Retell vs Vapi vs Bland: Voice AI Agents April 2026
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
| Platform | Entry tier | Per-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)
| Platform | Voice-to-voice p50 | p95 | Under 800ms? |
|---|---|---|---|
| Retell AI | 600ms | 850ms | ✅ mostly |
| Vapi (optimized stack) | 700ms | 1,100ms | ⚠️ sometimes |
| Bland AI | 850ms | 1,200ms | ❌ usually not |
| Human baseline | ~250ms | 400ms | — |
Under 800ms voice-to-voice is the threshold where calls feel “human.” Above ~1,000ms listeners start to notice pauses.
Model and TTS availability
| Capability | Retell | Vapi | Bland |
|---|---|---|---|
| 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.