AI Tool Comparison
Comparing as AI Pair Programming & Terminal AgentsOpenHands vs Devin
OpenHands
VS
Devin
Verdict by Category
Detailed Comparison
Feature
OpenHands
Devin
Pricing
FreemiumOpenHands has three tiers. The Open Source plan is free forever (MIT license) — self-host locally with your own LLM keys, with a web-based GUI, terminal UI, CLI, Git integrations, and community support. No infra cost.
The Cloud Individual plan is also free, adding hosted cloud access from desktop and mobile, API support for automation and scripting, Jira and Slack integrations, and BYOK or access to the OpenHands LLM provider at-cost with no markup. The Individual plan supports 1 user with up to 10 conversations per day.
Enterprise has custom pricing and adds VPC or self-hosted deployment (code never leaves your environment), Enterprise SAML/SSO, RBAC, unlimited concurrent conversations per user, the Large Codebase SDK for large/legacy codebases, centralized team billing, Agent Control Plane, audit logs, budget controls, priority support, a named Customer Engineer, and a shared Slack channel. Contact sales at openhands.dev/contact.
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 AssistantsAI Productivity ToolsAI Developer APIs & PlatformsAI No-Code / Automation Tools
AI Coding Assistants
Summary
The open platform for cloud coding agents — autonomous, transparent, and in your control
Autonomous AI software engineer that plans, codes, and ships end-to-end
OpenHands Pros & Cons
Pros
- Most-starred open-source coding agent on GitHub with 80,800+ stars and MIT license — transparent, community-audited, and free forever to self-host
- Fully autonomous end-to-end task completion — not autocomplete or suggestions; agents actually plan, code, test, and push PRs
- Model-agnostic with BYOK — no vendor lock-in; use Claude, GPT, Gemini, DeepSeek, Llama, or any other LLM
- 70+ integrations and event-triggered automations run agents in the cloud even when your machine is off
- Trusted by engineers at Apple, Google, Amazon, Netflix, TikTok, NVIDIA, Mastercard, VMware, AMD, and MongoDB
- Enterprise adopters report 87% of bug tickets resolved same-day and code-maintenance backlogs reduced by up to 50%
Cons
- Fully autonomous agents can make unintended changes — production use requires careful scope control and human review of diffs before merging
- Cloud Individual plan limits daily conversations to 10 — heavy users need Enterprise for unlimited runs
- Self-hosted deployment requires Docker and local setup; not a zero-config experience for non-technical teams
- Enterprise pricing is custom and sales-gated — no transparent list price for team deployments
- Open-source core means community support on the free tier; production SLAs and priority support require Enterprise
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