GPT‑6.1 Sol’s Default-Model Test: Cost per Accepted Agent Task
Miles Park IT engineer and technology analyst based in Virginia. About the author 📌 Key Takeaways Cost per Accepted Task vs. Raw Token Price: Evaluating GPT-6.1 Sol purely by million-token catalog pricing miscalculates production economics. Real-world FinOps requires measuring the cost per accepted agent task —incorporating reasoning efficiency, first-pass acceptance rates, and retry overhead. Prompt Caching Drives the Margin: At the listed short-context rates, Sol’s direct price advantage over GPT‑6 Sol is a halved cached-input rate. Actual task savings depend on measured cache reuse, write charges, output, tools, and retries. The 272K Long-Context Surcharge Boundary: Context payloads exceeding 272,000 input tokens trigger a higher pricing tier across the entire request, eliminating short-context discounts and altering the financial calculus for full-repository scans. Trial Before Default Routing: Published evaluations justify a controlled tr...