Cosine Genie vs Devin

Detailed side-by-side comparison to help you choose the right tool

Cosine Genie

🔴Developer

AI Coding

Autonomous AI software engineer trained on real engineering trajectories — "the copilot era is over."

Was this helpful?

Starting Price

Custom
Full ReviewVisit Site

Devin

🔴Developer

AI Coding

Devin is an autonomous AI software engineer by Cognition that plans, executes, and reports on complex engineering tasks without constant human input.

Was this helpful?

Starting Price

$500/mo
Full ReviewVisit Site

Feature Comparison

Scroll horizontally to compare details.

FeatureCosine GenieDevin
CategoryAI CodingAI Coding
Pricing Plans6 tiers122 tiers
Starting Price$500/mo
Key Features
    • • Cloud AI software engineering agent
    • • Plans, codes, tests, and opens pull requests
    • • Parallel task execution for migrations and refactors

    Cosine Genie - Pros & Cons

    Pros

    • ✓Genuine async workflow — file a ticket, get a PR, review in your normal flow
    • ✓On-prem option clears regulated-environment procurement
    • ✓Lumen models tuned for engineering tasks, not generic chat
    • ✓Slack/issue-tracker triggers make integration with existing workflows easy
    • ✓Strong SWE-bench Verified credibility from launch onward

    Cons

    • ✗Team-tier pricing is steep relative to in-editor copilots
    • ✗Like all autonomous agents, quality drops on ambiguous tickets or messy codebases
    • ✗Younger / smaller vendor than GitHub or Cursor — vendor risk for the cautious
    • ✗Sandboxed-cloud per-task model can make latency unpredictable
    • ✗Best gains require teams to invest in clearer ticket hygiene

    Devin - Pros & Cons

    Pros

    • ✓Genuinely autonomous — handles multi-step tasks without constant prompting
    • ✓Parallel agents allow multiple tasks to run simultaneously
    • ✓Documented enterprise case studies with real efficiency numbers (12x at Nubank)
    • ✓Core plan entry price dropped from $500 to $20 in 2026, much more accessible
    • ✓Works inside existing GitHub/Slack/CI workflows
    • ✓Can tackle migrations and test generation at scale that would be prohibitively manual

    Cons

    • ✗ACU costs add up fast on longer tasks — real monthly spend can reach $300-500
    • ✗Struggles with ambiguous or architecture-level tasks that require deep context
    • ✗Output still needs human review before merging PRs
    • ✗Not an in-editor experience — separate from Cursor, VS Code workflows
    • ✗Requires clear task specifications to produce good output
    • ✗Enterprise features (VPC, SSO) only available at custom pricing tiers

    Not sure which to pick?

    🎯 Take our quiz →

    🔒 Security & Compliance Comparison

    Scroll horizontally to compare details.

    Security FeatureCosine GenieDevin
    SOC2—✅ Yes
    GDPR——
    HIPAA——
    SSO—✅ Yes
    Self-Hosted—❌ No
    On-Prem—❌ No
    RBAC—✅ Yes
    Audit Log——
    Open Source—❌ No
    API Key Auth—✅ Yes
    Encryption at Rest—✅ Yes
    Encryption in Transit—✅ Yes
    Data Residency——
    Data Retention——
    🦞

    New to AI tools?

    Read practical guides for choosing and using AI tools

    Read Guides →
    🔔

    Price Drop Alerts

    Get notified when AI tools lower their prices

    Tracking 2 tools

    We only email when prices actually change. No spam, ever.

    Get weekly AI agent tool insights

    Comparisons, new tool launches, and expert recommendations delivered to your inbox.

    No spam. Unsubscribe anytime.

    Ready to Choose?

    Read the full reviews to make an informed decision

    Review Cosine GenieReview Devin