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OpenAI and Anthropic both develop frontier AI and sell software assistants, but they embed their public-benefit aims in different governance structures. OpenAI’s nonprofit Foundation controls its commercial public benefit corporation (PBC); Anthropic is itself a PBC and says its Long-Term Benefit Trust shares authority over board elections. Their products overlap in everyday assistance and work tasks, but available vendor descriptions do not establish a neutral performance winner. Public financial figures also do not support a like-for-like revenue comparison.
How do OpenAI and Anthropic compare?
The clearest differences are who controls each commercial business, how the companies describe their public-benefit commitments, and the work their AI products are designed to support. OpenAI uses a nonprofit parent to control a PBC subsidiary. Anthropic says its stockholders and an independent Long-Term Benefit Trust participate in electing its board. Both sell AI software, but the available public financial figures and product descriptions cannot establish which company is more profitable or which assistant performs better overall.
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| Comparison | OpenAI | Anthropic |
|---|---|---|
| Commercial organization | OpenAI Group PBC, controlled by the OpenAI Foundation, a nonprofit parent. OpenAI’s structure description | Anthropic describes itself as a public benefit corporation. Anthropic’s company page |
| Governance mechanism described by the company | The Foundation says it appoints all Group directors and can replace them at any time, using special voting and governance rights. | Anthropic says stockholders and its Long-Term Benefit Trust elect the board; the Trust has authority to elect, and over time appoint, a majority. |
| Public-benefit funding or equity plan | At recapitalization close, the Foundation reported a 26% equity stake valued at approximately $130 billion, plus a warrant that could provide more equity if a valuation milestone is met. It also stated an initial $25 billion commitment across health and AI resilience. | Anthropic announced a proposed 5% share commitment to a wholly owned Public Benefit Fund, subject to stockholder approval. Further potential allocations and fund details were not fully specified. |
| Documented software products | ChatGPT for questions, learning, everyday help, web search, image generation and decision support; ChatGPT Work for creating and editing work artifacts; Codex for technical coding work. | Claude is presented as an assistant for gathering information, drafting, producing work artifacts and supporting team workflows. |
| Comparable standalone financial evidence | Not established in the public material covered here. | Not established in the public material covered here. |
The comparison is about documented structures and product positioning, not proof that either company’s mission has been achieved. A PBC’s stated purpose, a company’s account of its governance, and evidence of real-world outcomes are different things. The distinction matters when evaluating both organizational commitments and AI safety claims.
Who controls OpenAI?
OpenAI says its nonprofit Foundation controls OpenAI Group PBC through special voting and governance rights, appoints all Group directors, and can replace directors at any time. The Foundation also holds conventional equity in the Group. OpenAI’s structure page and its recapitalization announcement describe the arrangement.
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OpenAI says it began as a nonprofit in 2015 and created a for-profit subsidiary in 2019. In a recapitalization announced on October 28, 2025, the nonprofit became the OpenAI Foundation and the commercial entity became OpenAI Group PBC. In other words, the Foundation is not simply a shareholder: OpenAI says it retains control of the commercial PBC through governance rights as well as holding equity.
What does the Foundation’s stake represent?
At the close of the recapitalization, OpenAI reported that the Foundation held 26% of OpenAI Group, which it valued at approximately $130 billion. These are OpenAI’s reported figures; the reviewed material does not provide an independently audited valuation of that stake. OpenAI also said the Foundation received a warrant that could provide additional equity if a valuation milestone is met. The warrant is contingent, so it should not be counted as already-issued ownership.
OpenAI described an initial $25 billion Foundation commitment across health and curing disease, and technical solutions for AI resilience. The announcement presents this as an initial commitment and focus, not as a completed expenditure. OpenAI also says a Foundation Safety and Security Committee continues to govern safety and security practices across the company. These are the company’s descriptions of its structure and plans, not independent evidence of their impact.
How does Anthropic’s Long-Term Benefit Trust work?
