{"id":575,"date":"2026-10-17T08:07:13","date_gmt":"2026-10-17T00:07:13","guid":{"rendered":"https:\/\/aidashxp.com\/replit-drops-anthropic-ai-coding\/"},"modified":"2026-10-17T08:07:13","modified_gmt":"2026-10-17T00:07:13","slug":"replit-drops-anthropic-ai-coding","status":"publish","type":"post","link":"https:\/\/aidashxp.com\/en\/replit-drops-anthropic-ai-coding\/","title":{"rendered":"Replit Ditches Anthropic: AI Coding Platform Shifts Models, Replacing Claude with ChatGPT"},"content":{"rendered":"

At the TechCrunch Disrupt conference, Amjad Masad, CEO of AI coding platform Replit, dropped major news: Replit has ended its collaboration with Anthropic and fully embraced OpenAI. This model-driven platform once hailed as a star startup now publicly declares \u201c Claude<\/a> it\u2019s better now.\u201d For developers writing code with AI daily, this signals a pivotal shift in model selection.ChatGPT<\/a> It\u2019s better now.\u201d For developers writing code with AI daily, this signals a pivotal shift in model selection.<\/p>\n\n\n\n

What happened: Switching from Claude<\/a> to GPT-6<\/h2>\n\n\n\n

Masad explicitly stated onstage that the decision to halt collaboration with Anthropic was driven by multiple factors\u2014with cost being critical. Replit announced its partnership with OpenAI in August this year but did not disclose at the time that its relationship with Anthropic had already ended.<\/p>\n\n\n\n

His exact words were: \u201cI think ChatGPT<\/a> it\u2019s better now.\u201d He added that the company uses an internal benchmark to evaluate performance\u2014and also published a benchmark showing OpenAI\u2019s Sol and Astra outperform in \u201cbuilding vibe-coded applications from scratch\u201d with greater stability. \u201cThis is a holistic decision based on cost, collaboration, and performance\u2014and right now, they [OpenAI] are the more suitable partner.\u201d<\/p>\n\n\n\n

What this means for users<\/h2>\n\n\n\n

Replit is a cloud-based software development platform where users can build and deploy applications directly in the browser\u2014beloved by founders and developers alike. It previously relied on Anthropic\u2019s Claude<\/a> model-driven platform, a partnership that significantly boosted the company\u2019s revenue growth.<\/p>\n\n\n\n

Now switching to OpenAI models, the most immediate impact is that when Replit users write code or ask AI to generate applications, the underlying \u201cbrain\u201d shifts from Claude<\/a> to the GPT-6 series (Sol\/Astra). For average users, the experience change may be subtle; but for developers heavily reliant on specific model characteristics, differences in generation style, code quality, and contextual understanding will be perceptible. To compare the real-world capabilities of these two models, refer to our in-depth review of Claude Sonnet 5.5<\/a> and GPT-6.1 Sol<\/a> .<\/p>\n\n\n\n

Controversy and Questions: Conflicting Statements from Both Sides<\/h2>\n\n\n\n

Masad\u2019s statement is not without controversy. Sources familiar with Replit\u2019s relationship with Anthropic told TechCrunch that the collaboration remains active.<\/p>\n\n\n\n

Moreover, evidence suggests Replit was still using Anthropic\u2019s products as recently as weeks ago: a late-September official blog post explicitly mentionedClaude<\/a> Fable 5 and 5.1 are running in production on the Replit Agent; simultaneously, a Replit product employee was promoting Anthropic\u2019s flagship model Opus 5.5 on X.<\/p>\n\n\n\n

TechCrunch has contacted Replit for clarification, but the CEO\u2019s public statements currently stand in clear contradiction with this evidence\u2014leaving \u201cHas Replit fully abandoned Anthropic?\u201d temporarily unresolved.<\/p>\n\n\n\n

Industry signal: Platforms shifting from \u201cbinding\u201d to \u201cdynamic model selection\u201d<\/h2>\n\n\n\n

