ElevenLabs vs Vapi vs Retell AI Comparison (2026)

Major takeaways

How are ElevenLabs, Vapi and Retell AI different? ElevenLabs emphasizes voice synthesis and conversational agents, Vapi targets developers building custom voice workflows, and Retell AI focuses on low-latency phone agents for inbound and outbound calls.

Which one fits a small team versus an enterprise team? Small teams with limited engineering resources typically start with ElevenLabs or Retell AI for pre-built agents, while engineering-heavy teams and enterprises building custom workflows often shortlist Vapi.

Which is cheapest to start with? ElevenLabs reportedly offers a free tier for limited usage, Vapi pricing is usage-based starting at approximately $0.05–$0.10 per minute, and Retell AI pricing is not publicly listed but estimated to start around $0.08–$0.12 per minute based on third-party sources.

At-a-glance: if you care about X, shortlist Y

How we evaluated these three platforms

We reviewed each vendor's published documentation, pricing pages, and integration guides. Review coverage came from G2, Trustpilot, and TrustRadius. Third-party pricing estimates were drawn from Vendr where vendor sites did not publish list prices.

Evaluation criteria included inbound and outbound support, latency claims, telephony options, LLM and voice-model choice, no-code versus API-first design, call transfer and human handoff, CRM and calendar integrations, call recording and consent tooling, compliance statements, concurrency limits, and pricing models.

Pricing and feature sets change frequently. This comparison was last updated in November 2026.

What each tool does (60-second summary)

ElevenLabs

ElevenLabs is a voice AI platform that started with text-to-speech synthesis and expanded into conversational agents. The platform reportedly supports voice cloning, multilingual synthesis, and pre-built conversational workflows for customer support and sales use cases.

ElevenLabs was founded in 2022 and raised $80 million in Series B funding led by Andreessen Horowitz and others, per TechCrunch. The vendor targets teams that want high-quality voice synthesis without building custom infrastructure. Published customer logos include companies in media, gaming, and customer service, though specific counts are not disclosed.

Vapi

Vapi is a developer-first voice AI platform designed for engineering teams building custom voice workflows. The platform provides API access to voice models, telephony infrastructure, and real-time conversation handling. Vapi was reportedly founded in 2023 and positions itself as a programmable layer for voice AI, allowing teams to control LLM selection, voice models, and conversation logic.

The vendor does not publish customer counts or funding details on its site. Vapi targets teams with in-house engineering resources that need flexibility over pre-built agents.

Retell AI

Retell AI is an AI voice agent platform optimized for low-latency phone interactions. The vendor claims sub-second response times for inbound and outbound calls, making it suitable for real-time qualification, appointment setting, and customer support. Retell AI was reportedly founded in 2023 and raised seed funding, though the amount is not publicly disclosed.

The platform supports bring-your-own telephony or vendor-provided numbers, CRM integrations, and call recording. Retell AI targets teams running high-volume phone operations where speed-to-lead and conversation quality matter.

Master comparison matrix

The three tools differ most on no-code versus API-first design, latency claims, and telephony flexibility. ElevenLabs offers a pre-built conversational agent builder, while Vapi and Retell AI require engineering resources to configure workflows. Retell AI emphasizes sub-second latency for real-time phone interactions, while Vapi provides broader LLM and voice-model choice for custom use cases.

Pricing comparison

Sources: ElevenLabs pricing page, Vapi documentation, third-party estimates from Vendr for Retell AI.

ElevenLabs pricing

ElevenLabs charges per character for text-to-speech synthesis and per-usage for conversational agents. The free tier includes 10,000 characters per month, suitable for testing but not production use. The Starter plan at $5 per month provides 30,000 characters, while the Creator plan at $22 per month offers 100,000 characters and access to voice cloning.

Enterprise pricing is custom and includes API access, priority support, and higher usage limits. Costs scale with character volume and the number of conversational agents deployed.

Vapi pricing

Vapi uses a per-minute usage model, reportedly starting at $0.05–$0.10 per minute based on third-party sources. The vendor does not publish tiered plans; teams pay for what they use. Telephony costs are separate if using Vapi-provided numbers, while bring-your-own-carrier setups avoid that charge.

Premium voice models from providers like ElevenLabs or Deepgram add incremental per-minute fees. Enterprise customers negotiate volume discounts and dedicated support. Costs scale with call volume, voice-model selection, and LLM usage.

