Web servicesElevenLabs

Decision matrix

ElevenLabs Conversational AI app decision matrix
Overview

ElevenAgents (ElevenLabs Conversational AI) builds real-time voice or chat agents that can talk to customers, book appointments or answer questions across phone and chat, billed by call minutes (free 15 minutes/month, then from $0.08/minute) separately from ElevenLabs's text-to-speech credits. Pick it when you need an actual voice agent, not just generated audio clips.

Other good fits
  • Someone testing whether a voice agent is viable for a specific use case before committing budget, using the free tier's 15 minutes.
Pros
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ElevenAgents builds voice and chat agents that listen, understand and respond in real time, across phone calls and chat, in 70+ languages, without a rigid decision-tree script. It connects to CRMs, payment systems, calendars and telephony providers (Twilio, Zendesk, HubSpot, Stripe and others named by the vendor), and gives access to a large voice library plus cloning for a consistent brand voice.

Pick it when…

  • You want an actual voice agent handling calls or chats, customer support, appointment scheduling, sales qualification, not just pre-recorded audio.
  • You need multi-language support with real-time language detection.
  • You want to integrate with existing business systems (calendars, CRMs, payment processors) rather than building that integration layer yourself.
Cons
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A real-time voice agent can still misunderstand an ambiguous request or hand off badly to a fallback; test with the messy, real-world phrasing customers actually use, not just clean scripted questions. Costs stack: the plan's per-minute rate, LLM usage and telephony charges are three separate line items, so total cost is higher than the plan price alone suggests.

Pick something else when…

  • You just need generated audio clips, not a live agent. ElevenLabs text-to-speech is simpler and billed from a shared credit pool instead of by the minute.
  • You want the agent logic defined in code you control. Build a custom voice pipeline with Deepgram for recognition and Cartesia or ElevenLabs for the voice, wired together yourself.
  • The interaction should be text-only, not voice. A plain chat agent built with n8n or Dify skips the telephony layer entirely.

Avoid if

  • Your call volume is unpredictable and high; overage and burst pricing ($0.08–$0.16/minute) can add up fast beyond the included allowance.
Workflow

Describe the agent's job or start from a template → connect the systems it needs (a calendar for scheduling, a CRM for lookups, telephony for phone calls) → test with made-up calls before connecting a real phone number → monitor call minutes and concurrency against your plan's included allowance → watch for burst pricing if you expect calls to exceed your plan's concurrent-call limit.

Cost
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Prices checked 23 September 2026 (agents pricing (opens in a new tab)):

PlanPrice/monthIncluded minutesConcurrent calls
Free$0154
Starter$6756
Creator$22 ($11 first month)27510
Pro$991,23820
Scale$2993,73830
Business$99012,37540

Additional minutes beyond the included allowance cost $0.08/minute on every plan, doubling to $0.16/minute if you exceed your plan's concurrent-call limit (burst pricing). Text messages cost $0.003 each. The underlying LLM and any telephony provider are billed separately on top, based on their own usage; this isn't an all-in price. There's no limit on the number of agents you can build on any plan, only on concurrent calls and monthly minutes.

Restrictions

Billing for the LLM and telephony provider is separate from the ElevenAgents minute-based fee; budget for all three, not just the plan price. Overage and burst pricing apply per plan, so an unexpectedly busy period can cost meaningfully more than the base subscription.

First project

Documentation-based suggestion — not run here.

Build a simple agent that answers three or four common, made-up questions about a fictional workshop (schedule, location, cost) and test it with several different phrasings of the same question, including an off-topic question it should decline to answer.

Done when the agent answers the in-scope questions correctly and clearly declines or redirects the off-topic one, rather than inventing an answer.

Links & evidence
Documentation-based · not hands-on · Sep 23, 2026

Rests on ElevenLabs's agents pricing page, its Conversational AI overview documentation and its Conversational AI product page, all read on 2026-09-23. No agent was built or called for this review.

  • ElevenAgents pricing · Sep 23, 2026 — Per-minute pricing table, included minutes and concurrency per plan, burst pricing, separate LLM/telephony billing.
  • Conversational AI overview · Sep 23, 2026 — Architecture and feature overview for ElevenAgents.
  • ElevenLabs Conversational AI product page · Sep 23, 2026 — Multi-language support, integrations (Twilio, Zendesk, HubSpot, Stripe), voice library.
Further review notes & alternatives
Catalogue facts

Build voice conversations from speech recognition, an LLM, and spoken replies. Swap the language model while inspecting each pipeline transcript. Choose it when voice quality matters more than minimizing pipeline hops.

ElevenLabs · free-tier · cloud

  • speech to text
  • large language model
  • text to speech
  • voice cloning
  • conversation pipeline
  • low latency
  • natural voice
  • talk-think
  • automate
  • build-app
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ElevenLabs Conversational AI

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Still frame from the official ElevenLabs agent-creation dashboard demonstration.

ElevenLabs Conversational AI official product documentation

Owner-requested editorial use of public official interface screenshots, 15 September 2026. Copyright retained by the original publisher; attribution preserved. No open licence or hands-on course execution is asserted. Source asset: https://fdr-prod-docs-files-public.s3.us-east-1.amazonaws.com/elevenlabs.docs.buildwithfern.com/61b0e1df291ea587a8ff3e116579a47f66d48c74b24f44cfcd4804a568eb0a9d/assets/images/conversational-ai/assistant-create-flow.gif. PNG conversion preserves the complete frame. Converted on 15 October 2026 to a 1600px-wide WebP (quality 80) for faster page loads; the original image remains in the media library.

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