Anthropic says its board is elected by stockholders and the Long-Term Benefit Trust (LTBT). Its Transparency Hub describes the LTBT as an independent body of financially disinterested trustees with authority to elect, and over time appoint, a majority of the board. This is Anthropic’s account of its governance design; the existence of the Trust alone does not establish any particular safety result. Anthropic’s company page and Transparency Hub explain the arrangement.
The key contrast with OpenAI is structural. OpenAI describes a nonprofit parent that controls a commercial PBC and appoints its directors. Anthropic describes a PBC whose board-election process includes both stockholders and a separate Trust with a stated long-term public-benefit role. Neither description, by itself, demonstrates how a board will resolve a future conflict between commercial interests and public benefit.
What is Anthropic’s proposed Public Benefit Fund?
On October 18, 2026, Anthropic announced a plan, subject to stockholder approval, to commit 5% of its shares to a newly created, wholly owned Anthropic Public Benefit Fund. The company said an additional 2% could be added at the board’s discretion for every 50% increase in company value above a set baseline. Anthropic said fuller information about the fund’s structure and governance would come in the coming months. The announcement describes the LLC as a flexible vehicle for possible donations or direct distributions, and says its equity would not be used for lobbying or political giving.
Those terms describe an announced, conditional plan—not a completed share transfer or a fully specified operating fund. The proposed percentages refer to shares, not a stated share of annual revenue or profit. The company’s announcement also leaves important implementation details for later disclosure, so it should not be treated as equivalent to an established record of distributions.
How do OpenAI and Anthropic make money?
At a high level, both companies develop AI models and deploy them through software products and partnerships. That broad outline is not enough to compare their underlying economics. The public material covered here does not provide a comparable set of standalone audited financial statements, revenue breakdowns, customer mix, cost structures or margins for both companies. It therefore cannot support a conclusion about which has higher standalone revenue, healthier unit economics or greater profitability.
One relevant but narrow figure comes from Microsoft’s fiscal 2026 annual report. Microsoft reported $24.1 billion in revenue from commercial arrangements with OpenAI, inclusive of revenue-sharing payments, for the fiscal year ended June 30, 2026. This is Microsoft-reported revenue from arrangements involving OpenAI; it is not OpenAI’s standalone revenue, and there is no equivalent Anthropic figure in the reviewed material. Microsoft’s 2026 annual report identifies the reporting company and period.
Other figures in the comparison measure different things and should not be combined as if they were the same financial metric. OpenAI’s stated value for the Foundation’s stake is an equity valuation; its $25 billion figure is a commitment; Microsoft’s $24.1 billion is recognized revenue from commercial arrangements; and Anthropic’s proposed share allocation is an equity plan. None on its own reveals the companies’ relative operating performance.
Are ChatGPT and Claude the same?
No. They are separate AI assistant products from different companies, though their advertised uses overlap. OpenAI describes ChatGPT as supporting questions, learning, everyday help, web searching, image generation and decision support. It describes ChatGPT Work as creating and editing documents, slide decks, spreadsheets, charts, PDFs, images and other deliverables, and identifies Codex as its coding agent for technical work. These are official product descriptions, not independent evaluations. OpenAI’s ChatGPT overview provides its current product framing.
Anthropic presents Claude as a task-oriented assistant for gathering information, drafting, producing work artifacts and supporting team workflows. Anthropic also describes a research-to-deployment loop: research informs products, and product experience feeds back into research. These are Anthropic’s descriptions of its approach, not a neutral assessment of Claude’s effectiveness. Claude’s product overview and Anthropic’s company page set out that positioning.
Product details are volatile. Model names, capabilities, plans, usage limits, availability, prices and integrations can change, so verify current terms on the official product pages before making a purchase or planning a workflow. The product descriptions above do not establish a controlled, neutral performance winner.
Which is better, ChatGPT or Claude?
There is no supported universal winner in the available evidence. Choose by the work you need to do and test the current versions for that work, rather than treating a company’s product description as proof of comparative quality.
Compare them against your actual tasks
- Task quality: Try representative prompts from your own work, such as a document draft, a research synthesis, an analysis, or code. Use the same inputs and judging criteria for each product, and check important outputs against reliable references.
