Model ML completes finance work more efficiently with GPT-5.6 Sol
Model ML's Composite eval also found GPT-5.6 Sol used 36% fewer tokens per Excel workbook than Opus 5.
- GPT-5.6 Sol completed the PowerPoint workflow in 100% of test cases vs 76% for Opus 5, and cleared the professional-readiness gate in 43.3% of cases vs 26.7%.
- Model ML expanded GPT-5.6 Sol in production, including workflows previously handled by Opus 4.8.
- At one global asset manager, a bespoke tearsheet that took an analyst about an hour now takes about five minutes.
- Model ML agents processed virtual data rooms containing more than 100,000 rows and hundreds of files in one pass.
Finance teams using Model ML can now produce editable, traceable decks and workbooks with fewer tokens, moving straight into review instead of rebuilding deliverables.
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