Kyutai Moshi vs LOVO AI

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

	Kyutai Moshi Audio	LOVO AI Audio
Tagline	Open-source, full-duplex speech-to-speech foundation model with sub-200ms latency	Text-to-speech and voice cloning platform with 500+ voices, an integrated video editor, and a developer API.
Category	Audio	Audio
Pricing	Free· Free and open source. Models under CC-BY 4.0, code under MIT (Python) / Apache 2.0 (Rust). Self-hosted only — you pay your own compute (24GB+ GPU for PyTorch, or Apple Silicon via MLX).	Freemium· 14-day free Pro trial, no credit card; paid subscription tiers
Model	Moshi (7B-class speech-text foundation model) + Mimi neural audio codec, in-house by Kyutai	Proprietary (LOVO Pro V2 voices)
Editorial score	—	7.2 / 10
Use cases	Real-time voice assistant prototypesResearch on full-duplex spoken dialogueOn-device voice interaction on Apple Silicon via MLXLow-latency conversational agents behind WebSocketNeural audio codec experimentation with MimiSelf-hosted voice interface for privacy-sensitive appsSpeech tokenizer for downstream audio LLM trainingInterruptible in-car or wearable voice UX	text-to-speechvoice-cloningvideo-voiceovere-learning narrationpodcast productionai-subtitles
Pros	Truly full-duplex — handles interruptions, overlap and back-channels rather than rigid turn-taking Sub-200ms practical latency on a single L4 GPU, well below third-party voice APIs Fully open weights (CC-BY 4.0) plus MIT/Apache code — self-host with no per-minute billing Ships with Mimi, a streaming neural audio codec that beats SpeechTokenizer and SemantiCodec Multiple inference backends: PyTorch for research, Rust/Candle for production, MLX for on-device Mac/iPhone Inner-monologue text prediction gives you a transcript alongside the audio stream for free	500+ voices across 100+ languages with expressive 'Pro V2' delivery Voice cloning from roughly one minute of reference audio All-in-one stack: TTS, video editor, subtitles, script writer, art Public API for embedding TTS into your own apps 14-day Pro trial without a credit card
Cons	English-only voices at launch — no multilingual support out of the box Knowledge and reasoning quality trail top text LLMs; it's a 7B-class model, not GPT-4o Voice Requires a 24GB+ GPU for the reference PyTorch build; on-device is only viable via MLX on Apple Silicon No hosted API or SaaS tier — you own the ops, scaling and safety filtering Only two fixed synthetic voices (Moshiko/Moshika); no voice cloning or speaker conditioning in the release	Proprietary SaaS, not open source or self-hostable Voice quality across the long tail of languages can be uneven Built-in video editor is lightweight vs. a real NLE Enterprise/API pricing not transparent on the page
Website	kyutai.org	lovo.ai

Pick Kyutai Moshi if

✅ Truly full-duplex — handles interruptions, overlap and back-channels rather than rigid turn-taking
✅ Sub-200ms practical latency on a single L4 GPU, well below third-party voice APIs
✅ Fully open weights (CC-BY 4.0) plus MIT/Apache code — self-host with no per-minute billing
✅ Ships with Mimi, a streaming neural audio codec that beats SpeechTokenizer and SemantiCodec

Pick LOVO AI if

✅ 500+ voices across 100+ languages with expressive 'Pro V2' delivery
✅ Voice cloning from roughly one minute of reference audio
✅ All-in-one stack: TTS, video editor, subtitles, script writer, art
✅ Public API for embedding TTS into your own apps

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