Home/Compare/CosyVoice vs whisper.cpp

Comparison

CosyVoice vs whisper.cpp

Verdict

Pick CosyVoice when cosyVoice is primarily Python; whisper.cpp is C++; pick whisper.cpp when whisper.cpp is primarily C++; CosyVoice is Python.

Markdown twin · CosyVoice alternatives · whisper.cpp alternatives

GraphCanon updated today

CosyVoice logo

CosyVoice

FunAudioLLM/CosyVoice

22kpushed May 25, 2026
vs
whisper.cpp logo

whisper.cpp

ggml-org/whisper.cpp

52kpushed Jul 11, 2026

Trust & integrity

SignalCosyVoicewhisper.cpp
Maintenance
Steady (46d since push)
As of today · github_public_v1
Very active (0d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of today · none

Tagline

CosyVoice
Multi-lingual large voice generation model with full-stack abilities for inference, training and deployment.
whisper.cpp
Port of OpenAI's Whisper model in C/C++

Stars

CosyVoice
22k
whisper.cpp
52k

Forks

CosyVoice
2.5k
whisper.cpp
5.9k

Open issues

CosyVoice
767
whisper.cpp
1.2k

Language

CosyVoice
Python
whisper.cpp
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.
whisper.cpp
-

Persona

CosyVoice
-
whisper.cpp
-

Runtime

CosyVoice
-
whisper.cpp
-

License

CosyVoice
Apache-2.0
whisper.cpp
MIT

Last pushed

CosyVoice
May 25, 2026
whisper.cpp
Jul 11, 2026

Categories

CosyVoice
Model Training, Speech & Audio, Inference & Serving
whisper.cpp
Model Training, Speech & Audio, Inference & Serving

Trust and health

Maintenance

CosyVoice
Steady (60%)
whisper.cpp
Very active (96%)

Days since push

CosyVoice
46d
whisper.cpp
0d

Open issues (now)

CosyVoice
767
whisper.cpp
1.2k

Full report

CosyVoice
Trust report
whisper.cpp
Trust report

Choose CosyVoice if…

  • CosyVoice is primarily Python; whisper.cpp is C++.
  • License: CosyVoice is Apache-2.0, whisper.cpp is MIT.
  • Tags unique to CosyVoice: cantonese, audio-generation, chinese, english.
  • 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 whisper.cpp if…

  • whisper.cpp is primarily C++; CosyVoice is Python.
  • License: whisper.cpp is MIT, CosyVoice is Apache-2.0.
  • Tags unique to whisper.cpp: speech-to-text, c++, openai, transformer.

When NOT to use whisper.cpp

  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: CosyVoice 22k · whisper.cpp 52k (synced Jul 11, 2026).

Common questions

What is the difference between CosyVoice and whisper.cpp?
CosyVoice: Multi-lingual large voice generation model with full-stack abilities for inference, training and deployment.. whisper.cpp: Port of OpenAI's Whisper model in C/C++. See the comparison table for live GitHub stats and shared categories.
When should I choose CosyVoice over whisper.cpp?
Choose CosyVoice over whisper.cpp when CosyVoice is primarily Python; whisper.cpp is C++; License: CosyVoice is Apache-2.0, whisper.cpp is MIT; Tags unique to CosyVoice: cantonese, audio-generation, chinese, english; When you need support for multiple languages like Cantonese, Chinese, English, Japanese, and Korean.
When should I choose whisper.cpp over CosyVoice?
Choose whisper.cpp over CosyVoice when whisper.cpp is primarily C++; CosyVoice is Python; License: whisper.cpp is MIT, CosyVoice is Apache-2.0; Tags unique to whisper.cpp: speech-to-text, c++, openai, transformer.
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 whisper.cpp?
Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Is CosyVoice or whisper.cpp more popular on GitHub?
whisper.cpp has more GitHub stars (51,715 vs 22,089). Stars measure visibility, not whether either tool fits your constraints.
Are CosyVoice and whisper.cpp open source?
Yes - both are open-source projects on GitHub (CosyVoice: Apache-2.0, whisper.cpp: MIT).
Where can I find alternatives to CosyVoice or whisper.cpp?
GraphCanon lists graph-backed alternatives at CosyVoice alternatives and whisper.cpp alternatives (CosyVoice markdown twin, whisper.cpp 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 whisper.cpp?
CosyVoice: Steady. whisper.cpp: 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 whisper.cpp?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: CosyVoice trust report; whisper.cpp trust report.