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AssemblyAI and Cartesia split voice agents by layer

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AssemblyAI and Cartesia split voice agents by layer

AssemblyAI and Cartesia now compete across speech synthesis, transcription and orchestration, with different language coverage, pricing and benchmarks.

AssemblyAI and Cartesia are competing on more than voice quality, with each company now offering a broader stack for voice agents rather than a single text-to-speech model. The comparison turns on three separate layers: speech synthesis, speech recognition and agent orchestration, along with pricing, language coverage and published benchmark results.

According to the companies' pricing pages and docs as of October 28, 2026, AssemblyAI lists AssemblyAI-TTS-1 for text-to-speech, Universal-3.6 Pro Realtime for streaming speech-to-text and LLM Gateway for model access, while Cartesia lists Sonic 3.6 for text-to-speech, Ink 2 for speech-to-text and Managed Agents as a hosted agent product billed per minute. The source comparison says the products are intended to be used in different ways: AssemblyAI's components are designed to run inside LiveKit, Pipecat or a user's own orchestrator, while Cartesia includes hosted agent tooling.

On text-to-speech, AssemblyAI says AssemblyAI-TTS-1 was trained on millions of hours of audio, including real conversational data, and offers thousands of voices across six languages: English, Spanish, French, German, Italian and Portuguese. The announcement also says the product supports instant voice cloning in the dashboard, three interfaces and unlimited concurrency. Cartesia's Sonic 3.6 is described in its documentation as generally available with 44 languages, and the comparison notes that Cartesia publishes dated snapshots such as sonic-3.6-2026-08-27 alongside a moving sonic-3.6 alias.

The source material also draws a line between voice tuning controls. Cartesia's docs and tooling include pronunciation dictionaries, while AssemblyAI's TTS connection parameters do not include speed, pitch, emotion, style or stability controls and do not support SSML.


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