Best Retell AI Alternatives: Pricing, Features & Comparison

Retell AI is built for developer teams that want to create voice agents with APIs and custom AI models. Its flexibility, support for multiple LLMs, and developer-first approach make it a strong choice for technical teams. 

However, businesses that want no-code tools, enterprise features, predictable pricing, or different deployment options often look for Retell AI alternatives.

This guide breaks down the best alternatives to Retell AI in 2026, from open-source frameworks to no-code builders to enterprise-grade platforms, so you can choose the platform that best matches your business needs.

How we selected the best Retell AI alternatives in 2026

To create this list of 7 best Retell AI alternatives, we evaluated each platform based on the features and factors businesses consider when comparing alternatives to Retell AI. 

• Latency and voice quality: How fast the agent responds and how natural it sounds during interruptions and back-and-forth talk.
• Ease of deployment: Whether the platform needs a developer to set up, or a non-technical team can launch an agent on their own.
• Integration and scalability: CRM, telephony, and workflow integrations, plus how the platform handles call volume spikes.
• Compliance and reliability: SOC 2, HIPAA, and GDPR support, along with uptime history for teams in regulated industries.

We also considered whether each platform offers capabilities that Retell AI users commonly look for, such as no-code builders, self-hosting options, enterprise security, multilingual support, or lower operating costs.

Why trust our reviews?

Our recommendations are strictly based on product documentation, feature comparisons, pricing information, user feedback, and hands-on research. We are not affiliated with Retell AI or any of the platforms on this list. 

We assess every platform using the same evaluation criteria to provide balanced comparisons. As AI voice platforms continue to introduce new features and pricing updates, we regularly review and refresh our content to keep our recommendations accurate and relevant. 

Learn more about our content update process, content integrity standards, and software review methodology.

Why people look for Retell AI alternatives

Retell AI offers a powerful platform for building AI voice agents, particularly for developer-led teams. However, every business has different technical requirements, budgets, and deployment preferences. As a result, many organizations compare other platforms before making a decision.

• Some businesses prefer no-code or low-code builders so operations and support teams can create conversational AI agents without relying on developers.
• Developers may need greater control over AI models, call flows, and infrastructure.
• Enterprises frequently require advanced security, compliance, and governance features to meet industry regulations and internal IT policies.
• Businesses with global customers look for stronger multilingual support and ultra-realistic voices that perform well across different languages and regional accents.
• Many teams want deeper integrations with their existing CRM, helpdesk, and business software to automate workflows and keep customer data synchronized.
• Organizations compare conversation quality, latency, and voice realism to find the platform that delivers human-like conversations.
• Some businesses need a packaged, all-in-one platform instead of raw voice infrastructure they have to stitch together with separate tools.

What to evaluate in a Retell AI alternative 

The best alternative depends on how you plan to use AI voice agents. Here’s what to look at before choosing a platform:

• Ease of setup: Decide whether you need a no-code builder for quick deployment or a developer-focused platform with APIs and SDKs for complete customization.
• AI voice quality: Look for natural-sounding voices, low response latency, interruption handling, and accurate speech recognition to create smooth conversations.
• Scalability: Choose a solution that can handle growing call volumes, multiple agents, and global deployments without affecting performance.
• Security and compliance: Review security certifications, data privacy controls, and compliance support if your business operates in regulated industries.
• Ownership of reliability: Whether the vendor manages uptime, failover, and monitoring, or that responsibility falls on your team.