Retell AI pricing

Retell AI does not publish pricing on its site. Third-party sources estimate per-minute costs starting around $0.08–$0.12, though these figures are unverified. The vendor requires a demo and custom quote for all plans.

Pricing reportedly varies based on call volume, concurrency requirements, and whether teams bring their own telephony or use Retell-provided numbers. Enterprise contracts may include dedicated infrastructure and priority support. Without public pricing, procurement teams should budget time for negotiation.

Total cost of ownership

All three platforms require a CRM (Salesforce, HubSpot, or similar) to route qualified leads and log call outcomes. ElevenLabs teams using conversational agents may need Zapier or custom webhooks to connect to downstream systems, adding $20–$100 per month depending on workflow complexity. Vapi and Retell AI integrate natively with major CRMs via API, reducing middleware costs but requiring engineering time to configure and maintain.

Teams bringing their own telephony (Twilio, Bandwidth) pay carrier fees on top of platform costs, typically $0.01–$0.03 per minute for domestic calls. RevOps time for setup, testing, and ongoing optimization varies: ElevenLabs requires less engineering input, while Vapi and Retell AI demand dedicated developer resources.

What users say

Public review volume for ElevenLabs is limited; the recurring themes below are drawn from the available G2 / Trustpilot / TrustRadius coverage.

What ElevenLabs users say

Users praise ElevenLabs for voice quality and ease of use in text-to-speech applications. Reviewers note that the platform's conversational agent feature is newer and less mature than its core TTS offering. Some users report that agent customization options are limited compared to API-first platforms.

Integration with third-party systems reportedly requires Zapier or custom development, which adds friction for non-technical teams. Pricing transparency is appreciated, though character-based billing can make cost forecasting difficult for high-volume use cases.

What Vapi users say

Vapi users highlight the platform's flexibility and developer-friendly API. Engineering teams report that the ability to choose LLMs, voice models, and telephony providers allows for tailored workflows. Reviewers mention that setup requires coding expertise, making it unsuitable for teams without in-house developers.

Some users note that documentation is still evolving, with gaps in advanced use cases. Pricing predictability is cited as a strength, though per-minute costs can add up quickly in high-call-volume environments.

What Retell AI users say

Retell AI users emphasize low latency and call quality for real-time phone interactions. Reviewers report that the platform handles inbound and outbound calls smoothly, with minimal lag during conversations. Some users flag the lack of public pricing as a procurement barrier, requiring demos and custom quotes before budgeting.

Integration with CRMs is described as straightforward, though setup still requires technical resources. A few reviewers mention that agent customization is less flexible than Vapi, trading control for faster deployment.

Strengths and gaps

ElevenLabs: strengths and gaps

Strengths:

• Voice synthesis quality. ElevenLabs is known for high-quality text-to-speech and voice cloning, making it suitable for use cases where voice naturalness matters.
• Free tier for testing. The platform offers a free plan with 10,000 characters per month, allowing teams to test before committing to paid plans.
• No-code conversational agents. Pre-built agent workflows reduce the need for engineering resources, making it accessible to non-technical teams.

Gaps:

• Limited outbound voice support. ElevenLabs focuses on text-to-speech and conversational agents, with less emphasis on outbound calling workflows compared to Vapi and Retell AI.
• Integration friction. Users report that connecting ElevenLabs to CRMs and other systems often requires Zapier or custom development, adding setup time.
• Character-based billing complexity. Pricing per character can make cost forecasting difficult for teams running high-volume conversational agents.

Vapi: strengths and gaps

Strengths:

• Developer flexibility. Vapi's API-first design allows engineering teams to customize LLM selection, voice models, and conversation logic, making it suitable for complex workflows.
• Transparent usage-based pricing. Per-minute costs are documented on the vendor's site, making it easier to forecast expenses compared to platforms with opaque pricing.
• Broad telephony support. Teams can bring their own carrier or use Vapi-provided numbers, offering flexibility in infrastructure choices.

Gaps:

• Requires engineering resources. Vapi is built for developers, making it unsuitable for teams without in-house coding expertise or budget for external development.
• Documentation gaps. Reviewers mention that advanced use cases are not always well-documented, requiring trial and error or support escalation.
• No free tier. Vapi does not offer a free plan, requiring teams to commit to usage-based billing or request a trial before testing at scale.

