Superconductor vs Codex: which one is right for your team?
Superconductor is a multiplayer AI platform for teams of technical and non-technical users, and Codex is OpenAI's coding agent for developers. Both run coding agents in the cloud and return a diff or a pull request to review. They differ in agent choice, subscription support, and how teammates review the result.
Support for different types of teams
Each task is marked Can, Partly, or Cannot for each product.
| Task | Superconductor | Codex |
|---|---|---|
| Plan a feature from a specification or a planning call | Can. Create a ticket from the app, Slack, Linear, or the Superconductor meeting assistant during a call. You can ask questions about a codebase in a chat first. | Partly. In Plan mode, Codex drafts a plan before it edits code. Someone has to paste decisions from a meeting into the prompt. |
| Implement a feature or bugfix | Can. The agent builds the change on a cloud computer. Anyone with edit access opens the pull request from the session in one click. | Can. A Codex Cloud task returns a diff you can open as a pull request. |
| Gather feedback on the implementation | Can. Anyone on the team can open a live preview link from the web app, Slack, or the iPhone app. The session also shows the agent's screenshots. | Partly. A Codex Cloud task returns changed files and test results for teammates to read in ChatGPT or GitHub. |
| QA the implementation | Can. The QA Checks agent reviews the change against requirements, runs linting and tests, and uses the browser to exercise the feature and take screenshots. | Partly. Tests run in the task's container. Browser tests need Codex on your own computer, using the ChatGPT desktop app or a browser MCP server. |
| Review the code before it merges | Can. Guided Review explains each group of changed files in review order. Reviewers read the diff next to the running app in the session. | Can. Pull requests in GitHub get a Codex review automatically or when someone comments @codex review. The review follows rules you write in AGENTS.md. |
| Deploy and monitor | Partly. Your existing pipeline handles deployment, and agents read production errors through connectors such as Sentry. | Partly. Your existing pipeline handles deployment. The Codex GitHub Action runs Codex inside CI. |
| Use your existing coding agent subscription plan | Can. Connect your existing Claude, ChatGPT, SuperGrok, or Muse Code plan, and the matching harness draws its tokens from that plan. | Partly. You pay with a ChatGPT plan, an OpenAI API key, or OpenAI models billed through Amazon Bedrock or Google Vertex AI. Claude subscriptions are not accepted. |
| Benchmark agents on your own codebase | Can. The built-in benchmark on Superconductor Pro scores Claude Code, Codex, Pi, and other harnesses against pull requests your team picks as best practices. | Cannot. As of November 2026, Codex has no benchmarking available against your pull requests. |
| Task | Superconductor | Codex |
|---|---|---|
| Turn customer email into tracked work | Can. Forward customer email to Superconductor. An agent maps each message to a new or existing ticket and drafts a reply for you to send. | Partly. Codex can read Gmail through a plugin for context when someone asks, but it does not turn incoming email into tracked work. |
| Capture action items from a customer call | Can. The meeting assistant joins an online meeting and turns each action item into a new ticket or a link to an existing one. | Partly. No Codex feature joins calls. OpenAI documents a workflow that turns a Zoom transcript into follow-ups afterwards. |
| Answer a question or produce a report without touching the codebase | Can. An agent answers questions and writes documents from connectors such as Notion, Jira, Sentry, and Gmail. | Can. Besides code, Codex in the ChatGPT desktop app works on documents and spreadsheets. Plugins and MCP servers connect it to other apps. |
| Task | Superconductor | Codex |
|---|---|---|
| Fix a bug even when no engineer is available | Can. File the bug, and an agent starts on the fix. Anyone on the team can check the live preview before the pull request opens. | Partly. Once an admin connects an environment, anyone on ChatGPT Plus or higher can start a fix from Slack or Linear and get a diff back. |
| Work from Slack or Microsoft Teams | Partly. Mention @Superconductor in a Slack channel, and results come back in that thread. As of November 2026, there are no DMs or Microsoft Teams chat. | Partly. An @ChatGPT mention in Slack can start a Codex Cloud task. @ChatGPT in Microsoft Teams has no documented Codex handoff. |
| Work on the go | Can. In the iPhone and iPad app you file tickets, review diffs and live previews, and open pull requests. Android uses the web app, and desktop apps cover macOS and Linux. | Can. The ChatGPT iPhone app starts Codex Cloud tasks and can steer a Codex session on your own Mac or Windows PC. |
