# OpenAI 员工详解 GPT-5.6 Sol 五个推理层级适用场景

- 来源：The Decoder：AI News（RSS）
- 作者：Matthias Bastian
- 发布时间：2026-07-11 01:52
- AIHOT 分数：73
- AIHOT 标记：同事件
- AIHOT 链接：https://aihot.virxact.com/items/cmrf95cja007cihxbztrhfw9y
- 原文链接：https://the-decoder.com/openai-staffer-maps-out-which-of-gpt-5-6-sols-five-reasoning-levels-fits-which-task-complexity

## AI 摘要

OpenAI 员工 Vaibhav Srivastav 解释了 GPT-5.6 Sol 五个推理层级的适用场景。“Light”和“Low”用于快速、明确的任务；“Medium”适用于规划和分析；“High”和“xhigh”处理复杂、多步骤工作或“仔细验证”。“Max”让模型在单个问题上花费更多时间，“Ultra”则并行部署多个子智能体分别处理任务的不同部分。更高层级耗时更长、消耗更多模型 token。Srivastav 建议从低层级开始，仅在需要时升级。这些层级与 GPT-5.5 的层级不一一对应，切换用户应从比习惯低一级开始。Sol 的 Pro 层级仍未发布，此前曾在基因组学基准测试论文中泄露。

## 正文

OpenAI employee Vaibhav Srivastav explains when each of GPT-5.6 Sol's five reasoning levels fits. "Light" and "Low" are for quick, clear-cut tasks. "Medium" works for planning and analysis. "High" and "xhigh" handle complex, multi-step work or "careful verification."

"Max" and "Ultra" work differently: "Max" lets a model 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 burn through more tokens. Srivastav recommends starting low and only scaling up when needed. The levels don't map to GPT-5.5's tiers, Srivastav says, and anyone switching over should start one level lower than they're used to.

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None of this brings OpenAI any closer to its stated goal of making ChatGPT so simple that "almost no interface" is needed. On top of that, Sol's Pro tiers are still missing. Those leaked earlier in a genomics benchmark paper. Even ambitious users will struggle to pick the right level without running their own benchmarks, though the setup may help OpenAI collect usage data.