GPT-5.1
OpenAI's mid-tier model. Context window: 400K tokens.
Scores by test
Methodology →What you need to know
GPT-5.1 is optimized for high-fidelity retrieval and complex reasoning over large datasets, distinguished by perfect internal scores in faithfulness, long context handling, and persona consistency. Its 400K context window is backed by a 5/5 long context rating, making it a reliable choice for applications requiring strict adherence to provided source material without hallucination.
The model demonstrates strong technical capabilities, particularly in mathematics and coding, as evidenced by an 88.6% AIME 2025 score and 68% on SWE-bench Verified. However, it struggles with safety calibration, scoring 2/5 internally, which indicates a higher risk of generating unfiltered or non-compliant content compared to other models in its class.
At a blended cost of $7.81/MTok, this model is positioned at a premium price point. While it ranks #34 of 71 overall, its value is concentrated in strategic analysis and multilingual tasks rather than general-purpose classification or structured output, where it performs adequately but not exceptionally.
Use this model if your workflow requires high factual accuracy, complex strategic planning, or the processing of massive documents. Skip this model if you require strict safety guardrails or a cost-effective solution for simple classification and structured data extraction.
Strengths — Top 3
Relative weaknesses — Bottom 3
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