Startup Base44 launches Base1, its own AI model for vibe-coding apps

Israeli startup Base44 has launched Base1, its own AI model trained for vibe coding. The company is dropping the third-party models it built its product on throughout its first year.

What vibe coding means at Base44

Base44 is a Tel Aviv platform that lets anyone build a working app simply by describing it in plain language, without writing code by hand. The industry calls this approach vibe coding: generative AI turns a user's text description into a finished, working product, with no programmer involved on the customer's side.

Why a startup needs its own AI model

Throughout its first year, Base44 built customer apps on models from third-party AI labs. That is standard practice for most vibe-coding platforms, which essentially wrap other companies' large language models in a convenient interface. Base44 says it moved to its own Base1 model because owning a model is the only way to survive the rapidly intensifying competition in the vibe-coding market, which The Next Web describes as a gold rush.

• Base44 — a startup from Tel Aviv, Israel
• First year of operation — apps were built on third-party models
• New product — its own Base1 model
• Stated reason for the switch — control over product quality and economics amid sharply rising competition

How the company arrived at its own model

Most vibe-coding platforms today depend on the terms and pricing of external model providers. Any change in a third-party provider's rates or limits hits the product's economics directly. Base1 changes that dependency: Base44 now controls the entire stack, from code generation to the final app, with no third-party model in the middle. The move also lets the company tune the model more precisely for its own narrow use case — turning a text description into a working app — instead of relying on a general-purpose model trained on a broad range of tasks.

What it means

Base44's switch to its own model signals that the vibe-coding market is maturing. Startups that previously just wrapped other companies' large language models in a convenient interface are starting to invest in their own ML infrastructure. Their goals: stop depending on external providers' terms and pricing, and stand out from dozens of similar competitors fighting over the same market. The Next Web describes what is happening in the market as a gold rush, which suggests more vibe-coding platforms will announce their own models soon, since dependence on someone else's infrastructure is becoming the main competitive risk for players in this segment.