JulesvsOna
Generated from the two spec rows. Green marks the better value where a spec has a clear direction. Everything else is just different.
Jules
Google · Autonomous SWE
#141MCP
Panel
5.73 spec wins
- Reliability
- 5.3
- Usefulness
- 5.8
- Cost
- 6.3
- Longevity
- 5.3
“Fifteen free tasks a day, as long as you are over 18 and using a personal Gmail rather than the company account.”
Ona
Ona (OpenAI) · Autonomous SWE
#31MCP
Panel
6.62 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.”
Spec by spec
| Spec | Jules | Ona |
|---|---|---|
| Architecture | ||
| Category | Autonomous SWE | Autonomous SWE |
| Runs | cloud, sandbox | cloud, sandbox |
| Platforms | web, macos, linux, windows | web, macos, linux, windows |
| 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 | YesThe default VM image includes Playwright and chromedriver, and Jules renders a front end and returns screenshots to verify its work (https://jules.google/docs/environment). | No |
| Sandboxed execution | YesEach task gets a secure, short-lived Ubuntu VM with internet access (https://jules.google/docs/environment). | Yes |
| Multi-agent orchestration | No | YesAutomations run fleets of agents triggered by pull requests, schedules or webhooks. |
| Headless / CI mode | YesScriptable through `jules remote new --repo ... --session "..."` and the REST API (https://jules.google/docs/cli/reference). | Yes |
| Models | ||
| Backbone | Gemini 3 Flash, Gemini 3.1 Pro | OpenAI Codex |
| Bring your own model | NoJules runs only on Google-hosted Gemini models; there is no provider picker, custom base URL, gateway or cloud deployment of your own. | No |
| Local models | NoTasks run in a Google-hosted VM with no configurable model endpoint, so no local LLM can be used. | No |
| Cost | ||
| Pricing model | subscription | mixed |
| Starts at | $19.99/mo | $20/mo |
| Free tier | Yes | No |
| Bring your own key | NoAccess comes from a Google AI plan; no Gemini API key or Google Cloud project of your own can be attached. | YesA Codex subscription can be connected to a Core plan. |
| Openness | ||
| Open source | No | No |
| License | proprietary | proprietary |
| GitHub stars | n/a | n/a |
Which one would each critic pick
| Critic | Jules | Ona | Pick |
|---|---|---|---|
| El Juez | — | — | not enough reviews |
| El Amigo | 6.8 | 6.8 | no preference |
| El Crítico | 6.3 | 6.3 | no preference |
| El Profesor | 6.3 | 7.3 | Ona — Verification has a real substrate: the agent works inside an environment carrying your toolchain, permissions and network access, so a claim can be executed rather than argued. |
| La Inversora | 6.0 | 7.8 | 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 | 4.8 | 7.3 | 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 | 4.3 | 4.5 | Ona — Closed source and cloud-only, but it speaks MCP and a Codex subscription can be attached to a Core plan, which is the one string I get to hold. |
Picks are derived from each critic's own scores. Humans vote on matchups on the duels page.