- Workflow fit: Identify whether you need document or slide creation, spreadsheet work, coding support, web searching, image generation, or collaboration across a team. Confirm that the specific tools and integrations you require are currently available in the plan you would use.
- Administration and security: If the tool will handle workplace information, check the current plan’s privacy, data-handling, access-control and administrative terms with your organization. Do not assume that similar consumer-facing features imply identical enterprise controls.
- Cost and limits: Compare current prices, usage limits and plan conditions for the relevant region and account type. The material here does not establish current prices or equivalent plan limits.
- Independent evidence: Look for current, task-relevant benchmarks or evaluations that disclose their methods. A benchmark result applies to the tested models, prompts and conditions, not automatically to every task or future model version.
A useful decision is therefore conditional: one product may suit a particular workflow, plan or team requirement better, while another may perform better on a different task. Reassess when model versions or terms change instead of assuming the choice remains optimal indefinitely.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How do the companies define public benefit and safety?
Both companies describe formal arrangements intended to connect AI development with public benefit, but the commitments differ and should be assessed as company claims unless independently verified. Governance structures explain who is intended to make decisions; published policies explain what safeguards a company says it will use; evidence of implementation and outcomes is a further question.
Anthropic’s stated policies and report
Anthropic’s Transparency Hub says its Responsible Scaling Policy, first published in September 2023 and updated in February 2026, sets safeguards proportional to identified risks and calls for stronger protections as model capabilities grow. The Hub also describes a Frontier Compliance Framework published in December 2025, covering assessments and mitigations for specified risk areas, model-weight security and safety incidents. These are descriptions of Anthropic’s policies and framework, not external validation that they are sufficient or effective.
Anthropic’s 2026 Public Benefit Report says the company’s PBC purpose requires balancing shareholder financial interests with benefit to the broader public. It organizes the company’s stated public-benefit agenda around safety, legal and industry practices, democracy and global stability, prosperity, and shared benefits. Those categories communicate the company’s stated priorities; they are not measurements of achieved impact. Anthropic’s Public Benefit Report includes the company’s framing.
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OpenAI says the Foundation retains control of the commercial PBC and that its Safety and Security Committee continues to govern safety and security practices across OpenAI. The Foundation’s initial philanthropic focus, as announced by OpenAI, includes health and curing disease and technical solutions for AI resilience. Together, these statements describe governance and intended priorities, not independent proof that specific safety or social outcomes have been achieved. OpenAI’s structure page and recapitalization announcement provide the company’s account.
What should a reader take from the comparison?
OpenAI and Anthropic share a broad business pattern—AI research deployed through software products—but differ in how they describe control and public-benefit governance. OpenAI says its nonprofit Foundation controls OpenAI Group PBC and appoints its directors; Anthropic says its LTBT shares board-election authority with stockholders. Anthropic’s proposed Public Benefit Fund adds a conditional share-allocation plan, while OpenAI has reported Foundation equity and an initial philanthropic commitment.
Best Value
For product choice, compare current tools on your own tasks, requirements and plan terms. For financial comparison, do not treat a counterparty’s revenue from commercial arrangements as the AI company’s standalone revenue. The available figures leave a like-for-like assessment of revenue, profitability and product performance unresolved.
Frequently Asked Questions
Does being a public benefit corporation mean a company is a nonprofit?
No. In this comparison, OpenAI describes a nonprofit Foundation controlling a separate commercial PBC, while Anthropic describes itself as a PBC. The labels identify different organizational arrangements; they do not mean the companies have the same ownership or governance model.
Does a public-benefit mission guarantee that an AI product is safer?
No. A mission statement or governance mechanism is not, on its own, evidence that a model is safe in a particular use. To assess a deployment, look for evidence relevant to the specific system, task, safeguards and risks involved.
Can I use a company’s product overview to decide which AI assistant is more accurate?
Not reliably. Product overviews explain intended use and available workflows, but they are not controlled comparative evaluations. For accuracy-sensitive work, test current products on representative cases and verify consequential outputs independently.
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