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Retell vs Vapi vs Bland: Voice AI Agents April 2026

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Retell vs Vapi vs Bland (April 2026)

Voice AI hit its “ChatGPT moment” in late 2025. GPT-5.4 Voice, Gemini Live 2.0, and sub-second speech-to-speech stacks made AI phone agents indistinguishable from humans in ~60% of calls. Three platforms dominate the developer market in April 2026: Retell AI, Vapi, and Bland AI. Here’s how they actually compare when you deploy to production.

Last verified: April 23, 2026

TL;DR pricing

PlatformEntry tierPer-minute (all-in)Minimum to deploy
Retell AI$0/mo + usage$0.07/min$0 + a Twilio number
Vapi$0/mo + usage$0.18–0.33/min$0 + separate STT/LLM/TTS
Bland AI$499/mo (Scale)$0.11/min + $499/mo$499/mo

At 40,000 minutes/month:

  • Retell = $2,800/mo
  • Vapi ≈ $7,200–13,200/mo (stack-dependent)
  • Bland = $4,899/mo

1. Retell AI — best transparent pricing + lowest latency

Retell AI hit ~600ms voice-to-voice latency in Q1 2026 and kept its all-in price at $0.07/minute — no separate STT/LLM/TTS billing. That makes it the cheapest serious option and the most predictable for finance teams.

What’s included at $0.07/min:

  • Speech-to-text (Deepgram Nova 3 or Whisper v4)
  • LLM call (GPT-5.4 mini, Claude Sonnet 4.6, or Gemini 2.5 Flash)
  • Text-to-speech (ElevenLabs Flash v3 or Cartesia Sonic)
  • Telephony egress
  • No hidden rails

Why Retell wins:

  • SOC 2 Type II, HIPAA, GDPR. Regulated industries can deploy same-day.
  • No-code agent builder + full API. Prototype in 10 min, production in a week.
  • Native outbound campaigns. Upload a CSV, trigger 10K calls, track outcomes.
  • Latency bench. ~600ms is under the 800ms natural-conversation threshold.

Trade-offs:

  • Less customizable than Vapi for exotic stack combos.
  • Limited LLM selection — curated list, not “any model.”
  • Some industries (auto, legal) need custom prompts that Retell’s templates don’t cover.

Best for: Startups and mid-market companies that want production voice agents without managing a 4-provider stack.

2. Vapi — best for developer control

Vapi is the “LEGO blocks” of voice AI. You pick your STT (Deepgram/AssemblyAI/Whisper), LLM (any OpenAI/Anthropic/Google/xAI/local), and TTS (ElevenLabs/PlayHT/Cartesia/Google), and Vapi orchestrates it.

Why Vapi wins:

  • Maximum model flexibility — use Claude Opus 4.7 for your agent brain, Llama 5 local for cheaper calls, or GPT-5.4 Voice-to-Voice for one-shot speech-to-speech.
  • Best for custom routing. Need to transfer to a human, fork to SMS, or escalate to another agent? Vapi’s pipeline handles it.
  • Solid docs + SDKs for Node, Python, Go, and mobile.

Trade-offs:

  • Hidden costs. The “$0.05/min platform fee” is just Vapi’s cut. Add STT ($0.05–0.09), LLM ($0.05–0.15), TTS ($0.05–0.08), telephony ($0.01–0.02). Real cost is $0.18–0.33/min.
  • You’re the integrator. If Deepgram has an outage, you notice. Retell abstracts this away.
  • Test tooling is weak — you’ll build your own QA harness.

Best for: Teams with ML/backend engineers who want custom stacks and can eat the ops overhead.

3. Bland AI — best for regulated + complex pathing

Bland is the oldest of the three and has the deepest call-flow tooling. It’s expensive and pitched at enterprise call centers.

Why Bland wins:

  • Conversation Pathing is still best-in-class for multi-branch scripts (insurance intake, healthcare follow-ups, debt collection).
  • Custom model hosting — enterprises can deploy Llama 5 on Bland’s infrastructure, giving a compliance-friendly “fully on Bland” story.
  • Analytics and QA dashboard are the most mature.
  • 99.99% uptime SLA available at enterprise tier.

Trade-offs:

  • $499/mo Scale floor plus $0.11/min is steep for anything under 10K minutes/month.
  • Slower latency (~850ms typical) makes it noticeable on premium consumer-facing calls.
  • Enterprise sales motion — expect a 2–6 week procurement cycle.

Best for: Call centers >$1M voice spend, regulated industries (healthcare, lending, insurance), and teams that need custom Conversation Pathing over simple scripts.

Latency comparison (April 2026 benchmarks)

PlatformVoice-to-voice p50p95Under 800ms?
Retell AI600ms850ms✅ mostly
Vapi (optimized stack)700ms1,100ms⚠️ sometimes
Bland AI850ms1,200ms❌ usually not
Human baseline~250ms400ms

Under 800ms voice-to-voice is the threshold where calls feel “human.” Above ~1,000ms listeners start to notice pauses.

Model and TTS availability

CapabilityRetellVapiBland
GPT-5.4 mini
Claude Sonnet 4.6✅ (enterprise)
Gemini 2.5 Flash
Llama 5 local✅ (enterprise)
ElevenLabs Flash v3
Cartesia Sonic
PlayHT Play 3.0
GPT-5.4 Voice-to-Voice✅ (beta)

Which one should you deploy today?

  • “I want cheap, fast, production-ready in a week”: Retell AI.
  • “I need full control of every layer”: Vapi.
  • “I run a call center and need custom Conversation Pathing”: Bland AI.
  • “I’m prototyping a consumer app”: Start with Retell, migrate to Vapi if you outgrow it.
  • “I’m a solo founder”: Retell’s $0/mo base + $0.07/min is the lowest-floor path.

A note on GPT-5.4 Voice-to-Voice

OpenAI’s speech-to-speech API (the engine behind ChatGPT Voice Mode) is now available to third parties as of March 2026. Vapi supports it in beta; Retell and Bland still use separate STT+LLM+TTS pipelines. For production in April 2026, the separate-pipeline approach is still more reliable — the s2s API hallucinates more under interruption.


Last verified: April 23, 2026. Pricing from vendor docs. Latency figures from published benchmarks and community reports.