Basis cuts tax workbook time in half with GPT-6 Astra

Accounting AI startup Basis tested GPT-6 Astra against GPT-5.6 Sol on a 50-tab tax workbook. Astra finished 50% faster. Basis says Astra understands user intent better, picks a more direct path from the start, and wastes fewer tokens. The model also adjusts reasoning effort per step—more compute for hard parts, less for easy ones—while keeping its cache intact. Internal eval scores improved ~20%, driven by Astra knowing when to ask questions, flag assumptions, or follow templates without explicit rules. The post doesn't disclose exact latency or cost figures, only says it's "more economical."