Anthropic vs. OpenAI: What's the Difference?

Key takeaways

• The differences between Anthropic and OpenAI make each more suitable for specific use cases, while the two also take different approaches to AI ethics.

• Advantages of OpenAI over Anthropic include its extensive line of generative AI products, including ChatGPT, DALL-E, and Codex.

• Performing experiments for different tasks can help you better establish Anthropic versus OpenAI comparisons and learn which is best for you.

Anthropic and OpenAI valuation comparisons highlight the strong positions each company holds in the AI market as industry leaders. Learn more about the similarities and differences between Anthropic and OpenAI in this article.

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Understanding the differences between OpenAI vs. Anthropic

Despite operating and leading in the same generative AI space, Anthropic and OpenAI take different approaches to ethics, safety, and applications. While Anthropic's mission is to be an AI safety and research company that builds "reliable, interpretable, and steerable AI systems" [1], OpenAI is an AI research and deployment company whose "mission is to ensure that artificial intelligence benefits all of humanity" [2]. Choosing when to use Anthropic's Claude or OpenAI's ChatGPT depends on how you use generative AI.

What is Anthropic?

Founded in 2021 by Dario Amodei, Daniela Amodei, and other former OpenAI researchers, Anthropic is an AI public benefit corporation that specializes in AI safety and research.

Though Anthropic strives to create conversational AI that is powerful and capable of handling complex queries and tasks, its overarching objective is to ensure its large language model Claude is also an ethical AI. To this end, the multidisciplinary team at Anthropic conducts extensive research into how an AI's mind works. By positioning itself as an industry expert in generative AI safety and research, Anthropic strives to create secure, trustworthy, and reliable AI.

To ensure Claude remains an ethical AI, its team of researchers and engineers employs a method called constitutional AI.

Built on a foundation of human-generated rules and ethics, this method uses successive fine-tuning of AI models to generate more ethical outputs each time. In practice, the AI model constantly checks its output against its human-directed ethical guidelines.

What is Anthropic used for?

Anthropic's flagship conversational AI, Claude, is used for tasks that involve advanced reasoning, vision analysis, code generation, and multilingual processing. You can access Claude through an application programming interface (API), an Android or iOS app, or Claude's web interface.

Claude Opus 5, the latest version of Claude as of September 2026, offers greater performance than its predecessor, Opus 4.8, all while remaining at the same price. Opus 5 shows particularly strong advancements in scientific research use cases, while also giving you the ability to produce visual outputs to view your findings.

You can adjust model settings in Claude Opus 5 to gain results more cost-effectively and efficiently, or to maximize intelligence. With this new release, Opus 5 outperforms 4.8 in practically all areas, including novel problem-solving, agentic coding, and multidisciplinary reasoning.

Advantages of Anthropic

Anthropic's Claude AI is built with accuracy, safety, and reliability in mind. By conducting exhaustive research into how the large language model thinks and reasons, Anthropic has far more control over how its model responds.

In practice, you're less likely to encounter inappropriate, unethical, or untruthful outputs. While you should always double-check your AI's outputs, Claude claims that hallucinations, which are confident statements of factual inaccuracies as fact, are less common and that accuracy is reliable even in large documents.

Finally, because Anthropic trains Claude using constitutional AI methodologies, Claude adheres to a set of ethical AI guidelines. Theoretically, Claude's outputs will be less biased toward a specific political or social end of the spectrum.

Disadvantages of Anthropic

While Claude can interpret images and extract text and meaning from those images, it cannot generate them like ChatGPT can using its image model DALL·E3. If your project requires AI image or video generation, you'll have to use another AI or manually create those images and videos.

Claude also encountered cybersecurity challenges, where the model gained unauthorized access to systems from three different organizations. As a result, Anthropic is implementing increased controls and monitoring procedures for infrastructure evaluation.

What is OpenAI?

Founded in 2015 by Sam Altman, Greg Brockman, Elon Musk, and others, OpenAI is an AI research company that primarily focuses on the development, deployment, and safety of artificial general intelligence (AGI).

In contrast to Anthropic, OpenAI offers a line of generative AI products, including DALL-E, Codex, ChatGPT, and Whisper. CLIP, short for contrastive language-image pre-training, describes images, while OpenAI's API enables developers to interact with and test use cases across all of OpenAI's conversational AI products.

What is OpenAI used for?

By leveraging features in OpenAI products, you can perform research, create content, generate images, translate languages, build chatbots, analyze data, automate repetitive processes, and more.

ChatGPT allows you to perform light research, summarize documents, make sense of calculus, and extract information from charts and diagrams. Because OpenAI has integrated DALL-E, Codex, CLIP, and Whisper into the ChatGPT mobile app and web interface, you can seamlessly access these AI tools as needed.

DALL-E can create custom art for your cafe, too. By typing a detailed prompt that includes the aesthetic, camera angles, and general description of the image you want to create, you can tailor the custom art to fit your cafe's aesthetic.

If you need to build an app or design a webpage from scratch in HTML and CSS, you can use Codex. Type in a detailed prompt, and Codex will take your input and generate lines of code.

Finally, with OpenAI's newest model, GPT-6 Astra, you can experience even greater understanding of user intent, for more trust in the model's performance when delegating tasks, whether that’s building a website, analyzing data, performing online research, filling out forms, or drafting emails.

Advantages of OpenAI

OpenAI's broad range of conversational AI products means you can have access to tools that can make learning, writing, working, and creating easier and more streamlined. Because OpenAI's mission is to make its conversational AIs accessible to a broad audience, you can easily access the full suite of OpenAI's products through the API, its web interface, or via the Android and iOS mobile apps.

Disadvantages of OpenAI

OpenAI's conversational AIs are trained through reinforcement learning or reinforcement learning from human feedback (RLHF). While this ensures the AI does what humans want or need, it can bias the AI's outputs.

RLHF relies on human annotators/evaluators to be attentive, honest, and consistent. It also assumes that the AI model has no ulterior motives, won't game the system to maximize reward, and thoroughly completes the desired task as instructed.

However, beginning in January 2024, OpenAI funded several teams to develop ways to democratically govern AI. According to OpenAI's official blog, "As AI gets more advanced and widely used, it is essential to involve the public in deciding how AI should behave⁠ in order to better align⁠ our models to the values of humanity" [3].

Which company is bigger, Anthropic or OpenAI?

In May of 2026, Anthropic reached a $965 billion valuation, giving it a slight edge over OpenAI’s $852 billion valuation just months earlier in March [4]. The popularity of Claude AI, especially in enterprise use cases, has helped Anthropic achieve its lead in the market.

Anthropic vs. OpenAI comparison

Whether to use Anthropic's Claude or OpenAI's suite of generative AI tools depends entirely on your use case. Generally speaking, Claude is good for:

• Content ideation

• Brainstorming

• Interpreting graphs

• Extracting data from uploaded images

• Drafting preliminary pieces of text, like reports or essays

OpenAI's conversational AIs are good for:

• Brainstorming

• Content ideation

• Cursory research on topics of interest

• Image generation and creation

• Real-time, voice-based conversations via Whisper

• Image descriptions and data extraction via CLIP

• Multilingual coding via Codex

Ultimately, it's not an either-or decision. As you explore these conversational AIs in greater depth, you might decide that one is better for drafting an essay while the other is better for extracting data from and summarizing a profit-and-loss account. Experiment with Anthropic's and OpenAI's conversational AI tools to determine which ones fit your needs best.

Read more: 20 Examples of Generative AI Applications Across Industries

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