Bland AI is an enterprise phone agent platform built for developers and operations teams automating high-volume inbound and outbound calls; Retell AI is an AI voice agent platform focused on low-latency conversational AI with flexible LLM and voice provider integrations.
Major takeaways
Who should pick Bland AI over Retell AI? Teams that need a no-code builder for outbound campaigns, bundled telephony, and enterprise compliance documentation at scale.
Who should pick Retell AI over Bland AI? Developers building custom voice products who want full control over LLM choice, voice providers, and infrastructure integration via API.
How do their pricing models differ? Bland AI charges per minute with bundled telephony; Retell AI charges per minute plus separate fees for LLM, TTS, and telephony usage.
If you care about X, pick Y
| If you care about | Pick | Why |
|---|---|---|
| No-code campaign builder | Bland AI | Bland AI has a visual builder for outbound campaigns; Retell AI is API-first and requires code. |
| LLM and voice provider choice | Retell AI | Retell AI supports bring-your-own LLM (OpenAI, Anthropic, Groq) and multiple TTS providers; Bland AI uses vendor-hosted models. |
| Bundled telephony and phone numbers | Bland AI | Bland AI includes phone numbers and carrier routing in the per-minute rate; Retell AI requires separate telephony setup. |
| Pricing transparency | Retell AI | Retell AI publishes per-minute rates and component costs; Bland AI requires contact for enterprise pricing. |
| Published compliance certifications | Bland AI | Bland AI lists SOC 2 Type II and HIPAA compliance on its site; Retell AI's compliance documentation is not publicly detailed. |
| Latency and interruption handling | Retell AI | Retell AI reportedly optimizes for sub-800ms latency and granular turn-taking controls; Bland AI does not publish latency benchmarks. |
How we evaluated
This comparison draws on vendor documentation from Bland AI's site (bland.ai), Retell AI's site (retellai.com), pricing pages, API documentation, and review coverage from G2, Trustpilot, and TrustRadius accessed in October 2026. We evaluated build experience, telephony flexibility, LLM and voice provider options, pricing structure, compliance statements, and integration depth. No test calls were placed, no agents were built, and no performance measurements were conducted. This is desk research based on publicly available sources. Last updated: October 2026.
What each platform does
Bland AI
Bland AI is an enterprise phone agent platform designed for operations teams and developers automating inbound customer service, outbound reminders, appointment booking, and contact-centre overflow.
The platform has a visual campaign builder for outbound calling, bundled telephony with phone numbers included, and warm transfer to human agents. Bland AI states it handles high concurrency and supports enterprise compliance requirements including SOC 2 Type II and HIPAA. Teams in healthcare, real estate, and financial services use the platform for high-volume call automation. Source: Bland AI
Retell AI
Retell AI is an AI voice agent platform built for developers creating custom conversational voice products. The platform provides API-first access to voice agent infrastructure with support for bring-your-own LLM (OpenAI, Anthropic, Groq, custom models), multiple TTS providers (ElevenLabs, Azure, Google, Deepgram), and flexible telephony integration via Twilio, Vonage, or SIP.
Retell AI reportedly optimizes for low latency (sub-800ms response times) and granular interruption handling. Developers building voice-enabled applications in sales, support, and product experiences use the platform. Source: Retell AI
Feature comparison
| Capability | Bland AI | Retell AI |
|---|---|---|
| Build model | No-code visual builder + API | API-first, SDK required |
| Inbound calls | ✓ | ✓ |
| Outbound calls / campaigns | ✓ Visual campaign builder | ✓ API-driven, no visual builder |
| Telephony | Bundled numbers and carrier | Bring-your-own (Twilio, Vonage, SIP) |
| LLM choice | Vendor-hosted models | Bring-your-own (OpenAI, Anthropic, Groq, custom) |
| Voice / TTS provider choice | Vendor-hosted voices | Multiple providers (ElevenLabs, Azure, Google, Deepgram) |
| Languages | Not publicly specified | Not publicly specified |
| Interruption handling | Supported, controls not detailed | Granular turn-taking and barge-in controls |
| Warm transfer / human handoff | ✓ | ✓ |
| Function calling / tool use | ✓ CRM lookups, booking actions | ✓ Custom function calling via API |
| CRM and calendar integrations | Salesforce, HubSpot, Google Calendar | API-driven, developer builds integrations |
| Call recording, transcripts, analytics | ✓ Dashboard and API access | ✓ API access, developer builds dashboard |
| Compliance statements | SOC 2 Type II, HIPAA (as published) | Not publicly detailed |
| Concurrency limits | Enterprise-tier, not publicly specified | Not publicly specified |
Pricing and cost per minute
Bland AI pricing
Bland AI's pricing is not publicly listed on its website. The platform reportedly charges per minute with bundled telephony, phone numbers, and carrier routing included in the rate. Enterprise contracts are custom-quoted based on expected monthly call volume, concurrency requirements, and compliance needs.
