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Base44 launches Base1 LLM trained on tens of millions of user interactions

TL;DR

Base44, the vibe coding platform acquired by Wix for $80 million in 2025, has released Base1, a custom LLM trained on tens of millions of user interactions. The company claims the model will eventually outperform frontier models through optimization for latency, cost, and efficiency specific to app creation workflows.

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Base44 Launches Base1 LLM for Vibe Coding Platform

Base44, the vibe coding platform that Wix acquired for $80 million in 2025, has started rolling out Base1, a custom large language model trained on user interactions from its platform. The company says the model was developed using "tens of millions of real user interactions" to optimize for app creation with natural language.

According to founder Maor Shlomo, owning the model "allows us a lot more optimizations on latency, cost, and efficiency" compared to relying on external frontier models. The company has not disclosed specific benchmark scores or pricing details for Base1.

Defensibility Through Vertical Integration

The move reflects a broader trend among AI startups seeking defensibility against both competitors and frontier model providers. Base44 competes with Swedish startup Lovable, which reached unicorn status in its Series A and reported $500 million in annual recurring revenue (ARR) earlier this month. Base44 announced it surpassed $100 million in ARR a few months ago.

Lovable currently relies on external LLMs, but Shlomo expects competitors with sufficient scale and data velocity to follow suit with their own models. According to Jonathan Userovici, general partner at VC firm Headline, data is one of three key ingredients for AI startup defensibility, alongside distribution and technology stack.

Competition from Frontier Labs

Base44 faces competition not just from other vibe coding platforms but from frontier AI labs moving into app creation. Anthropic's Claude Code and xAI's Grok (now both part of SpaceX's ecosystem through Cursor) are entering the same space with access to their own data and feedback loops.

Shlomo argues specialization gives Base44 an advantage: "Models are progressing, but they'll stay very general in what they can do." However, Userovici cautioned against underestimating frontier models, citing legal tech startup Harvey, which abandoned plans to train its own model.

Cost Optimization Drive

Inference costs have become a significant factor for AI companies. Userovici notes that enterprise customers "don't necessarily see a return on investment when using the latest models for all use cases," driving demand for model orchestration and optimization.

Base44 expects model ownership to "result in a structurally stronger margin profile over time," though the timeline is unclear. Improved margins would benefit parent company Wix, which recently announced 20% workforce layoffs. In contrast, Base44 has been growing headcount since the acquisition.

Shlomo said the company aims for a model "that is going to be more aligned to what we think is the right thing, is going to be more optimized to what we see users like in terms of the results we're getting, and is going to be faster and cheaper for customers eventually than using the frontier models like Opus."

What This Means

Base44's move signals a strategic shift among AI application companies with sufficient scale to build proprietary models. The company is betting that vertical integration — owning distribution, data, and infrastructure — will provide sustainable competitive advantage. However, the success of this approach remains unproven, with frontier models continuing to improve rapidly and some startups abandoning similar efforts. The real test will be whether Base1 can deliver measurable improvements in performance and cost compared to frontier alternatives like Claude Opus.

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