Model ML completes finance work more efficiently with GPT-5.6 Sol
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Model ML uses GPT‑5.6 Sol in workflows that create editable PowerPoint and Excel files, with 21% fewer tokens per deck than Fable 5.
Key facts
- In Model ML’s Composite, the company’s evaluation benchmark for AI in financial services, GPT‑5.6 Sol used 36% fewer tokens per workbook than Opus 5 in an Excel workflow
- Model ML uses GPT‑5.6 Sol in workflows that create editable PowerPoint and Excel files, with 21% fewer tokens per deck than Fable 5
- GPT‑5.6 Sol completed the PowerPoint workflow in 100% of test cases, compared with 76% for Opus 5, and cleared Model ML’s professional-readiness gate, a measure of whether the output was ready
- The example below shows how Model ML’s PowerPoint output improved from GPT‑5.5 to GPT‑5.6 Sol, including clearer hierarchy and more consistent slide design
Summary
Minutes to build a bespoke tearsheet, down from about one hour. Before financial analysis can stand up in front of clients or senior decision-makers, teams have to carry it through a demanding last mile: reconciling evidence, building and formatting the file, checking every number, and linking each claim to its source. Model ML cofounders and brothers Arnie and Chaz Englander saw how much work that required when, after two successful exits, they began investing through a private family office and, as builders do, building software to help themselves. Grown out of that software, Model ML’s agents help finance professionals carry a workflow from the initial request through research, analysis, and a finished deck or workbook.