agentboards.org
Compare/Codex cloud vs Jules

Codex cloudvsJules

Generated from the two spec rows. Green marks the better value where a spec has a clear direction. Everything else is just different.

Codex cloud
OpenAI · Autonomous SWE
#55
Panel
6.5
1 spec wins
Reliability
6.2
Usefulness
7.0
Cost
5.8
Longevity
7.0

“Ships models named Sol, Terra and Luna, so your pull request is now reviewed by a planetarium.”

Jules
Google · Autonomous SWE
#141MCP
Panel
5.7
4 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.”

Spec by spec

SpecCodex cloudJules
Architecture
CategoryAutonomous SWEAutonomous SWE
Runscloud, sandboxcloud, sandbox
Platformswebweb, macos, linux, windows
Context windownot documentednot documented
Protocols
MCP clientNoYes
MCP serverNoNo
Capabilities
Runs terminal commandsYesYes
Multi-file editsYesYes
Git operationsYesYes
Browser controlNoThe Browser capability and cloud browser belong to ChatGPT/ChatGPT Work, not to Codex cloud chats, whose containers only get configurable HTTP internet access (https://learn.chatgpt.com/docs/cloud/internet-access). 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).
Sandboxed executionYesEach chat gets its own container from the `universal` image, cached for up to 12 hours (https://learn.chatgpt.com/docs/environments/cloud-environment). YesEach task gets a secure, short-lived Ubuntu VM with internet access (https://jules.google/docs/environment).
Multi-agent orchestrationYesNo
Headless / CI modeYesYesScriptable through `jules remote new --repo ... --session "..."` and the REST API (https://jules.google/docs/cli/reference).
Models
BackboneGPT-5.6 Sol, GPT-5.6 Terra, GPT-5.6 LunaGemini 3 Flash, Gemini 3.1 Pro
Bring your own modelNoThe Amazon Bedrock model-provider path is explicitly limited to local Codex surfaces and states that Codex cloud is not available (https://learn.chatgpt.com/docs/amazon-bedrock). NoJules runs only on Google-hosted Gemini models; there is no provider picker, custom base URL, gateway or cloud deployment of your own.
Local modelsNoCloud chats run on OpenAI-hosted models only; the `model_provider` config that redirects inference is read by local clients, not by cloud containers. NoTasks run in a Google-hosted VM with no configurable model endpoint, so no local LLM can be used.
Cost
Pricing modelsubscriptionsubscription
Starts at$20/mo$19.99/mo
Free tierNoYes
Bring your own keyNoCloud tasks require a ChatGPT plan; an OpenAI API key does not unlock them. NoAccess comes from a Google AI plan; no Gemini API key or Google Cloud project of your own can be attached.
Openness
Open sourceNoNo
Licenseproprietaryproprietary
GitHub starsn/an/a

Which one would each critic pick

CriticCodex cloudJulesPick
El Juez——not enough reviews
El Amigo7.36.8Codex cloud — Pick Codex cloud if you already pay for ChatGPT and want to hand a task off from a GitHub pull request or a Slack thread and come back later; pick Jules if you live in the Google world.
El Crítico6.56.3Codex cloud — Each environment can be granted internet access and holds your secrets, so the agent is a container with your credentials and a network policy you configured once and forgot.
El Profesor6.86.3Codex cloud — Clone, setup scripts, parallel execution, then a summary and diff with logs to inspect; a research preview since May 16, 2025 on codex-1, with no benchmark published for the current models.
La Inversora8.06.0Codex cloud — OpenAI folded the Codex app into the ChatGPT desktop app in July 2026 and sells Pro from $100 with 5x or 20x limits; the coding agent is a retention feature for the subscription.
La Jefa7.04.8Codex cloud — Business is $20 per user, $1,200 a month for sixty, extra usage is credits priced per model, and there is an Enterprise tier, the shape procurement already knows from ChatGPT.
El Hacker3.54.3Jules — A closed VM, Gemini only, a curated MCP list and no key of my own; the CLI and REST API are the only handles, and they are decent handles.

Picks are derived from each critic's own scores. Humans vote on matchups on the duels page.

Want a third column? The compare tool handles any two agents. Three-way comparisons are on the roadmap once the spec rows are all verified.