GitHub Copilot vs Cursor vs Claude Code vs OpenAI Codex: AI Coding Assistants for the Enterprise
Engineering teams are among the heaviest users of AI in most organisations, and the four tools on most shortlists are converging fast. They use many of the same models, they all now run agents that write and change code on their own, and they all charge a seat price plus usage. So the decision is less about which writes the best code today and more about cost control, governance and where your code goes. Here is the honest comparison.
Pick on governance, cost model and fit with your platform, not on this month's benchmark. GitHub Copilot fits organisations already on GitHub and can now hand work to other vendors' agents. Cursor is an AI first editor popular with developers. Claude Code comes with Anthropic's business plans and can also be run and billed through AWS, Google Cloud or Azure. OpenAI Codex comes with ChatGPT Business and Enterprise. All four now combine a seat price with usage charges, so the real cost is set by how hard your developers and their agents use them.
C4C is an independent technology consultancy that helps organisations buy and govern AI without overpaying. We spent years on the vendor side building software quotes, so we know how seat and usage pricing is put together and where the room is. Send us your situation and we will give you a straight view.
They are converging, so choose on different things
A year ago these were distinct products with distinct models. Now they overlap heavily. GitHub's own plan page says Copilot Enterprise can delegate tasks to third party coding agents, naming Anthropic's Claude and OpenAI's Codex. GitHub, Copilot plans. Claude Code can run through Amazon Bedrock, Google Cloud and Microsoft Foundry as well as Anthropic's own plans. Anthropic, Claude Code enterprise deployment. The model behind the tool matters less than it did. What separates them now is how they are bought, how usage is metered, what controls an administrator has, and where code and prompts are processed.
How they compare
| GitHub Copilot | Cursor | Claude Code | OpenAI Codex | |
|---|---|---|---|---|
| What it is | Assistant and coding agent built into GitHub and popular editors | AI first code editor with cloud agents | Agentic coding tool for the terminal, editors, web and desktop | Coding agent across the CLI, editor extension, cloud and ChatGPT apps |
| How it is bought | Business and Enterprise plans per user, with a monthly allowance of AI credits | Teams at 40 dollars per user per month; Enterprise quoted | Included in Claude Team and Enterprise, or pay as you go through a cloud provider | Included in ChatGPT Business and Enterprise |
| Usage beyond the seat | Credits beyond the allowance are charged; pooled across the organisation on Enterprise | On demand usage billed in arrears; pooled on Enterprise | Enterprise adds usage at API rates; cloud routes bill per use | Extend limits with ChatGPT credits; faster modes use more |
| Data commitment | Business and Enterprise data not used for training | Privacy mode: code not used for training by Cursor or its model providers | Not used for training by default on business plans | Business data not used for training by default |
| Strongest when | Your code and workflow already live on GitHub | Developers want an AI first editor | You want agentic coding billed and governed through your own cloud | You already run ChatGPT Business or Enterprise |
Sources: GitHub, Copilot plans; Cursor, pricing; Anthropic, Claude Code enterprise deployment; Anthropic, Claude plans and pricing; OpenAI, ChatGPT and Codex pricing.
The honest read on each
GitHub Copilot
For organisations whose code already lives on GitHub, Copilot is the path of least resistance: it sits inside pull requests, issues and the editors developers use, and its coding agent can take an issue and open a pull request. It offers models from several providers, and GitHub states that Business and Enterprise data is not used to train its models. Pricing combines a per user plan with a monthly allowance of AI credits, pooled across the organisation on Enterprise, with usage beyond it charged. Copilot Enterprise also assumes GitHub Enterprise Cloud, which belongs in the cost comparison. GitHub, Copilot plans.
Cursor
Cursor is an editor built around AI, which many developers prefer to adding AI to an existing editor. The Teams plan is published at 40 dollars per user per month with single sign on and a team wide privacy mode, under which code is not used for training by Cursor or its model providers. Every plan includes a set amount of model usage, with on demand usage beyond it billed in arrears, and Enterprise adds pooled usage, SCIM provisioning, audit logs and controls over which models and MCP servers developers can use. Cursor, pricing. Its strength is developer experience; check that the enterprise controls meet your security team's bar.
