Best for
Best for developers tackling complex, multi-file refactors and architectural changes from the terminal.
- Freelancers
- Small and mid-sized
- Enterprise
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AI Code Comparison
At a glance
Best for
Best for developers tackling complex, multi-file refactors and architectural changes from the terminal.
Best for
Best for engineering teams that want an open-source coding agent they can self-host and point at their own models.
Cataleo does not name a winner. Both statements come from the vendors themselves.
| Criterion | Claude Code | OpenHands |
|---|---|---|
| Starting price | Included in Claude Pro, $20 / month Max from $100 per month. Also available through the Anthropic API, billed per use. | Free, open source (MIT) The hosted Individual plan is free with up to 10 conversations per day; models are billed through your own key or the OpenHands provider at cost. Enterprise is priced on request. |
| Free trial | Through a Claude subscription | Free and open source; hosted Individual plan free with up to 10 conversations per day |
| Commercial use | Yes | Yes |
| Output | Terminal agent with project-level planning | Autonomous agents that plan, edit, run and test code |
| API | Yes, the Anthropic API | Yes, REST and WebSocket APIs through the Agent Server |
| Hosting | Not stated | Self-hosted locally, in Docker or Kubernetes, or the managed OpenHands Cloud |
| Where it runs | Terminal, pairs with any editor | Agent Canvas web interface, a terminal CLI, a Python, TypeScript and REST SDK, self-hosted Agent and Sandbox servers, or the managed OpenHands Cloud |
| Inline completions | No, it works by instruction rather than by autocomplete: the CLI and the VS Code and JetBrains extensions offer plan review, inline diffs and @-mentions, not tab completions as you type | No, an agent platform rather than an inline autocomplete tool |
| Agent mode | Yes, terminal-native agent with a project-level planning loop, deep multi-file context and MCP support | Yes, that is the product: agents that plan, edit, run and test code, with automations that decompose GitHub issues into tasks |
| Model choice | Yes, Opus, Sonnet, Haiku and Fable models, switched with the /model command, the --model flag, an environment variable or a settings file, including extended 1M-token context variants | Model-agnostic through LiteLLM, with provider guides for OpenAI, Anthropic, Google, AWS Bedrock, Azure and OpenRouter, plus local open-weight models |
| Data control | Team, Enterprise and API usage is not used to train models and is retained for 30 days, with zero data retention available to qualified Enterprise accounts; on Free, Pro and Max the account's own training setting applies. It also runs against Amazon Bedrock, Google Cloud's Agent Platform and Microsoft Foundry, where telemetry and feedback are off by default | Runs on your own machine or in your own VPC when self-hosted; Enterprise adds SAML and SSO, multi-user RBAC and auditability |
| Ecosystem fit | Terminal, VS Code and JetBrains extensions, a desktop app, the web and mobile, plus GitHub Actions, GitLab CI/CD, Slack and Chrome; MCP servers connect external tools and the Agent SDK builds custom agents on the same engine | Git integrations plus Jira and Slack, and interoperability with agents that speak the Agent Client Protocol |
| Deployment | Cloud (SaaS), Browser-based | more entries Cloud (SaaS), Browser-based, On-premise |
| Support | Not stated | Community forum |
| Onboarding | Documentation and knowledge base | Documentation and knowledge base |
| Company size | Freelancers, Small and mid-sized, Enterprise | Freelancers, Small and mid-sized, Enterprise |
| Integrations | more entries VS Code, JetBrains IDEs, GitHub Actions, GitLab CI/CD, Slack, Chrome, Model Context Protocol servers, Amazon Bedrock, Google Cloud's Agent Platform, Microsoft Foundry | GitHub, Slack, Jira, Linear |
Adds a column to the table, from the tools in this category.
Row where the values differ The small markers point at the lower number, the longer list or the stated feature. They describe the data, they are not a verdict.
The short version
Every line is one datapoint from the table above, picked automatically. Nothing here is written text.
The trade-offs
Claude Code
Strengths
Limitations
OpenHands
Strengths
Limitations
Plans
Claude Code
OpenHands
What users say
Claude Code
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OpenHands
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Where this comes from
Claude Code https://www.anthropic.com/claude-code · no check date recorded yet
OpenHands https://www.openhands.dev · no check date recorded yet
This table lists factual criteria taken from information the vendors publish themselves. For how we put it together, see the methodology.