Moshi AI vs AIVA

Moshi AI is a speech-native conversational model from Kyutai, a Paris-based open-science research lab. Instead of chaining speech recognition, text generation, and text-to-speech, Moshi processes audio directly and holds full-duplex voice conversations with minimal latency.

Its multi-stream design runs separate channels for the user, Moshi's spoken output, and an Inner Monologue text stream that improves coherence. That setup lets Moshi listen and talk at the same time, handle overlaps, interruptions, and backchanneling like a real conversation rather than rigid speaker turns.

Moshi is built on Helium, a 7B language model, and Mimi, Kyutai's neural audio codec. Weights and inference code ship for PyTorch, Rust, and MLX, and you can try it in the browser at moshi-chat.kyutai.org. Researchers, voice AI developers, and anyone building real-time spoken interfaces will find the most value here.

AIVA composes original music in more than 250 styles within seconds from your browser. You pick a genre or train a custom style model, then refine the result with MIDI or audio influences before exporting finished tracks. It works for first-time hobbyists and professional composers who need fast drafts.

Most AI music generators hand you a finished loop with fixed licensing terms. AIVA separates composition speed from copyright control: the free tier covers non-commercial projects with attribution, while the Pro plan transfers full ownership so you can monetize anywhere. Uploading your own MIDI or audio references and downloading WAV stems is built into the paid workflow, not bolted on as an upsell.

Filmmakers, game developers, and social creators use AIVA for background scores, trailers, and short-form video soundtracks. The Standard plan limits monetization to YouTube, Twitch, TikTok, and Instagram, which fits influencers who only publish on those platforms. Students and schools can request discounted access through the contact form.