodai | Open ASR Leaderboard |
| 23 | scribe_v1Proprietary | 6.88 % | elevenlabs | Open ASR Leaderboard |
| 24 | enhancedProprietary | 6.91 % | speechmatics | Open ASR Leaderboard |
| 25 | parakeet-tdt-1.1bOpen | 7.015 % | nvidia | Open ASR Leaderboard |
| 26 | GLM-ASR-Nano-2512Open | 7.03 % | zai-org | Open ASR Leaderboard |
| 27 | Voxtral-Mini-3B-2507Open | 7.05 % | mistralai | Open ASR Leaderboard |
| 28 | canary-180m-flashOpen | 7.12 % | nvidia | Open ASR Leaderboard |
| 28 | fusionProprietary | 7.12 % | revai | Open ASR Leaderboard |
| 29 | parakeet-rnnt-1.1bOpen | 7.124 % | nvidia | Open ASR Leaderboard |
| 30 | canary-1b-v2Open | 7.15 % | nvidia | Open ASR Leaderboard |
| 31 | distil-large-v3.5Open | 7.21 % | distil-whisper | Open ASR Leaderboard |
| 32 | lite-whisper-large-v3-accOpen | 7.23 % | efficient-speech | Open ASR Leaderboard |
| 33 | parakeet-ctc-1.1bOpen | 7.399 % | nvidia | Open ASR Leaderboard |
| 34 | owsm_ctc_v4_1BOpen | 7.42 % | espnet | Open ASR Leaderboard |
| 35 | lite-whisper-large-v3Open | 7.43 % | efficient-speech | Open ASR Leaderboard |
| 36 | whisper-large-v3Open | 7.44 % | openai | Open ASR Leaderboard |
| 37 | parakeet-tdt_ctc-110mOpen | 7.49 % | nvidia | Open ASR Leaderboard |
| 38 | parakeet-rnnt-0.6bOpen | 7.495 % | nvidia | Open ASR Leaderboard |
| 39 | distil-large-v3Open | 7.518 % | distil-whisper | Open ASR Leaderboard |
| 40 | Voxtral-Mini-4B-Realtime-2602Open | 7.68 % | mistralai | Open ASR Leaderboard |
| 41 | parakeet-ctc-0.6bOpen | 7.69 % | nvidia | Open ASR Leaderboard |
| 42 | lite-whisper-large-v3-turbo-accOpen | 7.77 % | efficient-speech | Open ASR Leaderboard |
| 42 | VibeVoice-ASR-HFOpen | 7.77 % | microsoft | Open ASR Leaderboard |
| 43 | whisper-large-v3-turboOpen | 7.83 % | openai | Open ASR Leaderboard |
| 44 | whisper-large-v2Open | 7.835 % | openai | Open ASR Leaderboard |
| 45 | moonshine-streaming-smallOpen | 7.84 % | usefulsensors | Open ASR Leaderboard |
| 46 | distil-large-v2Open | 7.921 % | distil-whisper | Open ASR Leaderboard |
| 47 | whisper-largeOpen | 7.943 % | openai | Open ASR Leaderboard |
| 48 | machineProprietary | 7.95 % | revai | Open ASR Leaderboard |
| 49 | whisper-medium.enOpen | 8.09 % | openai | Open ASR Leaderboard |
| 50 | owsm_ctc_v3.1_1BOpen | 8.12 % | espnet | Open ASR Leaderboard |
| 51 | omniASR-LLM-7B-v2Open | 8.14 % | Open ASR Leaderboard | |
| 52 | lite-whisper-large-v3-fastOpen | 8.16 % | efficient-speech | Open ASR Leaderboard |
| 53 | owsm_ctc_v3.2_ft_1BOpen | 8.25 % | espnet | Open ASR Leaderboard |
| 54 | chirpProprietary | 8.29 % | Open ASR Leaderboard | |