7 Best Retell AI alternatives & competitors in 2026

Here’s how the top Retell AI alternatives for 2026 stack up against each other:

Retell AI alternatives	Starting price	Key features	What it replaces
LiveKit	$0/month	Open-source framework, Access TTS, LLM, and STT models, Real-time voice & video WebRTC	Custom-built voice infrastructure stitched together from multiple vendors
Vapi	$0.05/minute (Pay-as-you-go)	AI guardrails, Dedicated deployment support, APIs, workflow automation	Retell’s developer API for teams that want more provider flexibility
Synthflow	Custom price	Custom telephony, Multi-agent system, Real-time monitoring	In-house developer builds for teams without engineering resources
Cognigy	Custom pricing	Omnichannel automation, Enterprise-ready generative AI, 100+ prebuilt integrations	Point-solution voice APIs for large contact centers needing a full CX suite
Bland AI	$0.14 (usage-based)	99.99% Uptime SLA, No token charges for LLM, Natural pacing for human-like delivery	Manual outbound calling teams and traditional cold-call dialers
Desible AI	Custom pricing	Context-aware AI, Advanced voice analytics, Multilingual conversations	Fragmented multichannel support tools for enterprise and regulated industries
Goodcall	$66/month	Free trial, Appointment scheduling, calendar/CRM integrations (Google Calendar, Zapier, GoHighLevel)	Traditional answering services and front-desk staff for local service businesses

Note: These prices are pulled directly from each vendor’s public pricing pages or blogs. Prices are subject to change, so visit the official page for the latest figures.

1. LiveKit

LiveKit is one of the best Retell AI alternative open-source WebRTC platforms built for developer teams. Unlike most Retell AI alternatives, it gives you the choice to self-host for free or run on LiveKit Cloud, so you’re never locked into one vendor’s infrastructure.

The platform started as a pure real-time communication stack before shifting to become one of the default building blocks for voice AI agents. Its Agents SDK handles the orchestration layer, letting developers plug in their preferred LLM, speech-to-text, and text-to-speech providers.

Ideal use case

Teams with in-house engineering resources who want full control over their voice AI stack, especially those with strict data-residency or compliance needs that make self-hosting the safer path.

Pricing

LiveKit’s Cloud plans start at $0/month on the Build tier, which includes 1,000 agent session minutes and 5,000 WebRTC minutes with no credit card required. Paid tiers start at $50/month (Ship) and $500/month (Scale), with custom Enterprise pricing for high-volume deployments. The open-source server itself is free to self-host indefinitely.

Key Features

• Open-source infrastructure: Deploy LiveKit on your own servers or use its managed cloud service.
• Bring your own AI models: Connect your preferred LLM, speech-to-text, and text-to-speech providers.
• Telephony support: Build AI phone agents with SIP connectivity and phone number support.
• Agent observability: Monitor conversions with recordings, transcripts, logs, and performance metrics.
• LiveKit cloud: Secure cloud platform for deploying and scaling your agents.

Pros 

• Ultra-low latency with WebRTC and optimized Selective Forwarding Units (SFUs)
• Open-source and free to self-host with no usage caps
• Granular control over which AI models power your voice agent

Cons

• The jump from Build to Ship can feel steep if usage lands between the free tier and the $50/month tier
• Requires technical expertise to set up and maintain
• Free tier includes community support only

2. Vapi

Vapi is a developer-first voice AI platform built for teams that want to create custom voice agents from the ground up. Instead of providing a fixed AI stack, it gives developers the choice of their preferred speech-to-text (STT), large language model (LLM), text-to-speech (TTS) provider, and telephony service.

The platform also offers APIs, SDKs, workflow automation, and real-time conversation orchestration to help businesses create AI agents for customer support, sales, scheduling, and other voice-based use cases. Vapi places greater emphasis on flexibility and vendor choice, giving teams more control over how their AI voice infrastructure is built and scaled.

Ideal use case

Vapi is ideal for developers or teams that want to build custom voice agents while choosing their own STT, language models, TTS providers, and telephony services. It’s a strong choice for businesses that value flexibility, API-first development, and complete control over their AI voice stack.

Pricing

Vapi follows a usage-based pricing model rather than traditional monthly subscriptions. Its Build plan is self-serve pay-as-you-go, with a $0.05/minute platform fee (covers only the orchestration layer) and no monthly subscription. Vapi also offers a Scale plan with a fixed platform fee and committed volume.

