Agentic Index

Retell AI vs Vapi (2026)

Retell AI and Vapi are the closest head to head in developer voice agents, both unbundled and pay as you go: Retell charges no platform fee with a voice engine at seven to eight cents a minute plus LLM and telephony billed separately (all in commonly thirteen to thirty one cents, enterprise volume near five cents), while Vapi charges a five cent per minute platform fee with every component at provider passthrough (about 8 to 13 cents a minute all in at its default providers, by Vapi's own calculator), plus a paid HIPAA add on, with zero data retention included in any success package. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.

The decision usually comes down to API ergonomics, latency in your region, and which compliance packaging fits.

This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Retell AI and Vapi are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 955 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded

Choose Retell AI if

  • Twenty free concurrent calls and ten dollars in credits make evaluation friction free.
  • Bundled voice engine pricing with separate LLM choice balances simplicity and control.
  • Enterprise rates near five cents a minute with HIPAA and BAA fit your scale plans.

Choose Vapi if

  • Full provider passthrough on every layer gives maximum stack transparency.
  • You want the largest ecosystem of integrations and community examples.
  • Committed volume enterprise contracts match your procurement style.
Feature
R
Retell AI
V
Vapi
Action & orchestration

Integrations & Tool Calling

Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools.

Workflow Orchestration

Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps.

Triggers & Channel Coverage

How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools.

Knowledge & context

Knowledge Grounding & RAG

Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers.

Memory & State Persistence

Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer.

Control & trust

Human Oversight & Guardrails

Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls.

Security, Identity & Governance

RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy.

Observability & Auditability

Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior.

Deployment & Data Residency

Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting.

Solution readiness

Prebuilt Agents, Templates & Packs

Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value.

Platform extensibility

Model Flexibility & Routing

Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys.

APIs, SDKs & MCP Extensibility

Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems.

Testing, Debugging & Optimization

Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment.

Specialist automation

Browser & Computer Use

Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone.

Pricing snapshot

Sourced from the Index pricing dataset · open each vendor's profile for full detail.

Pricing
R
Retell AI
V
Vapi

Entry price

Lowest public entry point

Pay as you go from $0 with $10 in free credits, then $0.07 to $0.31 a minute for voice agents. Voice infrastructure is $0.055 a minute, with the voice, LLM and telephony billed separately on top. Enterprise is custom. $0.05 a minute hosting fee plus provider costs, usage based. Success packages from $29 a month.

Pricing confidence

How public the numbers are

Public, partial Public, exact

Billing

Primary billing axis

Usage, billed per connected minute across separately priced components for voice infrastructure, the voice, the LLM and telephony. Usage, billed per call minute and prepaid.

Variable cost

Workload / overage exposure

High variable cost High variable cost

Free tier / trial

Try before you buy

Free tierTrial
Free tierTrial

Buying motion

Self-serve vs sales call

Mixed Mixed

Other matchups in voice agents

Not the pairing you were after? These compare a different set of voice agents on the same 14 capabilities.

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