Retell AI Pricing & Plans 2026

Name: Retell AI
Brand: Retell AI
Availability: InStock

Complete pricing guide for Retell AI. Compare all plans, analyze costs, and find the perfect tier for your needs.

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💎3 Paid Plans

⚡No Setup Fees

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Pay-as-you-go (Usage)

Per-minute, billed by component

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Volume / Growth

Discounted per-minute rates

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Enterprise

Custom

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Pricing sourced from Retell AI · Last verified March 2026

Feature Comparison

Detailed feature comparison coming soon. Visit Retell AI's website for complete plan details.

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Is Retell AI Worth It?

✅ Why Choose Retell AI

• 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

⚠️ Consider This

• 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

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

Pricing FAQ

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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More about Retell AI

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Is Retell AI Worth It?

✅ Why Choose Retell AI

• 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

⚠️ Consider This

• 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

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

Retell AI Pricing & Plans 2026

Choose Your Plan

Pay-as-you-go (Usage)

Volume / Growth

Enterprise

Feature Comparison

Is Retell AI Worth It?

✅ Why Choose Retell AI

⚠️ Consider This

What Users Say About Retell AI

👍 What Users Love

👎 Common Concerns

Pricing FAQ

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

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

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

How many concurrent calls can Retell AI handle?

Does Retell AI support chat agents in addition to voice?

Ready to Get Started?

More about Retell AI

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Retell AI Pricing & Plans 2026

Choose Your Plan

Pay-as-you-go (Usage)

Volume / Growth

Enterprise

Feature Comparison

Is Retell AI Worth It?

✅ Why Choose Retell AI

⚠️ Consider This

What Users Say About Retell AI

👍 What Users Love

👎 Common Concerns

Pricing FAQ

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

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

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

How many concurrent calls can Retell AI handle?

Does Retell AI support chat agents in addition to voice?

Ready to Get Started?

More about Retell AI

Compare Retell AI Pricing with Alternatives

Vapi Pricing

Bland AI Pricing

Synthflow AI Pricing