Retell AI Doesn't Have a Free Plan — Here's What It Costs

⚡ Quick Verdict

No free plan. The cheapest way in is paid plan at Per-minute, billed by component. Consider free alternatives in the voice agents category if budget is tight.

See Pricing →See Plans ↓

Who Should Pay for This

👤

Best For

✓Established business
✓Budget for premium tools
✓Need voice agents features
✓Professional use case
✓Want official support

What Users Say About Retell AI

👍 What Users Love

✓Sub-second response latency and a tuned turn-taking model produce conversations that interrupt, pause, and recover more naturally than most competing voice agent platforms
✓Three build modes (single-prompt, conversation flow, custom LLM) cover both no-code prototyping and deeply customized agent stacks where teams want to bring their own model
✓Built-in telephony plus SIP trunk support means teams can ship a working phone agent end-to-end without stitching together Twilio, a TTS vendor, and an LLM provider separately
✓HIPAA compliance and SOC 2 controls make it one of the few voice agent platforms that healthcare and financial-services teams can deploy in production without major workarounds
✓Strong voice library with multilingual support and voice cloning lets brands match accent, language, and persona to their target market
✓Scales to thousands of concurrent calls with batch dialing, making it viable for outbound campaigns and high-volume contact centers, not just demo-scale prototypes

👎 Common Concerns

⚠Per-minute pricing stacks telephony, voice, and LLM costs separately, so total cost per call can be hard to forecast and gets expensive at high volume compared with self-hosted stacks
⚠Building robust production agents still requires prompt engineering, function-calling design, and conversation-flow testing — the polished demos hide significant tuning work
⚠Conversation-flow builder is powerful but can become unwieldy for very complex branching logic, pushing teams toward custom LLM mode where they take on more engineering burden
⚠Voice cloning and some advanced voices depend on third-party providers, which means quality, latency, and pricing can shift when those upstream vendors change
⚠Documentation and best practices around edge cases like background noise, accents, and barge-in tuning are still maturing, and teams often learn through trial and error in production

🆓 Free Alternatives to Retell AI

→ Vapi

Free plan includes: all platform features available, testing credits for evaluation, dashboard and api access

Free PlanCompare →

→ Bland AI

Free plan includes: basic features

Free PlanCompare →

→ Synthflow AI

Free plan includes: build and test ai voice agents, access to industry agent templates, visual voice flow designer

Free PlanCompare →

Frequently Asked Questions

How does Retell AI's per-minute pricing actually work?

Retell AI uses modular per-minute pricing with three mandatory components: voice infrastructure ($0.055/min), TTS ($0.015-$0.040/min depending on provider), and LLM ($0.003-$0.16/min depending on model). Add optional extras like knowledge base (+$0.005/min), denoising (+$0.005/min), or PII removal (+$0.01/min). SIP trunking telephony is free; phone calls add ~$0.015/min. Realistic total: $0.10-$0.25/min for most production setups.

Can Retell AI be self-hosted or deployed on-premises?

No, Retell AI is cloud-hosted only. The real-time voice orchestration runs on Retell's infrastructure. For HIPAA compliance, the Enterprise plan offers BAA agreements and data controls. For self-hosted alternatives, LiveKit provides open-source real-time audio infrastructure, though replicating Retell's turn-taking requires significant engineering.

Which LLM and voice combination offers the best cost-quality balance?

For most use cases, GPT-4.1 ($0.045/min) or GPT-4.1 Mini ($0.016/min) paired with Retell Platform Voices ($0.015/min) offers the best balance. This gives you total costs of $0.115-$0.13/min with strong conversation quality. For budget agents handling simple tasks, GPT-5 nano ($0.003/min) brings total costs to ~$0.073/min.

How many concurrent calls can Retell AI handle?

Pay-as-you-go includes 20 concurrent calls, with additional capacity at $8/month per concurrent slot. Enterprise plans have no cap on concurrent calls and include dedicated server infrastructure for consistent performance under load.

Does Retell AI support chat agents in addition to voice?

Yes, Retell AI offers chat agents with per-message pricing separate from voice. Chat pricing ranges from $0.001/message (GPT-5 nano) to $0.03/message (Claude 4.5 Sonnet). Chat agents support SMS at $0.01/message and can share the same knowledge base and function calling setup as voice agents.

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See Retell AI plans and find the right tier for your needs.

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Last verified March 2026

What Users Say About Retell AI

👍 What Users Love

✓Sub-second response latency and a tuned turn-taking model produce conversations that interrupt, pause, and recover more naturally than most competing voice agent platforms
✓Three build modes (single-prompt, conversation flow, custom LLM) cover both no-code prototyping and deeply customized agent stacks where teams want to bring their own model
✓Built-in telephony plus SIP trunk support means teams can ship a working phone agent end-to-end without stitching together Twilio, a TTS vendor, and an LLM provider separately
✓HIPAA compliance and SOC 2 controls make it one of the few voice agent platforms that healthcare and financial-services teams can deploy in production without major workarounds
✓Strong voice library with multilingual support and voice cloning lets brands match accent, language, and persona to their target market
✓Scales to thousands of concurrent calls with batch dialing, making it viable for outbound campaigns and high-volume contact centers, not just demo-scale prototypes

👎 Common Concerns

⚠Per-minute pricing stacks telephony, voice, and LLM costs separately, so total cost per call can be hard to forecast and gets expensive at high volume compared with self-hosted stacks
⚠Building robust production agents still requires prompt engineering, function-calling design, and conversation-flow testing — the polished demos hide significant tuning work
⚠Conversation-flow builder is powerful but can become unwieldy for very complex branching logic, pushing teams toward custom LLM mode where they take on more engineering burden
⚠Voice cloning and some advanced voices depend on third-party providers, which means quality, latency, and pricing can shift when those upstream vendors change
⚠Documentation and best practices around edge cases like background noise, accents, and barge-in tuning are still maturing, and teams often learn through trial and error in production