ChatTTS vs MOSS-TTS
Dialogue-focused speech synthesis compared
ChatTTS focuses on expressive conversational speech, while MOSS-TTS is a broader family of models for speech and sound generation. Their differences include language coverage, model scope, licensing, and deployment options.
ChatTTS: Generate Expressive Speech for Dialogue
ChatTTS is a generative text-to-speech model built for dialogue, including assistant-style speech. It supports Chinese and English, multiple speakers, and controls for prosody such as pauses and laughter.
MOSS-TTS: Generate Long-Form Speech, Dialogue, and Sound
MOSS-TTS is OpenMOSS’s model family for expressive speech and sound generation, built around Qwen3-based language-model architectures and the MOSS-Audio-Tokenizer. It supports long-form narration, voice cloning, multi-speaker dialogue, voice design, sound effects, and real-time streaming.
| ChatTTS | MOSS-TTS | |
|---|---|---|
| Language | Python | Python |
| License | AGPL-3.0 | Apache-2.0 |
| Stars | 39.9k | 4.2k |
| Forks | 4.3k | 406 |
| Last analyzed | Oct 3, 2026 | Oct 20, 2026 |
Key differences
- ChatTTS targets dialogue speech, including assistant-style responses; MOSS-TTS also covers long-form narration, voice cloning and design, sound effects, and real-time speech.
- ChatTTS supports Chinese and English, with English described as experimental; MOSS-TTS v1.5 models support 31 languages, and coverage varies by model.
- ChatTTS offers delivery controls such as pauses and laughter; MOSS-TTS includes controls for pronunciation, duration, and pauses in long-form synthesis.
- ChatTTS code uses AGPL-3.0, while its released model is separately licensed under CC BY-NC 4.0; MOSS-TTS is listed under Apache-2.0.
- ChatTTS provides command-line, web UI, and Python inference examples; MOSS-TTS documents several inference paths, including PyTorch, llama.cpp, SGLang-Omni, and vLLM-Omni.
Choose ChatTTS if you…
- need dialogue-oriented speech with pauses, laughter, or multiple speakers.
- want to prototype Chinese or English conversational audio.
- are exploring expressive dialogue synthesis and can work within the model's non-commercial license and hardware requirements.
Choose MOSS-TTS if you…
- need a broader set of speech and sound generation tasks, such as narration, voice cloning, or sound effects.
- want to compare model architectures or use documented deployment and fine-tuning paths.
- need multilingual synthesis and can select a checkpoint based on its language coverage and compute requirements.
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This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.