GPT-5.6 Sol vs. Claude Fable: Why OpenAI’s new model crushes my benchmark
About this episode
In this episode, Claire Vo compares the performance of various AI models using her unique benchmark and discusses practical applications of GPT-5.6 Sol.
GPT-5.6 Sol is back, and I ran it through my full How I AI vibe benchmark against GPT-5.6 Terra, Luna, Claude Fable 5, and Sonnet 5 across five categories: PRDs, prototypes, wireframes, debugging, and agentic voice. Sol won by a meaningful margin on my Claire Weighted Index (70% my taste, 30% Terminal Bench 2.1), and I also tested two use cases I can't stop thinking about: building a gamified homework tracking app for my kids in one shot with Codex, and browser automation with Chrome that burned through 500 LinkedIn replies while I did literally nothing. What you’ll learn: How I scored five AI models (including GPT 5.6 Sol, Fable 5, and Sonnet 5) using my “Claire Weighted Index” benchmark across PRDs, prototypes, code, and agentic voice The difference between GPT-5.6 Sol (Terra) and Sol for PRD writing How Fable’s precision and pedantry made it harder to collaborate with, and the exact moment Sol broke through where Fable got stuck Why Sonnet 5 is still my go-to for agentic voice in OpenClaw, even after this whole benchmark How I used GPT-5.6 Sol in Codex to build a fully gamified homework tracking app for my kids in one shot The video editing use case that saved me hours…
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