How are these rankings determined?

We rank by the criteria listed at the top of this page: Reference-sample efficiency (seconds of audio needed); Cross-language voice retention; Emotion and prosody fidelity. Where two models are close, we prefer the one with stronger production deployment evidence at the time of writing. Read the full methodology for our standards.

Are open-source models on this list?

Yes where they're competitive. Each entry below shows whether the model ships open weights and under what license.

How often is this list updated?

Weekly. New launches that affect the ranking get reflected within seven days. The "last updated" stamp at the top of the page reflects the most recent dataset commit.

How are these rankings determined?

We rank by the criteria listed at the top of this page: Reference-sample efficiency (seconds of audio needed); Cross-language voice retention; Emotion and prosody fidelity. Where two models are close, we prefer the one with stronger production deployment evidence at the time of writing. Read the full methodology for our standards.

Are open-source models on this list?

Yes where they're competitive. Each entry below shows whether the model ships open weights and under what license.

How often is this list updated?

Weekly. New launches that affect the ranking get reflected within seven days. The "last updated" stamp at the top of the page reflects the most recent dataset commit.

Use case

Best Voice Cloning Models in 2026

Cloning a voice from a short reference audio sample.

UpdatedApr 30, 2026

How we ranked

Reference-sample efficiency (seconds of audio needed)
Cross-language voice retention
Emotion and prosody fidelity
Latency for streaming use cases
Misuse safeguards

Read the full methodology for our sourcing and ranking standards.

Voice cloning lives outside the LLM chat APIs, the leaders are dedicated TTS providers (ElevenLabs, Play.ht, Cartesia). LLMDex tracks them under the Tools section rather than Models because they don't surface as text-token APIs.

If you need voice cloning, start at our /alternatives/elevenlabs page for the live ranking.

For interactive voice (low-latency, conversational), Cartesia and ElevenLabs Turbo remain the picks.

This category is currently tracked but has no LLM-tier ranking, the leaders live in the dedicated tools section. See our alternatives index for the full picks.

How to choose

Don't pick on the headline ranking alone. Run your top two picks on a representative sample of your own workload and compare. The numbers in this list are sound, but task-specific quality varies in ways no benchmark fully captures. The criteria above are the right axes to evaluate on, but the weighting depends on your stack.

Cost-sensitive workloads, start with the cheapest of the top three; escalate only if quality is the bottleneck.
Privacy-sensitive workloads, filter to open-weight picks above. They're labeled with a green badge.
Latency-sensitive workloads, see the Fastest LLMs list, which can override task-specific picks.

Frequently asked

How are these rankings determined?
We rank by the criteria listed at the top of this page: Reference-sample efficiency (seconds of audio needed); Cross-language voice retention; Emotion and prosody fidelity. Where two models are close, we prefer the one with stronger production deployment evidence at the time of writing. Read the full methodology for our standards.
Are open-source models on this list?
Yes where they're competitive. Each entry below shows whether the model ships open weights and under what license.
How often is this list updated?
Weekly. New launches that affect the ranking get reflected within seven days. The "last updated" stamp at the top of the page reflects the most recent dataset commit.

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How we ranked

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