Moshi

At a glance

• Editor score
  3.8 / 10
• Pricing
  Open source
• Best for
  Developers experimenting with real-time spoken AI
• Paid from
  Free
• Web search
  No
• Facts checked
  3 Oct 2026

• Where it wins

  • Processes speech directly instead of using a speech-to-text-to-speech pipeline
  • Supports streaming audio through the Mimi neural audio codec
  • Offers PyTorch, Rust, and on-device MLX inference implementations

• Where it doesn't

  • Focused on voice conversation, not general-purpose text assistance
  • Does not provide web search, file uploads, or image input
  • Documented language support is English

Our verdict on Moshi

Moshi is an experimental speech-text model and full-duplex dialogue framework from Kyutai. It is aimed at developers and researchers exploring real-time spoken AI, rather than people seeking a general-purpose assistant for writing, research, or file analysis. Its speech-native approach processes speech directly instead of converting it to text and back, supporting low-latency voice interaction. Kyutai describes it as a prototype, and provides an online browser demo for exploration.

The main distinction is its voice architecture: Moshi supports real-time, full-duplex spoken dialogue, with streaming neural audio codec integration through Mimi. That makes it relevant for experimentation with conversational audio, especially where responses need to stream while a conversation is in progress. The documented language support is English. Buyers looking for web search, file uploads, image input, or deep research should choose a different assistant; Moshi is not positioned as a broad text-and-file productivity tool.

Its open-source release includes PyTorch, Rust, and MLX inference implementations. The MLX implementation supports on-device inference on iPhone and Mac, while the product is also available through a browser demo and can be self-hosted. This gives technical users several routes to explore the model, from a hosted demonstration to local implementation work. Choose Moshi if your priority is experimenting with spoken interaction and inference options; look elsewhere if you need a finished general assistant with research or document-analysis capabilities.

Your product? Our editors can test Moshi in depth and publish a review, labelled as paid · from $149/mo →

Moshi pricing

Moshi fact sheet

Alternatives to Moshi

• ChatGPTA broad AI assistant for everyday tasks, with web search, file analysis, image tools, and team workspaces.9.4
• GeminiA broad multimodal assistant with free access and close ties to Google services.9.3
• Microsoft CopilotA flexible everyday assistant, with its strongest fit for Microsoft 365 users.9.2

See all Moshi alternatives →

Featured on iTechGuides

Moshi is listed in our General-Purpose AI Assistants directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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Last updated 29 Oct 2026 · How we research and update