Developer Compares Claude, Gemini, and ChatGPT for Daily Coding Workflows

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A developer conducted an extended hands-on evaluation of Claude, Gemini, and ChatGPT through GitHub Copilot's multi-model feature, pairing each with the Spec-kit tool to supply repository context. Claude ranked highest for code generation, context analysis, and technical problem-solving, but proved costly — consuming roughly $200 in tokens per user per month. Gemini emerged as the most cost-efficient alternative, performing nearly as well as Claude on context analysis and delivering strong results when given clear instructions. ChatGPT underperformed for complex codebases, frequently producing incomplete code, hallucinating, and failing to adapt solutions to project-specific conventions. The author concludes that Spec-kit is essential regardless of model choice, as it supplies LLMs with coding standards and architectural rules that significantly improve output quality.

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