
Cartesia
The Stanford SSM-research spinout behind Sonic (TTS) and Ink (STT) — Line, its open-source voice-agent SDK, connects to 100+ LLMs and starts at a genuine $0/month, but the agent layer itself isn't self-hostable.
- Category
- Voice agents
- From
- $0 / month
- Pricing model
- freemium
- Free tier
- Yes
- Deployment
- Cloud
- Interface
- API
- Open source
- Yes
- Public API
- Yes
- Model / LLM
- Model-agnostic via LiteLLM (100+…
Facts re-verified
On this page
Our verdict
Cartesia's core credibility is that its speech models are already load-bearing infrastructure for part of this very category: Vapi, Retell AI and LiveKit Agents are all named Cartesia customers on its own site, using Sonic and/or Ink as a component of their own stacks.
Line, the newer voice-agent layer built on top, is the most LLM-agnostic and the most genuinely open source of any entry here: an Apache 2.0 SDK that connects to 100+ providers via LiteLLM, backed by a real $0/month tier and flat $0.06/min agent pricing that doesn't escalate with plan.
The tradeoff is deployment: unlike Deepgram Voice Agent API, only the speech models can be self-hosted, not Line's voice-agent runtime itself, so a buyer that needs the entire stack on its own infrastructure should look elsewhere in this category. A well-capitalized, fast-moving vendor ($191M raised, Series B in October 2025) still building out its independent review record.
What is Cartesia?
Cartesia is an AI voice platform built around State Space Models (SSMs), a research lineage its founding team helped pioneer at the Stanford AI Lab before founding the company in September 2023. It ships three products. Sonic-3.6 is the current real-time text-to-speech model, with laughing and emotional control across 40+ languages. Ink-2 is the streaming speech-to-text model.
Line is the voice-agent development platform that sits on top of both. The company has raised $191 million across three rounds. A $27M seed (December 2024, led by Index Ventures), a $64M Series A (March 2025, led by Kleiner Perkins), and a $100M Series B in October 2025, led by Kleiner Perkins with Index Ventures and Lightspeed returning and NVIDIA joining as a new strategic investor.
The Series B was announced alongside Sonic-3, a 42-language TTS model Cartesia said was preferred over competitors by 62% of blind human testers, and a successor Sonic-3.6 now sits on the pricing page. Cartesia's customers page lists ServiceNow, Together AI, Replicant, Thoughtly, Lorikeet, Fundamento, Bolna, Maven AGI, Forethought, Simple AI, 2X Solutions, Cresta, Rasa and others.
Several rival voice-agent platforms in this index, including Vapi, Retell AI and LiveKit Agents, are themselves named as Cartesia customers and license Sonic and Ink as components of their own stacks.
What does Cartesia do?
Line, Cartesia's voice-agent layer, offers two build paths: a no-code Agent Builder for prototyping without writing code, and an open-source (Apache 2.0, 103 GitHub stars as of this listing's verification) Python SDK for full programmatic control.
The SDK connects to more than 100 LLM providers via LiteLLM — including OpenAI, Anthropic and Google models by name, plus open-weight models — rather than locking a buyer into Cartesia's own reasoning layer, and supports multi-agent handoffs (a main agent can transfer a call to a specialized agent mid-conversation via an agent_as_handoff() primitive), real-time interruption handling, tool calling against external APIs and databases, and built-in web search.
Deployment is Cartesia's own managed runtime — the docs describe it as deploying "in seconds" with auto-scaling — and every call is recorded with saved audio, transcripts and latency/system metrics for debugging.
A distinct, narrower self-hosting path exists for the underlying Sonic and Ink models only (deployable into a customer's own GCP, AWS or on-premise environment on an Enterprise contract) — that option does not extend to Line's voice-agent runtime itself, which stays on Cartesia's managed infrastructure regardless of tier.
Cartesia also publishes its own MCP server (cartesia-mcp) so tools like Cursor or Claude Desktop can call its TTS/STT/voice-management APIs directly.
How Cartesia works
- Start on Sonic (TTS) and Ink (STT) directly via API, or use Line for full voice-agent orchestration — via the no-code Agent Builder for prototyping, or the open-source Python SDK for production control.
- In the SDK, connect any of 100+ LLM providers through LiteLLM (OpenAI, Anthropic, Google or open-weight models), define tools the agent can call, and configure multi-agent handoffs for specialized routing.