| Keep your bill predictable | Partly. You pick a monthly tier of plan credits. Model tokens are billed separately to your own subscriptions or keys. | Partly. At the plan's Codex limit, new work waits for the reset. Plus, Pro, and Business can buy ChatGPT credits or switch to an API key. |
| Decide which agent harness to trust | Can. Run two harnesses on the same ticket and compare the results side by side. | Cannot. A Codex Cloud task can run up to four attempts, with all attempts using the Codex harness. |
| Avoid depending on a single model provider | Can. Agents use Claude, GPT, Gemini, Grok, Meta, and open models. If a provider goes down or raises prices, you choose another model next time. | Partly. A ChatGPT plan covers only OpenAI's models, although the CLI can also run local open models. |
| Replace ChatGPT or Claude as your team's AI assistant | Can. Anyone with access can open a chat with any model and the project's repos, connectors, and skills. Nobody needs a separate chatbot app. | Can. A ChatGPT plan includes Codex. One plan and one desktop app handle chat, office documents, and coding. |
| Task | Superconductor | Codex |
|---|---|---|
| Keep agents inside the network perimeter | Can. On every plan a project can block external access, allow a list of domains, or allow everything. Your own cloud requires Enterprise. | Partly. Setup scripts run with internet access. After setup, a Codex Cloud task stays offline unless its environment allows listed domains or all domains. |
| Pass a security review | Partly. Access is role-based, repositories are scoped per project, and sensitive data is encrypted at rest, as described in the Superconductor security overview. As of November 2026, SOC 2 Type II is in progress. | Can. OpenAI's SOC 2 Type II report covers ChatGPT Business and Enterprise. Codex follows the workspace's access, retention, and residency settings. |
| Use your existing version control and project management systems | Partly. GitHub is the only supported code host. Agents work with Linear through a built-in integration and with Jira through a connector. | Partly. Codex Cloud works with GitHub, and GitLab support is in beta. Linear is built in, and Jira connects through an Atlassian plugin. |
| Deploy and manage company-wide rollouts | Can. Projects have their own credentials, network rules, and connectors inside a workspace. Members are unlimited on the Enterprise plan. | Can. ChatGPT Enterprise has custom roles, SCIM groups, and separate switches for local and cloud Codex. Admins enforce settings with a managed requirements file. |
| Control spend | Partly. Plan credits for compute come from one pool shared across the workspace, and tokens bill to members' plans or shared keys. There are no per-person spend limits. | Partly. Each ChatGPT Business seat has its own usage limit, and the workspace can buy ChatGPT credits past it. Enterprise pricing is set per contract. |
How their capabilities differ
Each capability below is marked Built in, Partial, or Not offered for each product.
| Capability | Superconductor | Codex |
|---|---|---|
| Choose the agent harness per task | Built in. Each ticket can use Claude Code, Codex, Cursor, Pi, or another agent harness. | Not offered. Only Codex's own agent harness is available. |
| Edit the code yourself mid-task | Built in. A terminal into the agent's environment works on the same files the agent changes. You can also pull the branch into any editor. | Built in. Inside VS Code, Cursor, Windsurf, JetBrains, and Xcode, you edit the same files the agent is changing. |
| Run agents on your own computer | Not offered. As of November 2026, agents run only on cloud computers. | Built in. On your machine, the Codex CLI and the ChatGPT desktop app run the agent locally. Codex Cloud runs tasks on OpenAI's machines. |
| Let teammates take part in an agent's session | Built in. Teammates with edit access can message the agent. Claude Code takes messages mid-turn, and other harnesses pick them up after the current step. | Not offered. On a Mac, you can share a read-only snapshot of a local Codex thread with workspace members. Nobody else can continue a shared thread. |
| Start agents automatically from alerts and events | Partial. Automations run on a schedule or when a pull request merges. Alerts from tools such as Sentry do not start Superconductor automations. | Partial. Scheduled tasks in Codex run on a timer. Gmail, Slack, and GitHub event triggers are ChatGPT scheduled tasks on the web. |
What happens when you hand a task to Codex
Codex is OpenAI's coding agent. It runs in the terminal, the major code editors, the ChatGPT desktop app, the web, and the ChatGPT mobile app. The Codex CLI is open source under the Apache-2.0 license.
