Which LLM writes the best code? Convex Chef model comparison

At Convex, the development of Chef, an AI app builder designed to understand and typecheck backend code, involves evaluating the performance of various language models (LLMs). The process highlighted the strengths and weaknesses of models like Anthropic's Claude 3.5 Sonnet, which excels at following instructions and coding but is costly, and OpenAI's GPT-4.1, which generates solid UIs but struggles with tool use. Gemini 2.5 Pro supports longer context windows and faster streaming, though it can be verbose. Ultimately, Convex chose Claude 3.5 Sonnet as the default model for Chef due to its superior instruction-following and coding capabilities. The company emphasizes the importance of selecting models based on specific use case needs, continually testing and updating their choices as the LLM landscape evolves. Convex's platform provides a comprehensive suite of backend services, including cloud functions, database management, and real-time updates, to support full-stack AI project development.

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