Vibe-coding startup Windsurf launches in-house AI models
Windsurf, a startup known for vibe-coding, released its own AI models amid a potential $3 billion acquisition by OpenAI.

Windsurf, a prominent player in the "vibe coding" arena, has unveiled its first suite of proprietary AI models, dubbed the SWE-1 family. This launch signifies a strategic shift from relying solely on external large language models (LLMs) to developing in-house solutions tailored for the entire software engineering lifecycle.
The SWE-1 family comprises three models:
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SWE-1: The flagship model, designed for advanced reasoning and tool integration, available to paid users.
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SWE-1-lite: A streamlined version replacing Cascade Base, accessible to all users.
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SWE-1-mini: A lightweight model powering Windsurf Tab for passive code prediction, also available to all users.
These models are engineered to handle complex tasks beyond mere code generation, such as navigating incomplete work, managing long-running tasks, and operating across various development environments like terminals and IDEs. Windsurf emphasizes that traditional coding models fall short in these areas, prompting the development of SWE-1 to address these challenges.
Performance benchmarks indicate that SWE-1 competes closely with leading models like Claude 3.5 Sonnet and GPT-4.1 in software engineering tasks. Notably, internal blind A/B tests revealed higher user engagement and code acceptance rates when using SWE-1 compared to previous models.
This development comes amid reports of OpenAI's $3 billion acquisition of Windsurf, highlighting the growing significance of specialized AI tools in software development. By owning both the development environment and the underlying models, Windsurf aims to deliver a more cohesive and efficient coding experience for developers .
Sources: TechCrunch, Business Wire, Maginative, Reuters