Anthropic vs OpenAI: How Claude and ChatGPT's Makers Compare in 2026

Anthropic and OpenAI get called "the Claude company" and "the ChatGPT company," but by 2026 that undersells what each business actually is. Anthropic is now an enterprise software company that happens to run a large chatbot, pulling roughly 85 percent of revenue from business and developer customers. OpenAI is a consumer-scale platform still building its enterprise arm, pulling roughly 85 percent of revenue from individual ChatGPT subscriptions. Pick Anthropic for security-conscious coding, internal tools, or regulated workflows. Pick OpenAI for the widest consumer reach and the broadest product surface, from chat and voice to agents and image generation.

Key stats

• Anthropic raised 65 billion dollars in a Series H round at a 965 billion dollar valuation on May 28, 2026 (Anthropic, TechCrunch), overtaking OpenAI's 852 billion dollar valuation from its 122 billion dollar round closed March 31, 2026.
• Anthropic draws about 85 percent of revenue from enterprise and developer customers, while OpenAI draws about 85 percent from individual ChatGPT subscriptions (Forbes, May 2026).
• More than 500 companies spend over 1 million dollars a year on Claude, and eight of the Fortune 10 are Anthropic customers (Forbes, May 2026).

Anthropic vs OpenAI at a glance

Company backgrounds and founding story

Anthropic and OpenAI are, in a real sense, sibling companies born from the same disagreement. OpenAI came first: it launched in December 2015 as a non profit research lab, co-founded by Sam Altman, Elon Musk, Ilya Sutskever, Greg Brockman, and several other researchers, with early backers pledging around 1 billion dollars toward AI that benefits humanity. As compute costs grew, OpenAI restructured into a capped profit company in 2019, took a major investment from Microsoft, and in 2025 restructured again into a public benefit corporation under a controlling non profit foundation. Musk left the board years earlier and now runs a rival lab, xAI.

Anthropic exists because a group of OpenAI's own researchers did not think that path was safe enough. In January 2021, seven OpenAI alumni left to start a company built on a different bet: that safety research and commercial products should be the same effort, not separate tracks. The founders included siblings Dario Amodei, previously OpenAI's Vice President of Research, and Daniela Amodei, previously its Vice President of Safety and Policy, along with Jared Kaplan, Jack Clark, Sam McCandlish, Tom Brown, and Chris Olah. That founding story still shapes each company's pitch. OpenAI says its job is bringing AI to as many people as possible, as fast as it can responsibly be done. Anthropic says its job is proving the safest lab can also win commercially.

Safety and alignment philosophy differences

Anthropic treats safety research as its core identity, not a side function, backed by concrete published commitments rather than general statements. It operates under a Responsible Scaling Policy that ties model releases to specific safety evaluations, and trains Claude using a method called Constitutional AI, where the model is steered by an explicit written set of principles rather than human feedback alone. OpenAI takes a more iterative, ship and learn approach. It maintains its own preparedness framework for frontier risks, but has restructured its internal safety teams more than once and is generally quicker to ship consumer features and adjust based on real world use.

Dario Amodei has been candid about the cost of this approach. Speaking on the Dwarkesh Patel podcast, reported in February 2026, he said: "We're under an incredible amount of commercial pressure and make it even harder for ourselves because we have all this safety stuff we do that I think we do more than other companies." That is a rare admission from a chief executive that safety work is a real business cost, not just marketing, and it captures the trade-off at the center of how the two companies differ: Anthropic competes while carrying extra process and review, betting enterprises will pay for it, while OpenAI bets that scale and product breadth matter more to most customers than any one safety framework.

Enterprise and business focus

Anthropic's business is now built around enterprises, not casual chat users. Claude has become a particularly strong choice for coding tools and agentic workflows, and its enterprise pricing, security certifications, and data handling commitments are built around procurement teams and compliance reviews, not individual developers signing up with a credit card.

