Artificial intelligence

Dispute Over the End of Replit’s Partnership with Anthropic Amid the Platform’s Shift to OpenAI

Replit’s CEO said that the platform no longer works with Anthropic after evaluating cost, performance, and the partnership, but informed sources and recently published evidence indicate that the use of Anthropic models may be continuing. This reveals shifting competition among model providers within AI software development platforms.

2026-10-16
4 min read
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certi.news Editorial Team
Dispute Over the End of Replit’s Partnership with Anthropic Amid the Platform’s Shift to OpenAI

Amjad Masad, CEO and co-founder of Replit, said that the company no longer works with Anthropic in remarks he made while appearing onstage at the TechCrunch Disrupt event on Thursday. However, sources familiar with the partnership provided a different account, while materials published on Replit’s website, blog, and social media accounts indicate that Anthropic models continued to be used until only a few weeks before the statement.

A Decision Linked to Cost and Performance

Masad explained that the decision was made for several reasons, including cost, performance, and the nature of the partnership. He said that Replit uses an internal benchmark to evaluate performance indicators, and also publishes a public benchmark, and that the Sol and Astra models had, according to the company’s evaluation, consistently performed better at building applications based on prompt-driven coding from scratch. He added that ChatGPT is currently better, and that these factors led Replit to consider OpenAI the better partner for the time being.

Replit announced a partnership with OpenAI in August, but the announcement did not include anything indicating that its cooperation with Anthropic had ended. Replit’s cloud platform had been using Claude models to power its services, and the partnership was said to have helped the company significantly increase its revenue.

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Conflicting Evidence About the Partnership’s Status

A person familiar with the partnership between Anthropic and Replit, who requested anonymity, rejected Masad’s assertion that the cooperation had ended and said that the partnership was still active. A blog post published by Replit in late September also referred to the Claude Fable 5 and Claude Fable 5.1 models as operating in Replit Agent’s production environment. During the same period, a Replit product employee posted on X about using the Opus 5.5 model and promoting its capabilities.

TechCrunch requested additional clarification from Replit and said it would update the story if it received a response. Therefore, the source does not establish that Replit’s transition from Anthropic to OpenAI has been completed in full; rather, it establishes the existence of conflicting statements and chronological evidence of continued use of Anthropic models.

What Does This Mean for AI Coding Platforms?

The incident reveals that choosing an AI model within development platforms depends not only on technical capability; cost, partnership terms, and internal test results are also influential factors. The continued appearance of multiple models in a single production environment may also mean that the transition between providers is gradual or that the platform uses more than one provider, but the source does not provide enough detail to settle the matter.

Masad also discussed the growth of Replit’s business, saying that enterprise contracts accounted for about 2% of revenue in the previous year, while they reached about 15% this year, and that more than 50% of revenue comes from the business sector. He did not disclose annual recurring revenue figures.

Masad stressed that deploying AI agents safely requires what he described as an integrated operating environment encompassing orchestration, error recovery, safety and security, isolation within sandbox environments, networking, and identity and authorization management. This point remains separate from the status of the partnership, but it clarifies the operational requirements that Replit considers necessary for using agents in software development.

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What you need to know

Replit CEO Amjad Massad stated that the company no longer works with Anthropic and that OpenAI has become its preferred partner, but sources and published evidence on Replit channels suggest that Anthropic models may still be in use. Therefore, the article does not establish that the transition is complete; the platform may be using more than one provider or transitioning gradually.

  • Amjad Massad said the decision to favor OpenAI was related to cost, performance, and the nature of the partnership.
  • Massad said Replit’s evaluations found the Sol and Astra models to be better at building applications through prompting.
  • An informed source said Replit’s partnership with Anthropic is still active.
  • Materials published by Replit indicated that Claude models continued to run in the production environment until shortly before the statement.
  • The episode illustrates that model-provider selection also depends on partnership terms, cost, and internal testing—not technical capability alone.
  • Replit believes that safely operating AI agents requires orchestration, error recovery, isolation, networking, identity management, and authorization.

FAQ

Has Replit’s partnership with Anthropic ended?

The article does not resolve this; the CEO said it had ended, while an informed source said the partnership was still active, and published materials showed continued use of Anthropic models.

Why did Replit favor OpenAI, according to its CEO?

Amjad Massad attributed the decision to cost, performance, and the nature of the partnership, and said that ChatGPT is currently better.

Has Replit fully switched to OpenAI?

The source does not establish that the transition is complete; the process may be gradual, or the platform may use models from more than one provider.

What does Replit say is required to operate AI agents safely?

It requires an integrated runtime environment for orchestration, error recovery, safety and security, isolation within sandbox environments, networking, and identity and authorization management.

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