Kyutai Moshi vs Read AI

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

	Kyutai Moshi Audio	Read AI Audio
Tagline	Open-source, full-duplex speech-to-speech foundation model with sub-200ms latency	AI meeting copilot that transcribes, summarizes, and surfaces action items across Zoom, Meet, and Teams.
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· Free: Free · Pro: $19.75 · Enterprise: $29.75 · Enterprise+: $39.75
Model	Moshi (7B-class speech-text foundation model) + Mimi neural audio codec, in-house by Kyutai	Multi-model
Editorial score	—	8.1 / 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	meeting-transcriptionmeeting-summariesaction-itemscross-channel-searchsales-call-notes
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	Works across Zoom, Google Meet, and Microsoft Teams out of the box Cross-channel search spans meetings, email, and chat in one query SOC 2 Type 2, GDPR, and HIPAA compliance for regulated teams Solid integration list (Slack, HubSpot, Salesforce, Notion, Asana) Free tier and broad device coverage including mobile
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	Always-on meeting bot raises consent friction on external calls Free plan capped at 5 meetings/month Agentic Ada features locked behind higher tiers Summary quality varies on noisy or multi-language calls
Website	kyutai.org	read.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 Read AI if

✅ Works across Zoom, Google Meet, and Microsoft Teams out of the box
✅ Cross-channel search spans meetings, email, and chat in one query
✅ SOC 2 Type 2, GDPR, and HIPAA compliance for regulated teams
✅ Solid integration list (Slack, HubSpot, Salesforce, Notion, Asana)

Compare a different pair →