Comparison
CosyVoice vs TNN
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 TNN if developed by Tencent Labs, TNN offers strong cross-platform performance with efficient model compression and runtime optimization for mobile to server use.
Markdown twin · CosyVoice alternatives · TNN alternatives
GraphCanon updated Oct 3, 2026
Trust & integrity
| Signal | CosyVoice | TNN |
|---|---|---|
| Maintenance | Slowing (117d since push) As of Sep 20, 2026 · github_public_v1 | Dormant (511d since push) As of Oct 3, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Oct 3, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- CosyVoice
- Multi-lingual large voice generation model with full-stack abilities for inference, training and deployment.
- TNN
- A cross-platform deep learning inference framework for diverse computing environments, from mobile to desktop and server.
Stars
- CosyVoice
- 24k
- TNN
- 4.7k
Forks
- CosyVoice
- 2.7k
- TNN
- 771
Open issues
- CosyVoice
- 697
- TNN
- 320
Language
- CosyVoice
- Python
- TNN
- C++
Adopt for
- CosyVoice
- 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.
- TNN
- Developed by Tencent Labs, TNN offers strong cross-platform performance with efficient model compression and runtime optimization for mobile to server use.
Persona
- CosyVoice
- -
- TNN
- -
Runtime
- CosyVoice
- -
- TNN
- -
License
- CosyVoice
- Apache-2.0
- TNN
- Other
Last pushed
- CosyVoice
- May 25, 2026
- TNN
- May 9, 2025
Categories
- CosyVoice
- Inference & Serving, Model Training, Speech & Audio
- TNN
- Inference & Serving
Trust and health
Maintenance
- CosyVoice
- Slowing (36%)
- TNN
- Dormant (18%)
Days since push
- CosyVoice
- 117d
- TNN
- 511d
Open issues (now)
- CosyVoice
- 697
- TNN
- 320
Stars delta
- CosyVoice
- +1.3k (30d)
- TNN
- +14 (30d)
Open issues delta
- CosyVoice
- -59 (30d)
- TNN
- +2 (30d)
Full report
- CosyVoice
- Trust report
- TNN
- Trust report
Choose CosyVoice if…
- CosyVoice is primarily Python; TNN is C++.
- License: CosyVoice is Apache-2.0, TNN is Other.
- Tags unique to CosyVoice: audio-generation, cantonese, chatbot, chatgpt.
- Also covers Model Training, Speech & Audio.
- When you need support for multiple languages like Cantonese, Chinese, English, Japanese, and Korean.
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.
Choose TNN if…
- TNN is primarily C++; CosyVoice is Python.
- License: TNN is Other, CosyVoice is Apache-2.0.
- Tags unique to TNN: coreml, deep-learning, face-detection, hairsegmentaion.
- TNN ships Docker support for self-hosted deployment.
- When developing AI apps for Tencent-affiliated software like Mobile QQ or Weishi
When NOT to use TNN
- If you prefer a framework that heavily integrates with TensorFlow's ecosystem, as TNN has a steeper learning curve when converting models
- When your project primarily relies on Python environments. TNN is C++-centric with no native Python interface.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (FunAudioLLM/CosyVoice) · observed Sep 20, 2026
- GitHub forks (FunAudioLLM/CosyVoice) · observed Sep 20, 2026
- Last push (FunAudioLLM/CosyVoice) · observed May 25, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Tencent/TNN) · observed Oct 3, 2026
- GitHub forks (Tencent/TNN) · observed Oct 3, 2026
- Last push (Tencent/TNN) · observed May 9, 2025
- License file (Other) · observed Oct 3, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: CosyVoice 24k · TNN 4.7k (synced Sep 20, 2026).
Common questions
- What is the difference between CosyVoice and TNN?
- CosyVoice: Multi-lingual large voice generation model with full-stack abilities for inference, training and deployment.. TNN: A cross-platform deep learning inference framework for diverse computing environments, from mobile to desktop and server.. See the comparison table for live GitHub stats and shared categories.
- When should I choose CosyVoice over TNN?
- Choose CosyVoice over TNN when CosyVoice is primarily Python; TNN is C++; License: CosyVoice is Apache-2.0, TNN is Other; Tags unique to CosyVoice: audio-generation, cantonese, chatbot, chatgpt; Also covers Model Training, Speech & Audio; When you need support for multiple languages like Cantonese, Chinese, English, Japanese, and Korean.
- When should I choose TNN over CosyVoice?
- Choose TNN over CosyVoice when TNN is primarily C++; CosyVoice is Python; License: TNN is Other, CosyVoice is Apache-2.0; Tags unique to TNN: coreml, deep-learning, face-detection, hairsegmentaion; TNN ships Docker support for self-hosted deployment; When developing AI apps for Tencent-affiliated software like Mobile QQ or Weishi.
- 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 TNN?
- If you prefer a framework that heavily integrates with TensorFlow's ecosystem, as TNN has a steeper learning curve when converting models When your project primarily relies on Python environments. TNN is C++-centric with no native Python interface.
- Is CosyVoice or TNN more popular on GitHub?
- CosyVoice has more GitHub stars (23,695 vs 4,657). Stars measure visibility, not whether either tool fits your constraints.
- Are CosyVoice and TNN open source?
- Yes - both are open-source projects on GitHub (CosyVoice: Apache-2.0, TNN: Other).
- Where can I find alternatives to CosyVoice or TNN?
- GraphCanon lists graph-backed alternatives at CosyVoice alternatives and TNN alternatives (CosyVoice markdown twin, TNN markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, CosyVoice or TNN?
- CosyVoice: Slowing. TNN: 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 TNN?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: CosyVoice trust report; TNN trust report.