FunAudioLLM/CosyVoice2-0.5B
About FunAudioLLM/CosyVoice2-0.5B
CosyVoice 2 is a streaming speech synthesis model based on a large language model, employing a unified streaming/non-streaming framework design. The model enhances the utilization of the speech token codebook through finite scalar quantization (FSQ), simplifies the text-to-speech language model architecture, and develops a chunk-aware causal streaming matching model that supports different synthesis scenarios. In streaming mode, the model achieves ultra-low latency of 150ms while maintaining synthesis quality almost identical to that of non-streaming mode. Compared to version 1.0, the pronunciation error rate has been reduced by 30%-50%, the MOS score has improved from 5.4 to 5.53, and fine-grained control over emotions and dialects is supported. The model supports Chinese (including dialects: Cantonese, Sichuan dialect, Shanghainese, Tianjin dialect, etc.), English, Japanese, Korean, and supports cross-lingual and mixed-language scenarios.
Available Serverless
Run queries immediately, pay only for usage
$
7.15
Per 1M UTF-8 bytes
Metadata
Specification
State
Available
Architecture
Calibrated
Yes
Mixture of Experts
No
Total Parameters
1
Activated Parameters
0.5B
Reasoning
No
Precision
FP8
Context length
0K
Max Tokens
Supported Functionality
Serverless
Supported
Serverless LoRA
Not supported
Fine-tuning
Not supported
Embeddings
Not supported
Rerankers
Not supported
Support image input
Not supported
JSON Mode
Not supported
Structured Outputs
Not supported
Tools
Not supported
Fim Completion
Not supported
Chat Prefix Completion
Not supported
Compare with Other Models
See how this model stacks up against others.
IndexTeam
text-to-speech
IndexTTS-2
Release on: Sep 10, 2025
Total Context:
0K
Max output:
Input:
$
/ M UTF-8 bytes
Output:
$
/ M UTF-8 bytes
Fish Audio
text-to-speech
Fish-Speech-1.5
Release on: Nov 29, 2024
Total Context:
0K
Max output:
Input:
$
/ M UTF-8 bytes
Output:
$
/ M UTF-8 bytes

FunAudioLLM
text-to-speech
FunAudioLLM/CosyVoice2-0.5B
Release on: Dec 16, 2024
Total Context:
0K
Max output:
Input:
$
/ M UTF-8 bytes
Output:
$
/ M UTF-8 bytes
Model FAQs: Usage, Deployment
Learn how to use, fine-tune, and deploy this model with ease.
