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OpenAI: Mapping the Reasoning Levels of GPT-5.6 Sol

🤖 Models & LLM·Tom Levy·

OpenAI: Mapping the Reasoning Levels of GPT-5.6 Sol

OpenAI: Mapping the Reasoning Levels of GPT-5.6 Sol
Key Takeaways
1OpenAI's GPT-5.6 Sol has five levels of reasoning, from "Light" to "xhigh."
2The "Max" and "Ultra" modes use multiple sub-agents in parallel.
3Vaibhav Srivastav recommends starting with a low level and adjusting as needed.
💡Why it mattersThis mapping allows for optimizing the use of GPT-5.6 Sol according to the complexity of tasks.
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Full Analysis

OpenAI: Mapping the Reasoning Levels of GPT-5.6 Sol

OpenAI employee Vaibhav Srivastav explains when each of the five reasoning levels of GPT-5.6 Sol is appropriate.

  • "Light" and "Low" are intended for quick and simple tasks.
  • "Medium" is suitable for planning and analysis.
  • "High" and "xhigh" handle complex, multi-step tasks or those requiring "careful verification."

The "Max" and "Ultra" levels operate differently:

  • "Max" allows a model to spend more time on a single problem.
  • "Ultra" deploys multiple sub-agents in parallel, each tackling a different part of a task.

Higher levels take more time and consume more tokens. Srivastav recommends starting at a lower level and only increasing if necessary. According to him, the levels do not correspond to the categories of GPT-5.5, and anyone transitioning should start at a level lower than what they are accustomed to.

This does not bring OpenAI closer to its stated goal of making ChatGPT so simple that "no interface" is needed. Additionally, the Pro levels of Sol are still missing, having been leaked earlier in an article on genomics benchmarks. Even ambitious users will struggle to choose the right level without conducting their own benchmarks, although this setup may help OpenAI collect usage data.

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