Based on third-party sources, per-minute rates for enterprise customers are estimated in the range of $0.09–$0.15 per minute, though this is unverified and may vary by contract terms. No free tier or self-serve pricing is available. Source: Third-party estimates, unverified
| Tier | Per-minute rate | What's included | Contract |
|---|---|---|---|
| Enterprise (custom quote) | Estimated $0.09–$0.15 | Telephony, LLM, TTS, phone numbers | Annual contract, volume-based |
Retell AI pricing
Retell AI publishes a usage-based pricing model with separate charges for platform usage, LLM inference, TTS, and telephony. The platform fee is reportedly $0.04 per minute. LLM costs depend on the provider and model chosen (e.g., OpenAI GPT-4 Turbo is billed at OpenAI's API rates). TTS costs vary by provider (ElevenLabs, Azure, Google, Deepgram). Telephony is billed separately via the customer's Twilio, Vonage, or SIP carrier account.
No platform fee or minimum is required to start. Source: Retell AI Pricing
| Component | Rate | Notes |
|---|---|---|
| Platform fee | $0.04 per minute | Retell AI infrastructure usage |
| LLM | Variable (e.g., OpenAI API rates) | Customer's own API key and billing |
| TTS | Variable (e.g., ElevenLabs, Azure) | Customer's own provider account |
| Telephony | Variable (e.g., Twilio $0.013/min) | Customer's own carrier account |
What a month of calls might cost
To estimate monthly spend, multiply the number of calls by average call length in minutes, then apply the all-in per-minute rate (platform + LLM + TTS + telephony). For Bland AI, the all-in rate is bundled; for Retell AI, sum the component costs.
Illustrative example (not a benchmark): Assume 1,000 calls per month, 3 minutes per call (3,000 total minutes). For Bland AI at an estimated $0.12 per minute, the monthly cost would be approximately $360. For Retell AI, assume $0.04 platform + $0.02 LLM (GPT-4 Turbo estimate) + $0.02 TTS (ElevenLabs estimate) + $0.013 telephony (Twilio), totaling approximately $0.093 per minute, or $279 per month. These are illustrative assumptions; actual costs depend on the LLM model, TTS provider, call length, and contract terms negotiated with each vendor.
What users say
Bland AI user feedback
Public review volume for Bland AI is limited; the recurring themes below are drawn from the available G2 / Trustpilot / TrustRadius coverage. Users in healthcare and real estate report that Bland AI's bundled telephony and no-code campaign builder reduce setup time for outbound reminder calls and appointment confirmations. Some reviewers note that enterprise pricing is not transparent and requires a sales conversation to obtain a quote. Call quality and warm transfer reliability are cited as strengths in customer-service deflection use cases.
Retell AI user feedback
Developers building custom voice products on Retell AI report that the platform's API-first design and support for bring-your-own LLM and TTS providers offer flexibility not available in bundled platforms. Latency and interruption handling are frequently cited as strengths, with reviewers noting sub-second response times in production deployments.
Some users flag that the platform requires technical expertise to integrate and that there is no visual builder for non-developers. Pricing transparency and the ability to control infrastructure costs via separate provider accounts are noted as advantages over platforms with opaque bundled pricing.
Strengths and gaps
What Bland AI does well
No-code campaign builder. Bland AI's visual builder allows operations teams to launch outbound calling campaigns without writing code, reducing time-to-deployment for reminder calls, appointment booking, and customer outreach.
Bundled telephony. Phone numbers, carrier routing, and telephony infrastructure are included in the per-minute rate, eliminating the need to manage separate Twilio or Vonage accounts.
Enterprise compliance documentation. Bland AI publishes SOC 2 Type II and HIPAA compliance statements, which procurement teams in healthcare and financial services require for vendor approval.
Warm transfer and human handoff. The platform supports transferring calls to live agents, a critical feature for contact-centre overflow and high-stakes customer-service scenarios.
Where Bland AI has gaps
Bland AI does not publish per-minute rates or tier details, requiring buyers to contact sales for a custom quote, which adds friction to procurement timelines.
The platform uses vendor-hosted models and voices; teams that want to bring their own LLM (e.g., a fine-tuned GPT-4 model) or TTS provider cannot do so.
Bland AI does not publish latency figures or interruption-handling controls, making it difficult for buyers to compare real-time conversational quality against competitors.
