--- title: "CosyVoice vs Amphion" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/funaudiollm-cosyvoice-vs-open-mmlab-amphion" tools: ["funaudiollm-cosyvoice", "open-mmlab-amphion"] --- # CosyVoice vs Amphion *GraphCanon updated Aug 23, 2026* ## Verdict Pick CosyVoice if cosyVoice is a Python-based multi-lingual large voice generation model. It supports extensive capabilities including fine-tuning, TTS (Text-To-Speech), and natural language generation; pick Amphion if amphion offers support for reproducible research in audio, music, and speech generation through Python dependencies and Docker images that junior researchers and engineers can readily use. [CosyVoice](https://funaudiollm.github.io/cosyvoice3) reports 23k GitHub stars, 2.6k forks, and 719 open issues, last pushed May 25, 2026. [Amphion](https://openhlt.github.io/amphion/) has 10.0k stars, 830 forks, and 175 open issues, last pushed Mar 25, 2026. Figures are from public GitHub metadata via [CosyVoice's repository](https://github.com/FunAudioLLM/CosyVoice) and [Amphion's repository](https://github.com/open-mmlab/Amphion). | | [CosyVoice](/tools/funaudiollm-cosyvoice.md) | [Amphion](/tools/open-mmlab-amphion.md) | | --- | --- | --- | | Tagline | Multi-lingual large voice generation model with full-stack abilities for inference, training and deployment. | A toolkit for Audio, Music, and Speech Generation to support reproducible research | | Stars | 22,870 | 9,973 | | Forks | 2,631 | 830 | | Open issues | 719 | 175 | | Language | Python | Python | | Adopt for | CosyVoice is a Python-based multi-lingual large voice generation model. It supports extensive capabilities including fine-tuning, TTS (Text-To-Speech), and natural language generation. | Amphion offers support for reproducible research in audio, music, and speech generation through Python dependencies and Docker images that junior researchers and engineers can readily use. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Inference & Serving, Model Training, Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [CosyVoice](/tools/funaudiollm-cosyvoice.md) | [Amphion](/tools/open-mmlab-amphion.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Slowing (36%) | | Days since push | 89d | 125d | | Open issues (now) | 719 | 175 | | Stars delta | +497 (30d) | Unknown | | Open issues delta | -37 (30d) | Unknown | | Full report | [trust report](/tools/funaudiollm-cosyvoice/trust.md) | [trust report](/tools/open-mmlab-amphion/trust.md) | ## Shared compatibility - **Python**: [CosyVoice](/tools/funaudiollm-cosyvoice.md) - Python runtime; [Amphion](/tools/open-mmlab-amphion.md) - Python runtime ## Decision facts: CosyVoice - **Adopt for:** CosyVoice is a Python-based multi-lingual large voice generation model. It supports extensive capabilities including fine-tuning, TTS (Text-To-Speech), and natural language generation. ## Decision facts: Amphion - **Adopt for:** Amphion offers support for reproducible research in audio, music, and speech generation through Python dependencies and Docker images that junior researchers and engineers can readily use. ## Choose when ### Choose CosyVoice if… - License: CosyVoice is Apache-2.0, Amphion is MIT. - Tags unique to CosyVoice: cantonese, chatbot, chatgpt, chinese. - Also covers Inference & Serving, Model Training. - When you need support for multiple languages like Cantonese, Chinese, English, Japanese, and Korean. ### Choose Amphion if… - License: Amphion is MIT, CosyVoice is Apache-2.0. - Tags unique to Amphion: music-generation, singing-voice-conversion, speech-synthesis, text-to-audio. - Amphion ships Docker support for self-hosted deployment. - When you are new to the field of audio, music, or speech generation and seeking a toolkit that simplifies setup with Python dependencies and Docker images. ## When NOT to use CosyVoice - If your project specifically requires fine-tuned performance in languages not supported by CosyVoice such as Arabic or Spanish. - When strict real-time speech synthesis requirements are essential, as CosyVoice may face delays depending on the environment's computational power and model complexity. ## When NOT to use Amphion - If you require advanced customization beyond what the provided Python packages offer, since Amphion caters more to getting started quickly without deep configuration. ## Common questions ### What is the difference between CosyVoice and Amphion? CosyVoice: Multi-lingual large voice generation model with full-stack abilities for inference, training and deployment.. Amphion: A toolkit for Audio, Music, and Speech Generation to support reproducible research. See the comparison table for live GitHub stats and shared categories. ### When should I choose CosyVoice over Amphion? Choose CosyVoice over Amphion when License: CosyVoice is Apache-2.0, Amphion is MIT; Tags unique to CosyVoice: cantonese, chatbot, chatgpt, chinese; Also covers Inference & Serving, Model Training; When you need support for multiple languages like Cantonese, Chinese, English, Japanese, and Korean. ### When should I choose Amphion over CosyVoice? Choose Amphion over CosyVoice when License: Amphion is MIT, CosyVoice is Apache-2.0; Tags unique to Amphion: music-generation, singing-voice-conversion, speech-synthesis, text-to-audio; Amphion ships Docker support for self-hosted deployment; When you are new to the field of audio, music, or speech generation and seeking a toolkit that simplifies setup with Python dependencies and Docker images. ### When should I avoid CosyVoice? If your project specifically requires fine-tuned performance in languages not supported by CosyVoice such as Arabic or Spanish. When strict real-time speech synthesis requirements are essential, as CosyVoice may face delays depending on the environment's computational power and model complexity. ### When should I avoid Amphion? If you require advanced customization beyond what the provided Python packages offer, since Amphion caters more to getting started quickly without deep configuration. ### Is CosyVoice or Amphion more popular on GitHub? CosyVoice has more GitHub stars (22,870 vs 9,973). Stars measure visibility, not whether either tool fits your constraints. ### Are CosyVoice and Amphion open source? Yes - both are open-source projects on GitHub (CosyVoice: Apache-2.0, Amphion: MIT). ### Where can I find alternatives to CosyVoice or Amphion? GraphCanon lists graph-backed alternatives at [CosyVoice alternatives](/tools/funaudiollm-cosyvoice/alternatives) and [Amphion alternatives](/tools/open-mmlab-amphion/alternatives) ([CosyVoice markdown twin](/tools/funaudiollm-cosyvoice/alternatives.md), [Amphion markdown twin](/tools/open-mmlab-amphion/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/funaudiollm-cosyvoice-vs-open-mmlab-amphion.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, CosyVoice or Amphion? CosyVoice: Steady. Amphion: Slowing. 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 CosyVoice and Amphion? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [CosyVoice trust report](/tools/funaudiollm-cosyvoice/trust); [Amphion trust report](/tools/open-mmlab-amphion/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=funaudiollm-cosyvoice`](/api/graphcanon/graph?tool=funaudiollm-cosyvoice) - 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/_