Retell AI vs 11x
Detailed side-by-side comparison to help you choose the right tool
Retell AI
🔴DeveloperVoice AI Tools
Voice AI platform for building conversational phone agents with human-like speech, ultra-low latency, and natural turn-taking for call center automation.
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Starting Price
$0.07/min11x
🟢No CodeVoice AI Tools
11x provides AI digital workers for sales development, featuring Alice the AI SDR for autonomous outbound email prospecting and Julian the AI Phone Agent for intelligent voice conversations. The platform handles end-to-end sales development workflows including prospect identification, research, personalized outreach, follow-ups, and meeting scheduling — operating 24/7 to generate qualified pipeline at a fraction of the cost of human SDR teams.
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Starting Price
~$5,000/monthFeature Comparison
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Retell AI - Pros & Cons
Pros
- ✓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
Cons
- ✗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
11x - Pros & Cons
Pros
- ✓Deploys true end-to-end autonomous SDR workflow (prospecting, enrichment, personalization, sequencing, and meeting booking) without requiring human operators to manage campaigns or write templates, freeing sales teams to focus on closing deals rather than top-of-funnel activities.
- ✓Two coordinated digital workers (Alice for written outbound, Julian for voice) cover both email/LinkedIn and phone channels under one platform, eliminating the need to stitch together separate tools for multi-channel prospecting and reducing vendor sprawl.
- ✓Marketed cost savings of roughly 50% versus a human SDR team make the ROI case clear for enterprise buyers — Alice costs approximately $50,000–$60,000 annually compared to $100,000+ for a fully loaded human SDR including salary, benefits, tools, and management overhead.
- ✓Built-in access to a large prospect database of over 200 million contacts eliminates the need for separate data providers like ZoomInfo or Lusha, reducing total stack cost and simplifying the workflow from prospect identification to outreach execution.
- ✓Enterprise-grade positioning with offices in San Francisco and London, CRM integrations with Salesforce and HubSpot, SOC 2 Type II compliance, and GDPR-compliant data processing gives procurement and security teams confidence during vendor evaluation and approval.
- ✓24/7 execution with continuous learning loops means campaigns optimize without manual A/B testing — Alice analyzes engagement data across all outreach to improve subject lines, messaging, and send timing automatically, compounding performance gains over time.
Cons
- ✗Enterprise-only annual pricing with no public self-serve tier shuts out SMBs, startups, and individual sales professionals who cannot commit $50,000+ annually or navigate a multi-week enterprise sales process just to evaluate the product.
- ✗AI-generated outbound at scale carries real deliverability and brand-reputation risk if email warm-up, domain rotation, and content quality are not carefully managed — some users report initial spam folder placement and inconsistent email quality across prospect segments.
- ✗Heavy reliance on automated outreach can trigger LinkedIn rate limits, account restrictions, or platform bans if volume thresholds are exceeded, particularly for users whose LinkedIn accounts lack established activity histories or connection networks.
- ✗The 'replace your SDR team' positioning has drawn public criticism from some early customers on Reddit and review sites who experienced underwhelming results, with complaints including poorly targeted prospects, generic-sounding personalization, and difficulty canceling annual contracts.
- ✗Limited transparency on pricing, contract minimums, and ramp expectations without going through a full sales process makes comparison shopping difficult and has eroded trust among prospects who feel pressured into commitments before fully understanding total cost of ownership.
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