ElevenLabs Conversational AI
The voice-quality specialist’s own agent layer, 10,000+ voices and instant cloning, with a bring-your-own-LLM brain.
Best forDevelopers and product teams who want best-in-class voice quality and cloning as the foundation of their agent, and are comfortable assembling the rest of the stack themselves.
Our verdict
ElevenLabs Conversational AI (rebranded ElevenAgents) approaches the voice-agent category from an unusual angle: instead of starting as an orchestration platform and treating voice as one interchangeable component, it starts from the industry’s most-cited text-to-speech and voice-cloning models and wraps an agent layer around them.
The voice-quality specialist’s own agent layer, best-in-class TTS and cloning, but you still assemble the LLM economics, telephony and ops tooling yourself.
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What's great
- Voice quality and instant cloning are ElevenLabs’ core specialty — the agent product inherits the same models that made it a reference point for AI voice, not a third-party TTS bolted onto an orchestration layer.
- A genuinely flexible LLM layer — an ElevenLabs-hosted model for the lowest latency, or bring your own OpenAI/Anthropic/Google key, or any OpenAI-compatible endpoint including open-source models.
- Backed by real scale and enterprise traction: an $11B valuation, over $330M in 2025 ARR, and production customers including Deutsche Telekom, Square and Revolut.
Watch-outs
- An independent comparison flags that Conversational AI covers the voice/LLM-orchestration layer only — you still assemble your own telephony, CRM/helpdesk workflow and observability tooling; the buyer is a developer, not an ops team wanting a configured-in-a-dashboard product.
- Pricing layers a subscription (a fixed minute pool and concurrency cap), a per-minute overage/burst rate, and separate LLM + telephony usage costs — the same "true cost is higher than the headline" pattern reviewers flag on Retell AI.
- The free tier is thin for anything beyond a demo: 15 minutes per month and only 4 concurrent calls before overage pricing kicks in.
Also note: Covers the voice + LLM-orchestration layer, not a turnkey ops product, CRM/helpdesk workflows, observability and compliance UI are yours to build. · True monthly cost is a subscription-plus-usage stack (minutes, overage, LLM, telephony), so budgeting needs the same care as any component-priced voice platform.
What is ElevenLabs Conversational AI?
ElevenLabs Conversational AI — rebranded ElevenAgents in 2026 — is the voice-agent product from ElevenLabs, the voice-technology company founded in 2022 by Piotr Dabkowski and Mati Staniszewski that raised $500M at an $11B valuation in February 2026. Where Vapi, Retell AI and Bland AI start as orchestration platforms and treat voice as one interchangeable component, ElevenLabs starts from the opposite direction: its own widely-used text-to-speech and voice-cloning models are the product, wrapped in an agent layer that adds real-time transcription, an LLM and tool-calling so a developer can ship a phone or chat voice agent without sourcing a separate TTS vendor. Production customers already include Deutsche Telekom, Square and Revolut.
What does ElevenLabs Conversational AI do?
You build an agent in ElevenLabs’ dashboard or API: write a prompt or flow, pick a voice from its library of 10,000+ voices (including an instantly-cloned voice of your own), and choose what reasons for the agent, an ElevenLabs-hosted model for the lowest latency, a third-party key from OpenAI, Anthropic or Google, or any OpenAI-compatible custom endpoint, which also opens the door to open-source models like Llama 3.3 or DeepSeek R1 via hosts such as Cloudflare Workers AI, Groq or Together AI. On a live call or chat, ElevenLabs orchestrates transcription, the LLM turn and its own text-to-speech in real time, aiming for sub-second responses, and the agent can call tools mid-conversation, pull from a knowledge base, and run across voice, web chat or SMS over its own telephony or a Twilio connection. It speaks natively in 70+ languages with automatic language detection, and ships prebuilt connectors for Twilio, Zapier, Stripe, Zendesk, HubSpot and Cal.com. Usage is metered: your subscription tier buys a pool of call minutes and a concurrency cap, extra minutes bill per-minute with a burst rate once you exceed that concurrency limit, and the LLM plus any external telephony are billed separately on top.
Key features
- 10,000+ voices + instant cloning: The core ElevenLabs voice library, including instant voice cloning, powers every agent, no separate TTS vendor needed.
- Bring-your-own or hosted LLM: Reason with an ElevenLabs-hosted model for the lowest latency, a third-party key (OpenAI, Anthropic, Google), or any OpenAI-compatible endpoint, including open-source models.
- Sub-second, 70+ language orchestration: A real-time STT + LLM + TTS pipeline aims for sub-second turnaround with automatic language detection across 70+ languages.
- Omnichannel deployment: One agent definition deploys to phone calls, web chat and SMS, with tool-calling and knowledge-base retrieval mid-conversation.
