OpenHands vs Devin
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | OpenHands | Devin |
|---|---|---|
| Pricing | Freemium (Open Source) | Paid (Enterprise) |
| Primary Focus | Automated bug fixes, PR review, code migration | Autonomous end-to-end production code shipping |
| Execution Model | Asynchronous, scheduled, event-driven | Real-time, interactive cloud IDE + CLI |
| Model Support | Model-agnostic (Claude Code, Codex, Gemini CLI, MiniMax M2.7) | Proprietary (Cognition Fable, Devin Fusion) |
| Unique Feature | Agent Canvas & SDK for custom agent workflows | Native Windows VM & Android emulator support |
If your team needs a turnkey autonomous engineer that ships production code end-to-end with enterprise compliance and a money-back guarantee, Devin is the clear pick. But if you prefer a model-agnostic, asynchronous automation platform that gives you full control over agents, sandboxes, and scheduling—and want to avoid vendor lock-in—OpenHands is more flexible and cost-effective.
OpenHands runs autonomous coding agents from GitHub, Slack, Jira, Linear, or a schedule that review PRs, fix CI, and open pull requests.
Visit WebsiteDevin is an autonomous AI software engineer that plans, codes, tests, and ships mergeable pull requests inside your repo.
Visit WebsiteWhat real users say: OpenHands vs Devin
Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.
OpenHands
45 mentions across 5 sources · 54% positive — mixed (averaged across 5 sources)
Hacker News, YouTube, Stack Overflow, GitHub, Lemmy
What users praise
- • Model-agnostic: works with Claude Code, Codex, Gemini CLI, and local models.
- • Open-source with 84,680 GitHub stars and active community.
- • SDK enables driving agents with code and custom automation.
- • Asynchronous execution in isolated sandboxes for safe automation.
What frustrates them
- • Difficult to configure, especially with Docker or local servers.
- • Steep learning curve for setting up and managing agents.
- • Community support is sparse; Stack Overflow questions go unanswered.
- • Requires external model APIs or local models, adding setup complexity.
Researched Aug 21, 2026
Devin
43 mentions across 2 sources · 60% positive — mixed (averaged across 2 sources)
Hacker News, Lemmy
What users praise
- • True end-to-end agentic autonomy: plans, writes, tests, ships production code.
- • Built to handle large, complex codebases and multi-step tasks without supervision.
- • Fusion hybrid-model routing cuts operational costs by 35%, a real edge.
- • Integrates natively with RubyMine, Webstorm, GitHub, GitLab, Slack, and more.
What frustrates them
- • Pricey—$500-1,000/mo is a big ask for individuals or small startups.
- • Community data sparse on support quality—user experiences are limited.
- • Benchmark results are self-reported; independent validation is still lacking.
- • Integration depth varies—some users may find third-party harnesses more flexible.
Researched Aug 18, 2026
Who should pick which
- Enterprise team shipping production featuresPick: Devin
Devin’s autonomous end-to-end workflow, FedRAMP compliance, and $10M guarantee suit teams needing reliability and compliance.
- Developer automating bug fixes and PR reviewsPick: OpenHands
OpenHands’ asynchronous, scheduled PR review and vulnerability scanning integrate with Slack/PagerDuty for hands-off fixes.
- Organization running legacy COBOL to Java migrationPick: OpenHands
OpenHands explicitly supports legacy code migration with testing, and its model-agnostic design allows using specialized models.
- Cross-platform app developer (Windows + Android)Pick: Devin
Devin’s native Windows VM and Android emulator support make it uniquely capable for building/testing Windows and Android apps autonomously.
Benchmarks
| Metric | OpenHands | Devin |
|---|---|---|
| SWE-bench Verified (best public) | 55.0 %SWE-bench leaderboard, Sonnet 4.6 config | 14–20 %Cognition blog + independent runs |
| Monthly cost (1 dev, daily use) | $30–$100LLM API tokens only | $500+ /seatTeam plan public pricing |
| Cold-start latency | ~5 slocal Docker | ~30–60 scloud sandbox boot |
| Models supported | 30+ providersLiteLLM integration | 1 proprietary stackCognition-selected |
| GitHub stars | ~62kgithub.com/All-Hands-AI/OpenHands | N/A closed source— |
| Source availability | MIT licensefully open source | Closedproprietary SaaS |
Frequently Asked Questions
OpenHands vs Devin: which should you choose?
If your team needs a turnkey autonomous engineer that ships production code end-to-end with enterprise compliance and a money-back guarantee, Devin is the clear pick. But if you prefer a model-agnostic, asynchronous automation platform that gives you full control over agents, sandboxes, and scheduling—and want to avoid vendor lock-in—OpenHands is more flexible and cost-effective.
Can I use Devin with my own language model?
No, Devin uses Cognition’s proprietary models (Fable 5) and Devin Fusion architecture. You cannot bring your own LLM.
Does OpenHands provide a cloud IDE like Devin Desktop?
No, OpenHands is agent-based and runs asynchronously in sandboxes, not an interactive IDE. For real-time coding, you’d use a separate editor.
Which tool supports multi-agent collaboration?
Both do. Devin supports multi-agent delegation across isolated VMs, while OpenHands offers Agent Canvas for managing multiple agents in one workspace.
Is OpenHands fully self-hostable?
Yes, OpenHands is open-source and can be self-hosted. Agent Canvas is a self-hostable workspace for automations.
Which tool has better security for regulated industries?
Devin is FedRAMP High In-Process, making it suitable for U.S. government use. OpenHands offers sandboxing and audit trails but lacks FedRAMP certification.
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Last reviewed: July 30, 2026