# Leaderboard ## Automatic Speech Recognition (ASR)
Datasets Model Performance (WER↓)
LibriSpeech
test-clean | test-other
Qwen2-Audio-base 1.74 | 4.04
Baichuan-base 3.02 | 6.04
StepAudio-chat 3.19 | 10.67
Qwen2.5-Omni 2.37 | 4.21
Kimi-Audio 1.28 | 2.42
Fleurs
zh | en
Qwen2-Audio-base 3.63 | 5.20
Baichuan-base 4.15 | 8.07
StepAudio-chat 4.26 | 8.56
Qwen2.5-Omni 2.92 | 4.17
Kimi-Audio 2.69 | 4.44
AISHELL-1 Qwen2-Audio-base 1.52
Baichuan-base 1.93
StepAudio-chat 2.14
Qwen2.5-Omni 1.13
Kimi-Audio 0.60
AISHELL-2 ios Qwen2-Audio-base 3.08
Baichuan-base 3.87
StepAudio-chat 3.89
Qwen2.5-Omni 2.56
Kimi-Audio 2.56
WenetSpeech
test-meeting | test-net
Qwen2-Audio-base 8.40 | 7.64
Baichuan-base 13.28 | 10.13
StepAudio-chat 10.83 | 9.47
Qwen2.5-Omni 7.71 | 6.04
Kimi-Audio 6.28 | 5.37
Kimi-ASR Internal Testset
subset1 | subset2
Qwen2-Audio-base 2.31 | 3.24
Baichuan-base 3.41 | 5.60
StepAudio-chat 2.82 | 4.74
Qwen2.5-Omni 1.53 | 2.68
Kimi-Audio 1.42 | 2.44
## Audio Understanding
Datasets Model Performance↑
MMAU
music | sound | speech
Qwen2-Audio-base 58.98 | 69.07 | 52.55
Baichuan-chat 49.10 | 59.46 | 42.47
GLM-4-Voice 38.92 | 43.54 | 32.43
StepAudio-chat 49.40 | 53.75 | 47.75
Qwen2.5-Omni 62.16 | 67.57 | 53.92
Kimi-Audio 61.68 | 73.27 | 60.66
ClothoAQA
test | dev
Qwen2-Audio-base 71.73 | 72.63
Baichuan-chat 48.02 | 48.16
StepAudio-chat 45.84 | 44.98
Qwen2.5-Omni 72.86 | 73.12
Kimi-Audio 71.24 | 73.18
VocalSound Qwen2-Audio-base 93.82
Baichuan-base 58.17
StepAudio-chat 28.58
Qwen2.5-Omni 93.73
Kimi-Audio 94.85
Nonspeech7k Qwen2-Audio-base 87.17
Baichuan-chat 59.03
StepAudio-chat 21.38
Qwen2.5-Omni 69.89
Kimi-Audio 93.93
MELD Qwen2-Audio-base 51.23
Baichuan-chat 23.59
StepAudio-chat 33.54
Qwen2.5-Omni 49.83
Kimi-Audio 59.13
TUT2017 Qwen2-Audio-base 33.83
Baichuan-base 27.9
StepAudio-chat 7.41
Qwen2.5-Omni 43.27
Kimi-Audio 65.25
CochlScene
test | dev
Qwen2-Audio-base 52.69 | 50.96
Baichuan-base 34.93 | 34.56
StepAudio-chat 10.06 | 10.42
Qwen2.5-Omni 63.82 | 63.82
Kimi-Audio 79.84 | 80.99
## Audio-to-Text Chat
Datasets Model Performance↑
OpenAudioBench
AlpacaEval | Llama Questions |
Reasoning QA | TriviaQA | Web Questions
Qwen2-Audio-chat 57.19 | 69.67 | 42.77 | 40.30 | 45.20
Baichuan-chat 59.65 | 74.33 | 46.73 | 55.40 | 58.70
GLM-4-Voice 57.89 | 76.00 | 47.43 | 51.80 | 55.40
StepAudio-chat 56.53 | 72.33 | 60.00 | 56.80 | 73.00
Qwen2.5-Omni 72.76 | 75.33 | 63.76 | 57.06 | 62.80
Kimi-Audio 75.73 | 79.33 | 58.02 | 62.10 | 70.20
VoiceBench
AlpacaEval | CommonEval |
SD-QA | MMSU
Qwen2-Audio-chat 3.69 | 3.40 | 35.35 | 35.43
Baichuan-chat 4.00 | 3.39 | 49.64 | 48.80
GLM-4-Voice 4.06 | 3.48 | 43.31 | 40.11
StepAudio-chat 3.99 | 2.99 | 46.84 | 28.72
Qwen2.5-Omni 4.33 | 3.84 | 57.41 | 56.38
Kimi-Audio 4.46 | 3.97 | 63.12 | 62.17
VoiceBench
OpenBookQA | IFEval |
AdvBench | Avg
Qwen2-Audio-chat 49.01 | 22.57 | 98.85 | 54.72
Baichuan-chat 63.30 | 41.32 | 86.73 | 62.51
GLM-4-Voice 52.97 | 24.91 | 88.08 | 57.17
StepAudio-chat 31.87 | 29.19 | 65.77 | 48.86
Qwen2.5-Omni 79.12 | 53.88 | 99.62 | 72.83
Kimi-Audio 83.52 | 61.10 | 100.00 | 76.93
## Updates - 2025-04-25: Initial leaderboard created