Key Features

• Bring your own AI stack: Connect your preferred STT, LLM, TTS, and telephony providers instead of being locked into a single vendor.
• Enterprise-grade reliability: 99.99% uptime, model fallback, and dynamic compute for teams running high call volumes.
• Multi-channel support: Build conversational AI agents for voice, SMS, and chat from the same platform.
• 4,000+ configuration settings: Fine-tune everything from turn-taking behavior to interruption handling through REST APIs and webhooks.
• Tool calling and webhooks: Trigger external actions mid-call, like booking appointments or pulling customer data from a CRM, without leaving the conversation.

Pros 

• New users also receive $10 in free credits to test the platform
• Supports a wide range of AI models and providers
• Deep configurability for engineering teams with specific workflow needs

Cons

• No published flat pricing, so real monthly cost is hard to estimate upfront
• Requires developer resources; no dedicated no-code builder for non-technical teams
• Costs can climb quickly once premium LLM and voice providers are added on top of the base rate

3. Synthflow 

Synthflow started as a no-code voice AI builder aimed at agencies and small teams. It’s since repositioned entirely around enterprise deployments and full-stack voice AI, with over 65 million voice calls processed monthly across 30+ countries.

That shift shows up clearly in its pricing. Synthflow no longer offers a self-serve or pay-as-you-go option for new customers. Every new account now goes through a sales-scoped Enterprise contract, positioning it as a Retell AI alternative for larger teams rather than solo builders or early-stage startups.

Ideal use case

Businesses that need a no-code voice AI builder but also require compliance certifications, high call volume support, and dedicated onboarding. It’s a better fit for a company already budgeting for a formal vendor contract than for a startup testing its first voice agent.

Pricing

Synthflow’s live pricing page no longer lists self-serve tiers. Every new account now goes through a sales-scoped Enterprise contract starting at $30,000 annually, priced around call volume, telephony, concurrency, integrations, and security needs.

Reaching out to sales now gets you a package scoped to your actual call volume rather than a generic tier, which is standard for platforms built around large-scale or highly regulated deployments.

Key Features

• In-house telephony network: Run AI phone agents on Synthflow’s own telephony infrastructure or connect your existing SIP and PBX systems.
• Visual flow designer: Build and edit conversation logic without writing code, then test every agent automatically in a sandbox before it goes live.
• BELL deployment framework: A structured build, evaluate, launch, and learn cycle that helps teams roll out agents faster and continuously improve.
• Compliance certifications: SOC 2, HIPAA, PCI DSS, and GDPR support, with audit logs and region-based hosting.
• CRM integrations: Native contact center integrations to 200+ CRMs like Salesforce, HubSpot, Genesys, and RingCentral.

Pros 

• 99.999% guaranteed uptime SLA
• No-code builder makes it accessible to non-technical teams
• Reliable scalability with tens of millions of calls processed monthly

Cons

• $30,000/year minimum puts it out of reach for startups and small businesses
• Pricing requires contacting the sales team
• To run an active voice test, you need to buy or link a real phone number rather than relying on a built-in sandbox simulator

4. Cognigy

Cognigy was one of the earliest low-code platforms built for enterprise contact centers. It gives large organizations the tools needed to build voice and chat AI agents on top of existing infrastructure like Genesys, Avaya, and Amazon Connect. In September 2025, NICE (NASDAQ: NICE) acquired Cognigy, and the platform now operates as NiCE Cognigy.

Cognigy focuses on enterprise deployments with advanced orchestration, analytics, governance, and security. It is commonly used by large organizations in industries such as banking, healthcare, insurance, retail, and telecommunications to manage high volumes of customer interactions.

Ideal use case

Large enterprises with existing contact center infrastructure that need omnichannel automation (voice, chat, and agent-assist) under one platform, along with the compliance, governance, and integration depth that comes with an enterprise vendor relationship.

Pricing

Cognigy doesn’t publish fixed pricing tiers. Every deployment goes through a sales-led process scoped around channels used (voice, chat, or both), call volume, LLM usage, and add-ons like Agent Copilot and Knowledge AI. Reaching out to sales gets you a package built around your organization’s actual interaction volume and existing systems.

