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Compare/Jules vs OpenHands

JulesvsOpenHands

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
5.7
0 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.”

OpenHands
OpenHands (All Hands AI) · Autonomous SWE
#8OSSMCP
Panel
7.0
5 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

SpecJulesOpenHands
Architecture
CategoryAutonomous SWEAutonomous SWE
Runscloud, sandboxlocal, cloud, sandbox
Platformsweb, macos, linux, windowsmacos, linux, windows, web
Context windownot documentednot documented
Protocols
MCP clientYesYes
MCP serverNoNo
Capabilities
Runs terminal commandsYesYes
Multi-file editsYesYes
Git operationsYesYes
Browser controlYesThe 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). 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 executionYesEach task gets a secure, short-lived Ubuntu VM with internet access (https://jules.google/docs/environment). YesDocker is the default sandbox runtime, with Apptainer, remote and API sandboxes as alternatives (https://docs.openhands.dev/openhands/usage/sandboxes/overview).
Multi-agent orchestrationNoNo
Headless / CI modeYesScriptable through `jules remote new --repo ... --session "..."` and the REST API (https://jules.google/docs/cli/reference). Yes
Models
BackboneGemini 3 Flash, Gemini 3.1 ProClaude, GPT, Gemini, Qwen, Kimi, any OpenAI-compatible model
Bring your own modelNoJules runs only on Google-hosted Gemini models; there is no provider picker, custom base URL, gateway or cloud deployment of your own. 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 modelsNoTasks run in a Google-hosted VM with no configurable model endpoint, so no local LLM can be used. YesDocumented end to end for LM Studio and Ollama, and any OpenAI-compatible base URL can be set in advanced LLM settings.
Cost
Pricing modelsubscriptionmixed
Starts at$19.99/mo$0/mo
Free tierYesYes
Bring your own keyNoAccess comes from a Google AI plan; no Gemini API key or Google Cloud project of your own can be attached. Yes
Openness
Open sourceNoYes
LicenseproprietaryMIT
GitHub starsn/a89,764

Which one would each critic pick

CriticJulesOpenHandsPick
El Juez——not enough reviews
El Amigo6.87.3OpenHands — 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 Crítico6.37.0OpenHands — 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 Profesor6.37.5OpenHands — 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 Inversora6.05.8Jules — Jules is a feature of a consumer subscription, not a company, and the risk to a buyer is a deprecation notice rather than a bankruptcy.
La Jefa4.85.8OpenHands — Self-hosted in our VPC with SAML on the Enterprise tier is the right shape; the price is custom and the free tiers do not fit sixty seats.
El Hacker4.39.0OpenHands — 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.

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