Devin icon

Devin

★★★★ 4
VS

Relevance AI

★★★★ 4.2
Feature Devin Relevance AI
Pricing From $20/mo Free / from $199/mo
Free Plan ✗ No ✓ Yes
Rating 4 / 5 4.2 / 5
Best For engineering-teams, enterprise-developers, code-maintenance, automated-testing operations-teams, sales-teams, agencies, business-analysts
Founded 2024 2020
Autonomous Coding
Planning
Debugging
Deployment
Code Review
Testing
Slack Integration
Agent Builder
Tool Steps
Knowledge Base
Scheduling
Integrations
Analytics

✓ Devin Pros

  • Truly autonomous (handles multi-step engineering tasks)
  • Own environment with terminal, browser, and code editor
  • Can learn from documentation and unfamiliar codebases
  • Handles real GitHub issues and PRs independently

✗ Devin Cons

  • No free tier
  • ACU costs add up on complex tasks
  • Output quality varies by task complexity
  • Team plan expensive at $500/month

✓ Relevance AI Pros

  • No-code agent builder
  • Pre-built agent templates
  • Multi-step tool chains
  • Team management for AI agents

✗ Relevance AI Cons

  • Expensive for heavy usage
  • Complex agents need iteration
  • Limited LLM provider choices

The Verdict

Devin is built for engineering teams and enterprise developers, with a focus on autonomous-coding and planning. Relevance AI targets operations teams and sales teams and leads with agent-builder and tool-steps.

On pricing, Devin is the clear winner for budget-conscious users — starting at $20/mo compared to $199/mo for Relevance AI. That $179/mo difference adds up quickly for growing teams.

Relevance AI has a free plan, which gives it a meaningful edge for individuals and small teams exploring their options. Devin requires a paid subscription from day one.

Feature-wise, Devin offers broader built-in capabilities (7 features vs 6), while Relevance AI takes a more focused approach — which can mean a simpler, faster onboarding experience.

This is a genuinely close comparison. If you can, sign up for both free trials (where available) and run a one-week test with your actual team tasks before deciding.

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