The platform's no-code focus limits customization for teams that need granular control over conversation flow, function calling, or infrastructure integration.
What Retell AI does well
Bring-your-own LLM and TTS. Retell AI supports OpenAI, Anthropic, Groq, and custom models, plus multiple TTS providers (ElevenLabs, Azure, Google, Deepgram), giving developers full control over voice quality and inference costs.
Low latency and interruption handling. The platform reportedly optimizes for sub-800ms response times and has granular turn-taking controls, which improve conversational naturalness in real-time voice interactions.
Pricing transparency. Retell AI publishes its platform fee ($0.04 per minute) and separates LLM, TTS, and telephony costs, allowing buyers to model total cost of ownership before signing a contract.
API-first flexibility. Developers can integrate Retell AI into existing applications, build custom dashboards, and control conversation logic via SDK, which is not possible in no-code platforms.
Where Retell AI has gaps
Retell AI requires code to build and deploy agents; operations teams without developer resources cannot use the platform without external engineering support.
Buyers must set up and manage their own Twilio, Vonage, or SIP carrier accounts, adding operational complexity compared to platforms with bundled telephony.
Retell AI does not publish SOC 2, HIPAA, or GDPR compliance statements on its site; procurement teams in regulated industries must request documentation directly.
The platform does not have a visual campaign builder for outbound calling; teams running high-volume outbound reminders or sales calls must build campaign logic via API.
Which use cases fit each
| Use case | Stronger fit | Why |
|---|---|---|
| Inbound lead qualification and speed-to-lead | Retell AI | Retell AI's low latency and flexible LLM choice suit real-time qualification; Bland AI's bundled telephony simplifies setup for teams without developer resources. |
| Appointment booking and reminders | Bland AI | Bland AI's no-code campaign builder and bundled telephony reduce deployment time for high-volume outbound appointment workflows. |
| After-hours reception and call routing | Either | Both platforms support inbound call handling and warm transfer; choice depends on whether the buyer prefers no-code (Bland AI) or API-first (Retell AI). |
| Outbound sales calling | Bland AI | Bland AI's visual campaign builder and bundled telephony fit teams running scripted outbound sales calls without developer support. |
| Customer-support deflection | Either | Both platforms handle inbound support calls and transfer to humans; Bland AI's compliance documentation may be required in regulated industries. |
| High-volume contact-centre overflow | Bland AI | Bland AI's enterprise compliance and bundled telephony suit contact-centre use cases; Retell AI requires more technical setup. |
| Developer building a custom voice product | Retell AI | Retell AI's API-first design, bring-your-own LLM, and TTS flexibility suit developers building voice-enabled applications from scratch. |
| Healthcare or financial services compliance | Bland AI | Bland AI publishes SOC 2 Type II and HIPAA compliance; Retell AI's compliance documentation is not publicly detailed. |
Pick Bland AI if you...
Need a no-code builder to launch outbound calling campaigns without writing code or managing developer resources.
Want bundled telephony with phone numbers and carrier routing included in the per-minute rate.
Require published SOC 2 Type II and HIPAA compliance documentation for procurement approval in healthcare or financial services.
Prioritize warm transfer to human agents for contact-centre overflow or high-stakes customer-service scenarios.
Pick Retell AI if you...
Are a developer building a custom voice product and need full control over LLM choice, TTS providers, and infrastructure integration.
Want pricing transparency with separate platform, LLM, TTS, and telephony costs to model total cost of ownership before signing a contract.
Prioritize low latency (sub-800ms) and granular interruption-handling controls for real-time conversational quality.
Have technical resources to integrate via API and manage your own Twilio, Vonage, or SIP carrier account.
Note: if the calls you're automating are inbound sales conversations that need to sit alongside an outbound AI SDR in one platform, teams in that position typically also evaluate 11x's Julian.
Verdict
Bland AI is the stronger fit for operations teams and contact-centre leaders who need a no-code builder for high-volume outbound campaigns, bundled telephony, and enterprise compliance documentation. The platform's visual campaign builder, included phone numbers, and published SOC 2 Type II and HIPAA compliance reduce deployment friction for teams in healthcare, real estate, and financial services. The trade-off is pricing opacity (no published rates) and vendor lock-in on LLM and voice providers, which limits flexibility for teams that want to bring their own models or optimize inference costs.
Retell AI is the better starting point for developers building custom voice products who need full control over LLM choice, TTS providers, and infrastructure integration. The platform's API-first design, support for bring-your-own models (OpenAI, Anthropic, Groq, custom), and published pricing ($0.04 per minute platform fee plus separate LLM, TTS, and telephony costs) suit teams that want to model total cost of ownership and avoid vendor lock-in. The trade-off is the lack of a visual builder and the operational burden of managing separate telephony accounts, which makes Retell AI a poor fit for non-technical teams.
