AI Tool Comparison

Comparing as AI Pair Programming & Terminal Agents
Factory vs Devin

Compare features, pricing, pros & cons, and user ratings to decide which AI tool is best for your needs.

Factory

Factory

VS
Devin

Devin

Verdict by Category

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Detailed Comparison

Feature
Factory
Devin
Pricing
FreemiumFactory offers five tiers. Pro is $20/month for individuals, including desktop, CLI, and SDK access, cloud and local background agents, and a billing/usage dashboard. Plus is $100/month with roughly 5x the usage of Pro plus Droid Computers, Factory-managed cloud computers for remote Droids. Max is $200/month with roughly 10x the usage of Pro and early access to new features. Business is custom-priced for growing teams up to 150 seats, adding custom usage limits, dedicated onboarding, SSO, SAML/SCIM provisioning, Zero Data Retention, audit logging, and basic admin controls. Enterprise is custom-priced with unlimited team members, dedicated compute with a partitioned inference pool, an Agent-readiness Improvement Program, on-premise deployment, sub-organizations, full admin controls, customer-managed encryption keys, data residency, and a dedicated account manager with SLA-backed support.
FreemiumDevin's Free plan costs $0/month with a light quota to code with agents, limited model availability, and unlimited inline edits and Tab completions. Pro costs $20/month and adds increased quotas, access to OpenAI, Claude, and Gemini frontier models, free use of SWE 1.7 and leading open-source models, Devin Cloud access, and the ability to purchase extra usage at API pricing. Max costs $200/month with everything in Pro plus significantly higher usage quotas for power users. Teams costs $80/month as a base team fee plus $40/month per full developer seat, and includes unlimited team members via flex seats, sharing and collaboration, centralized billing, an admin dashboard with analytics, and priority support. Enterprise is custom-priced ("let's talk") and adds highest-priority support, dedicated account management, SAML/OIDC SSO, centralized enterprise admin controls, and dedicated VPC deployment options. Usage allowances refresh daily and weekly, and extra usage beyond included quotas is billed at API pricing.
Categories
AI Coding Assistants
AI Coding Assistants
Summary
Autonomous Droid agents that build, test, and ship software
Autonomous AI software engineer that plans, codes, and ships end-to-end
Factory

Factory Pros & Cons

Pros

  • Droids execute full tasks (editing files, running commands, opening PRs) rather than just suggesting code
  • Genuinely model-agnostic and interface-agnostic, avoiding lock-in to one IDE or LLM provider
  • #1 ranking on Terminal Bench, a widely used industry benchmark for coding agents
  • Sovereign deployment options including on-premise and air-gapped environments for regulated industries
  • Strong enterprise traction with named customers like Nvidia, Adobe, EY, and Morgan Stanley

Cons

  • Best suited to teams with a real backlog of well-specified work and enough review capacity to absorb the resulting pull requests
  • Not ideal for solo developers wanting lightweight autocomplete, or teams whose work is mostly ambiguous product design
  • Business and Enterprise pricing is fully custom, requiring a sales conversation rather than transparent self-serve rates
  • Heavy multi-agent or long-context usage can run up consumption costs quickly on usage-based components
  • As a younger platform (founded 2023), its track record is shorter than more established coding agent competitors
Devin

Devin Pros & Cons

Pros

  • Handles full engineering workflows end-to-end, not just inline suggestions
  • Fleet-based parallel agents can tackle large-scale migrations across many repos
  • Deep integrations with GitHub, Linear, Jira, Slack, and Teams for real dev workflows
  • Free tier available to try core agent capabilities with no cost
  • Documented enterprise results, including major efficiency and cost gains at Nubank
  • VPC deployment and SSO support enterprise security requirements

Cons

  • Early benchmark and demo claims were criticized as overstated, so results should be evaluated against a team's own workflows
  • Best suited to well-scoped, reviewable tasks rather than fully unsupervised production work
  • Usage-based cost can climb quickly for teams running many parallel sessions
  • Full model availability and cloud agents require the $20/month Pro plan or higher
  • Quality of output still requires human review, especially on complex or ambiguous tasks