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OpenAI has the smarter model. Anthropic is winning anyway

OpenAI has the smarter model. Anthropic is winning anyway

Tech aillmenterprise Ravi on Product
Despite OpenAI's models outperforming Anthropic's on intelligence benchmarks, Anthropic is surpassing OpenAI in enterprise spending by focusing on platform integration and tools.
What: While OpenAI's frontier models still lead in AI intelligence benchmarks, Anthropic's Claude has overtaken OpenAI in enterprise spending, according to On Ramp's AI Index for May 2026. Author Ravi Mehta argues Anthropic's success stems from focusing on the "platform layer" and enabling models with "hands" through tools like MCP (Model Context Protocol) and Claude Code, which integrates into the terminal.
Why it matters: This suggests that raw model intelligence is becoming a necessary but not sufficient condition for enterprise AI adoption. The industry is shifting towards valuing comprehensive platform capabilities, tool integration, and developer-friendly ecosystems over marginal gains in benchmark scores for real-world business impact.
Takeaway: If building AI solutions for enterprises, prioritize platform integrations, tool access, and developer experience as much as raw model performance.
Deep dive
  • OpenAI's frontier models, such as GPT, consistently outperform Anthropic's Claude on standard AI intelligence benchmarks.
  • However, Anthropic's enterprise spending and usage have surpassed OpenAI's, according to the May 2026 AI Index.
  • Ravi Mehta argues that Anthropic's success comes from focusing on the "platform layer" rather than just the "model layer."
  • Anthropic made a key bet on "hands" (the ability for AI to act on the world) over just "mind" (intelligence).
  • This includes the Model Context Protocol (MCP), a standard for AI models to access any tool, data source, or system.
  • Claude Code, for example, succeeded by living in the terminal, giving it access to thousands of existing developer tools like Git and Docker.
  • Other Anthropic initiatives like Claude (skills), Claude Cowork (file access), and Claude Design (HTML rendering) are examples of adding "hands."
  • OpenAI, in contrast, has focused on improving core model intelligence and image generation.
  • Mehta likens Anthropic's strategy to Microsoft building Windows (a platform) and its own apps (Office), while OpenAI's strategy is more akin to Meta building engaging applications on others' platforms.
  • Anthropic's Claude is open, allowing developers to bring their own tools and integrations, while ChatGPT has been largely closed to developers.
  • The article concludes that in the "platform era" of AI, the key question for companies is which model best orchestrates agents, tools, workflows, and processes for business operations.
Decoder
  • Model Context Protocol (MCP): A standard developed by Anthropic that allows AI models to access and interact with external tools, data sources, and systems, effectively giving the AI "hands" to perform actions.
  • Platform layer: In software, the underlying infrastructure and tools that enable the development and deployment of applications, rather than the applications themselves.
  • Frontier models: The most advanced and capable AI models currently available.
Original article

OpenAI has the smarter model. Anthropic is winning anyway.

Anthropic figured out something OpenAI didn't — and it has nothing to do with the model.

Two charts tell the story.

On Artificial Analysis’s intelligence ranking, OpenAI’s frontier models still beat Claude. They’re ahead by the benchmarks that have defined this industry for three years.

On Ramp’s AI Index for May 2026, Anthropic just overtook OpenAI in enterprise spending.

Anthropic usage has been exploding, growing past OpenAI for the first time this month.

If intelligence is what matters, this shouldn’t happen.

So what is Anthropic doing that OpenAI isn’t?

OpenAI is competing at the model layer. Anthropic is competing at the platform layer — and that’s where applied AI gets won.

Two bets got Anthropic there. Neither shows up on a benchmark.

Bet #1: Mind and hands

MIT’s motto is mens et manus. Mind and hands. The idea: intelligence is meaningless without the ability to act on the world. You can be a structural engineering savant, but without a saw you’re not building a house.

For three years, the AI industry has been obsessed with the mind. Bigger models. Smarter benchmarks. More parameters.

Anthropic bet on the hands.

It started with MCP — the Model Context Protocol. A standard that lets any AI model access any tool, any data source, any system. Not glamorous. Not a benchmark-topping release. Just “plumbing”.

Then came Claude Code. The dirty secret of Claude Code’s success: it didn’t win because the underlying coding model was better. The same Claude models were available in Cursor, in every IDE plugin, in every wrapper on the market. Claude Code won because it lives in the terminal — where thousands of tools already exist. Git. Docker. ffmpeg. jq. Every CI script ever written.

Putting Claude in the CLI didn’t make it smarter. It gave it hands.

The pattern repeats with Claude (skills), Claude Cowork (file access), and Claude Design (HTML rendering). None of these are “smarter Claude.” They’re Claude with different hands — different tools, different surfaces, different ways to act in the world.

OpenAI spent the same period chasing the mind. New frontier models. Better image generation. Reasoning upgrades. The benchmarks went up. The enterprise spend went sideways.

Bet #2: Platform > applications

The second thing Anthropic got right: it has focused on building a platform, not just applications.

This is the difference between Microsoft in the 90s and Meta in the 2010s.

Microsoft built Windows (the platform) and Office (the killer app). It was its own first and best customer — but never its only customer. Microsoft execs were emphatic about creating value for developers… developers, developers, developers. The result? A generational platform that has thrived through every era — even the ones it didn’t win.

Meta took a different approach. Forced to live on platforms it didn’t own — iOS, Android, Mac, and Windows — Meta focused on building the most engaging applications on those platforms. As a developer platform, they were reluctant. F8 was always more about Meta’s product launches than developer tools.

Meta executed their application strategy brilliantly but also out of necessity because others had the platform locked up. A lot of OpenAI’s senior leadership came from Meta. And it shows.

ChatGPT has been largely closed to developers. OpenAI’s strategy: win the consumer app, charge a subscription, sell ads later.

It’s the Meta playbook.

Anthropic is running the Microsoft playbook. Claude is open. MCP is open. Skills are open. Bring your own tools, your own data, your own integrations. Build on top. The interfaces are there. And Anthropic uses its own apps — Claude Code, Claude, Claude Design — the way Microsoft used Office: as proof the platform works, not as the only thing customers are allowed to run on it.

AI’s next era

Benchmarks aren’t irrelevant. A significantly less capable model would have lost regardless of the platform it’s plugged into. Hitting benchmarks is necessary, not sufficient.

As AI models have matured, the gradient has shifted from the marginal IQ point to the harnesses, tools, and workflows that intelligence plugs into.

Enterprise software has always rewarded platforms over applications: SAP, Salesforce, AWS, Microsoft. Anthropic recognized this early, shifting focus away from intelligence benchmarks to real-world impact.

Now that we’re in the platform era of AI, the most important question for your company isn’t which model is most capable. It’s:

“Which model best orchestrates the agents, tools, workflows, and processes that run my business?”

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