Key Features

• Agentic AI studio: Low-code UI to build and orchestrate AI agents fast and ready to scale.
• Cognigy voice gateway: Connect AI voice agents to contact center platforms and telephony systems for voice automation.
• Agent copilot: Assist live agents with real-time suggestions and knowledge retrieval during customer conversations.
• Knowledge AI: Retrieve accurate answers from enterprise documents and knowledge bases using retrieval-augmented generation (RAG).
• Analytics & Insights: Monitor conversations, track AI performance, and identify opportunities to improve customer experiences.

Pros 

• Extensive integrations with contact center and CRM platforms
• Supports multilingual customer interactions
• Handles both voice and chat under one unified platform

Cons

• No published pricing; custom pricing requires contacting the sales team
• Long implementation timelines, often 2 to 4 months before go-live
• Requires dedicated technical resources; not built for small or mid-sized teams

5. Bland AI

Bland AI runs on its own infrastructure end to end, building the LLM, STT, and TTS into one stack instead of stitching together third-party providers. This keeps latency low (400ms average) and keeps customer data from passing through outside vendors, making it one of the top Retell AI alternatives for 2026.

The company has repositioned around healthcare, insurance, financial services, and logistics, industries where security and audit trails matter as much as call quality. Customers use it for high-stakes calls such as claims processing or patient outreach, which sets it apart from most Retell AI competitors still positioned primarily around cold-calling and lead gen.

Ideal use case

Enterprises in regulated industries that need AI phone agents for high-stakes calls, like insurance claims, patient outreach, or financial services support. 

Pricing

Bland runs on a tiered, pay-per-minute model. 

The Start plan is $0.14/minute with no platform fee, built for developers testing the platform. The Build plan drops to $0.12/minute for a $299/month platform fee. The Scale plan is $0.11/minute for a $499/month platform fee. Enterprise pricing is custom, contracted to volume, with dedicated infrastructure and on-prem or VPC deployment available.

Key Features

• Bland speech: A proprietary voice model that turns text into a human-like voice.
• Norm (AI agent builder): Describe the agent you want in plain language, and Norm builds the conversation pathway.
• Omnichannel deployment: Run the same agent across voice, SMS, iMessage, and web chat with unified memory.
• Pre-production testing: Run agents through thousands of scripted call scenarios before going live, to catch failure points ahead of real customer calls.
• Voice cloning: Create custom AI voices that match your brand or preferred speaking style for a more consistent caller experience.

Pros 

• All-inclusive per-minute rate with no separate LLM or voice provider bills
• Comprehensive API and workflow automation capabilities
• Strong enterprise security and deployment support

Cons

• Per-minute rate looks simple upfront, but transfer fees and add-ons still affect total cost.
• Enterprise deployment timelines run 2 to 6 weeks, longer than some no-code competitors
• Lacks advanced, intuitive no-code or visual UI tools for non-developers

6. Desible AI

Desible AI is a voice automation platform built primarily for banking, financial services, and insurance (BFSI) organizations. It helps businesses automate customer conversations across voice, WhatsApp, SMS, and email using multilingual AI agents that can manage high-volume interactions while following predefined business workflows.

Its entire product is organized around regulated-industry workflows: lead qualification for insurance sales teams, policy renewal follow-ups, KYC verification, and soft collections outreach for NBFCs. That focus makes Desible a Retell AI alternative worth considering.

Ideal use case

BFSI (banking, financial services, and insurance) companies that need compliant, high-volume voice automation for workflows like lead qualification, policy renewals, KYC verification, and payment reminders, across voice, WhatsApp, SMS, and email in one platform.

Pricing

Desible doesn’t publish pricing. Instead of tiers, they run a request-based model: you submit your industry, expected monthly interaction volume, and preferred channels, and their team sends back a plan scoped to that workflow.

That’s a reasonable approach for a platform this specialized. Since pricing depends heavily on regulated-industry compliance needs, interaction volume, and which channels you’re using, a generic published tier likely wouldn’t reflect what a real insurance or banking deployment actually costs. 