A Codex Cloud task gets its own container on OpenAI's machines. You can start one from ChatGPT on the web, desktop, or phone, from @ChatGPT in Slack, from Linear or a GitHub comment, or from the Codex CLI. The container checks out your repository and runs the environment's install script. Codex then returns the changed files and test results. You commit them or open a pull request.
What happens when you file a ticket in Superconductor
Superconductor is a multiplayer AI platform where work starts from a ticket. You write a prompt and choose one or more agent harnesses and a model. The harnesses to choose from are Claude Code, Codex, Cursor, Factory Droid, Grok Build, Muse Code, Amp, OpenCode, and Pi. Each agent works on a dedicated cloud computer that runs your whole app.
Each agent run gets its own session. The session shows the agent's chat, diff, live app preview, any recorded screenshots or videos, and a terminal into the environment side by side. As of November 2026, Superconductor has no bundled editor. Engineers pull the branch into the editors they already use, and anyone with edit access opens the pull request on GitHub from the session.
Support for work beyond code
The Superconductor meeting assistant files new tickets or links existing ones as people speak during a Zoom, Google Meet, or Microsoft Teams call.
OpenAI markets Codex to analysts, marketers, and designers as well as developers. People bring requests from a meeting or an inbox to Codex through ChatGPT. Most tasks and their results are kept in the requester's own ChatGPT account.
Where you'll end up reviewing the work
In Codex, the person who started the task reviews the result in ChatGPT or their editor. Teammates see the change as a pull request in GitHub. As of November 2026, Codex Cloud environments cannot open a browser.
In Superconductor the whole team reviews in one multiplayer session. Teammates see the diff, the running app, and the Guided Review and QA Checks results in that session without pulling a branch.
Model choice and who pays for tokens
Codex lets you pick an OpenAI model and a reasoning level for each task. As of November 2026, OpenAI recommends GPT-6.1 Sol, GPT-6 Astra, GPT-6.1 Terra, and GPT-6 Luna. GPT-6.1 Sol is first in the Codex CLI's model list. A ChatGPT plan covers that usage up to the plan's limits, and with an OpenAI API key you pay per token instead. The CLI can also call OpenAI models through Amazon Bedrock or Google Vertex AI and run local models through Ollama or LM Studio.
In Superconductor, tokens come from the Claude, ChatGPT, SuperGrok, or Muse Code plans or the API keys you already have, or from workspace credits that Superconductor grants on request.
Security, compliance, and integrations
On your own computer, the Codex CLI and the ChatGPT desktop app run the agent's commands in a sandbox by default. Network access is off until you allow it.
Each Superconductor project can block outbound network access, allow a list of domains, or allow everything, and an agent sets up the project's environment. Connecting GitHub may need a GitHub organization admin to approve the app. Agents use other tools through the built-in Linear integration and connectors for Notion, Jira, Sentry, Gmail, and custom MCP servers.
Superconductor vs Codex pricing (ChatGPT plans vs Superconductor credits)
Superconductor
Superconductor charges for compute in plan credits that the whole workspace shares. There is no per-seat price. In Superconductor, 100 credits buy one cloud computer hour on a 1 vCPU / 2 GB machine. Larger machines use credits in proportion to their size. Superconductor bills usage per second. The meter stops while a computer is idle. Model tokens come from your own Claude, ChatGPT, SuperGrok, or Muse Code plan, or from API keys for Anthropic, OpenAI, Cursor, OpenRouter, and others. Plan credits pay for the cloud computers only. Workspace credits, which Superconductor grants on request to teams without a plan or API key, can also pay for model tokens.
- Free. 20,000 credits to start. Connecting Slack and inviting teammates adds bonus credits. Up to 4 vCPU / 8 GB RAM, 4 team members, 4 concurrent agents. Start here
- Pro, from $50 a month. 20,000 to 400,000 credits a month ($50 to $1,000), up to 8 vCPU / 32 GB RAM, 40 team members, unlimited concurrent agents, and the benchmark on your own pull requests. Usage past the monthly credits is $25 per 10,000 credits, and unused credits roll over for one month.
