Every few weeks, a new model tops a public leaderboard. But in finance and business research, the model isn't the bottleneck anymore. Context is.
Continuous benchmarking at AlphaSense shows GPT-5.6 Sol leading the pack, Opus 5 underperforming its predecessor at 5x the cost, and Gemma 4-31B matching Sonnet 5 quality at 40x lower cost. The lesson: newer isn't automatically better, token price doesn't equal question cost, and per-task model routing beats any single-model strategy by 2.8x.
Chris Ackerson and Daniel Campos break down what months of head-to-head model testing reveal about frontier AI, and the two engineering programs designed to widen the gap even further. Read the full article:
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