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Kimi-Audio

Moonshot AIOpen WeightsPending Human Review

Kimi-Audio is a language-capable audio foundation-model family for audio understanding, text responses, and speech generation. It combines semantic and acoustic audio representations, pretraining on more than 13 million hours of speech, music, sounds, and paired text. The released 7B-base-language-model and instruction-tuned checkpoints support tasks including audio question answering, speech recognition, and spoken conversation. Because it generates and reasons with language, it is in scope beyond speech-only transcription or synthesis. Public MIT-tagged weights and inference code are available.

2025-04-26
7B language backbone
Audio-language Transformer built from Qwen2.5-7B with audio encoders and speech decoder
MIT

Specifications

Parameters
7B language backbone
Architecture
Audio-language Transformer built from Qwen2.5-7B with audio encoders and speech decoder
License
MIT
Type
multimodal
Modalities
textaudio

Benchmark Scores

Advanced Specifications

Model Family
Kimi
Finetuned From
Qwen2.5-7B
API Access
Not Available
Chat Interface
Not Available
Variants
Kimi-Audio-7BKimi-Audio-7B-Instruct

Capabilities & Limitations

Capabilities
audio question answeringspeech understandingspoken conversationspeech generation
Known Limitations
The 7B name refers to the language backbone; additional audio components increase total size.Qwen-derived code retains Apache-2.0 terms alongside MIT-licensed components.
Notable Use Cases
audio assistantssound and music understandingspeech-language research

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