Model ML's finance agents powered by GPT-5.6 Sol produced investment decks using 39% fewer tokens per deck than Fable 5, while generating more polished, legible decks with clearer, more accurate data visualizations that required less rework before sharing.
A bespoke tearsheet that once took an analyst about an hour to assemble now takes about five minutes using GPT-5.6 Sol, which improved knowledge work outputs across domains and excels at equations, financial models, and typography, spacing, hierarchy and worksheet layout. Model ML's end-to-end workflow carries a finance request through research, analysis, and finished PowerPoint or Excel output, with agent routing each step to the model best suited for it.
In independent FinanceReasoning benchmarks, GPT-5.6 Sol matches Claude Fable-5's 90.34% accuracy at $3.85 per run against Fable-5's $10.05 (38% of Fable-5's cost), while GPT-5.6 Sol-Pro records the benchmark's highest accuracy at 90.76% at $16.35 per run. For finance builders: Sol's token efficiency and turnaround-time compression signal meaningful cost savings in document-heavy workflows. The accuracy gap versus Pro becomes irrelevant when the base tier hits your business thresholds on correctness.