Agentic Index
ElevenLabs Conversational AI vs Gnani.ai (2026)
Both build on their own speech models, and they sell to opposite ends of the market.
ElevenLabs is developer first and self serve, with WebRTC tool calling, stateful conversations and evaluation support, free for fifteen agent minutes a month then from 6 dollars up to 990 for Business with 8 cents a minute overage. Gnani is enterprise only, foundational speech models under agents running production workflows, quoted by usage and interaction volume, documenting 11.5 of 14 against 10. Start on ElevenLabs today, or start a procurement conversation with Gnani.
Choose ElevenLabs Conversational AI if
- You want to build today: published pricing, a free tier and APIs your developers can start on this afternoon.
- Developer ergonomics matter, including WebRTC tool calling and evaluation support.
- Per minute overage pricing lets you scale without renegotiating.
Choose Gnani.ai if
- You are deploying production workflows at enterprise volume where per minute pricing stops making sense.
- Documented coverage is broader, which matters when the agent runs a real business process.
- Foundational speech models with multilingual enterprise deployment are the requirement.
| At a glance | ElevenLabs Conversational AI | Gnani.ai |
|---|---|---|
| Category | Customer support agent | Voice agent |
| Entry price | Free tier (15 agent minutes/mo); paid from $6/mo Starter up to $990/mo Business; overage $0.08/min; Enterprise custom | Not public; enterprise sales, typically priced by usage and interaction volume, with model APIs available |
| Free / trial | Free tier: 15 agent minutes/mo, 4 concurrent calls, no commercial license | Model APIs available to try, enterprise deployments through sales; no public self serve pricing |
| Pricing confidence | public exact | contact only |
| Feature | E ElevenLabs Conversational AI |
G Gnani.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 | Full / Explicit |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
Full / Explicit | Partial |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
Partial | Full / Explicit |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Partial | 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 | Full / Explicit |
| 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 | Partial |
|
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. |
Full / Explicit | Partial |
| 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 | E ElevenLabs Conversational AI |
G Gnani.ai |
|---|---|---|
|
Entry price Lowest public entry point |
Free tier (15 agent minutes/mo); paid from $6/mo Starter up to $990/mo Business; overage $0.08/min; Enterprise custom | Not public; enterprise sales, typically priced by usage and interaction volume, with model APIs available |
|
Pricing confidence How public the numbers are |
Public — exact | Contact only |
|
Billing Primary billing axis |
hybrid (subscription tiers with included agent minutes, then per minute overage) | interaction volume and usage |
|
Variable cost Workload / overage exposure |
High variable cost | High variable cost |
|
Free tier / trial Try before you buy |
Free tierTrial
|
No free tierTrial
|
|
Buying motion Self-serve vs sales call |
Mixed | Sales call |