OpenAI: GPT-5.6 Sol Pro
OpenAI's efficiency model. Long-context specialist with 1.1M window.
Scores by test
Methodology →What you need to know
GPT-5.6 Sol Pro is designed for high-complexity reasoning and precision, excelling in agentic planning, strategic analysis, and tabular data processing. With perfect scores in faithfulness and creative problem solving, it is optimized for tasks requiring strict adherence to source material and complex logic. Its 1.1M context window supports large-scale data ingestion, though its internal long-context performance is slightly lower than its peak reasoning capabilities.
The model is positioned at a high price point, with a blended cost of $23.75 per million tokens. This premium reflects its capability as a top-tier reasoning engine, ranking 31st out of 120 models. While it delivers exceptional quality in persona consistency and multilingual tasks, the cost per token is significantly higher than standard utility models, making it a specialized tool rather than a general-purpose API.
Technical limitations appear in safety calibration and structured output, where it performs below its peak reasoning levels. Developers should expect more volatility in safety guardrails and may need additional validation for strictly formatted outputs compared to the model's near-perfect performance in strategic analysis.
Use this model for complex agentic workflows, deep strategic analysis, or high-fidelity multilingual applications where accuracy and reasoning outweigh cost. Skip this model if you are budget-constrained, require rigid safety calibrations, or need a low-cost solution for simple classification and structured data extraction.
Strengths — Top 3
Relative weaknesses — Bottom 3
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