OpenAI says Codex now serves more than 4 million weekly developers, up from more than 3 million just two weeks earlier, while usage across teams has grown 6x since January and 10x since August. That makes Codex one of the fastest-scaling AI coding products in public view. 

Codex is OpenAI’s cloud-based software engineering agent, built to handle tasks such as feature writing, bug fixing, refactors, and pull requests across sandboxes and developer workflows. 

Codex is part of a broader wave of AI developer tools reshaping how software is built. If you’re exploring this space, see our breakdown of AI coding statistics and adoption trends.

This article looks at Codex users, adoption, pricing, enterprise traction, benchmark performance, competitive context, and the broader market for AI coding tools. 

Codex AI Statistics 2026: Key Insights & Takeaways

  • Codex reached more than 4 million weekly developers by April 21, 2026, after crossing more than 3 million only two weeks earlier.
  • OpenAI said Codex usage was up 10x since August in its Nov. 2025 business update. 
  • Within ChatGPT Business and Enterprise, Codex users had grown 6x since January by April 2026.
  • OpenAI said more than 2 million builders were using Codex every week in early April 2026.
  • OpenAI’s broader developer platform has 4 million developers and processes 6 billion tokens per minute, which frames Codex inside a much larger ecosystem.
  • OpenAI said it had more than 1 million business customers in Nov. 2025, giving Codex a large enterprise distribution base.

Codex AI Statistics 2026 at a glance

MetricFigure
Weekly Codex users4M+
Weekly Codex users earlier in April3M+
Codex usage growth since August10x
Codex users in ChatGPT Business/Enterprise6x growth since January
Builders using Codex weekly2M+
Codex pricing on Free plan$0/month
Codex pricing on Plus$20/month
Codex pricing on Profrom $100/month
OpenAI developers4M
OpenAI API throughput6B tokens/minute

Codex AI Statistics: Deep Dive

1. Codex AI Statistics 2026: User Statistics

Codex’s public user story is unusually transparent for a coding product, but it is still measured in platform-level usage rather than a traditional consumer MAU figure. 

The strongest disclosed number is 4 million weekly developers, which OpenAI shared on April 21, 2026. Two weeks earlier, the company said the figure was more than 3 million, indicating rapid short-cycle growth. 

OpenAI also published an earlier milestone in March 2026: Codex was serving more than 2 million weekly users, up 5x in the prior three months and growing more than 70% month over month.

 Taken together, those three disclosures suggest that Codex moved from early adoption to mass developer reach in a matter of months. 

DatePublic Codex usage figure
Mar. 31, 20262M+ weekly users
Early Apr. 20263M+ weekly developers
Apr. 21, 20264M+ weekly developers

A second useful user signal is plan-level accessibility. As of April 2026, Codex is included in Free, Go, Plus, Pro, Business, Edu, and Enterprise plans, with the Free plan starting at $0/month and the Plus plan at $20/month

That matters because a lower entry price tends to broaden the top of the funnel for a developer tool. 

2. Codex AI Statistics 2026: Usage & Adoption Statistics

OpenAI’s most concrete adoption signal is the speed at which Codex is moving inside companies. In April 2026, the company said Codex had grown 6x since January within ChatGPT Business and Enterprise, and that more than 2 million builders were using it every week. 

The enterprise report adds a useful behavior pattern: among ChatGPT Enterprise users, coding-related messages outside engineering, IT, and research rose 36% over the past six months. 

OpenAI also said the most active users send 17x as many coding messages as the median worker, and that users who work across roughly 7 task types report 5x more time saved than those using about 4.

Those numbers suggest Codex is part of a wider shift from isolated coding help to multi-workflow agent use. 

Usage signalFigureWhy it matters
Codex users in Business/Enterprise6x since JanuaryShows acceleration inside teams 
Weekly builders using Codex2M+Indicates broad weekly engagement 
Coding-related messages outside engineering/IT/research+36%Suggests wider organizational use 
Frontier vs median coding messages17xShows heavy-use intensity among power users 
Time savings across about 7 vs 4 task types5x more time savedBreadth of use tracks ROI 

Codex’s enterprise case studies also show practical adoption metrics. OpenAI says Cisco used Codex to cut code review times by 50% and shrink project timelines from weeks to days.

3. Codex AI Statistics 2026: Demographics Statistics

In a Stack Overflow’s 2025 survey, 84% of respondents were using or planning to use AI tools in their development process, and 51% of professional developers used AI tools daily.

That same survey shows a clear experience gradient: 55.5% of early-career developers use AI tools daily, versus 47.3% of experienced developers. The age-adjacent learning segment is also active; Stack Overflow’s 2025 survey press release said 53% of developers learning to code for AI used AI tools.

