Bank of America launches AI tracker covering model intelligence and costs

Wall Street is watching the AI arms race more closely than ever, and Bank of America just built a scoreboard. The bank has launched an internal AI model tracker that evaluates leading large language models across two dimensions that actually matter to enterprise buyers: how smart the model is, and how much it costs to run. The tracker places Anthropic’s Claude family at the top of its intelligence index, with scores around 63 for the Opus and Sonnet variants. Those models also rank high on usage intensity, meaning organizations running Claude are spending more, likely because the performance justifies it. What the tracker actually measures The tool benchmarks LLMs on a composite intelligence score while simultaneously tracking per-million-token pricing and GPU rental rates, the two cost levers that determine whether an AI deployment is financially viable at scale. Per-token pricing is essentially the meter running every time a model reads or writes text. At high volumes, even small differences in price per million tokens compound into meaningful budget line items. GPU rental rates, meanwhile, determine what it costs to fine-tune or host models privately, a consideration for banks h...