Bland AI vs Retell AI

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

	Bland AI Audio	Retell AI Audio
Tagline	Enterprise voice AI for automated phone calls at scale	Build, test and deploy production-grade AI voice agents for inbound and outbound calls.
Category	Audio	Audio
Pricing	Enterprise· Start: $0 · Build: $299 · Scale: $499 · Enterprise: Custom	Freemium· Pay-as-you-go: $0.07-$0.31/minute · Enterprise: Custom Pricing
Model	Proprietary in-house voice models	LLM-agnostic (OpenAI, Anthropic, Google and others selectable per agent); proprietary turn-taking model and voice pipeline in-house
Editorial score	—	—
Use cases	Outbound appointment remindersInsurance claims intake callsCollections and payment remindersInbound customer support triageLead qualification callsHealthcare member re-engagementOrder and delivery status callsIVR replacementMultilingual call handlingOmnichannel voice-plus-SMS follow-up	AI inbound call answeringOutbound lead qualificationAppointment scheduling and remindersCollections and payment dialers24/7 customer support triageIVR replacementHealthcare intake and follow-up callsInsurance claims first-notice-of-lossVoice-enabled RAG knowledge assistantsChat and SMS agents sharing a voice knowledge base
Pros	Sub-400ms voice latency keeps conversations feeling natural rather than turn-based Models can run on customer infrastructure, unlocking healthcare, financial services, and other regulated use cases Unified agent context across voice, SMS, iMessage, and web chat rather than siloed channels Scenario-based testing lets you regression-test agents against simulated calls before production Strong contact-center integration coverage (Twilio, Salesforce, HubSpot, Genesys, Five9, Zapier) 40+ language support with real-time translation across 23 Norm assistant lowers the barrier for non-specialists to build production agents	Sub-second end-to-end latency (~600 ms) with a purpose-built turn-taking model — conversations feel natural rather than walkie-talkie. Batteries-included telephony: bring Twilio/Vonage/Telnyx/Amazon Connect or use Retell-provisioned numbers with SIP trunking. Real function calling for booking, transfers, payments and CRM writes, with pre-built HubSpot, Salesforce, Cal.com, n8n, Zapier and Make integrations. Streaming RAG knowledge base with auto-sync, plus simulation testing and continuous QA — the operational glue most DIY voice stacks skip. Enterprise compliance out of the box: HIPAA, SOC 2 Type II, GDPR, PII removal and safety guardrails as toggleable add-ons. Genuinely transparent pay-as-you-go pricing with a $10 starter credit, so you can benchmark cost per call before committing.
Cons	Pricing is not transparent; per-minute rate and enterprise tiers require contact-sales Underlying model family is proprietary and undocumented, limiting portability and evaluation Enterprise positioning and self-hosted deployment options are overkill for hobbyists or small pilots No open-source components; you are locked into Bland's platform for orchestration and telephony glue Public documentation of hard limits (concurrent calls, rate limits, latency guarantees) is thin outside of sales conversations	Per-minute costs stack quickly once you enable QA ($0.10/min), knowledge base, denoising and premium LLMs — a 'cheap' agent can land near $0.30+/min. The specific LLMs are pluggable but Retell doesn't publish a default recommendation, so cost/quality tuning is on you. Not open source and there is no self-hosted option — regulated buyers who need on-prem inference are out of scope. Voice/telephony focus means it is overkill (and overpriced) for pure text chatbots you could run on a generic LLM API. True enterprise features (unlimited concurrency, custom compliance, dedicated support) require a sales conversation, not a self-serve upgrade.
Website	www.bland.ai	www.retellai.com

Pick Bland AI if

✅ Sub-400ms voice latency keeps conversations feeling natural rather than turn-based
✅ Models can run on customer infrastructure, unlocking healthcare, financial services, and other regulated use cases
✅ Unified agent context across voice, SMS, iMessage, and web chat rather than siloed channels
✅ Scenario-based testing lets you regression-test agents against simulated calls before production

Pick Retell AI if

✅ Sub-second end-to-end latency (~600 ms) with a purpose-built turn-taking model — conversations feel natural rather than walkie-talkie.
✅ Batteries-included telephony: bring Twilio/Vonage/Telnyx/Amazon Connect or use Retell-provisioned numbers with SIP trunking.
✅ Real function calling for booking, transfers, payments and CRM writes, with pre-built HubSpot, Salesforce, Cal.com, n8n, Zapier and Make integrations.
✅ Streaming RAG knowledge base with auto-sync, plus simulation testing and continuous QA — the operational glue most DIY voice stacks skip.

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