--- title: "CosyVoice vs RLTF" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/funaudiollm-cosyvoice-vs-zyq-scut-rltf" tools: ["funaudiollm-cosyvoice", "zyq-scut-rltf"] --- # CosyVoice vs RLTF *GraphCanon updated Jul 12, 2026* ## Verdict Pick CosyVoice when license: CosyVoice is Apache-2.0, RLTF is BSD-3-Clause; pick RLTF when license: RLTF is BSD-3-Clause, 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. [RLTF](https://github.com/Zyq-scut/RLTF) has 135 stars, 7 forks, and 0 open issues, last pushed Oct 5, 2024. Figures are from public GitHub metadata via [CosyVoice's repository](https://github.com/FunAudioLLM/CosyVoice) and [RLTF's repository](https://github.com/Zyq-scut/RLTF). | | [CosyVoice](/tools/funaudiollm-cosyvoice.md) | [RLTF](/tools/zyq-scut-rltf.md) | | --- | --- | --- | | Tagline | Multi-lingual large voice generation model with full-stack abilities for inference, training and deployment. | Accepted by Transactions on Machine Learning Research (TMLR) | | Stars | 22,089 | 135 | | Forks | 2,545 | 7 | | Open issues | 767 | 0 | | 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 | BSD-3-Clause | | Categories | Model Training, Inference & Serving, Speech & Audio | Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [CosyVoice](/tools/funaudiollm-cosyvoice.md) | [RLTF](/tools/zyq-scut-rltf.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Dormant (18%) | | Days since push | 46d | 644d | | Open issues (now) | 767 | 0 | | Owner type | Organization | User | | Security scan | No lockfile | 75 low (75 low) | | Full report | [trust report](/tools/funaudiollm-cosyvoice/trust.md) | [trust report](/tools/zyq-scut-rltf/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, RLTF is BSD-3-Clause. - Tags unique to CosyVoice: cantonese, audio-generation, chinese, english. - Also covers Inference & Serving, Speech & Audio. - When you need support for multiple languages like Cantonese, Chinese, English, Japanese, and Korean. ### Choose RLTF if… - License: RLTF is BSD-3-Clause, CosyVoice is Apache-2.0. - Tags unique to RLTF: python. - Leaner open-issue backlog (0). ## 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 RLTF - Last GitHub push was 644 days ago (dormant maintenance, Oct 5, 2024). Validate activity before betting a new project on RLTF. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## Common questions ### What is the difference between CosyVoice and RLTF? CosyVoice: Multi-lingual large voice generation model with full-stack abilities for inference, training and deployment.. RLTF: Accepted by Transactions on Machine Learning Research (TMLR). See the comparison table for live GitHub stats and shared categories. ### When should I choose CosyVoice over RLTF? Choose CosyVoice over RLTF when License: CosyVoice is Apache-2.0, RLTF is BSD-3-Clause; Tags unique to CosyVoice: cantonese, audio-generation, chinese, english; Also covers Inference & Serving, Speech & Audio; When you need support for multiple languages like Cantonese, Chinese, English, Japanese, and Korean. ### When should I choose RLTF over CosyVoice? Choose RLTF over CosyVoice when License: RLTF is BSD-3-Clause, CosyVoice is Apache-2.0; Tags unique to RLTF: python; Leaner open-issue backlog (0). ### 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 RLTF? Last GitHub push was 644 days ago (dormant maintenance, Oct 5, 2024). Validate activity before betting a new project on RLTF. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### Is CosyVoice or RLTF more popular on GitHub? CosyVoice has more GitHub stars (22,089 vs 135). Stars measure visibility, not whether either tool fits your constraints. ### Are CosyVoice and RLTF open source? Yes - both are open-source projects on GitHub (CosyVoice: Apache-2.0, RLTF: BSD-3-Clause). ### Where can I find alternatives to CosyVoice or RLTF? GraphCanon lists graph-backed alternatives at [CosyVoice alternatives](/tools/funaudiollm-cosyvoice/alternatives) and [RLTF alternatives](/tools/zyq-scut-rltf/alternatives) ([CosyVoice markdown twin](/tools/funaudiollm-cosyvoice/alternatives.md), [RLTF markdown twin](/tools/zyq-scut-rltf/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-zyq-scut-rltf.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, CosyVoice or RLTF? CosyVoice: Steady. RLTF: Dormant. 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 RLTF? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [CosyVoice trust report](/tools/funaudiollm-cosyvoice/trust); [RLTF trust report](/tools/zyq-scut-rltf/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/_