CosyVoice
Multi-lingual voice generation model for inference, training and deployment.
- Status
- Generally available
- Last checked
- Checked · Oct 15, 2026
- License
- Open source
- Pricing
- Free tier · from $0
What it is
CosyVoice is a multi-lingual large voice generation model that offers full-stack capabilities including inference, training, and deployment. It's ideal for developers looking to integrate high-quality voice synthesis into their applications across multiple languages.
CosyVoice stands out as a comprehensive, open-source solution for multilingual voice synthesis, offering full-stack support from training to deployment.
When it fits — and when it doesn’t
A good fit for
Teams building multilingual voice-based applications who need high-quality, customizable voice synthesis
Research projects focused on natural language processing and speech technology
Look elsewhere if
Projects requiring real-time streaming capabilities (batch-only architecture)
Applications that require extremely low latency in voice generation
Known weaknesses
Each one links to the public issue, changelog or docs page it came from, where we have one.
- 01
Limited integrations with non-Python environments
Primary support is for Python, other language bindings are experimental and less stable
- 02
Performance issues under heavy load
Inference times increase significantly with more concurrent requests
What it does well
Multi-lingual voice synthesis capabilities
Full-stack support for inference, training and deployment
Open-source under Apache-2.0 license
Pricing
- Free tier
- YesOpen source — free to use
- Paid from
- $0
- Model
- Flat rate
- Enterprise plan
- No
Pricing not independently confirmed — check the vendor’s page.
Performance benchmarks
How Fast Is It?
Set up CosyVoice
Setup steps, common gotchas and what to check after 30 days.
Get the badge
A small badge for CosyVoice’s README or site: its name, “Tracked on AI Navigator”, and the availability status and check month from this page. It updates as the catalog does.
Markdown
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