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Compare/Codex cloud vs no_human

Codex cloudvsno_human

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
2 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.”

no_human
no_human · Autonomous SWE
#95OSSMCP
Panel
6.2
6 spec wins
Reliability
5.7
Usefulness
6.5
Cost
6.8
Longevity
5.8

“It runs an AI coding factory on your own machine, which is a stately way to describe the noise your laptop fan now makes.”

Spec by spec

SpecCodex cloudno_human
Architecture
CategoryAutonomous SWEAutonomous SWE
Runscloud, sandboxlocal
Platformswebmacos, linux, windows
Context windownot documentednot documented
Protocols
MCP clientNoNo
MCP serverNoYes
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). No
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). No
Multi-agent orchestrationYesYesEach task runs a coder and then a separate adversarial reviewer model that never saw the coder's session, and several tasks run at once.
Headless / CI modeYesNo
Models
BackboneGPT-5.6 Sol, GPT-5.6 Terra, GPT-5.6 Lunaany
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). Yes
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. No
Cost
Pricing modelsubscriptionbyok
Starts at$20/mo$0/mo
Free tierNoYes
Bring your own keyNoCloud tasks require a ChatGPT plan; an OpenAI API key does not unlock them. Yes
Openness
Open sourceNoYes
LicenseproprietaryMIT
GitHub starsn/a328

Which one would each critic pick

CriticCodex cloudno_humanPick
El Juez——not enough reviews
El Amigo7.36.5Codex 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 Crítico6.55.5Codex 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 Profesor6.86.8no preference
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 Jefa7.05.3Codex 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 Hacker3.57.3no_human — It ships an MCP stdio server on the official Python SDK, so my existing agent files a task with task_add and gets the whole loop behind it.

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.