Before committing to either platform, build the same short test flow on both (e.g., a 2-minute inbound qualification call with one warm transfer and one CRM lookup). Confirm the all-in per-minute rate at your expected monthly volume, including LLM, TTS, and telephony costs for Retell AI. Request compliance documentation directly from each vendor if your procurement process requires SOC 2, HIPAA, or GDPR attestation. Test latency and interruption handling in a production-like environment if conversational quality is a deal-breaker for your use case.
Frequently asked questions
Is Bland AI cheaper than Retell AI?
It depends on call volume, LLM choice, and TTS provider. Bland AI's per-minute rate is estimated at $0.09–$0.15 (unverified, bundled), while Retell AI's all-in rate is approximately $0.09 per minute when using GPT-4 Turbo, ElevenLabs TTS, and Twilio telephony. Retell AI's pricing is transparent and published; Bland AI requires a custom quote. Teams with high call volumes may negotiate lower per-minute rates with Bland AI, but Retell AI's component-based pricing allows buyers to optimize costs by choosing cheaper LLM or TTS providers.
Which is easier to build with if I can't code?
Bland AI. The platform has a no-code visual builder for outbound campaigns and inbound call flows, which allows operations teams to launch agents without developer resources. Retell AI is API-first and requires code to build, deploy, and integrate agents. Teams without technical expertise cannot use Retell AI without external engineering support.
Can I bring my own phone numbers or carrier to each?
Retell AI supports bring-your-own telephony via Twilio, Vonage, or SIP, allowing buyers to use existing phone numbers and carrier accounts. Bland AI bundles telephony and phone numbers into the per-minute rate; the platform does not support bring-your-own carrier. Teams with existing telephony infrastructure or negotiated carrier rates may prefer Retell AI's flexibility.
Which handles outbound calling campaigns better?
Bland AI. The platform has a visual campaign builder for outbound calling, which allows teams to upload contact lists, set calling schedules, and track campaign performance without writing code. Retell AI does not have a visual campaign builder; outbound calling logic must be built via API, which requires developer resources. Teams running high-volume outbound reminders, appointment confirmations, or sales calls will find Bland AI's no-code approach faster to deploy.
Are Bland AI and Retell AI HIPAA compliant?
Bland AI publishes HIPAA compliance and SOC 2 Type II certification on its website. Retell AI does not publicly list HIPAA or SOC 2 compliance; buyers in healthcare or other regulated industries should request compliance documentation directly from Retell AI before signing a contract. Compliance with TCPA, call-recording laws, and consent requirements depends on how the customer deploys the platform, not on the platform itself.
Can either transfer a call to a human?
Yes. Both Bland AI and Retell AI support warm transfer to human agents. Bland AI includes warm transfer as a built-in feature in its visual builder. Retell AI supports warm transfer via API, which developers configure during integration. Both platforms allow the AI agent to hand off the call to a live agent when the conversation requires human intervention.
What do users complain about most?
Bland AI users cite pricing opacity and the lack of published per-minute rates as friction points in procurement. Some reviewers note that the platform's vendor-hosted LLM and TTS models limit flexibility for teams that want to bring their own providers. Retell AI users flag the lack of a visual builder and the operational burden of managing separate telephony accounts as barriers for non-technical teams. Developers report that Retell AI's API-first design requires more upfront integration work than no-code platforms.
How does 11x's Julian compare to Bland AI and Retell AI?
Julian is 11x's AI phone agent for inbound speed-to-lead and qualification, sold as part of the 11x platform alongside Alice (outbound AI SDR). Julian is a packaged sales agent rather than a general-purpose voice-building platform, so teams building custom voice products typically compare it less directly to Bland AI or Retell AI. Julian is designed for revenue teams automating inbound sales conversations that need to sit alongside outbound prospecting in one system. Bland AI and Retell AI are infrastructure platforms for developers and operations teams building voice agents across a wider range of use cases (support, booking, reminders, custom products).
What latency can I expect from each platform?
Retell AI reportedly optimizes for sub-800ms response times and publishes latency as a core performance metric. Bland AI does not publish latency benchmarks or interruption-handling specifications on its site. Buyers for whom conversational quality and real-time responsiveness are critical should test both platforms in a production-like environment before committing.
Do either platforms support multilingual conversations?
Neither Bland AI nor Retell AI publishes a list of supported languages on their websites. Buyers requiring multilingual support should confirm language availability and voice quality directly with each vendor before signing a contract.
Last updated: October 2026.
