tortoise.cpp vs csm
Speech generation projects compared
tortoise.cpp and csm both generate speech from text. tortoise.cpp reimplements Tortoise-TTS in C++ with CPU or CUDA builds, while csm is a Python model for generating speech with optional conversational audio and transcript context, documented for CUDA-compatible GPUs.
tortoise.cpp: Generate Speech with Tortoise-TTS in C++
tortoise.cpp is a C++/GGML implementation of Tortoise-TTS for generating speech from text. It can run on CPU or CUDA, but has seen no commits or releases in over a year, so it may suit experiments better than new production deployments.
csm: Generate Conversational Speech from Text and Audio
CSM is Sesame’s speech-generation model, producing audio from text and optional conversation context. It suits developers building voice experiences who can run large models on a CUDA-compatible GPU and provide the required Hugging Face checkpoints.
| tortoise.cpp | csm | |
|---|---|---|
| Language | C++ | Python |
| License | MIT | Apache-2.0 |
| Stars | 192 | 14.7k |
| Forks | 18 | 1.5k |
| Last analyzed | Oct 10, 2026 | Oct 3, 2026 |
Key differences
- tortoise.cpp is a C++/GGML implementation of Tortoise-TTS; csm uses a Llama backbone and Mimi audio codes and provides Python examples.
- tortoise.cpp generates speech from text and a selected speaker voice file; csm can condition generation on prior utterances with transcripts, audio, and speaker identities.
- tortoise.cpp documents CPU and CUDA builds, with Metal work in progress; csm's documented requirements call for a CUDA-compatible GPU.
- tortoise.cpp uses an MIT license; csm uses Apache-2.0.
- tortoise.cpp has had no commits in over a year and no releases in the past year; csm provides code for running its 1B model, with checkpoints hosted separately on Hugging Face.
- csm generates audio rather than text and is intended to pair with a separate language model for generated text; tortoise.cpp focuses on running Tortoise-TTS speech synthesis locally.
Choose tortoise.cpp if you…
- want a C++/GGML implementation of Tortoise-TTS for local speech generation.
- need CPU support or want CUDA as an option rather than a GPU-only documented setup.
- are comfortable building locally and obtaining model files separately.
Choose csm if you…
- need speech generation conditioned on conversation transcripts and audio context.
- want Python examples for generating dialogue with multiple speaker identities.
- can provide the Hugging Face checkpoints and run inference on a CUDA-compatible GPU.
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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.