A developer spent $2,000 and over 2 billion tokens to benchmark three AI coding models — Fable 5 (Claude Code), GPT-5.6 Sol, and GPT-5.5 — by having each one-shot three Expo/React Native apps: an AI calorie tracker, a ChatGPT clone, and a SwiftUI-to-Expo rewrite. Fable 5 won on code quality (scoring 85–88 vs 76–86), speed, and conciseness across all three apps, though it was the most expensive per hour ($74–$163/h). GPT-5.6 Sol proved to be a persistent problem-solver suited for automation tasks, while GPT-5.5 consistently produced the most technical debt. The experiment used spec-driven development, autonomous iOS simulator validation via Argent MCP, and Expo API routes for the backend. The verdict: use Fable 5 for larger, quality-sensitive projects and GPT-5.6 for well-defined automation tasks.

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The ground rulesApp 1: the AI calorie trackerApp 2: the ChatGPT cloneApp 3: a full SwiftUI-to-Expo rewriteWhere did 2 billion tokens actually goThe verdict: which model for whatWhat's next
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