Building an LLM benchmark for my needs

The model I would choose for coding may differ from the one I would choose for writing. I built Model Atlas with Codex to compare LLM benchmarks. It started as a Codex artifact. Model Atlas lets me set weights for those capabilities and compare published results for specific model configurations. Something I couldn’t find anywhere else so far. Loading evidence… Weights run from 0 to 10. Profiles have equal weight within each capability. Scores compare a fixed group of observed models. A score of 100 does not mean perfect capability. Open full index The full Model Atlas index includes the benchmark catalog, published scores, inference settings, and coverage controls. The snapshot dated 15 October 2026 has 134 benchmark families across 12 capabilities. The index scores 37 evaluation profiles with enough comparable results. They contain 730 observations across 139 configurations. Compare LLMs with capability weights I set the capability weights to match the work I have in mind. The…