GPT-4.1
OpenAI's mid-tier model. Long-context specialist with 1.0M window.
Scores by test
Methodology →What you need to know
GPT-4.1 is optimized for high-precision, long-context tasks, featuring a 1.0M token window and perfect internal scores for faithfulness, persona consistency, and strategic analysis. Its technical strength is most evident in its reliability for constrained rewriting and tool calling, making it a stable choice for complex pipelines where output drift cannot be tolerated.
The model is priced at a premium, with a blended cost of $6.50/MTok. While it ranks 35th overall out of 71 models, its value is concentrated in specialized reasoning rather than general utility. It performs strongly in quantitative domains, scoring 83% on MATH Level 5, though its 38.3% AIME 2025 score suggests a ceiling in elite-level competitive mathematics.
A critical weakness is its safety calibration, which scored 1/5, indicating a lack of alignment or restrictive filtering that may be problematic for public-facing applications. Additionally, its creative problem solving is mediocre, scoring 3/5, suggesting it is better suited for analytical rigor than generative novelty.
Use this model if you require a high-fidelity agent for long-document analysis, structured tool use, or multilingual strategic planning. Skip this model if you are on a tight budget, need a model with strong safety guardrails, or require high levels of creative intuition.
Strengths — Top 3
Relative weaknesses — Bottom 3
Similar models