OpenAI's business still leans heavily on consumer scale. ChatGPT's hundreds of millions of weekly users generate the bulk of company revenue, with the large majority of those users on the free tier. OpenAI is investing heavily to catch up on the enterprise side, and it still has the larger total user base and the widest range of product surfaces, spanning chat, voice, image and video generation, coding agents, and a broad consumer app ecosystem. For a business deciding where to integrate AI, the question is less "which company is bigger" and more "does our workload look like enterprise software or consumer software." If your business needs to integrate either model into a real product, LLM and RAG systems can connect the right one to your data and workflows, rather than betting the build on brand reputation alone.

Pricing and API differences

Both companies price their APIs the same basic way: per token, across model sizes from small and fast to large and expensive. Anthropic's lineup runs from its fastest, cheapest model up to its top tier reasoning model, with discounts through prompt caching and batch processing built into the pricing. OpenAI runs a similar tiered structure across its GPT-5 line, and layers a very large consumer subscription business, ChatGPT's free, Plus, and higher tiers, on top of its API pricing, at a scale Anthropic does not match. Sticker prices for comparable tiers tend to land in a similar range for both, so the real cost difference in production usually comes down to how efficiently you use context, caching, and model selection rather than which vendor you pick. For a fuller breakdown of what a real build actually costs once you include engineering time and ongoing API spend, see our AI development cost guide.

Which is better for developers

For most developers, both are strong, and the deciding factor is usually the task rather than the brand. Claude has built a strong reputation for coding and long, multi step agentic tasks, with tool use behavior many engineering teams describe as more reliable for autonomous work. GPT models offer a broader ecosystem, more first party integrations, and a much larger base of existing tutorials and community tooling, simply because ChatGPT and the OpenAI API have been widely used for longer. A developer building a coding assistant or an unsupervised agent will often find Claude a strong starting point. A developer who needs multimodal features, the widest range of integrations, or the most battle tested general purpose API will often lean toward OpenAI.

Which is better for enterprises

For enterprises, the deciding factor is usually risk tolerance and procurement requirements rather than raw model quality, since both companies' flagship models are competitive on most benchmarks. Anthropic's entire business model is built around enterprise trust: its safety commitments, its Responsible Scaling Policy, and its revenue mix all point toward large regulated customers, the kind reflected in the more than 500 companies paying over 1 million dollars a year on Claude. OpenAI offers massive scale, the deepest bench of product integrations, and the advantage of already being the default AI tool most employees have used personally through ChatGPT, which can shorten internal adoption. A bank, hospital system, or government agency will often weight Anthropic's safety documentation more heavily, while a company that wants one vendor to cover chat, coding, image generation, and consumer facing features at once will often find OpenAI's breadth hard to match.

Frequently asked questions

Is Anthropic part of OpenAI?

No. Anthropic is fully independent, founded in January 2021 by former OpenAI employees, including Dario and Daniela Amodei, after they left over disagreements on how safety should be built into AI development. The companies compete directly with no ownership tie.

Which is bigger, Anthropic or OpenAI?

By valuation, Anthropic is larger at 965 billion dollars in May 2026 versus OpenAI's 852 billion dollars from March 2026. By total revenue and user count, OpenAI is still bigger overall, driven by ChatGPT's consumer base.

Does Anthropic or OpenAI have better enterprise security?

Anthropic built its reputation around enterprise security, publishing a Responsible Scaling Policy and framing safety review as core to its process. OpenAI maintains its own enterprise certifications and has invested more here as its enterprise push grows, but security is Anthropic's primary sales differentiator.

Who founded Anthropic, and why did they leave OpenAI?

Seven former OpenAI employees founded Anthropic in January 2021, led by siblings Dario Amodei, previously OpenAI's VP of Research, and Daniela Amodei, previously its VP of Safety and Policy. They left to make safety research core to the company, not a separate function.

Is Claude or ChatGPT's API cheaper for developers?

Sticker prices for comparable model tiers are generally similar as of 2026. The bigger cost driver in production is how well you manage context length, caching, and model selection, not which API you pick.

Is Anthropic or OpenAI closer to profitability?

Anthropic is closer, projecting a 559 million dollar operating profit in the second quarter of 2026 on its enterprise heavy revenue mix. OpenAI expects a roughly 14 billion dollar loss in 2026, with profitability not seen until 2029 to 2030.

Updated July 2026.