GPT-5.2
OpenAI's flagship model. Context window: 400K tokens.
Scores by test
Methodology →What you need to know
GPT-5.2 is engineered for high-complexity cognitive tasks, specifically excelling in agentic planning, strategic analysis, and creative problem solving. Its performance on AIME 2025 (96.1%) and SWE-bench Verified (73.8%) indicates a high ceiling for mathematical reasoning and software engineering automation. With a 400K context window and a 5/5 internal score for long context and faithfulness, it is reliable for processing large datasets without losing coherence.
The pricing is aggressive, with a blended cost of $10.94/MTok and a significant premium on output tokens at $14.00/MTok. This makes it one of the more expensive options available, meaning the cost is only justifiable for high-value outputs where accuracy is critical. While it ranks #3 overall, its relative weaknesses in structured output and classification suggest it is less optimized for simple data extraction or rigid formatting than for complex reasoning.
Use this model for autonomous agents, sophisticated codebase migrations, or strategic planning where failure costs are high. Skip this model for high-volume classification tasks, simple rewriting, or budget-constrained projects where a cheaper, specialized model can handle structured data.
Strengths — Top 3
Relative weaknesses — Bottom 3
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