JetBrains provides a second public proxy. Its 2025 developer ecosystem survey included 24,534 developers, and JetBrains’ separate 2025 research summary said 85% of developers regularly use AI tools for coding, development and quality assurance, while 62% rely on at least one AI coding assistant, agent, or code editor. 

Proxy audience metricFigure
Stack Overflow survey responses33,662 total respondents
Professional developers using AI daily51%
Early-career developers using AI daily55.5%
JetBrains survey sample24,534 developers
Developers regularly using AI tools85%
Developers relying on an AI coding assistant62%

4. Codex AI Statistics 2026: Revenue & Financial Statistics

Codex is available on the Free plan at $0/month, Go at $8/month, Plus at $20/month, and Pro from $100/month

For teams, OpenAI said Codex now offers pay-as-you-go pricing with no fixed monthly costs for eligible Business workspaces, and that Codex-only seats are billed on token consumption instead of a fixed seat fee. 

At the company level, OpenAI said revenue reached $20B+ ARR in 2025 and $2B in revenue per month by March 2026, while enterprise accounted for more than 40% of revenue in 2026. For more OpenAI statistics, check out our blog →

Financial metricFigure
Codex Free plan$0/month
Codex Go plan$8/month
Codex Plus plan$20/month
Codex Pro planfrom $100/month
OpenAI ARR in 2025$20B+
OpenAI revenue per month in 2026$2B
Enterprise share of revenue40%+

5. Codex AI Statistics 2026: Enterprise Adoption Statistics

OpenAI’s enterprise disclosures are strong enough to show that Codex is not just a consumer-style coding assistant. 

In November 2025, OpenAI said it had more than 1 million business customers worldwide, more than 7 million ChatGPT for Work seats, and ChatGPT Enterprise seats up 9x year over year. Codex sits inside that business distribution base. 

Codex is already showing enterprise-specific behavior. OpenAI said more than 9 million paying business users rely on ChatGPT for work and more than 2 million builders use Codex every week, while Codex users inside ChatGPT Business and Enterprise grew 6x since January

OpenAI’s April 2026 enterprise report also shows where coding and developer tools fit inside organizations. In finance, coding and developer tools ranked second among AI use cases; in technology, they ranked third behind in-app assistants/search and agentic workflow automation. 

That pattern suggests Codex is already embedded in real workflow budgets rather than remaining a side experiment. 

Enterprise metricFigure
Business customers using OpenAI1M+
ChatGPT for Work seats7M+
Codex weekly builders2M+
Codex users in Business/Enterprise6x since January
ChatGPT Enterprise seats9x YoY

6. Codex AI Statistics 2026: Market Share & Competitive Statistics

Microsoft said GitHub Copilot had 20 million users in July 2025, and GitHub later said it had 20 million-plus developers across IDEs, the command line, and pull requests.(See our full GitHub Copilot statistics breakdown)

GitHub also said Copilot had more than 3 billion code suggestions accepted to date, contributes 1.2 million pull requests per month, and is used by 90% of the Fortune 100

Those numbers help explain why Copilot still appears larger in public user count than Codex, even though Codex is growing quickly. 

PlatformPublic user figureOther public scale metric
Codex4M+ weekly developers10x usage growth since August
GitHub Copilot20M users1.2M PRs/month

The competitive picture is also shifting toward agents. Microsoft’s FY2025 call said GitHub Copilot is moving into agent mode and coding-agent workflows, while OpenAI’s Codex is now positioned as a cloud-based engineering agent that can work in parallel and across toolchains. 

That means the competition is no longer just autocomplete versus autocomplete; it is agentic workflow versus agentic workflow. 

7. Codex AI Statistics 2026: Developer / API / Platform Statistics

Codex sits inside a much larger OpenAI developer platform. OpenAI said 4 million developers have built with OpenAI, 800 million+ weekly ChatGPT users were on the platform, and the API handled 6 billion tokens per minute at DevDay 2025. 

Codex’s model-level performance is also publicly measurable. In February 2026, OpenAI said GPT-5.3-Codex was 25% faster than before and scored 56.8% on SWE-Bench Pro, 77.3% on Terminal-Bench 2.0, and 64.7% on OSWorld-Verified. 

Platform / model metricFigure
Developers building with OpenAI4M
Weekly ChatGPT users800M+
API throughput6B tokens/min
GPT-5.3-Codex speed gain25% faster
SWE-Bench Pro56.8%
Terminal-Bench 2.077.3%
OSWorld-Verified64.7%

Those benchmark numbers also show steady improvement over earlier models. GPT-5.3-Codex beat GPT-5.2-Codex on SWE-Bench Pro (56.8% vs. 56.4%), Terminal-Bench 2.0 (77.3% vs. 64.0%), and OSWorld-Verified (64.7% vs. 38.2%). 

