---
title: "CosyVoice vs quillman"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/funaudiollm-cosyvoice-vs-modal-labs-quillman"
tools: ["funaudiollm-cosyvoice", "modal-labs-quillman"]
---

# CosyVoice vs quillman

*GraphCanon updated Jul 12, 2026*

## Verdict

Pick CosyVoice when license: CosyVoice is Apache-2.0, quillman is MIT; pick quillman when license: quillman is MIT, CosyVoice is Apache-2.0.

[CosyVoice](https://funaudiollm.github.io/cosyvoice3) reports 22k GitHub stars, 2.5k forks, and 767 open issues, last pushed May 25, 2026. [quillman](https://modal.com/docs/examples/llm-voice-chat) has 1.2k stars, 158 forks, and 4 open issues, last pushed May 28, 2026. Figures are from public GitHub metadata via [CosyVoice's repository](https://github.com/FunAudioLLM/CosyVoice) and [quillman's repository](https://github.com/modal-labs/quillman).

| | [CosyVoice](/tools/funaudiollm-cosyvoice.md) | [quillman](/tools/modal-labs-quillman.md) |
| --- | --- | --- |
| Tagline | Multi-lingual large voice generation model with full-stack abilities for inference, training and deployment. | A voice chat app |
| Stars | 22,089 | 1,210 |
| Forks | 2,545 | 158 |
| Open issues | 767 | 4 |
| 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. | - |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | MIT |
| Categories | Model Training, Inference & Serving, Speech & Audio | Speech & Audio |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [CosyVoice](/tools/funaudiollm-cosyvoice.md) | [quillman](/tools/modal-labs-quillman.md) |
| --- | --- | --- |
| Days since push | 46d | 44d |
| Open issues (now) | 767 | 4 |
| Full report | [trust report](/tools/funaudiollm-cosyvoice/trust.md) | [trust report](/tools/modal-labs-quillman/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.

## Choose when

### Choose CosyVoice if…

- License: CosyVoice is Apache-2.0, quillman is MIT.
- Tags unique to CosyVoice: cantonese, audio-generation, chinese, english.
- Also covers Model Training, Inference & Serving.
- When you need support for multiple languages like Cantonese, Chinese, English, Japanese, and Korean.

### Choose quillman if…

- License: quillman is MIT, CosyVoice is Apache-2.0.
- Tags unique to quillman: ai, speech-to-text, python, serverless.
- More recently updated (last pushed May 28, 2026).

## 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.

## Common questions

### What is the difference between CosyVoice and quillman?

CosyVoice: Multi-lingual large voice generation model with full-stack abilities for inference, training and deployment.. quillman: A voice chat app. See the comparison table for live GitHub stats and shared categories.

### When should I choose CosyVoice over quillman?

Choose CosyVoice over quillman when License: CosyVoice is Apache-2.0, quillman is MIT; Tags unique to CosyVoice: cantonese, audio-generation, chinese, english; Also covers Model Training, Inference & Serving; When you need support for multiple languages like Cantonese, Chinese, English, Japanese, and Korean.

### When should I choose quillman over CosyVoice?

Choose quillman over CosyVoice when License: quillman is MIT, CosyVoice is Apache-2.0; Tags unique to quillman: ai, speech-to-text, python, serverless; More recently updated (last pushed May 28, 2026).

### 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.

### Is CosyVoice or quillman more popular on GitHub?

CosyVoice has more GitHub stars (22,089 vs 1,210). Stars measure visibility, not whether either tool fits your constraints.

### Are CosyVoice and quillman open source?

Yes - both are open-source projects on GitHub (CosyVoice: Apache-2.0, quillman: MIT).

### Where can I find alternatives to CosyVoice or quillman?

GraphCanon lists graph-backed alternatives at [CosyVoice alternatives](/tools/funaudiollm-cosyvoice/alternatives) and [quillman alternatives](/tools/modal-labs-quillman/alternatives) ([CosyVoice markdown twin](/tools/funaudiollm-cosyvoice/alternatives.md), [quillman markdown twin](/tools/modal-labs-quillman/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-modal-labs-quillman.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, CosyVoice or quillman?

CosyVoice: Steady. quillman: Steady. 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 quillman?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [CosyVoice trust report](/tools/funaudiollm-cosyvoice/trust); [quillman trust report](/tools/modal-labs-quillman/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/_
