OpenAI: GPT-5.6 Sol
OpenAI's flagship model. Long-context specialist with 1.1M window.
Scores by test
Methodology →What you need to know
GPT-5.6 Sol is a top-tier reasoning model characterized by perfect execution in complex logic and mathematical tasks, as evidenced by its 100% score on AIME 2025. It excels in high-precision requirements, achieving maximum internal scores in structured output, constrained rewriting, and strategic analysis. This makes it particularly effective for workflows requiring strict adherence to formatting or complex multi-step planning.
The model provides a massive 1.1M token context window with a perfect 5/5 internal score for long context performance, ensuring reliability across very large datasets. However, this capability comes at a premium. With a blended cost of $23.75/MTok, it is an expensive option compared to the broader market, positioning it as a high-cost, high-capability tool rather than a general-purpose utility.
Despite its overall rank of #9 out of 120 models, it shows a surprising relative weakness in basic classification, where it scored only 3/5. It also trails slightly behind its other capabilities in tool calling. These gaps suggest that while the model can handle extreme complexity, it may be inefficient or suboptimal for simple labeling tasks.
Use this model if your project requires perfect mathematical reasoning, strict output constraints, or the processing of massive documents. Skip this model if you are performing high-volume simple classification or if your budget cannot support a high per-token cost.
Strengths — Top 3
Relative weaknesses — Bottom 3
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