AI Tool Comparison
Comparing as AI Pair Programming & Terminal AgentsGitHub Copilot vs Devin
Compare features, pricing, pros & cons, and user ratings to decide which AI tool is best for your needs.
GitHub Copilot
VS
Devin
Verdict by Category
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Detailed Comparison
Feature
GitHub Copilot
Devin
Pricing
FreemiumGitHub Copilot Free costs $0/user/month and includes 2,000 completions per month, access to models like Haiku 4.5 and GPT-5 mini, Copilot CLI, and community support. Pro costs $10/user/month and adds cloud agent and code review access, unlimited code completion and next-edit suggestions, access to third-party agents like Claude Code and Codex, model selection, and $15 in monthly total credits. Pro+ costs $39/user/month and adds premium models including Opus, audit logs, 4x+ more included usage than Pro, and $70 in monthly credits. Max costs $100/user/month for sustained high-volume agent workflows, with priority access to new models, 2.9x+ more usage than Pro+, and $200 in monthly credits. For businesses, the Business plan costs $19/user/month with unlimited code completion, cloud agent and code review access, a broad model catalog, access control, budget governance, and IP indemnity. Enterprise costs $39/user/month with everything in Business plus priority access to new models and 2x the included usage. GitHub AI Credits (1 credit = $0.01) meter usage for chat, agents, CLI, Spaces, and Spark beyond the included monthly allowance.
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
AI pair programmer for code completion, chat, and autonomous coding agents
Autonomous AI software engineer that plans, codes, and ships end-to-end
GitHub Copilot Pros & Cons
Pros
- Free tier available with no credit card required to get started
- Deep native integration with GitHub, VS Code, Visual Studio, and JetBrains IDEs
- Autonomous coding agent can work issues end-to-end toward a pull request
- Broad model choice, including Claude, GPT, and third-party agents like Codex
- IP indemnification available for unmodified suggestions with filtering enabled
- Backed by extensive enterprise governance, audit logs, and budget controls
Cons
- Free tier is capped at 2,000 completions and 50 chat requests per month
- Premium models like Opus require the pricier Pro+ or Max plans
- Suggestions can occasionally match public code, raising minor copyright considerations
- Quality varies by programming language depending on training data representation
- Enterprise-grade codebase indexing and org-wide chat require the costlier Enterprise plan
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