Alpharetta – November 03, 2026 -- Generative large language models (LLMs) computing financial figures directly achieved an exact precision rate of 63.5%, against 100% for SigmaCore.ai's deterministic Eliza engine, according to a benchmark study released by the Georgia-based AI developer.

Code execution lifts LLM accuracy to 94.7% but adds formula-selection risk

The study, titled "Can We Trust the AI to Do the Math?", covered 3,400 financial test cases. LLMs with code execution enabled reached 94.7% exact precision.