GPT-5
OpenAI's mid-tier model. Context window: 400K tokens.
Scores by test
Methodology →What you need to know
GPT-5 is a high-performance model optimized for precision and complex reasoning, ranking 7th out of 71 evaluated models. It demonstrates near-perfect proficiency in mathematical and technical tasks, evidenced by a 98.1% score on MATH Level 5 and a 91.4% score on AIME 2025. Its primary technical advantage lies in its reliability for structured workflows, achieving maximum internal scores for tool calling, faithfulness, and structured output.
The model is positioned at a premium price point with a blended cost of $7.81/MTok, reflecting its capability as a top-tier reasoning engine. This cost is justified for developers requiring a massive 400K context window and high-accuracy agentic planning. However, the model shows a significant deficit in safety calibration, scoring only 2/5, which indicates a higher likelihood of generating unfiltered or non-compliant responses compared to other frontier models.
While it excels at strategic analysis and tabular data, it is slightly less effective at creative problem solving and classification. This suggests the model is better suited for deterministic, logic-heavy applications than for open-ended generative tasks or simple categorization.
Use this model if your application requires high-stakes mathematical accuracy, complex agentic orchestration, or the processing of very large documents. Skip this model if you are operating on a tight budget or if your use case requires strict safety guardrails and high calibration.
Strengths — Top 3
Relative weaknesses — Bottom 3
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