Agentic Index
Bland AI vs Retell AI (2026)
Bland AI and Retell AI are the most cross shopped developer voice platforms, and the pricing philosophy is the real difference: Bland charges one all inclusive per minute rate (free Start tier at fourteen cents a minute, Build at 299 dollars a month for twelve cents, Scale at 499 dollars for eleven cents, enterprise near nine cents), bundling model, speech, and telephony, while Retell unbundles with no platform fee, a voice engine at seven to eight cents a minute plus your choice of LLM and telephony, commonly landing thirteen to thirty one cents all in. Choose Bland for predictable bundled economics, Retell for stack control and the ability to optimize each component.
| At a glance | Bland AI | Retell AI |
|---|---|---|
| Category | Customer support agent | Customer support agent |
| Entry price | Free Start tier; Build $299/mo and Scale $499/mo unlock lower per minute rates; Enterprise custom | Pay as you go from $0 ($10 free credits); voice engine $0.07 to $0.08/min plus LLM and telephony billed separately; Enterprise custom |
| Free / trial | Free Start tier: 100 calls/day, up to 10 concurrent, $0.14/min | $10 in free credits and 20 concurrent calls to build and test, no card |
| Pricing confidence | public partial | public partial |
| Feature |
B
Bland AI
|
|
|---|---|---|
| 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. |
Full / Explicit | Full / Explicit |
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
Full / Explicit | Full / Explicit |
|
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. |
Full / Explicit | Full / Explicit |
| 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. |
Partial | Partial |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
Partial | Partial |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
Full / Explicit | Partial |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Full / Explicit | Full / Explicit |
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
Full / Explicit | Full / Explicit |
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
Partial | Partial |
| Solution readiness | ||
|
Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
Partial | Full / Explicit |
| 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. |
Partial | Full / Explicit |
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
Full / Explicit | Full / Explicit |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
Partial | Full / Explicit |
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
No / Not documented | No / Not documented |
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing |
B
Bland AI
|
|
|---|---|---|
|
Entry price Lowest public entry point |
Free Start tier; Build $299/mo and Scale $499/mo unlock lower per minute rates; Enterprise custom | Pay as you go from $0 ($10 free credits); voice engine $0.07 to $0.08/min plus LLM and telephony billed separately; Enterprise custom |
|
Pricing confidence How public the numbers are |
Public — partial | Public — partial |
|
Billing Primary billing axis |
hybrid (plan tier sets the per minute rate, then per connected minute usage) | usage (per minute across voice engine, LLM, and telephony components) |
|
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 |
Choose Bland AI if
- One all inclusive per minute rate simplifies forecasting and vendor management.
- You would rather not assemble and operate an LLM and telephony stack.
- Volume pricing tiers map cleanly to your call growth.
Choose Retell AI if
- Choosing your own LLM and telephony gives you quality and cost leverage.
- No platform fee and transparent unit costs fit an engineering led evaluation.
- Enterprise volume rates near five cents a minute reward scale.