VoxCPM vs MOSS-TTS
Open-source speech generation projects compared
VoxCPM and MOSS-TTS are open-source Python projects for generating speech, cloning voices, and deploying models in your own environment. VoxCPM focuses on multilingual text-to-speech and voice control, while MOSS-TTS offers a broader family of models for speech, dialogue, sound effects, and real-time generation.
VoxCPM: Generate and Clone Multilingual Speech
VoxCPM is a tokenizer-free text-to-speech system for multilingual speech generation, voice design, and voice cloning. Its VoxCPM2 release targets teams and developers who need expressive speech synthesis and can support a 2B-parameter model.
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.
| VoxCPM | MOSS-TTS | |
|---|---|---|
| Language | Python | Python |
| License | Apache-2.0 | Apache-2.0 |
| Stars | 38.3k | 4.2k |
| Forks | 4.3k | 406 |
| Last analyzed | Oct 3, 2026 | Oct 20, 2026 |
Key differences
- VoxCPM centers on tokenizer-free text-to-speech, natural-language voice design, and voice cloning; MOSS-TTS covers additional tasks such as multi-speaker dialogue and sound effects.
- VoxCPM documents support for 30 languages, while MOSS-TTS v1.5 models support 31 languages; coverage varies among MOSS-TTS models.
- VoxCPM2 is a 2B-parameter model with about 8 GB of VRAM listed; MOSS-TTS includes checkpoints up to 8B, with requirements varying by model and backend.
- VoxCPM offers Python and CLI workflows plus serving and edge-inference options; MOSS-TTS lists PyTorch, llama.cpp, SGLang-Omni, and vLLM-Omni inference paths.
- Both projects use the Apache-2.0 license; the supplied project data lists 38.3k stars for VoxCPM and 4.2k for MOSS-TTS.
Choose VoxCPM if you…
- need multilingual TTS with documented support for 30 languages and no language tags.
- want natural-language voice design or reference-audio cloning with optional style control.
- prefer a focused TTS project with Python and CLI workflows and documented edge-inference options.
Choose MOSS-TTS if you…
- need a model family spanning narration, multi-speaker dialogue, sound effects, and real-time speech.
- want to compare model architectures and deployment paths, including llama.cpp and serving frameworks.
- need long-form synthesis with controls for pronunciation, duration, and pauses.
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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.