Key Features

• Multilingual AI voice agents: Handle customer conversations in multiple languages while maintaining natural, context-aware interactions.
• Context-aware conversations: AI agents understand customer intent and follow predefined business workflows.
• Advanced voice analytics: Track sentiment, call quality, customer intent, and agent performance with detailed reporting dashboards.
• Enterprise-ready voice AI agents: Provide prebuilt AI agents for different industry-specific use cases.

Pros 

• Purpose-built for BFSI compliance and workflow needs
• Offers rapid response time and handles high call volumes without added latency
• Strong multilingual and omnichannel capabilities

Cons

• It’s less practical for small businesses as it is heavily focused on BFSI industries
• Technical expertise is required to set up custom voice workflows and integrate deep telephony pipelines
• No public pricing, so there’s no way to estimate cost without contacting sales

7. Goodcall

Goodcall started at Google in 2017 and has since grown into a no-code AI phone agent platform aimed at small and mid-sized businesses. It enables teams to deploy an AI receptionist in minutes without requiring technical expertise. 

The platform has since added an enterprise tier for larger call centers, but its core audience remains local service businesses: salons, home-service companies, restaurants, and retail shops that get a steady stream of calls without dedicated front-desk staff. It’s a Retell AI alternative built for buyers who want a phone agent running in minutes.

Ideal use case

Goodcall is ideal for small businesses, healthcare providers, home service companies, law firms, and local businesses that want an AI receptionist to answer calls 24/7, qualify leads, book appointments, and route callers without needing a development team.

Pricing

Goodcall charges per unique caller served each month rather than per minute, which means unlimited conversation length per caller but a cap on how many different people the agent can talk to. The Starter plan is $66/month for 100 unique callers, Growth is $108/month, and Scale is $208/month on annual billing.

Key Features

• AI receptionist: Answers incoming calls around the clock, responds to customer questions, captures caller information, and transfers calls when needed.
• Local number provisioning: Assigns a local area code number per agent, or forwards your existing business line instead of replacing it.
• Appointment scheduling: Allows callers to book appointments directly during conversations while syncing availability with your calendar.
• CRM and calendar sync: Integrates with Google Calendar, Zapier, and GoHighLevel to book appointments and cut manual scheduling work.
• Call analytics & recordings: Review call recordings, customer details, and performance metrics to monitor how your AI receptionist is handling conversations.

Pros 

• Predictable subscription pricing with unlimited minutes and tokens
• Quick deployment for small businesses
• Strong compliance credentials for a platform built primarily for small businesses

Cons

• Overage fees can push actual cost well above the listed plan price for high-volume businesses
• Fewer developer customization options than API-first platforms like Retell AI or Vapi
• Some advanced workflow capabilities are only available on higher-tier plans

Conclusion: Building AI from scratch vs. buying the tool

Building a voice AI stack from scratch only makes sense if you have engineering resources and need full control over data, compliance, or model choice. For most businesses, choosing an existing platform is faster, more cost-effective, and easier to scale.

Here’s a quick guide to help you choose the right Retell AI alternative based on your needs:

• Choose LiveKit if you have developers and want a free, open-source, self-hosted stack with no vendor lock-in.
• Choose Vapi if you need full control over your LLM, voice, and transcription providers, and have engineering resources to configure it.
• Choose Synthflow if you’re an enterprise team that needs a no-code builder backed by compliance certifications and dedicated onboarding.
• Choose Cognigy if you’re a large enterprise contact center that needs omnichannel automation across voice and chat at massive scale.
• Choose Bland AI if you’re in a regulated industry like healthcare, insurance, or finance and need compliance-first infrastructure with low latency.
• Choose Desible AI if you’re specifically in insurance or banking and need multichannel automation across voice, WhatsApp, SMS, and email.
• Choose Goodcall if you’re a small local service business that wants a no-code AI receptionist live in minutes, without hiring a developer.