Devin vs SWE-agent
Devin and SWE-agent are both popular tools in the AI Agents space. Devin uses a paid model starting at $500/mo, while SWE-agent is open-source from Free. SWE-agent offers a free tier, while Devin does not. Below we break down features, pricing, strengths, and weaknesses to help you decide which tool fits your workflow best.
Last updated: March 2026
Quick Verdict
Choose Devin if you want the world's first fully autonomous ai software engineer.. Devin's biggest strengths include most autonomous ai coding agent available and can handle end-to-end tasks without hand-holding. It's also rated higher (4.2 vs 3.8). Choose SWE-agent if you prefer princeton's autonomous ai agent for solving real github issues.. Key advantages include research-backed with proven benchmark performance and fully open-source from princeton university. It also has a free tier to get started.
| Devin | SWE-agent | |
|---|---|---|
| Pricing | $500/mo | Free |
| Free Tier | No | Yes |
| Pricing Model | Paid | Open-source |
| Rating | ★ 4.2 | ★ 3.8 |
| Categories | AI Agents | AI Agents |
| Key Features | 5 features | 6 features |
| Feature | Devin | SWE-agent |
|---|---|---|
| Fully autonomous coding from task description to deployment | ✓ | — |
| Sets up its own dev environment and toolchain | ✓ | — |
| Plans, codes, debugs, and tests independently | ✓ | — |
| Handles complex multi-step engineering tasks | ✓ | — |
| Slack integration for task assignment and updates | ✓ | — |
| Autonomous GitHub issue resolution | — | ✓ |
| Codebase navigation and file identification | — | ✓ |
| Automated code editing and patch generation | — | ✓ |
| Strong SWE-bench benchmark performance | — | ✓ |
| Support for multiple LLM backends | — | ✓ |
| Configurable agent behavior and tools | — | ✓ |
Devin
Pros
- + Most autonomous AI coding agent available
- + Can handle end-to-end tasks without hand-holding
- + Great for repetitive or well-defined engineering tasks
Cons
- − Very expensive at $500/mo for teams
- − Output quality varies on complex or ambiguous tasks
- − Limited transparency into decision-making process
SWE-agent
Pros
- + Research-backed with proven benchmark performance
- + Fully open-source from Princeton University
- + Effective at real-world bug fixing tasks
- + Useful reference for AI agent research
Cons
- − Research project — not designed for production use
- − Requires significant setup and configuration
- − API costs can be high for complex issues
The Bottom Line
Choose Devin if: you want the world's first fully autonomous ai software engineer.. It holds a higher user rating (4.2 vs 3.8). Keep in mind: very expensive at $500/mo for teams.
Choose SWE-agent if: you prefer princeton's autonomous ai agent for solving real github issues.. It has a free tier to get started, which Devin lacks. It's completely free to use. Keep in mind: research project — not designed for production use.
Both tools compete in the AI Agents space. The right choice depends on your specific needs, team size, and budget.
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