Which is better, Vapi or Relevance AI?

Vapi suits users who value proven at serious scale — vapi reports 1b+ calls handled and 99.9% uptime for enterprise customers, while Relevance AI is preferred when no-code/low-code builder with multi-model routing (claude, gpt, gemini) instead of vendor lock-in matter most. Pick based on your primary workflow.

Is Vapi or Relevance AI cheaper?

Vapi is paid, Relevance AI is freemium. Check each official site for current tiers.

Vapi vs Relevance AI

A side-by-side look at Vapi and Relevance AI — pricing, features and where each one wins. Both are reviewed independently on Curata AI.

	Vapi	Relevance AI
Summary	Enterprise-grade voice AI platform for building, testing and deploying AI phone agents with sub-500ms latency at scale.	Enterprise platform for building, orchestrating and governing an 'AI workforce' of autonomous agents across sales, support, marketing and ops.
Pricing	Paid	Freemium
Category	Voice	Automation
Platforms	Web, API	Web, API
Key features	Voice AI agent builder (voice, LLM and STT/TTS configuration) Sub-500ms latency real-time voice pipeline Bring-your-own or platform-billed STT/LLM/TTS providers Native US phone numbers plus Twilio/Telnyx/Vonage SIP integration Real-time call monitoring and post-call analytics Webhooks, function calling and tool integrations Enterprise compliance: SOC 2, HIPAA, PCI DSS, SSO, RBAC	No-code/low-code agent builder Multi-model routing (Claude, GPT, Gemini and others) by cost/performance Multi-agent orchestration into coordinated workforces Evaluation framework tracking live pass rates and drift Real-time tracing, audit logs, human-in-the-loop approvals and cost visibility 2,000+ integrations (Salesforce, HubSpot, Gmail, Slack, Databricks, Snowflake)
Pros	Proven at serious scale — Vapi reports 1B+ calls handled and 99.9% uptime for enterprise customers Bring-your-own-provider flexibility avoids lock-in to a single STT/LLM/TTS vendor Deep telephony integrations (Twilio, Telnyx, Vonage) plus free native US phone numbers No long-term contract required on the self-serve Build plan Strong enterprise trust signals — customers include Amazon Ring, Intuit, ServiceTitan and New York Life	No-code/low-code builder with multi-model routing (Claude, GPT, Gemini) instead of vendor lock-in Genuine free tier (200 Actions/month) — rare among enterprise-grade agent platforms Real production governance: tracing, audit logs, human-in-the-loop approval and cost visibility 2,000+ integrations cover most existing sales, CS and ops stacks Enterprise trust signals — customers include Canva, KPMG, Databricks, Autodesk and Confluent
Cons	The advertised $0.05/min rate is only the Vapi platform fee — real all-in cost with STT+LLM+TTS+telephony typically lands around $0.30+/min No self-service cancellation — removing a payment method or closing an account requires emailing support or posting on Discord Marketed as accessible, but building a production-grade agent still requires real engineering effort International phone numbers are not free and cost more than US numbers Independent reviews report sparse documentation and slow support response on the self-serve tier	September 2025 pricing overhaul split billing into Actions + Vendor Credits, which reviewers say makes real cost harder to predict at scale Action overages and retry billing have caught some teams off guard on their first high-volume billing cycle Shared workspace model makes credential isolation difficult for agencies managing multiple client environments Some users report slow or impersonal customer support response times Real learning curve to build and maintain reliable multi-step agents

Read the full Vapi review

Vapi is a developer-first voice AI platform for building, testing and deploying AI phone agents in production. Agents are assembled from a voice, an LLM, and a speech-to-text engine — Vapi supports bringing your own provider API keys or paying providers at cost through the platform — wired into a real-time pipeline built for sub-500ms latency and enterprise call volume. It ships native US phone numbers plus SIP/telephony integration with Twilio, Telnyx and Vonage, real-time call monitoring and post-call analytics, webhooks and function calling for connecting agents to external tools, and AI guardrails to reduce hallucinations. Vapi reports handling over 1 billion calls with 99.9% uptime for enterprise customers, 2.5M+ agents launched and 750K+ developers on the platform, with customers including Amazon Ring, Intuit, ServiceTitan and New York Life. The self-serve Build plan is usage-based with no monthly minimum; the Scale plan is a custom annual contract for enterprises needing committed volume, SOC 2/HIPAA/PCI compliance, SSO, RBAC and a dedicated account team.

Vapi review →Vapi alternatives →

Read the full Relevance AI review

Relevance AI markets itself as 'the home of the AI Workforce' — a platform for building autonomous AI agents that handle work across sales, customer success, marketing, customer support, operations, HR and research, rather than hiring additional headcount. A no-code/low-code builder creates specialist agents, multi-model routing sends each task to the most cost-effective LLM (Claude, GPT, Gemini and others), and orchestration coordinates multiple agents into a team for complex workflows. Production tooling includes an evaluation framework that samples live runs and tracks pass rates, real-time tracing, audit logs, human-in-the-loop approvals and cost visibility, plus a shared context layer for consistent tone across agents. It connects to 2,000+ integrations including Salesforce, HubSpot, Gmail, Slack, Databricks and Snowflake. A September 2025 pricing overhaul replaced a single credit system with two meters — Actions and Vendor Credits — across a Free plan (200 Actions/month), Pro ($29/month), Team ($349/month) and a custom Enterprise tier. Notable customers include Canva, KPMG, Databricks, Autodesk, Confluent and Freshworks.

Relevance AI review →Relevance AI alternatives →