--- title: "VoxCPM vs MOSS-TTS" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/openbmb-voxcpm-vs-openmoss-moss-tts" tools: ["openbmb-voxcpm", "openmoss-moss-tts"] --- # VoxCPM vs MOSS-TTS *GraphCanon updated Jul 29, 2026* ## Verdict Pick VoxCPM if voxCPM is a tokenizer-free TTS tool excelling in multilingual speech generation, creative voice design, and lifelike cloning; pick MOSS-TTS if mOSS-TTS, an open-source project for generating high-fidelity audio including speech and sound effects, supports real-time TTS and voice design tasks. [VoxCPM](https://voxcpm.com) reports 34k GitHub stars, 3.9k forks, and 99 open issues, last pushed Jul 8, 2026. [MOSS-TTS](https://mosi.cn/models/moss-tts) has 3.9k stars, 350 forks, and 13 open issues, last pushed Jul 26, 2026. Figures are from public GitHub metadata via [VoxCPM's repository](https://github.com/OpenBMB/VoxCPM) and [MOSS-TTS's repository](https://github.com/OpenMOSS/MOSS-TTS). | | [VoxCPM](/tools/openbmb-voxcpm.md) | [MOSS-TTS](/tools/openmoss-moss-tts.md) | | --- | --- | --- | | Tagline | Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning | An open-source speech and sound generation model family designed for high-fidelity scenarios including multi-speaker dialogue。 | | Stars | 34,452 | 3,922 | | Forks | 3,939 | 350 | | Open issues | 99 | 13 | | Language | Python | Python | | Adopt for | VoxCPM is a tokenizer-free TTS tool excelling in multilingual speech generation, creative voice design, and lifelike cloning. | MOSS-TTS, an open-source project for generating high-fidelity audio including speech and sound effects, supports real-time TTS and voice design tasks. | | Persona | - | developer harness | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Inference & Serving, Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [VoxCPM](/tools/openbmb-voxcpm.md) | [MOSS-TTS](/tools/openmoss-moss-tts.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 20d | 3d | | Open issues (now) | 99 | 13 | | Full report | [trust report](/tools/openbmb-voxcpm/trust.md) | [trust report](/tools/openmoss-moss-tts/trust.md) | ## Shared compatibility - **Python**: [VoxCPM](/tools/openbmb-voxcpm.md) - Python runtime; [MOSS-TTS](/tools/openmoss-moss-tts.md) - Python runtime ## Decision facts: VoxCPM - **Requirements:** Python >= 3.10 (<3.13), PyTorch >= 2.5.0, CUDA >= 12.0.; For production deployment, Nano-vLLM is recommended for its high throughput and concurrent request support. - **Adopt for:** VoxCPM is a tokenizer-free TTS tool excelling in multilingual speech generation, creative voice design, and lifelike cloning. ## Decision facts: MOSS-TTS - **Pricing:** freemium - Free to use under the Apache License, version 2.0. - **Adopt for:** MOSS-TTS, an open-source project for generating high-fidelity audio including speech and sound effects, supports real-time TTS and voice design tasks. - **License detail:** Apache-2.0 - **Persona:** developer harness ## Choose when ### Choose VoxCPM if… - Requirements: Python >= 3.10 (<3.13), PyTorch >= 2.5.0, CUDA >= 12.0.; For production deployment, Nano-vLLM is recommended for its high throughput and concurrent request support.. - Tags unique to VoxCPM: deeplearning, minicpm, multilingual, python. - Also covers Inference & Serving. - When you need to generate high-quality, lifelike voice clones for multiple languages without the overhead of tokenizers. ### Choose MOSS-TTS if… - Pricing: Free to use under the Apache License, version 2.0.. - Tags unique to MOSS-TTS: llm, multimodal, text-to-speech, voice-cloning. - When developing applications that require complex, high-expressiveness audio scenarios, such as long-form speech or multi-speaker dialogues. ## When NOT to use VoxCPM - If your project is constrained by hardware with less powerful GPUs than NVIDIA RTX 4090, as VoxCPM might not provide optimal real-time factor performance. - When a simple text-to-speech solution suffices and does not require the advanced features like voice cloning or creative voice design that VoxCPM offers. ## When NOT to use MOSS-TTS - If your project requires minimal dependencies and simple installation processes since MOSS-TTS involves setting up a virtual environment and specific PyTorch versions. - When working on systems with limited GPU capabilities, because MOSS-TTS benefits from but may require certain GPUs for FlashAttention 2 optimizations. ## Common questions ### What is the difference between VoxCPM and MOSS-TTS? VoxCPM: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning. MOSS-TTS: An open-source speech and sound generation model family designed for high-fidelity scenarios including multi-speaker dialogue。. See the comparison table for live GitHub stats and shared categories. ### When should I choose VoxCPM over MOSS-TTS? Choose VoxCPM over MOSS-TTS when Requirements: Python >= 3.10 (<3.13), PyTorch >= 2.5.0, CUDA >= 12.0.; For production deployment, Nano-vLLM is recommended for its high throughput and concurrent request support.; Tags unique to VoxCPM: deeplearning, minicpm, multilingual, python; Also covers Inference & Serving; When you need to generate high-quality, lifelike voice clones for multiple languages without the overhead of tokenizers. ### When should I choose MOSS-TTS over VoxCPM? Choose MOSS-TTS over VoxCPM when Pricing: Free to use under the Apache License, version 2.0.; Tags unique to MOSS-TTS: llm, multimodal, text-to-speech, voice-cloning; When developing applications that require complex, high-expressiveness audio scenarios, such as long-form speech or multi-speaker dialogues. ### When should I avoid VoxCPM? If your project is constrained by hardware with less powerful GPUs than NVIDIA RTX 4090, as VoxCPM might not provide optimal real-time factor performance. When a simple text-to-speech solution suffices and does not require the advanced features like voice cloning or creative voice design that VoxCPM offers. ### When should I avoid MOSS-TTS? If your project requires minimal dependencies and simple installation processes since MOSS-TTS involves setting up a virtual environment and specific PyTorch versions. When working on systems with limited GPU capabilities, because MOSS-TTS benefits from but may require certain GPUs for FlashAttention 2 optimizations. ### Is VoxCPM or MOSS-TTS more popular on GitHub? VoxCPM has more GitHub stars (34,452 vs 3,922). Stars measure visibility, not whether either tool fits your constraints. ### Are VoxCPM and MOSS-TTS open source? Yes - both are open-source projects on GitHub (VoxCPM: Apache-2.0, MOSS-TTS: Apache-2.0). ### Where can I find alternatives to VoxCPM or MOSS-TTS? GraphCanon lists graph-backed alternatives at [VoxCPM alternatives](/tools/openbmb-voxcpm/alternatives) and [MOSS-TTS alternatives](/tools/openmoss-moss-tts/alternatives) ([VoxCPM markdown twin](/tools/openbmb-voxcpm/alternatives.md), [MOSS-TTS markdown twin](/tools/openmoss-moss-tts/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/openbmb-voxcpm-vs-openmoss-moss-tts.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, VoxCPM or MOSS-TTS? VoxCPM: Active. MOSS-TTS: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for VoxCPM and MOSS-TTS? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [VoxCPM trust report](/tools/openbmb-voxcpm/trust); [MOSS-TTS trust report](/tools/openmoss-moss-tts/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=openbmb-voxcpm`](/api/graphcanon/graph?tool=openbmb-voxcpm) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_