GPT-5.6 Sol's reasoning levels explained
Curated by the Inblix editorial team
OpenAI staffer Vaibhav Srivastav broke down GPT-5.6 Sol’s five reasoning levels, matching them to task complexity. “Light” and “Low” are for quick, clear-cut jobs. “Medium” handles planning and analysis. “High” and “xhigh” tackle complex multi-step work or careful verification. “Max” lets the model spend more time on a single problem, while “Ultra” spins up multiple sub-agents in parallel. Higher levels cost more tokens and take longer. Srivastav recommends starting low and scaling up as needed. Importantly, these levels don’t mirror GPT-5.5’s tiers, so switchers should start one level lower. Still, this complexity undercuts OpenAI’s goal of a frictionless ChatGPT. The missing Pro tiers and the need for users to run their own benchmarks add friction. Why it matters: This tiered reasoning is a pragmatic step for power users, but it risks alienating everyday users who just want a magic box, not a settings menu.
💡 Key Takeaways
- GPT-5.6 Sol introduces five reasoning levels tailored to task complexity, from quick tasks to complex multi-step work.
- Higher reasoning levels consume more tokens and time, so starting low and scaling up is recommended.
- The new levels don't align with GPT-5.5's tiers, requiring users switching over to start one level lower.
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