Replit Just Said It Dumped Anthropic for OpenAI and Then Someone Inside Said That's Not Quite True

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I use AI coding tools almost every day for my own iOS app projects, so when the CEO of Replit stood on stage and said his company is done with Anthropic, I paid attention. Then a twist dropped a few hours later that made this story a lot more interesting.

What Amjad Masad Actually Said

Speaking at TechCrunch Disrupt last Thursday, Replit CEO Amjad Masad told the audience that Replit is no longer working with Anthropic and has made OpenAI its default model provider. His reasons were simple: cost, and performance. He said OpenAI's latest models, Sol and Astra, now beat Claude on Replit's internal benchmarks for building vibe-coded apps. His blunt line was basically that ChatGPT is better now.

That's a big statement. Replit has been one of the most visible showcases for AI app building, and Claude has been closely associated with that whole vibe-coding wave.

The Twist: Insiders Say the Partnership Isn't Dead

Here's where it gets messy. A source familiar with the deal told TechCrunch that the partnership is still in place. According to that source, Anthropic's latest Claude models were visible in Replit's production environment as recently as late September.

So which is it? My read: "no longer working with" and "switched the default" are two very different things. Plenty of platforms keep multiple model providers wired in and simply change which one users get by default. Replit publicly added OpenAI as a provider back in August, so this has been building for a while.

Why This Matters Beyond Replit

  • Default is everything. Most users never touch the model picker. Whoever is the default gets the vast majority of the usage and the revenue.
  • Cost is now the battlefield. Masad led with cost, not quality. For a platform running millions of agent sessions, a small price difference per token becomes a huge bill.
  • Benchmarks are internal and unverifiable. "Our internal benchmarks" is doing a lot of work in that sentence. We have no way to check them.
  • Multi-model is the new normal. Masad also warned startups about depending too heavily on any single model provider. That's probably the real lesson here.

The Bigger AI Picture This Week

This didn't happen in a vacuum. Tech stocks got hammered on Friday as investors worried about AI spending and valuations, then bounced back today with the Nasdaq up 1.1%. Meanwhile, OpenAI's GPT-6 Astra topped a new workplace-task benchmark called OfficeTown with a 74.4% score across 406 simulated tasks. On the other side, Anthropic announced plans to commit 5% of its shares to a new public benefit fund and signed a 20-year data center lease in Nova Scotia.

The model wars are moving fast, and loyalty is basically zero. Platforms will switch defaults the moment the math changes.

My Take as a Developer

I've built apps with both. Honestly, the best model changes every few months, and the smart move is to keep your workflow model-agnostic. If you're building on any platform, make sure you can swap the brain behind it without rewriting everything.

What's your experience? Drop a comment below! 👇 Which AI model do you trust most for coding right now, and has that changed this year?

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