How does GPT 5.6 perform for complex analysis for an enterprise use case? Box CTO Ben Kus breaks down when newer models make a real difference. Not every task needs the most powerful AI model available. But when the analysis is complex, the decision is strategic, and mistakes are costly, that's exactly when model quality matters most. In this short explainer, Ben Kus, CTO of Box, walks through a live comparison of GPT-5.6 Sol and GPT-5.2 applied to a real enterprise scenario: analyzing supplier data to answer the question, "Which supplier should we drop, and what are they really costing us?" The setup includes a folder of supplier data, delivery records, defects, spend history, and a sourcing policy, and both models are asked to analyze which suppliers are performing against stated criteria. GPT-5.2 produces a sophisticated output. It's the kind of analysis that would take a person hours to complete manually, and the AI handles it quickly. For many use cases, that's more than enough. But GPT-5.6 Sol goes further. The results are better across the board, more nuanced, more thorough, and more aligned to the complexity of the question. Ben describes it as the difference between a newer analyst and a more experienced one: same task, meaningfully different quality of judgment. The key insight: model selection isn't about always using the newest or most powerful option. It's about matching the model to the stakes of the task. For routine work, older and smaller models often perform well. For high-stakes decisions such as strategic sourcing, complex contract review, multi-variable analysis, the newer models like GPT-5.6 Sol are built for exactly that kind of complex instruction following, and they make fewer mistakes. This is part of Box's AI Explainer Series: short, practical videos that help enterprise teams understand how to get the most out of AI in their workflows. FAQs: Q: What is GPT-5.6 Sol and how is it different from GPT-5.2? A: GPT-5.6 Sol is a newer, more capable model from OpenAI. According to Ben Kus, it is particularly strong at complex instruction following and makes fewer mistakes than older models like GPT-5.2, especially on high-stakes, multi-variable analysis tasks. Q: Do I always need to use the newest AI model? A: No. For tasks you've been doing with AI for a while, older and smaller models often work well. The newer models are most valuable when you're doing something important, complex, or strategically significant, where the quality of the analysis directly affects a decision. Q: What kind of tasks benefit most from GPT-5.6 Sol? A: Tasks that involve complex instruction following, multi-variable analysis, or high-stakes decisions, like supplier evaluation, contract review, or strategic sourcing, are where the newer models show the clearest advantage. Q: How does Box use AI models like GPT-5.6 Sol? A: Box connects your enterprise content such as documents, contracts, supplier data, policies, to AI models so they can analyze, extract, and reason over your actual business data. The model runs on your content through Box, with your existing permissions and governance automatically enforced.

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