- Deploy through Line's managed runtime — Cartesia hosts the compute, auto-scaling and audio pipeline; every call is recorded with transcripts and latency/system metrics available for review.
- Billing draws from two separate pools per tier: a monthly credit allotment for Sonic/Ink usage, and a prepaid balance for Line voice-agent minutes at a flat $0.06/min ($0.014/min telephony) that doesn't change by tier.
Key features
- Sonic-3.6 (TTS) and Ink-2 (STT)
- Cartesia's own low-latency speech models, built on State Space Models rather than Transformers. Sonic-3.6 supports 40+ languages with laughter and emotion controls. Ink-2 handles streaming transcription.
- Line SDK — open source, Apache 2.0
- A Python SDK (104 GitHub stars) for building voice agents, plus a separate no-code Agent Builder for prototyping without writing code.
- 100+ LLM providers via LiteLLM
- Bring OpenAI, Anthropic, Google Gemini or open-weight models to the agent layer. Line does not lock a buyer into one reasoning provider.
- Multi-agent handoffs and built-in tool belt
- A main agent can transfer control to a specialized agent mid-call. Built-in tools include end_call, transfer_call, send_dtmf, voicemail detection, web_search, knowledge_base, and HTTP-server tools that turn JSON schemas into agent-callable APIs.
- Enterprise self-hosting for the speech models only
- Sonic and Ink (not Line's voice-agent runtime) can be deployed into a customer's own GCP, AWS or on-premise environment on an Enterprise contract, for colocation, isolation or data-residency needs.
- Native MCP server
- Cartesia publishes its own Model Context Protocol server (cartesia-mcp) so tools like Cursor, Claude Desktop and OpenAI Agents can call its TTS, STT, voice-cloning and pronunciation-dictionary APIs directly.
What are Cartesia's use cases?
- Building a voice agent with real LLM choice
- A developer uses the open-source Line SDK to wire in Anthropic Claude as the reasoning model while keeping Cartesia's Sonic/Ink for speech, avoiding lock-in to a single-vendor reasoning layer.
- Prototyping without code
- A non-technical team member sketches an agent flow in the no-code Agent Builder before handing it to engineering to harden into the SDK for production.
- Enterprise deployment with data-residency requirements
- A regulated enterprise self-hosts Sonic and Ink inside its own VPC under an Enterprise contract to keep audio processing inside infrastructure it controls, while still using Line's managed runtime for orchestration.
Who is Cartesia for?
- Engineering teams that want an open-source voice-agent SDK (not a closed black box) with genuine LLM choice across 100+ providers, and are comfortable with Cartesia hosting the runtime rather than running it themselves.
- Teams prioritizing speech-model quality and latency first — Sonic and Ink are the core product several rival platforms in this category license as a component — who want the option to build the agent layer on top of the same models directly.
- Startups and solo builders who want a genuine $0/month starting point (20K TTS/STT credits plus a small prepaid agent balance) before committing spend, scaling into paid tiers that stay flat-rate on voice-agent minutes ($0.06/min) regardless of plan.
Not forRegulated enterprises that specifically need the voice-agent runtime itself (not just the speech models) fully self-hosted — Deepgram Voice Agent API offers that; Cartesia's Line layer does not.
What does Cartesia integrate with?
- LiteLLM (100+ LLM providers, including OpenAI, Anthropic and Google Gemini, plus open-weight models)
- Model Context Protocol — Cartesia publishes its own MCP server (cartesia-mcp) for Cursor, Claude Desktop and similar clients
- Telephony via Cartesia-provisioned phone numbers ($0.014/min)
Why use Cartesia?
- A genuine $0/month starting tier (20K credits, $1 prepaid agent balance) rather than only a time-limited trial, with flat $0.06/min voice-agent pricing that doesn't change across paid tiers.
- Line's SDK is open source (Apache 2.0) and connects to 100+ LLM providers via LiteLLM, so a buyer isn't locked into Cartesia's own reasoning layer the way several closed-source competitors in this category are.
- Speech-model quality several rival platforms in this very index (Vapi, Retell AI, LiveKit Agents) rely on directly, per Cartesia's own published customer list. ServiceNow, Together AI, Replicant and Forethought are also named customers on the same page.
- A well-capitalized company ($191M raised, Series B led by Kleiner Perkins with NVIDIA as a new strategic investor, October 2025) with SOC 2 Type II compliance on its public API.
What are Cartesia's pros and cons?