- Enterprise, custom. Unlimited credits, up to 16 vCPU / 64 GB RAM, unlimited members, private infrastructure, SLAs, dedicated support.
Superconductor pricing figures match the pricing page as checked on November 3, 2026.
Codex
OpenAI includes Codex in ChatGPT plans with usage limits. On Plus, Pro, and Business, ChatGPT credits pay for usage past them. A ChatGPT plan's Codex allowance depends on the plan and the model. As of November 2026, the Plus allowance resets every five hours and weekly limits can also apply, while ChatGPT Pro plans have no five-hour limit. Codex shares the allowance with ChatGPT Work, OpenAI's agent for documents and other multistep work. Developers who would rather pay per token sign in with an OpenAI API key.
- Free. Codex in the ChatGPT desktop app with GPT-6 Luna and a small allowance. No CLI, IDE extension, or Codex Cloud.
- Go, $8 a month. The same desktop-app access as Free.
- Plus, $20 a month. Adds the Codex CLI, IDE extension, Codex Cloud, automatic GitHub code review, and Slack.
- Pro, from $100 a month. Tiers at $100, $200, and $500 a month with larger allowances.
- Business, $25 per user a month. $20 per user a month billed annually. Adds a shared workspace, admin controls, and ChatGPT credits for usage past each seat's limit.
- Enterprise, custom. SCIM, role-based access control, data residency, and Compliance API audit logs.
Codex pricing figures come from OpenAI's Codex pricing page as checked on November 3, 2026. Current pricing is available at learn.chatgpt.com/docs/pricing.
When it makes sense to use both
If your team wants to use Codex on their own computers and review Codex ticket work together in Superconductor. Superconductor runs the Codex CLI on its own cloud computers as one of its agent harnesses and does not import tasks from Codex Cloud. Teammates with edit access pick the Codex harness on a ticket, and the run appears next to any Claude Code run on that ticket. Guided Review, QA Checks, and the live preview are available on the Codex run. Codex's pull request reviews continue in GitHub, and its automations are still set up in ChatGPT.
Which one should I choose?
Choose by who needs to check agent work before it merges: the developer who started the task, plus teammates in GitHub (Codex), or anyone on the team, including non-technical staff, in a shared session (Superconductor).
Go with Superconductor if
- You want to pick the agent harness per ticket and use your existing Claude, ChatGPT, SuperGrok, or Muse Code plans.
- You want product managers, designers, and support staff to check the running app before a change merges.
- You want the QA Checks agent to compare each change with the original request before anyone reviews it.
Go with Codex if
- Your team already pays for ChatGPT and wants one OpenAI plan to cover chat, documents, and coding.
- Your developers want to run the agent on their own computers, from an open-source CLI or their editor.
- Your security review requires a vendor with a completed SOC 2 Type II report, which OpenAI has for ChatGPT Business and Enterprise as of November 2026.
Frequently asked questions
Is Codex better than Superconductor?
Neither is better; they do different jobs. Codex is OpenAI's coding agent for the terminal, the editor, and the ChatGPT apps, paid for by a ChatGPT plan or an API key. Superconductor is a multiplayer AI platform where you pick the agent harness per ticket, including Codex, and use tokens from plans you already hold. Technical and non-technical members review together in one shared session.
Is Codex just for developers?
Codex is built for developers, and OpenAI also markets it to analysts, marketers, and designers. Each person works in their own ChatGPT account and shares results through links or pull requests. Superconductor is built for whole teams of engineers and non-technical users. Anyone on the team can write tickets and check the running app before anything merges.
Does Superconductor work with Codex?
Yes. Codex is one of the agent harnesses you can pick for a Superconductor ticket. You can use a ChatGPT Plus or higher plan, an OpenAI API key, or workspace credits to pay for tokens. The credits in your Superconductor plan pay for the cloud computer.
How does ChatGPT plan pricing for Codex compare with Superconductor's?
As of November 3, 2026, Codex comes with ChatGPT Plus from $20 a month, and Superconductor Pro starts at $50 a month for the whole workspace. In Superconductor, 100 credits buy one hour on a 1 vCPU / 2 GB cloud computer. A ChatGPT plan pays for both tokens and OpenAI's containers, while Superconductor plan credits cover only cloud computers, so one ChatGPT Plus or higher plan can pay for Codex's tokens in both products.