Retell AI: strengths and gaps

Strengths:

• Low-latency performance. Retell AI claims sub-second response times, making it suitable for real-time phone interactions where conversation flow matters.
• Inbound and outbound support. The platform handles both inbound qualification and outbound calling, covering a broader range of phone use cases than ElevenLabs.
• CRM integration. Retell AI integrates natively with Salesforce, HubSpot, and other CRMs, reducing middleware costs and setup complexity.

Gaps:

• No public pricing. Retell AI does not publish pricing on its site, requiring demos and custom quotes, which slows procurement cycles.
• Less customization than Vapi. Reviewers note that agent workflows are less flexible than Vapi's API-first approach, trading control for faster deployment.
• Limited compliance disclosure. The vendor does not publish SOC 2 or other compliance certifications on its site, which may be a barrier for regulated industries.

Fit by team profile

Head-to-head pairs

ElevenLabs vs Vapi

ElevenLabs fits teams that want pre-built conversational agents with minimal engineering input, while Vapi is built for developers who need control over LLM selection, voice models, and conversation logic. ElevenLabs offers a free tier and no-code builder, making it faster to deploy for non-technical teams. Vapi requires coding expertise but provides more flexibility for custom workflows.

Teams with in-house developers building tailored voice experiences typically shortlist Vapi; teams without engineering resources or budget for external development start with ElevenLabs. For a detailed comparison, see ElevenLabs vs Vapi: Honest Comparison (2026).

ElevenLabs vs Retell AI

ElevenLabs emphasizes voice synthesis and conversational agents, while Retell AI focuses on low-latency phone agents for inbound and outbound calls. ElevenLabs is the better starting point for teams that need high-quality text-to-speech or voice cloning alongside conversational workflows. Retell AI fits teams running real-time phone operations where sub-second response times matter.

ElevenLabs publishes pricing and offers a free tier, while Retell AI requires a demo and custom quote. Teams prioritizing cost transparency and ease of testing typically start with ElevenLabs; teams optimizing for call latency and CRM integration shortlist Retell AI. For a detailed comparison, see ElevenLabs vs Retell AI: Honest Comparison (2026).

Vapi vs Retell AI

Vapi and Retell AI both target teams building voice agents for phone interactions, but Vapi prioritizes developer flexibility while Retell AI emphasizes low-latency performance. Vapi allows teams to choose LLMs, voice models, and telephony providers, making it suitable for custom workflows. Retell AI offers faster deployment with pre-optimized agents and sub-second response times.

Vapi publishes usage-based pricing, while Retell AI requires a custom quote. Engineering-heavy teams that need control over every layer of the voice stack typically shortlist Vapi; teams that want faster time-to-production and optimized latency start with Retell AI. For a detailed comparison, see Retell AI vs Vapi: Honest Comparison (2026).

Which to shortlist

Shortlist ElevenLabs if you...

• Run a small team (1–10 people) without in-house engineering resources and need a no-code conversational agent builder.
• Prioritize voice synthesis quality for text-to-speech or voice cloning use cases alongside conversational workflows.
• Want a free tier to test the platform before committing to paid plans, reducing upfront risk.

Shortlist Vapi if you...

• Have in-house developers who need full control over LLM selection, voice models, and conversation logic for custom workflows.
• Want transparent, usage-based pricing documented on the vendor's site to forecast costs accurately.
• Already use Twilio, Bandwidth, or another carrier and need a platform that supports bring-your-own telephony.

Shortlist Retell AI if you...

• Run high-volume inbound or outbound phone operations where sub-second response times and conversation flow are critical.
• Need native CRM integrations (Salesforce, HubSpot) to route qualified leads and log call outcomes without middleware.
• Can commit to a demo and custom quote process, accepting the lack of public pricing in exchange for optimized latency.

Note: if you want a voice agent that sits inside the same platform as an outbound AI SDR, rather than a standalone voice layer, teams in that position typically also evaluate 11x's Julian.

Verdict

ElevenLabs is the stronger fit for teams that prioritize voice synthesis quality and need a no-code conversational agent builder with a free tier for testing. Vapi is the better starting point for engineering-heavy teams that require full control over LLM selection, voice models, and telephony infrastructure, with transparent usage-based pricing. Retell AI fits teams running high-volume phone operations where low-latency performance and native CRM integrations matter more than pricing transparency or developer flexibility.

