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AudioFreemiumReviewed June 2026

Cartesia

Cartesia is built for one thing above all: speed. Its Sonic 3 model ships the first byte of audio in roughly 90 milliseconds, around four times faster than the field, which is the difference between a voice agent that feels live and one that feels like a hold queue. The lineup is three products: Sonic for text-to-speech, Ink for speech-to-text, and Line, a platform for building voice agents end to end, across 40-plus languages. There is a free tier and Pro at $4 a month on annual billing; premium models run about $35 per million characters. When latency is the deciding factor in a real-time voice build, Cartesia is the pick.

Cartesia homepage screenshot

At a glance

Best for
  • Lowest-latency voice
  • Real-time voice agents
  • Full TTS, STT, and agent stack
Not the right pick for
  • The widest voice-cloning library (see ElevenLabs)
  • One-off narration where latency is irrelevant
Pricing from

Free

Founded

2023

What it's good for

  • 1

    Real-time phone and voice agents where latency makes or breaks the experience

  • 2

    Live dubbing and narration that has to keep pace with audio or video

  • 3

    Building a full voice-agent stack (TTS, STT, orchestration) on one platform with Line

  • 4

    Multilingual voice features across 40-plus languages

  • 5

    Adding fast, natural speech to a product without standing up your own audio infra

Pricing

  • Free

    Trial limits to evaluate

    Free

  • Pro

    Annual billing, higher limits

    $4/mo

  • Premium models

    Top-quality voice generation

    $35/M chars

How to use it

Prototype against the free tier to hear the latency for yourself, the 90ms first byte is the thing to feel, not just read about. Use Sonic for speech out and Ink for speech in; reach for Line when you are building a full voice agent rather than wiring the pieces yourself. Meter premium-model usage by characters, since that is where cost accrues. If you need a huge voice-cloning catalog more than raw speed, compare against ElevenLabs.

Pros & cons

Pros

  • Lowest latency in the category, about 90ms first byte
  • Free tier and Pro at just $4 a month
  • Covers TTS, STT, and full voice agents (Sonic, Ink, Line)
  • 40-plus languages
  • Built for real-time voice agents specifically

Cons

  • Smaller voice-cloning library than ElevenLabs
  • Overkill for one-off narration where latency is irrelevant
  • Premium-model cost accrues by characters at scale

Frequently asked questions

  • Is Cartesia free?

    Yes, there is a free tier with trial limits to evaluate it, plus Pro at $4 a month on annual billing for higher limits. Premium models run about $35 per million characters, so heavy generation is metered by characters. Prototype on the free tier first to hear the latency for yourself.

  • Cartesia vs ElevenLabs: which should I use?

    ElevenLabs has the widest voice-cloning library and is the default for rich narration. Cartesia is built for speed: its Sonic 3 model returns the first byte of audio in about 90 milliseconds, roughly four times faster than the field. When latency is the deciding factor in a real-time voice build, Cartesia wins; when you need the largest voice catalog, compare ElevenLabs.

  • What is Cartesia best for?

    Real-time voice work where latency makes or breaks the experience: phone and voice agents, live dubbing, and narration that has to keep pace with audio or video. The Line product lets you build a full voice-agent stack (TTS, STT, orchestration) on one platform across 40-plus languages.

  • What are Sonic, Ink, and Line?

    They are Cartesia's three products. Sonic is text-to-speech (Sonic 3 is the ultra-low-latency model), Ink is speech-to-text, and Line is a platform for building voice agents end to end. Together they cover both directions of audio plus the orchestration to wire a full agent.

  • How fast is Cartesia's Sonic model?

    Sonic 3 ships the first byte of audio in roughly 90 milliseconds, around four times faster than the field. In a voice agent, that is the difference between something that feels live and something that feels like a hold queue, which is why latency-sensitive builds reach for it.

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