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) |
| Enterprise Guardrails | Sandbox execution, audit trails, SSO, budget guardrails | FedRAMP High In-Process, $10M AI Productivity Guarantee |
| 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.
Open-source platform for autonomous cloud coding agents that fix bugs, review PRs, and automate workflows.
Visit WebsiteAutonomous AI software engineer that plans, writes, tests, and ships production code end-to-end.
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
Feature-by-feature
Devin and OpenHands both offer autonomous coding agents, but their strengths differ sharply. Devin is designed for real-time, interactive development: it provides a cloud IDE (Devin Desktop) with Agent Command Center, a CLI to hand off tasks to cloud VMs, and supports native Windows VMs and Android emulators for cross-platform development. Its Security Swarm discovers vulnerabilities and ships PRs autonomously, and Auto-Triage monitors bugs. Devin uses proprietary models (Fable 5 with Fusion architecture) optimized for its end-to-end workflow. OpenHands, by contrast, is model-agnostic, supporting Claude Code, Codex, Gemini CLI, and MiniMax M2.7. It focuses on asynchronous, scheduled tasks via cron or event triggers from GitHub, Slack, PagerDuty. Agent Canvas lets you manage multiple agents in one workspace, and the Enterprise Agent Control Plane enforces fine-grained access, budget guardrails, and audit trails. OpenHands excels at migrations (e.g., COBOL to Java), PR review, and incident triage. Devin’s multi-agent delegation across isolated VMs and session scheduling are unique, while OpenHands’ sandboxed execution and SDK for custom workflows offer unmatched flexibility.
Pricing compared
Devin is a paid enterprise product with no free tier—pricing is not publicly listed but backed by a $10M AI Productivity Guarantee. OpenHands follows a freemium, open-source model: you can self-host the Agent Canvas for free or use their cloud version with paid tiers (exact pricing not specified, but “freemium” implies a free tier plus paid upgrades). Devin’s cost includes proprietary models and a fully managed environment, which can be high but predictable. OpenHands lets you choose your own LLM providers (e.g., Claude, Codex) and control infrastructure costs, making it potentially cheaper at scale if you already have GPU access. For regulated sectors, Devin’s FedRAMP High In-Process certification justifies its premium. For startups or teams with existing LLM contracts, OpenHands avoids lock-in.
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