GPT-4o
OpenAI's efficiency model. Context window: 128K tokens.
Scores by test
Methodology →What you need to know
GPT-4o is most effective as a reliable engine for structured orchestration and persona-driven interactions. It achieves a perfect 5/5 in persona consistency and strong 4/5 scores across tool calling, agentic planning, and structured output. These metrics indicate the model is well-suited for developers building autonomous agents or applications that require strict adherence to a specific brand voice and format.
The model's performance is inconsistent when moving from execution to analysis. While it handles classification and long-context tasks well, it struggles with strategic analysis (2/5) and creative problem solving (3/5). This gap is reflected in its external benchmarks, where it shows limited proficiency in high-level mathematical reasoning, specifically scoring only 6.4% on AIME 2025.
At a blended cost of $8.13 per million tokens, GPT-4o is a premium-priced model that ranks #63 out of 71 overall. Given its low safety calibration score (1/5) and mediocre internal average of 3.46/5.0, the price point is high relative to its general utility. Developers are paying a premium for its specific strengths in agentic workflows rather than general intelligence or reasoning.
Use this model if you need a stable tool for agentic planning, multilingual classification, or maintaining a rigid persona. Skip this model if your use case requires deep strategic reasoning, high-level mathematical accuracy, or strict safety guardrails.
Strengths — Top 3
Relative weaknesses — Bottom 3
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