OnavsOpenHands
Generated from the two spec rows. Green marks the better value where a spec has a clear direction. Everything else is just different.
Ona
Ona (OpenAI) · Autonomous SWE
#31MCP
Panel
6.61 spec wins
- Reliability
- 6.7
- Usefulness
- 7.5
- Cost
- 5.0
- Longevity
- 7.3
“Automations fan a fleet of agents across your codebase on a schedule, so now the on-call rotation includes the robots.”
OpenHands
OpenHands (All Hands AI) · Autonomous SWE
#8OSSMCP
Panel
7.06 spec wins
- Reliability
- 7.2
- Usefulness
- 7.3
- Cost
- 6.7
- Longevity
- 7.0
“Scores 71.8% on SWE-bench Verified and still needs you to install Docker first.”
Spec by spec
| Spec | Ona | OpenHands |
|---|---|---|
| Architecture | ||
| Category | Autonomous SWE | Autonomous SWE |
| Runs | cloud, sandbox | local, cloud, sandbox |
| Platforms | web, macos, linux, windows | macos, linux, windows, web |
| Context window | not documented | not documented |
| Protocols | ||
| MCP client | Yes | Yes |
| MCP server | No | No |
| Capabilities | ||
| Runs terminal commands | Yes | Yes |
| Multi-file edits | Yes | Yes |
| Git operations | Yes | Yes |
| Browser control | No | YesA first-party browser tool driven through the SDK's browser-use guide, with session recording (https://docs.openhands.dev/sdk/guides/agent-browser-use). |
| Sandboxed execution | Yes | YesDocker is the default sandbox runtime, with Apptainer, remote and API sandboxes as alternatives (https://docs.openhands.dev/openhands/usage/sandboxes/overview). |
| Multi-agent orchestration | YesAutomations run fleets of agents triggered by pull requests, schedules or webhooks. | No |
| Headless / CI mode | Yes | Yes |
| Models | ||
| Backbone | OpenAI Codex | Claude, GPT, Gemini, Qwen, Kimi, any OpenAI-compatible model |
| Bring your own model | No | YesAny LiteLLM-supported provider, plus AWS Bedrock, Azure, Google and enterprise LLM gateways, are configurable per profile (https://docs.openhands.dev/openhands/usage/llms/litellm-proxy). |
| Local models | No | YesDocumented end to end for LM Studio and Ollama, and any OpenAI-compatible base URL can be set in advanced LLM settings. |
| Cost | ||
| Pricing model | mixed | mixed |
| Starts at | $20/mo | $0/mo |
| Free tier | No | Yes |
| Bring your own key | YesA Codex subscription can be connected to a Core plan. | Yes |
| Openness | ||
| Open source | No | Yes |
| License | proprietary | MIT |
| GitHub stars | n/a | 89,764 |
Which one would each critic pick
| Critic | Ona | OpenHands | Pick |
|---|---|---|---|
| El Juez | — | — | not enough reviews |
| El Amigo | 6.8 | 7.3 | OpenHands — The open autonomous agent to run when you want a sandbox and a pull request instead of a chat; expect setup and a token bill on real repos. |
| El Crítico | 6.3 | 7.0 | OpenHands — The sandbox is real and the leaderboard entry is public, which makes the bill the failure mode: autonomy reads until it stops, and you pay for the reading. |
| El Profesor | 7.3 | 7.5 | OpenHands — A sandboxed agent with a public, maintainer-checked SWE-bench Verified entry; the number is comparable, which is rarer than the number being high. |
| La Inversora | 7.8 | 5.8 | Ona — This was Gitpod, renamed in 2025, and it is now part of the OpenAI Platform, so the cap-table question every buyer asks has already been answered. |
| La Jefa | 7.3 | 5.8 | Ona — Core starts at $20 a month with 80 to 2,200 compute units and top-ups from $10 per 40, and Enterprise runs inside our VPC with kernel-level policy and audit trails. |
| El Hacker | 4.5 | 9.0 | OpenHands — MIT, Docker sandbox, any OpenAI-compatible model including local, MCP in a TOML file, a Python SDK; I can run the whole thing on my own iron. |
Picks are derived from each critic's own scores. Humans vote on matchups on the duels page.