Can I use Claude models in Codex?
No. As of November 2026, OpenAI documents no Claude support in Codex, and a ChatGPT plan covers only OpenAI's models. In Superconductor, Claude Code and Codex are separate harnesses. One ticket can run Claude in Claude Code next to GPT in Codex.
What are the Codex alternatives for teams?
Claude Code, Cursor, Devin, and Factory Droid are alternatives, and each runs its own agent in its own app. As of November 2026, Superconductor is a multiplayer AI platform where you pick Codex, Claude Code, or one of seven other harnesses for each ticket, and agents run on cloud computers. Codex suits developers who want OpenAI's agent in the terminal, the editor, and the ChatGPT apps under one ChatGPT plan.
How much does Codex cost in 2026?
As of November 3, 2026, ChatGPT Free and Go ($8 a month) include Codex only in the ChatGPT desktop app and give it a small allowance. ChatGPT Plus ($20 a month) and ChatGPT Pro ($100, $200, or $500 a month) add the Codex CLI and Codex Cloud. ChatGPT Business costs $25 per user a month, or $20 billed annually, and Enterprise is priced on request.
Superconductor publishes this page and is one of the two products compared. Facts are from each vendor's public pages as of the dates listed in the Sources section.
Sources (39)
Codex's facts come from OpenAI's Codex documentation and the open-source Codex repository on GitHub, checked November 3, 2026. Plan details come from OpenAI's pricing and help pages. Superconductor's facts come from its pricing page and documentation, checked the same day.
- Codex docs: Pricing (checked November 3, 2026)
- Codex docs: Models (checked November 3, 2026)
- Codex (checked November 3, 2026)
- openai/codex on GitHub (README, license, model catalog, and release notes) (checked November 3, 2026)
- Codex docs: IDE extension (checked November 3, 2026)
- Codex docs: Codex Cloud (checked November 3, 2026)
- Codex docs: Cloud environments (checked November 3, 2026)
- Codex docs: Codex on mobile (checked November 3, 2026)
- Codex docs: Slack coding tasks (checked November 3, 2026)
- Codex docs: Use Codex in Linear (checked November 3, 2026)
- Codex docs: Plugins (checked November 3, 2026)
- Codex docs: GitHub (checked November 3, 2026)
- Codex docs: GitLab (checked November 3, 2026)
- Codex docs: GitHub Action (checked November 3, 2026)
- Codex docs: Internet access for cloud tasks (checked November 3, 2026)
- Codex docs: Automations (checked November 3, 2026)
- Codex docs: Slack (checked November 3, 2026)
- Codex docs: Agent approvals and security (checked November 3, 2026)
- Codex docs: Admin rollout guide (checked November 3, 2026)
- Codex docs: Sharing Codex threads (checked November 3, 2026)
- Codex docs: Turn meetings into follow-ups (checked November 3, 2026)
- OpenAI: Codex for every role, tool, and workflow (checked November 3, 2026)
- OpenAI: Enterprise privacy (checked November 3, 2026)
- Superconductor docs: Codex agent harness (checked November 3, 2026)
- Superconductor pricing (checked November 3, 2026)
- Superconductor docs: Agent credentials (checked November 3, 2026)
- Superconductor docs: Security (checked November 3, 2026)
- Superconductor docs: Slack integration (checked November 3, 2026)
- Superconductor docs: Network sandboxing (checked November 3, 2026)
- Superconductor docs: Email triage (checked November 3, 2026)
- Superconductor docs: Meeting assistant (checked November 3, 2026)
- Superconductor docs: Workspace credits (checked November 3, 2026)
- Superconductor docs: Chat with a running agent (checked November 3, 2026)
- Superconductor docs: Live preview (checked November 3, 2026)
- Superconductor docs: QA Checks (checked November 3, 2026)
- Superconductor docs: Guided Review (checked November 3, 2026)
- Superconductor docs: Benchmark (checked November 3, 2026)
- Superconductor docs: Mobile apps (checked November 3, 2026)
- Superconductor docs: Linear integration (checked November 3, 2026)
Products and prices change. If something here is wrong or out of date, email team@superconductor.com and we will correct it.