Claude Code
Claude Code is Anthropic's agentic coding tool, used from the terminal, editors, the web and a desktop app. It is included in Claude Team and Enterprise plans, and Enterprise combines a seat fee with usage at API rates. It can also be deployed through Amazon Bedrock, Google Cloud or Microsoft Foundry, billed through that cloud and governed with its identity and audit tooling, and administrators can set managed permissions that developers cannot override. Anthropic, Claude Code enterprise deployment; Anthropic, Claude plans and pricing. Anthropic does not train on business plan data by default. The cloud routes suit organisations that want spend and data inside an existing cloud agreement.
OpenAI Codex
Codex is OpenAI's coding agent, available through a command line tool, an editor extension, cloud tasks and the ChatGPT apps. It is included in ChatGPT Business, published at 20 dollars per user per month on annual billing, and in Enterprise, with usage limits that can be extended with ChatGPT credits and faster modes consuming more of them. Enterprise adds SCIM provisioning and enterprise key management, and the command line tool and editor extension can also run on an OpenAI API key, billed by usage. OpenAI, ChatGPT and Codex pricing. For organisations already standardised on ChatGPT, it can add coding capability without a new vendor.
A coding agent can run commands, change files and open pull requests on its own. Before rollout, decide what agents may do without approval, keep secrets out of their reach, require human review before merge, and log what they do. The same principles apply as for any agent reaching your systems, covered in our guide to governing what AI agents can reach.
Where the cost goes
Seat prices look modest. The variable part is usage: agents that run long tasks, retry, or use the most capable models consume far more than a developer asking occasional questions, and every one of these four tools now charges for usage beyond an allowance. Set budgets per team, review the heaviest users monthly, and decide which tasks justify the most expensive models. If developers want more than one tool, license the second for the people who use it, not the whole department. Our guide to AI agent pricing covers the same consumption traps in business applications.
How they are bought, and what to weigh
- Seat plus usage, not seat alone. Ask for the overage rate, whether allowances pool across the organisation, and what alerts and caps exist.
- Pilot with real work. Measure accepted changes, review time and usage cost per developer on your own codebase before committing.
- Data location. Check where code and prompts are processed, especially for regulated code; our guide to UK AI data residency covers the principle.
- Indemnity and terms. Check what intellectual property protection each vendor offers on generated code and under which conditions.
Our position
We do not resell these tools. Our job is to help you choose the one that fits your platform and controls, size it on evidence, and buy it on terms that keep usage costs predictable.
Choosing an AI coding assistant?
Tell us how many developers, which platforms you run and any quotes you have. We will tell you which tool fits, how to keep usage costs predictable, and which terms to push for. We spent years on the vendor side building quotes like these.
Prefer email? Reach us directly at hello@c4cgroup.co.uk.
Frequently asked questions
Which AI coding assistant is best for enterprises?
It depends on your platform and controls more than on the model. GitHub Copilot fits organisations already on GitHub. Cursor suits developers who want an AI first editor. Claude Code suits organisations that want agentic coding billed and governed through their own cloud. OpenAI Codex suits organisations already on ChatGPT Business or Enterprise. Pilot on your own codebase before choosing.
Is OpenAI Codex included in ChatGPT Enterprise?
Yes. OpenAI includes Codex in ChatGPT Business and Enterprise, as well as other ChatGPT plans, with usage limits that can be extended with ChatGPT credits. Enterprise adds SCIM provisioning and enterprise key management.
Can Claude Code run through AWS, Google Cloud or Azure?
Yes. As well as Anthropic's Team and Enterprise plans, Claude Code can be deployed through Amazon Bedrock, Google Cloud and Microsoft Foundry, billed pay as you go through that cloud and governed with its identity and audit tools.
Do AI coding assistants train on our code?
Each of the four commits not to on its business plans. GitHub says Copilot Business and Enterprise data is not used to train its models. Cursor's privacy mode stops code being used for training by Cursor or its model providers. Anthropic and OpenAI do not train on business data by default. Confirm the terms in your contract.
Why do AI coding costs vary so much between developers?
Because all four tools now charge for usage beyond a seat allowance, and agents running long tasks or using the most capable models consume far more than occasional questions. Set budgets per team, review the heaviest usage monthly, and choose which tasks justify the most expensive models.