OpenAI vs Anthropic: Key Differences Explained
OpenAI and Anthropic are two of the biggest names in AI. Both build large language models and sell them to consumers and companies, but their history, business focus, and technical approach differ in ways that matter if you are choosing a platform.
Note that this site is not affiliated with either company. This guide sticks to widely reported, current 2026 figures and can change, so confirm the latest numbers before citing them elsewhere.
What Is OpenAI
OpenAI is the company behind ChatGPT and the GPT model family. It was founded in 2015 as a nonprofit and restructured in 2019, and by early 2026 reporting put its valuation at about $852 billion, with roughly $110 billion in funding when including its Stargate infrastructure commitments. OpenAI reports around 900 million weekly consumer users and offers text, image, audio, and video features, plus an API used by many developers and large firms.
What Is Anthropic
Anthropic is the company behind the Claude models, founded in 2021 by former OpenAI researchers and structured as a Public Benefit Corporation. Reporting from February 2026 put Anthropic’s valuation at $380 billion after a Series G round, though later 2026 reporting described the company approaching close to $1 trillion in a subsequent round, with roughly $64 billion in total funding. It is known for a strong focus on AI safety research through its Constitutional AI framework, long context handling, and a reputation among developers and enterprise teams for coding and document work.
Revenue and Growth
By April 2026, Anthropic reported roughly $30 billion in annualized revenue, described as 30 times growth from about $1 billion in January 2025, largely driven by enterprise and developer adoption. OpenAI’s annualized revenue over the same period was reported at roughly $25 billion, closer to 2 times growth, reflecting its larger but more slowly growing consumer base compared to Anthropic’s steep enterprise-driven curve. Enterprise market share estimates from 2026 put Anthropic at about 32 percent, up from under 15 percent in 2025, versus roughly 25 percent for OpenAI.
Key Differences
| Area | OpenAI | Anthropic |
|---|---|---|
| Founded | 2015 | 2021 |
| Structure | Nonprofit transitioning to for-profit | Public Benefit Corporation |
| Reported valuation (2026) | About $852 billion | About $380 billion to near $1 trillion across 2026 rounds |
| Annualized revenue (April 2026) | About $25 billion | About $30 billion |
| Flagship model context window | 272,000 tokens (GPT-5.4) | 1 million tokens (Opus 4.6, Sonnet 4.6) |
| SWE-bench Verified | About 80% (GPT-5.4) | 80.8% (Opus 4.6) |
| Market focus | Consumer-first, 900M weekly users | Developer-first, ~32% enterprise share |
| Safety approach | Primarily RLHF-based | Constitutional AI with defined Safety Levels |
Agentic and Autonomous Capability
One area where the two companies have visibly diverged is autonomous task duration, the length of time a model can work independently on a task without human intervention. One 2026 benchmark reported Claude Opus 4.6 able to work autonomously for up to 14.5 hours on a suitable task, with no directly comparable published figure from OpenAI at the time of that report. This reflects Anthropic’s heavier investment in agentic coding tools such as Claude Code, built specifically around long, independent working sessions across large codebases, while OpenAI’s tooling has historically leaned more toward shorter, conversational interactions inside ChatGPT and its API.
Pricing
API pricing differs by model and changes often. On mid-tier models, Claude Sonnet 4.6 runs about $3 input and $15 output per million tokens, close to GPT-5.4 at about $2.50 input and $15 output. At the budget tier, Claude Haiku 4.5 runs about $0.80 input and $4 output per million tokens, generally cheaper than GPT-5.3 Codex at about $2 input and $8 output. Anthropic also offers prompt caching with up to 90 percent discounts on cached inputs, a feature OpenAI does not currently offer in equivalent form. Always compare current price pages for your exact use, since these figures shift with new model releases.
Pros and Cons
OpenAI’s advantages include broad consumer reach with about 900 million weekly users, a wide multimodal feature set, and a huge existing ecosystem including plugins and custom GPTs. Its tradeoffs can include a smaller model context window relative to Anthropic’s flagship models and closed reasoning processes that some reviewers find harder to audit.
Anthropic’s advantages include coding strength backed by strong SWE-bench results, a clear and published safety framework, a much larger context window, and prompt caching discounts that lower real-world costs for high-volume use. Its tradeoffs include a smaller consumer product range than OpenAI and a shorter operating history as a company.
Who Should Choose Which
Choose OpenAI if you need broad multimodal features, a large existing consumer or developer ecosystem, or Microsoft-related integration. Choose Anthropic if your work is coding heavy, document heavy, or if a published, auditable safety framework and a larger context window matter to your use case. Many companies use both and switch between them by task, since both companies now post broadly comparable coding benchmark scores despite their different overall approaches.
Read also Claude AI vs ChatGPT
Frequently Asked Questions
Is Anthropic better than OpenAI?
Neither wins everywhere. Each leads in some areas, Anthropic on context window size and recent revenue growth, OpenAI on consumer reach and ecosystem size, so it is worth testing both on your own specific work before deciding.
Who makes ChatGPT?
OpenAI makes ChatGPT. Anthropic’s equivalent consumer product is Claude.
Which company is worth more?
Reported figures shifted through 2026: OpenAI was valued at about $852 billion in early 2026 reporting, while Anthropic was reported at $380 billion in February 2026 before later 2026 reporting described it approaching close to $1 trillion in a subsequent funding round, so check the most current reporting for an up-to-date figure.
Which company has more revenue?
As of April 2026 reporting, Anthropic’s annualized revenue of about $30 billion had edged past OpenAI’s roughly $25 billion, driven largely by rapid enterprise adoption, though both figures grow quickly and can shift with each quarterly update.
Which company focuses more on AI safety?
Anthropic has built its public identity heavily around safety research, publishing a Constitutional AI framework and a Responsible Scaling Policy that defines AI Safety Levels before expanding model capability. OpenAI’s safety work is primarily RLHF-based and has faced public criticism following departures from its Superalignment team.
Which is better for enterprise use?
Anthropic has been gaining enterprise market share quickly, reported at about 32 percent in 2026 versus under 15 percent in 2025, compared to roughly 25 percent for OpenAI, driven partly by Anthropic’s developer-first tools like Claude Code and its larger context window for enterprise document workflows.
How old are OpenAI and Anthropic?
OpenAI was founded in 2015, originally as a nonprofit before restructuring toward a for-profit model in 2019. Anthropic was founded later, in 2021, by a group of former OpenAI researchers, and operates as a Public Benefit Corporation.
Do both companies offer prompt caching or similar cost-saving features?
Anthropic offers prompt caching with discounts of up to 90 percent on cached input tokens, which can meaningfully cut costs for applications that repeatedly send similar context. OpenAI does not currently offer a directly equivalent feature at the same discount level.
Which has a bigger context window?
Anthropic’s Claude models, with Opus 4.6 and Sonnet 4.6 supporting up to 1 million tokens compared to GPT-5.4’s maximum of 272,000 tokens, giving Claude roughly 3.7 times more context capacity in this comparison.