CosyVoice

Input—per 1M tokens

Output—per 1M tokens

Context—tokens

WeightsClosed

About

CosyVoice is ranked #22 of 215 in text-to-speech software on Inferse. It runs on API, Linux, Self-hosted. There is a free plan.

Compared on text-to-speech software

Free plan: Yesgithub.com
Commercial use: Yesgithub.com
Voice cloning: Yesgithub.com
API access: Yesgithub.com
Export formats: WAVgithub.com
Platforms: linux, api, self_hostedgithub.com

Facts

Free plan: Yesgithub.com · 20 Sept 2026
Commercial use: Yesgithub.com · 20 Sept 2026
Voice cloning: Yesgithub.com · 20 Sept 2026
API access: Yesgithub.com · 20 Sept 2026
Export formats: WAVgithub.com · 20 Sept 2026
Platforms: linux,api,self_hostedgithub.com · 20 Sept 2026
Purpose: CosyVoice is a multilingual text-to-speech system that provides inference, training, and deployment capabilities.github.com · 3 Oct 2026
Zero-shot synthesis: Fun-CosyVoice 3.0 is designed for zero-shot multilingual speech synthesis.github.com · 3 Oct 2026
Languages and dialects: Version 3.0 covers nine languages and more than 18 Chinese dialects or accents, with multilingual and cross-lingual zero-shot voice cloning.github.com · 3 Oct 2026
Pronunciation control: The system supports pronunciation inpainting with Chinese Pinyin and English CMU phonemes.github.com · 3 Oct 2026
Text normalization: It supports reading numbers, special symbols, and varied text formats without a traditional frontend module.github.com · 3 Oct 2026
Streaming: It supports text-in and audio-out streaming, with latency stated as low as 150 ms.github.com · 3 Oct 2026
Voice instructions: Users can provide instructions for language, dialect, emotion, speed, and volume.github.com · 3 Oct 2026
Installation: The repository documents installation with Conda and Python 3.10, and offers pretrained model downloads through ModelScope or Hugging Face.github.com · 3 Oct 2026
Deployment options: The repository documents Docker deployment with gRPC or FastAPI, as well as NVIDIA Triton and TensorRT-LLM acceleration.github.com · 3 Oct 2026
API interfaces: The deployment instructions include FastAPI and gRPC servers and clients.github.com · 3 Oct 2026
Runtime requirements: The documented installation uses Python 3.10; the optional ttsfrd normalization wheel is specified for Linux x86_64.github.com · 3 Oct 2026
vLLM compatibility: The repository says CosyVoice 2 and 3 support vLLM 0.11.x or newer and vLLM 0.9.0, while versions between those releases are untested.github.com · 3 Oct 2026
License: The repository is licensed under Apache License 2.0.github.com · 3 Oct 2026
Support: The maintainers direct users to GitHub Issues and an official Dingding chat group for discussion.github.com · 3 Oct 2026
Intended use: The repository says its content is for academic purposes and to demonstrate technical capabilities.github.com · 3 Oct 2026