Fable 5 vs GPT-5.6 Sol: I spent $2,000 and 2 billion tokens to find out who wins

An experiment compared Fable 5 using Claude Code, GPT-5.6 Sol using Codex, and GPT-5.5 as a control by having each autonomously build three Expo and React Native applications from identical prompts, templates, tools, and simulator-validation requirements. Across an AI calorie tracker, a functional ChatGPT clone, and a SwiftUI sleep-tracker rewrite with live activities, Fable 5 consistently produced the highest-quality code, cleaner and more cohesive interfaces, fewer lines of code, and the fastest completion times, though it carried the highest hourly cost. GPT-5.6 was generally competitive in quality and particularly persistent in resolving well-defined problems, but it could spend much longer in validation loops, including 13.5 hours on the most complex rewrite. GPT-5.5 showed weaker results, including an inoperative chat feature, leftover boilerplate, visible UI compromises, and consistently greater technical debt. The experiment consumed more than two billion tokens and about $2,000, largely because simulator testing captured screenshots, interaction data, and metadata for every feature and debugging cycle; the author suggests delegating validation to subagents to limit context consumption. The conclusion recommends Fable 5 for end-to-end product development and larger code changes, while positioning GPT-5.6 as useful for focused automation, computer-use tasks, and smaller technical requests.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.