What's great
- A genuine $0/month free tier (20,000 model credits, a small prepaid agent balance) rather than only a time-limited trial, with flat $0.06/min agent pricing that doesn't change across paid tiers.
- Line's voice-agent SDK is open source (Apache 2.0, 103 GitHub stars as of this listing's verification) and connects to 100+ LLM providers via LiteLLM, rather than locking a buyer into one reasoning model.
- Well-capitalized and independently validated as production infrastructure: $191M raised across seed/A/B rounds (most recently a $100M Series B in October 2025 led by Kleiner Perkins with NVIDIA joining as a new strategic investor), and named as a speech-model supplier by several rival platforms in this index (Vapi, Retell AI, LiveKit Agents) on Cartesia's own customer page.
- Compliance built into the public API: SOC 2 Type II, PCI Level 1, GDPR, and HIPAA-eligible with a signed BAA available on enterprise contracts.
Watch-outs
- Self-hosting only extends to the underlying Sonic and Ink speech models on an Enterprise contract. Line's voice-agent runtime itself always runs on Cartesia's managed infrastructure, unlike Deepgram Voice Agent API's fully self-hostable option in this same category.
- Pricing is a two-meter system (a monthly credit pool for Sonic/Ink usage, plus a separate prepaid balance specifically for Line agent minutes), which is less immediately legible than a single per-minute rate like Bland AI's.
- Line's voice-agent runtime cannot be self-hosted — only the underlying Sonic/Ink models can, on an Enterprise contract.
- No independent review-platform (G2/Capterra/Trustpilot) rating found as of this listing's verification.
- Two separate billing meters (model credits and prepaid agent balance) rather than one blended per-minute rate.
Cartesia pricing
A hybrid, two-meter model: a monthly subscription buys a pool of model credits (spent on Sonic TTS and Ink STT) plus a separate prepaid balance for Line voice-agent minutes, billed at $0.06/min ($0.014/min for telephony via a Cartesia phone number) regardless of tier. Free: $0/month (20K credits, $1 prepaid agent balance). Pro: $5/month (100K credits, $5 prepaid, commercial license, instant voice cloning). Startup: $49/month (1.25M credits, $49 prepaid, pro voice cloning, org accounts). Scale: $299/month (8M credits, $299 prepaid, priority support, higher concurrency). Enterprise: custom-quoted. Every tier includes unlimited workspace seats and voice slots, with cancel-anytime billing.
Free
$0 / month
- 20,000 model credits/month (~27 min TTS or ~1h51m STT)
- $1 prepaid agent balance ($0.06/min = ~16 agent minutes)
- Unlimited workspace seats and voice slots
Pro
$5 / month
- 100,000 model credits/month
- $5 prepaid agent balance
- Commercial use license
- Instant voice cloning
Startup
$49 / month
- 1.25M model credits/month
- $49 prepaid agent balance
- Professional voice cloning
- Organization accounts
Scale
$299 / month
- 8M model credits/month
- $299 prepaid agent balance
- Priority support
- Higher concurrency limits
Enterprise
Custom (contact sales)
- Custom credit and agent-minute volume pricing
- Custom concurrency limits
- DPAs/BAAs and SSO
- Dedicated Slack support
- Enterprise self-hosting for Sonic/Ink into a customer-controlled cloud or on-premise environment
See current pricing on cartesia.ai ↗Compare Cartesia alternatives →
Frequently asked questions
What is Cartesia?
Is Cartesia's Line SDK actually open source?
How much does Cartesia cost?
Can Cartesia be self-hosted?
Which LLMs can Cartesia's Line agents use?
Cartesia alternatives
- Deepgram Voice Agent API
A closed-source but more deployment-flexible rival. Deepgram's Voice Agent API itself (not just its underlying speech models) can be fully self-hosted or VPC-deployed, an option Cartesia's Line agent layer doesn't offer, though Cartesia's Line SDK is the one that's actually open source.
- ElevenLabs Conversational AI
The other speech-model-first entrant building an agent layer on top of its own TTS. ElevenLabs leads on voice catalog size (10,000+ voices, 70+ languages) and independent scale ($11B valuation, $330M+ 2025 ARR), while Cartesia leads on latency claims and ships its agent SDK as genuinely open source.
- Retell AI
Named as a Cartesia customer on Cartesia's own customers page, with Retell running its voice agents on Cartesia at lower latency than the next-best provider. Retell builds its own turn-taking layer; Cartesia supplies the speech models underneath.
- Compare the whole category
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