Devin vs Factory
Compare Devin and Factory by workflow, pricing, privacy, model support, and best use cases.
Devin
Choose Devin when the goal is to delegate well-scoped engineering work to autonomous cloud agents and review resulting pull requests, tests, and artifacts later. Choose a local AI IDE or CLI agent when the task requires tight interactive control, cheaper short edits, local model support, or provider-neutral model routing.
Factory
Factory is a strong choice for teams that want AI agents embedded across their actual engineering workflow rather than confined to one editor. It is less suitable for users who want a free open-source local agent, simple autocomplete, or a visual app builder.
Key Differences
Workflow
Devin is an autonomous AI software engineer for delegating real engineering tasks to cloud and desktop agents that work across repositories, tickets, pull requests, shells, browsers, and team tools.
Factory is an agent-native software development platform for delegating coding, review, automation, and engineering workflow tasks to AI Droids across local, cloud, IDE, terminal, and team surfaces.
compare.fields.editorBase
Standalone
CLI
Pricing
freemium
paid
BYOK
No
Yes
Feature Comparison
| Feature | Devin | Factory |
|---|---|---|
| Primary workflow | Devin is an autonomous AI software engineer for delegating real engineering tasks to cloud and desktop agents that work across repositories, tickets, pull requests, shells, browsers, and team tools. | Factory is an agent-native software development platform for delegating coding, review, automation, and engineering workflow tasks to AI Droids across local, cloud, IDE, terminal, and team surfaces. |
| Type | code-assistant | code-assistant |
| Editor base | Standalone | CLI |
| Pricing model | freemium | paid |
| Starting price | $0 | $20 |
| Free plan | Yes | No |
| Open source | No | No |
| Local models | No | No |
| BYOK | No | Yes |
| Platforms | Web app, Devin Cloud, Devin Desktop, Devin CLI, Devin API, GitHub, GitLab, Bitbucket, Linear, Jira, Slack, Microsoft Teams, Dedicated enterprise deployment, VPC-connected enterprise environments | macOS, Linux, Windows, CLI, Factory App, VS Code, JetBrains IDEs, Zed, Vim, GitHub, GitHub Actions, Slack, Microsoft Teams, Jira, Linear, Notion, MCP, CI/CD |
| Models | SWE 1.6, OpenAI, Claude, Gemini, leading open source models | Claude Opus, Claude Sonnet, Claude Haiku, GPT-5.5, GPT-5.4, GPT-5.3 Codex, GPT-5.2, Gemini 3.1 Pro, Gemini 3.5 Flash, Gemini 3 Flash, GLM, Nemotron, Kimi, DeepSeek, MiniMax, Droid Core, Custom models |
| Enterprise features | Enterprise plan, Dedicated deployment option, Customer-isolated environment, AWS PrivateLink support, IPSec tunnel support, SAML SSO, OIDC SSO, RBAC, IdP group integration, Centralized enterprise admin controls, Teamspace isolation, Dedicated account management, Dedicated account and engineering support, Custom terms, Enterprise billing through Agent Compute Units, GitHub Enterprise Server support through private networking, GitLab and Bitbucket private infrastructure support, Artifactory and Nexus private infrastructure support, Trust Center security documentation | Teams plan for up to 150 seats, Custom usage limits, Dedicated onboarding and support, SSO, SAML and SCIM provisioning, Zero Data Retention, Model selection controls, Autonomy-level controls, Model access controls, Organization-level deny lists, Droid Exec for headless automation, OTEL-native telemetry, Optional Factory cloud analytics, MCP integrations, Custom Droids and subagents, Plugins and hooks |
| Best for | Engineering teams with large backlogs, Parallel task delegation, Bug reproduction and fixing, Feature implementation drafts, Code migrations, Framework upgrades, Monorepo refactors, Unit test generation, Documentation maintenance, PR review workflows, Internal tool building, Customer engineering support, Teams that want background agents producing reviewable pull requests | Engineering teams that want to delegate implementation, review, testing, and automation tasks to agents, Developers who prefer terminal-first agent workflows without switching IDEs, Teams using Jira, Linear, Slack, GitHub, and CI/CD as the center of engineering work, Organizations that need model controls, autonomy controls, usage analytics, and governance, Large codebases where agentic search, repository memory, and coordinated multi-file changes matter |
| Not best for | Developers who only need fast autocomplete, Teams that cannot grant agents repository or tool access, Highly sensitive production systems without sandboxing and review gates, Users who need local model execution, Users who want provider-neutral BYOK model routing, Non-technical prompt-to-app builders who do not want to review code, Small tasks where a local IDE assistant or CLI agent is faster and cheaper | Developers who only want lightweight inline autocomplete, Users looking for a free or open-source local coding agent, Teams without tests, repository conventions, or review processes for agent-generated changes, Builders who want a visual app builder or prompt-to-app tool, Organizations that cannot allow AI agents to execute tools, inspect repositories, or propose code changes |
Use Case Winners
Both Devin and Factory have comparable signals here.
