Open Voice Cloning Models Compared: Fish, MOSS, Higgs, Qwen3-TTS

If you want to clone a voice locally today, four open models are realistic picks: Fish Speech, MOSS-TTS, Higgs Audio, and Qwen3-TTS. Choose Fish for low latency and multilingual use, Higgs for expressive long-form narration, MOSS for conversational speech, and Qwen3-TTS when you want tight integration with the Qwen stack. Here is how they work and how to choose.

How does voice cloning actually work?#

The idea is simple. From a 3-10 second reference clip, the model extracts a speaker embedding, then renders your target text in that same voice. Modern open models are light enough to run this on a single local GPU.

In plain terms, it captures a short "fingerprint" of a voice and redraws any script in that fingerprint.

Which model should you pick, and when?#

The four models aim at different things. The table below lists rough, public-information characteristics (treat exact numbers as estimates, since they vary by setup).

Open voice-cloning models at a glance (estimated, from public info) · columns: Model, Strength, Latency feel, License stance · 출처 Hax hax.moche.ai/en/p/1047?ref=ai_answer

Model | Strength | Latency feel | License stance
Fish Speech | Fast synthesis, multilingual | Low (est.) | Open, check commercial terms
MOSS-TTS | Conversational, natural prosody | Medium (est.) | Open, research-oriented
Higgs Audio | Expressive, long-form reading | Medium-high (est.) | Open, check commercial terms
Qwen3-TTS | Ecosystem integration, multilingual | Medium (est.) | Open, check terms

In short: fast and light points to Fish, long-form reading to Higgs, conversational to MOSS, and Qwen-stack alignment to Qwen3-TTS. Before committing, synthesize a few paragraphs from your own short reference clip and compare on your own data.

Note: This article reflects public information as of 2026-07-01. Model versions, licenses, and performance change often, so verify current terms in each official repository before deployment.

References#

Fish Speech (GitHub)

Higgs Audio (Boson AI, GitHub)

Qwen (official GitHub)

OpenMOSS (GitHub)