Factory AI vs Devin
Comprehensive side-by-side comparison — features, pricing, performance, and more.
Trust & Reliability
Devin
Too Close to Call
Devin (7.2) vs Factory AI (6.8) — difference of 0.3 points
Scores are AI-estimated from publicly available data — not an independent test or a verified user rating. How we rank →
Factory AI
6.8
avg score
Devin
7.2
avg score
Both tools score very similarly overall — the best choice depends on your specific priorities.
Scores are AI-estimated from publicly available data — not an independent test or a verified user rating. How we rank →
Too close to call — it's a tie
Factory AI
Devin
* Verdict is based on our algorithmic scoring of publicly available data. Learn about our methodology
Factory AI is best for
Devin is best for
Filter by your use case:
Pros & Cons
Factory AIPros
- Accelerates feature development and project delivery significantly (e.g., 7x faster feature delivery, 18x faster project delivery)
- Reduces incident response times and context-switching time (e.g., 40% reduced incident response, 60% reduction in context-switching)
- Offers robust security and compliance features including SOC 2, ISO 42001, GDPR, CCPA, and single-tenant VPC hosting
- Supports a wide range of frontier and open-weight models, including custom BYOK models
- Provides flexible deployment options including cloud and on-premise for data residency and control
Cons
- SOC 2 certification is currently Type I, not Type II
- Requires explicit human approval for agent-proposed commands before execution
- Data retention policy for some Anthropic Mythos-class models is 30 days, requiring admin opt-in
- Pricing for Business and Enterprise tiers requires contacting sales, lacking transparency
- The platform is primarily developer-focused, potentially requiring technical expertise for full utilization
DevinPros
- Capable of handling multi-week, multi-repo projects autonomously
- Learns from codebase and past session trajectories for continuous improvement
- Integrates with a wide range of developer tools and communication platforms
- Supports parallel execution of tasks with a team of Devins
- Offers enterprise-grade security features like VPC deployment and audit logs
Cons
- Requires Python 3.10+ for local use (inferred from typical dev tools)
- Usage quotas apply to paid plans, with extra usage at API pricing
- No explicit mention of support for non-coding tasks
- No visual builder or low-code option for non-developers
- Limited model availability on the free plan
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Dimension Comparison
Factory AI
6.8
/ 10
Devin
7.2
/ 10
Dimension Breakdown
Ease of Use
AIHow intuitive is onboarding, UI navigation, and day-to-day usage for the target audience?
Output Quality
AIHow accurate, reliable, and useful are the outputs this product generates?
Value for Money
AIHow well does the pricing match the features and output quality delivered?
Customization
CalculatedHow much can users tailor workflows, settings, prompts, or outputs to their needs?
Support
AIHow strong is the documentation, customer support, community, and learning resources?
Integration
CalculatedHow well does it connect with other tools, APIs, and workflows?
Accuracy & Reliability
AIFactual accuracy and hallucination resistance
Compliance & Data Protection
CalculatedCompliance certifications and data-protection posture, aggregated from verified compliance signals
Performance
CalculatedLatency + throughput speed
Task Completion
AIEnd-to-end task success rate
Tool Use Correctness
AIPicks the correct tool + correct arguments
Planning Quality
CalculatedMulti-step planning depth + replanning capability
Calculated = derived from structured signals (integration count, API/open-source config, compliance certs, response-time). AI = LLM-assessed from public website content. Methodology
Task Performance
Factory AI
Task
Devin
* Task scores (1–10) are algorithmically generated from publicly available data.