accuracy benchmark
Direct model-level leaderboard results from Open ASR Leaderboard.
Updated Aug 18, 2026
Lower average wer ranks better on this benchmark.
Rank | Model | Average WER | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAUARK-ASR-3BAudio8 | Average WER4.76 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank02 | ModelOTMOSS-Transcribe-preview-2BOpenmoss Team | Average WER4.87 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank03 | ModelOTMOSS-Transcribe-DiarizeOpenmoss Team | Average WER5.17 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank04 | ModelCOcohere-transcribe-03-2026Coherelabs | Average WER5.42 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank05 | ModelAUARK-ASR-0.6BAudio8 | Average WER5.53 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank06 | ModelSOZipformer-cr-ctc-transducer-XL-290MSoundsgoodai | Average WER5.56 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank07 | ModelAC | Average WER5.76 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank08 | ModelMI | Average WER6.02 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank09 | ModelNV | Average WER6.05 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank10 | ModelNV | Average WER6.35 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank11 | ModelKYstt-2.6b-enKyutai | Average WER6.4 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank12 | ModelAC | Average WER6.42 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank13 | ModelNV | Average WER6.504 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank14 | ModelMAmoonshine-streaming-mediumMoonshine Ai | Average WER6.66 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank15 | ModelSOZipformer-transducer-XL-290MSoundsgoodai | Average WER6.71 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank16 | ModelNV | Average WER7.015 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank17 | ModelZA | Average WER7.03 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank18 | ModelAUAudio8-ASR-0.1BAudio8 | Average WER7.03 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank19 | ModelMIVoxtral-Mini-3B-2507Mistralai | Average WER7.05 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank20 | ModelNV | Average WER7.12 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank21 | ModelNV | Average WER7.124 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank22 | ModelNV | Average WER7.15 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank23 | ModelDWdistil-large-v3.5Distil Whisper | Average WER7.21 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank24 | ModelESowsm_ctc_v4_1BEspnet | Average WER7.42 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank25 | ModelOP | Average WER7.44 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank26 | ModelNV | Average WER7.49 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank27 | ModelNV | Average WER7.495 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank28 | ModelNV | Average WER7.69 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank29 | ModelMI | Average WER7.77 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank30 | ModelOP | Average WER7.835 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank31 | ModelMAmoonshine-streaming-smallMoonshine Ai | Average WER7.84 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank32 | ModelOP | Average WER7.943 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank33 | ModelOP | Average WER8.09 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank34 | ModelESowsm_ctc_v3.1_1BEspnet | Average WER8.12 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank35 | ModelNV | Average WER8.319 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank36 | ModelSPasr-conformer-loquaciousSpeechbrain | Average WER8.48 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank37 | ModelOP | Average WER8.59 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank38 | ModelAAniagara-38m-batch.enAbr Ai | Average WER8.91 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank39 | ModelNV | Average WER8.965 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank40 | ModelNV | Average WER9.058 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank41 | ModelMAmoonshine-baseMoonshine Ai | Average WER9.99 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank42 | ModelOP | Average WER10.318 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank43 | ModelAAniagara-19m-batch.enAbr Ai | Average WER10.47 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank44 | ModelNV | Average WER11.159 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank45 | ModelMAmoonshine-streaming-tinyMoonshine Ai | Average WER12 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank46 | ModelMAmoonshine-tinyMoonshine Ai | Average WER12.65 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank47 | ModelOP | Average WER12.806 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank48 | ModelSPasr-wav2vec2-librispeechSpeechbrain | Average WER14.348 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank49 | ModelFAwav2vec2-large-960h-lv60-selfFacebook | Average WER21.273 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank50 | ModelFAmms-1b-allFacebook | Average WER22.539 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank51 | ModelFAhubert-xlarge-ls960-ftFacebook | Average WER22.548 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank52 | ModelFAhubert-large-ls960-ftFacebook | Average WER22.694 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank53 | ModelFAwav2vec2-large-robust-ft-libri-960hFacebook | Average WER22.931 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank54 | ModelFAdata2vec-audio-large-960hFacebook | Average WER23.21 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank55 | ModelFAwav2vec2-conformer-rope-large-960h-ftFacebook | Average WER23.284 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank56 | ModelFAwav2vec2-conformer-rel-pos-large-960h-ftFacebook | Average WER23.291 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank57 | ModelFAwav2vec2-large-960hFacebook | Average WER26.773 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank58 | ModelFAdata2vec-audio-base-960hFacebook | Average WER28.303 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank59 | ModelFAwav2vec2-base-960hFacebook | Average WER29.403 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
| Rank60 | ModelFAmms-1b-fl102Facebook | Average WER39.796 wer | PercentileN/A | Participants60 | EvidenceA | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis open asr leaderboard overall AI model leaderboard uses ascending average wer in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
ARK-ASR-3B currently leads Open ASR Leaderboard Overall with 4.76 wer. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What Open ASR Leaderboard Overall measures and how its scores work.
Direct model-level leaderboard results from Open ASR Leaderboard.
Scores are shown in wer. This benchmark is verified and has an evidence level of A.
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about Open ASR Leaderboard Overall.
ARK-ASR-3B is currently ranked first with 4.76 wer.
Direct model-level leaderboard results from Open ASR Leaderboard.
No. Lower values rank better for this benchmark.
60 model results are currently shown.
Yes. This benchmark can contribute to the current LLMBoard capability score.