Regardless of the final relationship, this incident reflects a trend in the AI programming space: platforms are moving away from \u201cbinding to a single model\u201d toward \u201cswitching across multiple models and dynamically selecting based on cost-effectiveness and performance.\u201d With models rapidly iterating, platforms seek an optimal balance of cost, performance, and partnership terms.<\/p>\n\n\n\n

For Anthropic, losing a high-frequency use case like Replit is a blow\u2014programming has long been Claude<\/a> one of its core strengths and among the capabilities most recognized by developers. Conversely, OpenAI\u2019s competitiveness in programming tools is gradually being validated: the GPT-6 series (Sol\/Astra) is demonstrating strong performance in real-world scenarios like \u201cvibe coding,\u201d winning platform-level contracts.Claude<\/a> Anthropic\u2019s accumulated expertise in programming can be seen in Claude Code\u2019s multi-agent projects<\/a>, while Claude Haiku 5.5<\/a> its recent pricing strategy also signals Anthropic\u2019s intensified focus on price competitiveness.<\/p>\n\n\n\n

Masad also revealed an interesting detail: Replit\u2019s enterprise business is taking off\u2014enterprise revenue accounted for just 2% last year but jumped to 15% this year, with over half of total revenue now coming from B2B. As enterprise customers become the foundation, model selection logic shifts from \u201cchasing the strongest\u201d to \u201cchasing the most stable, cheapest, and easiest to partner with.\u201d<\/p>\n\n\n\n

Frequently Asked Questions (FAQ)<\/h2>\n\n\n\n

Has Replit fully abandoned Anthropic?<\/h3>\n\n\n\n

The CEO stated so publicly, but insiders deny it\u2014and just weeks ago, Replit was still using Claude<\/a> the model in production. Both sides\u2019 accounts currently conflict, and TechCrunch is following up for clarification.<\/p>\n\n\n\n

Why is Replit switching models?<\/h3>\n\n\n\n

The CEO cited a combination of factors: cost, partnership dynamics, and performance. He believes OpenAI\u2019s Sol and Astra deliver superior results in \u201cbuilding vibe-coded applications from scratch.\u201d<\/p>\n\n\n\n

Will users notice the change?<\/h3>\n\n\n\n

For most users, the underlying model switch may not be immediately perceptible; however, developers relying on Claude<\/a> specific coding styles or capabilities may observe differences in output quality and contextual understanding.<\/p>\n\n\n\n

Why did Anthropic spend $11.6 billion on cloud services? Claude<\/a> Anthropic\u2019s standing in the programming domain?<\/h3>\n\n\n\n

Short-term impact is limited, but this is a signal\u2014programming platforms are dynamically selecting models rather than locking into a single one. Anthropic must become more competitive on cost and collaboration.<\/p>\n\n\n\n

Want to understand how these models truly perform in programming? Check our in-depth review of Claude Opus 5.5<\/a>,Microsoft-Decision-1<\/a> or conduct a side-by-side comparison using Tool Comparison Engine<\/a> You can also browse Full Review List<\/a>.<\/p>","protected":false},"excerpt":{"rendered":"

\u5728 TechCrunch Disrupt […]<\/p>\n","protected":false},"author":0,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[46],"tags":[],"class_list":["post-575","post","type-post","status-publish","format-standard","hentry","category-ai-news"],"_links":{"self":[{"href":"https:\/\/aidashxp.com\/en\/wp-json\/wp\/v2\/posts\/575","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aidashxp.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aidashxp.com\/en\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/aidashxp.com\/en\/wp-json\/wp\/v2\/comments?post=575"}],"version-history":[{"count":0,"href":"https:\/\/aidashxp.com\/en\/wp-json\/wp\/v2\/posts\/575\/revisions"}],"wp:attachment":[{"href":"https:\/\/aidashxp.com\/en\/wp-json\/wp\/v2\/media?parent=575"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aidashxp.com\/en\/wp-json\/wp\/v2\/categories?post=575"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aidashxp.com\/en\/wp-json\/wp\/v2\/tags?post=575"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}