Factory has BYOK or model-routing flexibility.
Devin lists more team or enterprise controls.
Factory has stronger frontend or web workflow signals.
Factory supports more model/provider options or BYOK-style workflows.
Neither tool shows a strong signal for this use case in the current structured data.
Pricing Comparison
Devin
- Free$0 / month
Light quota to code with agents, limited model availability, unlimited inline edits, and unlimited Tab completions.
- Pro$20 / month
Adds increased quotas, full model availability, access to OpenAI, Claude, and Gemini frontier models, free SWE 1.6 usage, and Devin Cloud.
- Max$200 / month
Higher individual quota for power users, including everything in Pro with significantly more usage.
- Teams$80 + $40/full dev seat / month
Team plan with unlimited team members, collaboration, centralized billing, admin analytics, and priority support.
- EnterpriseCustom
Enterprise plan with custom terms, dedicated account team, SAML/OIDC SSO, centralized admin controls, teamspace isolation, and dedicated deployment options.
Factory
- Pro$20 / month
Individual plan with Factory App, Droid CLI, Droid SDK, cloud and local background agents, usage tracking, and agent-readiness dashboard.
- Plus$100 / month
Adds expanded rolling rate limits, about 5x Pro usage, and Droid Computers for Factory-managed remote cloud environments.
- Max$200 / month
Adds about 10x Pro usage and early access to new features.
- TeamsCustom
For growing teams with up to 150 seats, custom usage limits, SSO, SAML/SCIM, ZDR, onboarding, support, and admin controls.
- EnterpriseCustom
For larger organizations needing advanced governance, deployment, compliance, observability, and security requirements.
Privacy & Security
Devin
Devin can process prompts, repository content, shell output, browser activity, issue or ticket data, pull request context, secrets made available through configured tools, knowledge sources, and integration metadata. Enterprise customers can evaluate dedicated deployment, AWS PrivateLink or IPSec private networking, SAML/OIDC SSO, RBAC, and teamspace isolation. Teams should scope permissions narrowly, separate production credentials from agent environments, review generated changes before merge, and avoid giving cloud agents unnecessary access to sensitive systems or data.
Factory
Factory can operate across local, cloud, IDE, terminal, and enterprise workflows, and its model routing may involve third-party LLM providers unless configured otherwise. Team and enterprise plans advertise governance options such as SSO, SAML/SCIM, Zero Data Retention, model controls, org-level deny lists, and OTEL-based usage analytics. Teams should review Factory’s current security, deployment, telemetry, provider-retention, and BYOK settings before using it with sensitive code or regulated data.
Choose Devin if...
- Engineering teams with large backlogs
- Parallel task delegation
- Bug reproduction and fixing
- Feature implementation drafts
- Code migrations
Choose Factory if...
- Engineering teams that want to delegate implementation, review, testing, and automation tasks to agents
- Developers who prefer terminal-first agent workflows without switching IDEs
- Teams using Jira, Linear, Slack, GitHub, and CI/CD as the center of engineering work
- Organizations that need model controls, autonomy controls, usage analytics, and governance
- Large codebases where agentic search, repository memory, and coordinated multi-file changes matter
Avoid Devin if...
- Developers who only need fast autocomplete
- Teams that cannot grant agents repository or tool access
- Highly sensitive production systems without sandboxing and review gates
- Users who need local model execution
- Users who want provider-neutral BYOK model routing
Avoid Factory if...
- Developers who only want lightweight inline autocomplete
- Users looking for a free or open-source local coding agent
- Teams without tests, repository conventions, or review processes for agent-generated changes
- Builders who want a visual app builder or prompt-to-app tool
- Organizations that cannot allow AI agents to execute tools, inspect repositories, or propose code changes