The article reviews the latest models in large language technology for coding, namely OpenAI's GPT-4.1, Anthropic's Claude 3.7 Sonnet, and others. It highlights significant improvements in model performance, task specialization, and capabilities. GPT-4.1 excels in initial scaffolding but struggles with complex coding tasks, while Claude 3.7 stands out as a dependable all-rounder with a good balance of cost and performance. The article encourages developers to explore and mix models to optimize their coding workflow, emphasizing that capabilities are consistently evolving.
OpenAI's GPT-4.1 replaces the now-retired GPT-4.5 preview, offering a cheaper, lower-latency 128k-token context and better image-to-spec generation.
Anthropic's latest Sonnet model is still the model I reach for first. It strikes the best cost-to-latency balance, keeps global project context in its 128k window.
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