8. Codex AI Statistics 2026: Regional / Geographic Statistics

OpenA’s enterprise AI report gives a strong proxy for where usage is rising fastest. Among large markets, Australia, Brazil, the Netherlands, and France posted more than 143% year-over-year growth in business customers. 

OpenAI also said the United States, Germany, and Japan were among the most active markets by business message volume, while the United Kingdom and Germany ranked among the largest ChatGPT Enterprise markets outside the U.S. by customer count. 

International API customer growth exceeded 70% over the last 6 months, and Japan had the largest number of corporate API customers outside the U.S. 

GitHub’s own developer map shows why this matters for Codex. India added more than 5.2 million developers in 2025, accounting for a little over 14% of GitHub’s 36 million new developers that year, and now has 21.9 million developers on the platform. 

That makes Asia and other high-growth markets important for any AI coding tool trying to scale globally. 

Geography metricFigure
Fastest-growing business customer markets143%+ YoY in Australia, Brazil, Netherlands, France
Most active markets by message volumeU.S., Germany, Japan
Largest Enterprise markets outside the U.S.U.K., Germany
International API customer growth70%+ over 6 months
Largest corporate API market outside U.S.Japan
India’s new GitHub developers in 20255.2M+

The broader market for AI coding assistants is still expanding quickly. Grand View Research estimates the AI code assistants market at $8.51 billion in 2025, rising to $42.90 billion by 2033 at a 22.5% CAGR from 2026 to 2033.

Developer behavior supports that forecast. In Stack Overflow’s 2025 survey, 84% of respondents were using or planning to use AI tools, and 51% of professional developers used them daily. JetBrains found 85% of developers regularly using AI tools (like AI code review agents) and 62% relying on at least one coding assistant, agent, or AI editor.

The market is also moving from “code completion” toward “agentic software work.” OpenAI’s own Codex messaging now emphasizes feature writing, review, refactors, sandboxes, CLI use, IDE extensions, code review, and parallel tasks. 

That is a clear sign that the category is converging on end-to-end software delivery, not just line-level suggestions. 

Conclusion

Codex moved from launch to scale with unusual speed: 4 million weekly developers, 10x usage growth since August, and 6x growth inside Business and Enterprise since January.

Its latest model also posts 56.8% on SWE-Bench Pro and 77.3% on Terminal-Bench 2.0, which helps explain why adoption has accelerated so quickly. 

The larger takeaway is that AI coding has become a high-volume, enterprise-grade market. With OpenAI’s business base at 1 million+ customers, GitHub Copilot at 20 million users, and the broader AI code assistants market estimated at $8.51 billion in 2025, Codex is competing in a category that is still expanding fast and moving toward agentic workflows.

FAQ’s

 

Q: How many users does Codex AI have in 2026?

OpenAI reported that Codex reached more than 4 million weekly developers by April 21, 2026, up from over 3 million just two weeks earlier. Earlier in March 2026, Codex had more than 2 million weekly users.

 

Q: How fast is Codex growing?

Growth has been rapid. OpenAI stated that Codex usage increased 10× since August, and usage within ChatGPT Business and Enterprise environments grew 6× since January.

 

Q: What does Codex cost?

Codex pricing includes a Free tier at $0/month, Go at $8/month, Plus at $20/month, and Pro starting at $100/month. Teams can also use pay-as-you-go pricing with token-based billing.

 

Q: What are Codex’s best public performance stats?

GPT-5.3-Codex achieved 56.8% on SWE-Bench Pro, 77.3% on Terminal-Bench 2.0, and 64.7% on OSWorld-Verified. It also runs approximately 25% faster than the previous version.

 

Q: Who uses Codex the most?

Enterprise usage is strongest in coding-intensive industries such as technology, finance, and professional services. OpenAI also reported that coding-related messages outside engineering, IT, and research grew by 36% over six months, indicating broader adoption beyond core developer roles.

 

Q: How does Codex compare with GitHub Copilot?

Codex has over 4 million weekly developers based on OpenAI disclosures, while GitHub Copilot reported 20 million users and 1.2 million pull requests per month in Microsoft’s FY2025 update. Both products are evolving toward agentic coding workflows.

 

Q: Is there public data on Codex demographics?

OpenAI has not published Codex-specific demographic data such as age or gender. The closest proxy comes from broader developer surveys, which indicate that 51% of professional developers use AI tools daily and 55.5% of early-career developers do so.