| 55 | stt_en_conformer_ctc_largeOpen | 8.319 % | nvidia | Open ASR Leaderboard |
| 56 | asr-conformer-largescaleasrOpen | 8.48 % | speechbrain | Open ASR Leaderboard |
| 57 | fixie-ai-ultravox-v0_6-llama-3_1-8bOpen | 8.52 % | ultravox | Open ASR Leaderboard |
| 58 | distil-small.enOpen | 8.568 % | distil-whisper | Open ASR Leaderboard |
| 59 | whisper-small.enOpen | 8.59 % | openai | Open ASR Leaderboard |
| 60 | distil-medium.enOpen | 8.765 % | distil-whisper | Open ASR Leaderboard |
| 61 | stt_en_fastconformer_ctc_largeOpen | 8.965 % | nvidia | Open ASR Leaderboard |
| 62 | stt_en_fastconformer_transducer_largeOpen | 9.058 % | nvidia | Open ASR Leaderboard |
| 63 | moonshine-baseOpen | 9.99 % | usefulsensors | Open ASR Leaderboard |
| 64 | stt_en_conformer_transducer_smallOpen | 10.258 % | nvidia | Open ASR Leaderboard |
| 65 | whisper-base.enOpen | 10.318 % | openai | Open ASR Leaderboard |
| 66 | asr-19m-v2-en-32bOpen | 10.61 % | abr-ai | Open ASR Leaderboard |
| 67 | omniASR-CTC-7B-v2Open | 10.65 % | Open ASR Leaderboard | |
| 68 | stt_en_conformer_ctc_smallOpen | 11.159 % | nvidia | Open ASR Leaderboard |
| 69 | moonshine-streaming-tinyOpen | 12 % | usefulsensors | Open ASR Leaderboard |
| 70 | moonshine-tinyOpen | 12.65 % | usefulsensors | Open ASR Leaderboard |
| 71 | whisper-tiny.enOpen | 12.806 % | openai | Open ASR Leaderboard |
| 72 | asr-wav2vec2-librispeechOpen | 14.348 % | speechbrain | Open ASR Leaderboard |
| 73 | wav2vec2-large-960h-lv60-selfOpen | 21.273 % | Open ASR Leaderboard | |
| 74 | mms-1b-allOpen | 22.539 % | Open ASR Leaderboard | |
| 75 | hubert-xlarge-ls960-ftOpen | 22.548 % | Open ASR Leaderboard | |
| 76 | hubert-large-ls960-ftOpen | 22.694 % | Open ASR Leaderboard | |
| 77 | wav2vec2-large-robust-ft-libri-960hOpen | 22.931 % | Open ASR Leaderboard | |
| 78 | data2vec-audio-large-960hOpen | 23.21 % | Open ASR Leaderboard | |
| 79 | wav2vec2-conformer-rope-large-960h-ftOpen | 23.284 % | Open ASR Leaderboard | |
| 80 | wav2vec2-conformer-rel-pos-large-960h-ftOpen | 23.291 % | Open ASR Leaderboard | |
| 81 | wav2vec2-large-960hOpen | 26.773 % | Open ASR Leaderboard | |
| 82 | data2vec-audio-base-960hOpen | 28.303 % | Open ASR Leaderboard | |
| 83 | wav2vec2-base-960hOpen | 29.403 % | Open ASR Leaderboard | |
| 84 | mms-1b-fl102Open | 39.796 % | Open ASR Leaderboard |
조건에 맞는 측정 모델이 없습니다.
EXTERNAL REFERENCE
Artificial Analysis 추가 정보
평가 점수 외의 기준으로도 모델을 비교할 수 있습니다. 최신 자료는 공식 페이지에서 확인하세요.
출처 및 방법론
Open ASR Leaderboard현재 데이터
- 버전
- main
- 라이선스
- Apache-2.0
- 업데이트
- 2026-10-03T13:00:11.401Z