What are ElevenLabs Conversational AI's use cases?
- Multilingual customer support: A global support team deploys one agent across phone and chat that automatically speaks a caller’s language without maintaining separate voice vendors per market.
- Branded voice at scale: A company clones its own brand voice (or licenses a character voice) and uses it consistently across every agent interaction and channel.
What does ElevenLabs Conversational AI integrate with?
- Telephony — native + Twilio
- CRM/support — Zendesk, HubSpot
- Automation/commerce — Zapier, Stripe, Cal.com
- LLM — ElevenLabs-hosted, OpenAI, Anthropic, Google, or any OpenAI-compatible endpoint (incl. open-source models via Cloudflare Workers AI, Groq, Together AI)
- Model Context Protocol (MCP) — both a client (agents connect to external MCP servers) and an official ElevenLabs MCP server for other AI apps to call
Why use ElevenLabs Conversational AI?
- Best-in-class TTS and instant voice cloning as the core of the product, not a bolted-on component — a real edge over platforms that treat voice as interchangeable.
- 70+ languages with automatic detection, useful for genuinely global deployments.
- A flexible LLM layer: an ElevenLabs-hosted model for the lowest latency, or bring your own key or open-source model.
- Backed by a fast-scaling, well-capitalized company ($11B valuation, $330M+ 2025 ARR) with enterprise customers already in production (Deutsche Telekom, Square, Revolut).
Pros & cons
Pros
- Voice quality and instant cloning are ElevenLabs’ core specialty — the agent product inherits the same models that made it a reference point for AI voice, not a third-party TTS bolted onto an orchestration layer.
- A genuinely flexible LLM layer — an ElevenLabs-hosted model for the lowest latency, or bring your own OpenAI/Anthropic/Google key, or any OpenAI-compatible endpoint including open-source models.
- Backed by real scale and enterprise traction: an $11B valuation, over $330M in 2025 ARR, and production customers including Deutsche Telekom, Square and Revolut.
Cons
- An independent comparison flags that Conversational AI covers the voice/LLM-orchestration layer only — you still assemble your own telephony, CRM/helpdesk workflow and observability tooling; the buyer is a developer, not an ops team wanting a configured-in-a-dashboard product.
- Pricing layers a subscription (a fixed minute pool and concurrency cap), a per-minute overage/burst rate, and separate LLM + telephony usage costs — the same "true cost is higher than the headline" pattern reviewers flag on Retell AI.
- The free tier is thin for anything beyond a demo: 15 minutes per month and only 4 concurrent calls before overage pricing kicks in.
Limitations
- Covers the voice + LLM-orchestration layer, not a turnkey ops product, CRM/helpdesk workflows, observability and compliance UI are yours to build.
- True monthly cost is a subscription-plus-usage stack (minutes, overage, LLM, telephony), so budgeting needs the same care as any component-priced voice platform.
ElevenLabs Conversational AI pricing
- Free$0 / /mo
- Starter$6 / /mo
- Creator$22 ($11 first month) / /mo
- Pro$99 / /mo
- Scale$299 / /mo
- Business$990 / /mo
- EnterpriseCustom
See current pricing on elevenlabs.io ↗Compare ElevenLabs Conversational AI alternatives →
ElevenLabs Conversational AI specs
Pricing
- Pricing model
- usage-based
- Free tier
- ✓ Yes
Capabilities
- Model / LLM
- ElevenLabs-hosted, or bring your own (OpenAI, Anthropic, Google, any OpenAI-compatible endpoint)
- Interface
- Web
- Public API
- ✓ Yes
- Open source
- ✗ No
Deployment
- Deployment
- Cloud
ElevenLabs Conversational AI review
ElevenLabs Conversational AI (rebranded ElevenAgents) approaches the voice-agent category from an unusual angle: instead of starting as an orchestration platform and treating voice as one interchangeable component, it starts from the industry’s most-cited text-to-speech and voice-cloning models and wraps an agent layer around them. That shows up as a real edge — 10,000+ voices, instant cloning, and native speech in 70+ languages — backed by a company now valued at $11B with production customers like Deutsche Telekom, Square and Revolut. The LLM layer is genuinely flexible: an ElevenLabs-hosted model for the lowest latency, or bring your own key, including open-source models via an OpenAI-compatible endpoint. The tradeoffs mirror the rest of this category: pricing stacks a subscription, per-minute overage/burst, and separate LLM/telephony usage; and the product covers the voice/orchestration layer, not a turnkey CRM-connected ops tool. Pick it if voice quality and cloning are the deciding factor; skip it if you want a no-code, fully-managed CX product or a stack-agnostic build like Vapi.
The voice-quality specialist’s own agent layer, best-in-class TTS and cloning, but you still assemble the LLM economics, telephony and ops tooling yourself.
Frequently asked questions
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