I spent three weeks benchmarking Claude Opus 4.7, GPT-5 and Gemini 2.5 Pro on real fullstack dev tasks. Here is what I learned.
The protocol
40 tasks across 5 categories: API generation, refactoring, debug, UI, documentation. Same prompts, no re-prompting, blind scoring.
Raw results
- Claude Opus 4.7: 8.7/10 average. Best at long reasoning, documentation and architecture.
- GPT-5: 8.3/10. Excellent at fast generation and obscure library knowledge.
- Gemini 2.5 Pro: 7.8/10. Unbeatable on multimodal tasks.
When to pick Claude
Claude shines when you need to understand a large codebase and ship clean code on the first try. Its agentic tool use via Claude Code is the current reference.
When to pick GPT-5
GPT-5 wins on raw speed and creative lateral thinking. My go-to for product brainstorming.
When to pick Gemini
Gemini 2.5 becomes essential once you leave pure text. Figma screenshots, stack traces as images, monitoring charts — it is a cut above.
Verdict
Solo dev: Claude Opus 4.7 by default, Gemini for visuals, GPT-5 for brainstorming. Team: multi-model router with automatic fallback.
