CosyVoice vs Fish Speech
CosyVoice (Full-stack open TTS from Alibaba's speech team: 9 languages plus 18+ Chinese dialects, 150 ms streaming latency claim, instruction control of emotion/dialect/speed, and training + deployment scripts under Apache-2.0.) and Fish Speech (Top-tier expressive multilingual open-weights TTS whose license moved from permissive to research/non-commercial; commercial use requires a license from Fish Audio or their hosted API.) are Text-to-speech APIs platforms, priced from $0 license (self-host) and $0 license (self-host) respectively. Below: the bottom line, verified head-to-head facts, and real production costs.
Fish Speech wins 3 of the 4 use cases already decided. It supports 80 languages versus CosyVoice's 9, making it the stronger default for multilingual products like dubbing and localization. Its 31,300 GitHub stars versus 22,288 also signal broader community adoption. CosyVoice holds an edge for self-hosted deployments needing permissive Apache-2.0 licensing and lighter hardware, but that is a narrower audience. For most buyers, Fish Speech is the safer overall choice.
Head-to-head facts
Every row independently verified| Fact | ||
|---|---|---|
| Streaming audio output | ✓ YesJul 20 | ✓ YesJul 20 |
| Instant voice cloning | ✓ YesJul 20 | ✓ YesJul 20 |
| Languages supported | 9 languagesJul 20 | 80 languagesJul 20 |
| Model weights license | Apache-2.0Jul 20 | Fish Audio Research License (custom, non-commercial)Jul 20 |
Verdicts by use case
For audiobook production, multilingual coverage is critical for global catalogs. Fish Speech supports 80 languages versus CosyVoice's 9, a decisive gap for non-English content. Fish Speech also offers a hosted API that reduces per-character cost friction in long-form production pipelines. Both tools provide emotion and style controls, streaming, and self-hosting options. CosyVoice holds an advantage with its Apache-2.0 license, enabling freer commercial use, while Fish Speech's custom non-commercial license may restrict audiobook publishers. Despite that licensing caveat, Fish Speech's 80-language breadth tips the scale narrowly in its favor for broad audiobook use cases.
Dubbing and localization depends primarily on language coverage and voice cloning across those languages. Fish Speech supports 80 languages versus CosyVoice's 9 languages, a nearly 9x advantage. Both tools offer instant voice cloning, but Fish Speech's broader language support makes it vastly more feasible for multi-market dubbing workflows. The licensing difference (Apache-2.0 for CosyVoice vs custom non-commercial for Fish Speech) is a consideration, but the language coverage gap is decisive for this use case.
For self-hosting, licensing is critical. CosyVoice uses Apache-2.0, permitting commercial use freely, while Fish Speech uses a custom non-commercial research license, blocking most production deployments. CosyVoice also runs on a lighter 0.5B model with Python 3.10 as the main hardware requirement, versus Fish Speech requiring a GPU with benchmarks on an NVIDIA H200 and a 4B model. Both are actively maintained, but the permissive license and lower hardware bar make CosyVoice the clear winner for practical self-hosting.
Both tools support streaming output and instant voice cloning, which are baseline requirements for voice agents. Fish Speech streaming is verified while CosyVoice streaming is only vendor-claimed, giving Fish Speech a credibility edge on the most critical latency feature. Fish Speech also supports 80 languages versus CosyVoice's 9, which matters for global phone agent deployments. Fish Speech has a hosted API available, reducing deployment friction for production voice bots. CosyVoice's Apache-2.0 license is more permissive than Fish Speech's custom non-commercial license, which is a real commercial drawback, keeping this a narrow rather than clear decision.
Common questions
Which tool supports more languages, CosyVoice or Fish Speech?+−
Fish Speech supports 80 languages, while CosyVoice supports 9 languages. If broad multilingual coverage is a priority for your application, Fish Speech has a significant advantage in this area.
Can I use either tool for commercial projects without restrictions?+−
CosyVoice model weights are licensed under Apache 2.0, which explicitly permits commercial use. Fish Speech, by contrast, uses a custom Fish Audio Research License that restricts commercial use. For commercial deployments, CosyVoice offers the clearer and more permissive licensing path.
Do both CosyVoice and Fish Speech support instant voice cloning?+−
Both CosyVoice and Fish Speech support instant voice cloning. This feature has been verified for both tools, so either is a viable option if zero-shot or rapid voice cloning is a core requirement.
What hardware do I need to self-host Fish Speech vs CosyVoice?+−
Fish Speech recommends a GPU and includes benchmarks on an NVIDIA H200, making it more hardware-intensive. CosyVoice requires Python 3.10 as its noted hardware requirement, suggesting a lighter baseline setup.
Which model is larger, CosyVoice or Fish Speech?+−
Fish Speech uses a 4B parameter flagship model, while CosyVoice 2.0 uses a 0.5B parameter model. The larger Fish Speech model may offer different quality or capability trade-offs, but it requires significantly more compute resources.
Is there a hosted API option if I do not want to self-host?+−
Fish Speech offers a verified hosted API. The available facts do not confirm a hosted API for CosyVoice, though both tools support self-hosting with on-premises deployment options.
Do CosyVoice and Fish Speech both support emotion and style controls?+−
Both tools support emotion and style controls. This means you can adjust the expressive qualities of synthesized speech in both CosyVoice and Fish Speech.
Which tool has more community traction based on GitHub stars?+−
Fish Speech has 31,300 GitHub stars compared to CosyVoice's 22,288 stars. Both projects are actively maintained, but Fish Speech currently shows higher community engagement by this metric.
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