Skip to content
ReviewRamble

The weekly brief

AI, reviewed, in your inbox.

  • New reviews of tools, models, MCP servers and repos, with the verdict up front
  • Re-checked prices and ratings when something changes
  • New analysis pieces as they are published

Models, agents, MCP servers and the tools actually worth your time.

One email a week. Unsubscribe with the link in any brief. How we use your email

Zonos v2 (ZONOS2)

Zyphra's open mixture-of-experts text-to-speech model: high-fidelity voice cloning across about 35 languages, with a local streaming server.

Reviewed by ReviewRamble editors · Updated

Share this page:XLinkedInFacebookRedditWhatsAppEmail

Our rating

3.9/5

A capable open voice-cloning model with unusually broad language coverage, let down by the absence of any published quality or latency numbers and a Linux-plus-NVIDIA-only footprint.

What is Zonos v2 (ZONOS2)?

Zonos v2 is an open text-to-speech model from Zyphra, published on Hugging Face in June 2026 under Apache 2.0. Zyphra says it was trained on more than 6 million hours of varied multilingual speech and uses a mixture-of-experts backbone. At inference it normalises text to UTF-8 bytes, captures a speaker's voice with an ECAPA-TDNN embedding, and generates DAC audio-codec tokens.

It covers roughly 35 languages in three quality tiers, with English, Mandarin Chinese and Japanese at the top, and it is built for voice cloning from a short audio sample or a saved embedding. The release ships a local inference server built on Mini-SGLang that runs on localhost:1919 with a web UI, a streaming endpoint returning 44.1 kHz mono PCM, and an offline Python API. A hosted version runs at Zyphra's cloud playground. It requires Linux x86_64 and an NVIDIA GPU with CUDA.

Is Zonos v2 (ZONOS2) worth it?

The reason to look at Zonos v2 is that it is genuinely open and genuinely multilingual. Trained on more than 6 million hours of speech, it handles about 35 languages across three tiers, and it clones a voice from a short sample using an ECAPA-TDNN speaker embedding rather than needing a fine-tune per voice. Under Apache 2.0, that combination is rare: most voice-cloning systems this flexible are closed APIs like ElevenLabs.

The packaging is practical. The local server built on Mini-SGLang gives you a web UI and a streaming endpoint that returns raw 44.1 kHz mono audio, and the offline Python API handles batched prompts, so it slots into a pipeline without a hosted dependency. For teams that must keep audio on their own machines, that matters.

The catch: the model card makes no measurable claims. It says quality is "on par with or even surpassing" top providers "at low latency", but publishes no benchmark, no sample set and no latency figure, leaving those to a linked blog post. For a speech model, where naturalness and real-time factor are the whole question, that is a real gap, and you cannot judge it without running it yourself. It also runs only on Linux x86_64 with an NVIDIA CUDA GPU, so there is no Apple Silicon or CPU path.

Two more things to weigh. The default server listens on port 1919, so treat it as you would any local service and keep it off the open network. And high-fidelity voice cloning carries an obvious misuse risk: the model will imitate any voice you feed it, with no consent check of its own. Zyphra has since moved on to Zonos 3, with a smaller ZONOS3-Mini published in November 2026, so v2 is no longer the newest line.

Our take: for a self-hosted, permissively licensed cloning voice across many languages it is worth trying, but audition it against Chatterbox and a hosted option on your own text before you commit, because the project gives you no numbers to trust.

Where it earns its place

  • An indie game studio localising dialogue

    Generate consistent character voices in several languages without per-language voice actors

    Clone a reference voice from a short sample and synthesise lines across the tier-1 and tier-2 languages through the offline Python API, keeping all audio on your own hardware. Audition the output first, since the card publishes no quality numbers.

  • An accessibility team building a private screen reader

    Produce natural speech locally without sending text to a cloud API

    Run the Mini-SGLang server on an NVIDIA Linux machine and call the streaming endpoint for 44.1 kHz audio, keeping the service bound to localhost:1919 rather than the open network.

  • A developer comparing open TTS models

    Decide whether an open model can replace a paid voice API

    Test Zonos v2 against Chatterbox and a hosted option on your own scripts and languages; because Zyphra publishes no benchmark, your own listening test is the only basis for the choice.

Before you commit

Setup
Weights on Hugging Face; the local server runs on Linux x86_64 with an NVIDIA CUDA GPU, serving a web UI on localhost:1919. An offline Python API (TTSLLM) handles batched prompts; a hosted playground runs at cloud.zyphra.com.
Integrations
Streaming endpoint returning float32 PCM at 44.1 kHz mono; clone voices from .wav, .mp3, .flac or saved .npy/.npz embeddings; hosted API at Zyphra cloud.
Data and privacy
Apache 2.0 weights run entirely on your own hardware, so no audio or text need leave the machine when self-hosted. The hosted playground follows Zyphra's own terms, which the card does not restate.
Cost at scale
No licence fee; the cost is the NVIDIA GPU to run it. The mixture-of-experts backbone is pitched as low-latency, but the card gives no throughput or real-time-factor figure to size a deployment.
Limits
Linux x86_64 and NVIDIA only; no published quality or latency numbers; no built-in consent control for cloned voices; superseded by Zonos 3.

What’s good

  • Apache 2.0 weights with voice cloning from a short sample
  • About 35 languages across three tiers
  • Local streaming server and offline Python API, no cloud needed
  • Trained on more than 6 million hours of speech

What’s not

  • No published quality, sample or latency numbers
  • Linux x86_64 and NVIDIA CUDA only
  • Cloning any voice with no built-in consent check
  • Superseded by Zonos 3 (ZONOS3-Mini, November 2026)

Best for

Developers who need a self-hosted, permissively licensed voice-cloning TTS across many languages and can run it on an NVIDIA Linux box.

Zonos v2 (ZONOS2) alternatives

Zonos v2 (ZONOS2): common questions

Is Zonos v2 (ZONOS2) worth it?
A capable open voice-cloning model with unusually broad language coverage, let down by the absence of any published quality or latency numbers and a Linux-plus-NVIDIA-only footprint. We rate it 3.9 out of 5.
How much does Zonos v2 (ZONOS2) cost?
Free weights under Apache 2.0. A hosted playground and API run at cloud.zyphra.com; API pricing is not restated on the model card.
What are the downsides of Zonos v2 (ZONOS2)?
No published quality, sample or latency numbers; linux x86_64 and NVIDIA CUDA only; cloning any voice with no built-in consent check; superseded by Zonos 3 (ZONOS3-Mini, November 2026).
Who is Zonos v2 (ZONOS2) best for?
Developers who need a self-hosted, permissively licensed voice-cloning TTS across many languages and can run it on an NVIDIA Linux box.
How much does Zonos v2 (ZONOS2) cost for a team or in production?
No licence fee; the cost is the NVIDIA GPU to run it. The mixture-of-experts backbone is pitched as low-latency, but the card gives no throughput or real-time-factor figure to size a deployment.
Is Zonos v2 (ZONOS2) safe for company data?
Apache 2.0 weights run entirely on your own hardware, so no audio or text need leave the machine when self-hosted. The hosted playground follows Zyphra's own terms, which the card does not restate.
What are the best Zonos v2 (ZONOS2) alternatives?
The closest alternatives we have reviewed are Chatterbox, Sesame CSM-1B and Eleven v4 and v4 Turbo.

Answers checked Nov 14, 2026.