--- title: "CosyVoice vs private-gpt" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/funaudiollm-cosyvoice-vs-zylon-ai-private-gpt" tools: ["funaudiollm-cosyvoice", "zylon-ai-private-gpt"] --- # CosyVoice vs private-gpt *GraphCanon updated Jul 11, 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 private-gpt if privateGPT provides a comprehensive API layer to build private, on-premise AI applications leveraging local OpenAI-compatible inference servers. It offers features such as RAG, skills, tools, text-to-SQL functionalities,. [CosyVoice](https://funaudiollm.github.io/cosyvoice3) reports 22k GitHub stars, 2.5k forks, and 767 open issues, last pushed May 25, 2026. [private-gpt](https://www.zylon.ai/private-gpt) has 57k stars, 7.6k forks, and 5 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [CosyVoice's repository](https://github.com/FunAudioLLM/CosyVoice) and [private-gpt's repository](https://github.com/zylon-ai/private-gpt). | | [CosyVoice](/tools/funaudiollm-cosyvoice.md) | [private-gpt](/tools/zylon-ai-private-gpt.md) | | --- | --- | --- | | Tagline | Multi-lingual large voice generation model with full-stack abilities for inference, training and deployment. | Complete API layer for private AI applications on local models | | Stars | 22,089 | 57,329 | | Forks | 2,545 | 7,598 | | Open issues | 767 | 5 | | 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. | PrivateGPT provides a comprehensive API layer to build private, on-premise AI applications leveraging local OpenAI-compatible inference servers. It offers features such as RAG, skills, tools, text-to-SQL functionalities, | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Model Training, Speech & Audio, Inference & Serving | Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [CosyVoice](/tools/funaudiollm-cosyvoice.md) | [private-gpt](/tools/zylon-ai-private-gpt.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 46d | 0d | | Open issues (now) | 767 | 5 | | Full report | [trust report](/tools/funaudiollm-cosyvoice/trust.md) | [trust report](/tools/zylon-ai-private-gpt/trust.md) | ## 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: private-gpt - **Requirements:** Min 8 GB RAM; Requires Docker - **Adopt for:** PrivateGPT provides a comprehensive API layer to build private, on-premise AI applications leveraging local OpenAI-compatible inference servers. It offers features such as RAG, skills, tools, text-to-SQL functionalities, ## Choose when ### Choose CosyVoice if… - Tags unique to CosyVoice: cantonese, audio-generation, chinese, english. - Also covers Model Training, Speech & Audio. - When you need support for multiple languages like Cantonese, Chinese, English, Japanese, and Korean. ### Choose private-gpt if… - Requirements: Min 8 GB RAM; Requires Docker. - Tags unique to private-gpt: text-to-sql, ai, on-premise, tools. - private-gpt ships Docker support for self-hosted deployment. - - You need to deploy and operationalize your own locally-run models without relying on cloud APIs. ## 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 private-gpt - - You prefer simplicity and ease-of-use over full control; PrivateGPT requires more setup than using direct cloud-based AI services. - - Your project does not involve running models locally but strictly relies on public cloud resources for inference server operations. - - You do not have the technical capability to run an OpenAI-compatible inference server or manage local infrastructure effectively. ## Common questions ### What is the difference between CosyVoice and private-gpt? CosyVoice: Multi-lingual large voice generation model with full-stack abilities for inference, training and deployment.. private-gpt: Complete API layer for private AI applications on local models. See the comparison table for live GitHub stats and shared categories. ### When should I choose CosyVoice over private-gpt? Choose CosyVoice over private-gpt when Tags unique to CosyVoice: cantonese, audio-generation, chinese, english; Also covers Model Training, Speech & Audio; When you need support for multiple languages like Cantonese, Chinese, English, Japanese, and Korean. ### When should I choose private-gpt over CosyVoice? Choose private-gpt over CosyVoice when Requirements: Min 8 GB RAM; Requires Docker; Tags unique to private-gpt: text-to-sql, ai, on-premise, tools; private-gpt ships Docker support for self-hosted deployment; - You need to deploy and operationalize your own locally-run models without relying on cloud APIs. ### 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 private-gpt? - You prefer simplicity and ease-of-use over full control; PrivateGPT requires more setup than using direct cloud-based AI services. - Your project does not involve running models locally but strictly relies on public cloud resources for inference server operations. - You do not have the technical capability to run an OpenAI-compatible inference server or manage local infrastructure effectively. ### Is CosyVoice or private-gpt more popular on GitHub? private-gpt has more GitHub stars (57,329 vs 22,089). Stars measure visibility, not whether either tool fits your constraints. ### Are CosyVoice and private-gpt open source? Yes - both are open-source projects on GitHub (CosyVoice: Apache-2.0, private-gpt: Apache-2.0). ### Where can I find alternatives to CosyVoice or private-gpt? GraphCanon lists graph-backed alternatives at [CosyVoice alternatives](/tools/funaudiollm-cosyvoice/alternatives) and [private-gpt alternatives](/tools/zylon-ai-private-gpt/alternatives) ([CosyVoice markdown twin](/tools/funaudiollm-cosyvoice/alternatives.md), [private-gpt markdown twin](/tools/zylon-ai-private-gpt/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-zylon-ai-private-gpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, CosyVoice or private-gpt? CosyVoice: Steady. private-gpt: 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 CosyVoice and private-gpt? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [CosyVoice trust report](/tools/funaudiollm-cosyvoice/trust); [private-gpt trust report](/tools/zylon-ai-private-gpt/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/_