For small teams without engineering resources, start with ElevenLabs to test conversational agents at no cost. For mid-market teams with in-house developers building custom workflows, shortlist Vapi for API-first flexibility and bring-your-own-carrier support. For enterprises running real-time inbound qualification or outbound calling at scale, evaluate Retell AI for sub-second latency and CRM integration, accepting the custom-quote procurement process.

Check current pricing on each vendor's site, as usage-based models and enterprise discounts change frequently. Request demos for Vapi and Retell AI to test latency, call quality, and integration complexity in your specific environment. Prioritize the two or three matrix rows that matter most for your motion (latency, developer control, or no-code ease) and run a pilot with the tool that fits those dimensions best.

Frequently asked questions

Which is cheapest: ElevenLabs, Vapi or Retell AI?

ElevenLabs offers a free tier with 10,000 characters per month, making it the lowest-cost option for testing. Vapi's usage-based pricing reportedly starts at $0.05–$0.10 per minute, while Retell AI pricing is not publicly listed but estimated around $0.08–$0.12 per minute based on third-party sources. For production use, total cost depends on call volume, voice-model selection, and whether teams bring their own telephony.

Which is easiest to set up?

ElevenLabs is the easiest to set up for non-technical teams, offering a no-code conversational agent builder and a free tier for testing. Vapi and Retell AI both require engineering resources to configure workflows, CRM integrations, and telephony. Retell AI provides pre-optimized agents that reduce customization time, while Vapi requires more hands-on development for custom use cases.

Can you use two of them together?

Yes, though it adds complexity. Teams sometimes use ElevenLabs for text-to-speech synthesis and Vapi or Retell AI for phone agents, routing different use cases to different platforms. This approach requires middleware (Zapier, custom webhooks) to connect systems and increases total cost. Most teams pick one platform to avoid integration overhead.

Which integrates best with Salesforce and HubSpot?

Vapi and Retell AI both offer native CRM integrations via API, making them stronger fits for teams that need to log call outcomes and route qualified leads automatically. ElevenLabs reportedly requires Zapier or custom development to connect to Salesforce and HubSpot, adding setup time and cost. For teams running CRM-first workflows, Vapi and Retell AI reduce integration friction.

What do users complain about most for each?

ElevenLabs users mention limited outbound voice support and integration friction with third-party systems. Vapi users cite documentation gaps for advanced use cases and the requirement for in-house coding expertise. Retell AI users flag the lack of public pricing and less customization flexibility compared to Vapi's API-first approach.

Is there a free trial for each?

ElevenLabs offers a free tier with 10,000 characters per month, allowing teams to test text-to-speech and conversational agents at no cost. Vapi does not publish a free plan but may offer trials on request. Retell AI requires a demo and does not advertise a free trial on its site. Teams should contact each vendor directly to confirm current trial availability.

Which is best for a small team?

ElevenLabs is the better starting point for small teams (1–10 people) without engineering resources, offering a no-code builder and free tier. Vapi fits small teams with in-house developers who need custom workflows and transparent pricing. Retell AI is less suited to small teams due to the lack of public pricing and the requirement for a demo and custom quote.

Which has the best voice quality?

ElevenLabs is known for high-quality text-to-speech and voice cloning, making it suitable for use cases where voice naturalness matters. Vapi and Retell AI both support multiple voice-model providers (including ElevenLabs), so voice quality depends on which provider teams select. For teams prioritizing voice synthesis as a core feature, ElevenLabs is the stronger starting point.

Which supports the most languages?

ElevenLabs reportedly supports multilingual synthesis across dozens of languages, though the vendor does not publish a complete list. Vapi and Retell AI support multiple languages depending on the LLM and voice-model provider selected. Teams running multilingual workflows should confirm language coverage with each vendor before committing.

How does 11x compare to ElevenLabs, Vapi and Retell AI?

11x (11x.ai) pairs Alice (outbound AI SDR) with Julian (AI phone agent) in a single platform, covering both outbound prospecting and inbound voice. ElevenLabs, Vapi, and Retell AI are standalone voice AI platforms that do not include outbound email or LinkedIn workflows. Teams comparing only these three tools typically do not need the breadth of a unified outbound-plus-inbound system. For teams that want voice agents alongside outbound prospecting in one platform, 11x is built for that motion.

Last updated: November 2026.