Benchmark analysis of GPT-5.4 Pro by OpenAI across 22 tests.
According to BenchLM.ai, GPT-5.4 Pro ranks #1 out of 100 models with an overall score of 94/100. This places it among the top tier of AI models available in 2026, competing directly with the strongest models from all major AI labs.
GPT-5.4 Pro is a proprietary model with a 1.05M token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.
GPT-5.4 Pro sits inside the GPT-5.4 family alongside GPT-5.4.
Its strongest category is Knowledge (#1), while its weakest is Knowledge (#1). This performance profile makes it particularly effective for knowledge-intensive tasks like research, analysis, and factual Q&A.
Creator
OpenAI
Source Type
ProprietaryReasoning
ReasoningContext Window
1.05M
Overall Score
Arena Elo
1472
GPT-5.4 Pro ranks #1 out of 100 models with an overall score of 94. It is created by OpenAI and features a 1.05M context window.
GPT-5.4 Pro ranks #1 out of 100 models in knowledge and understanding benchmarks with an average score of 88.8. It is among the top performers in this category.
GPT-5.4 Pro ranks #1 out of 100 models in coding and programming benchmarks with an average score of 89. It is among the top performers in this category.
GPT-5.4 Pro ranks #1 out of 100 models in mathematics benchmarks with an average score of 98. It is among the top performers in this category.
GPT-5.4 Pro ranks #1 out of 100 models in reasoning and logic benchmarks with an average score of 96.7. It is among the top performers in this category.
GPT-5.4 Pro ranks #1 out of 100 models in instruction following benchmarks with an average score of 97. It is among the top performers in this category.
GPT-5.4 Pro ranks #1 out of 100 models in multilingual tasks benchmarks with an average score of 97. It is among the top performers in this category.
GPT-5.4 Pro belongs to the GPT-5.4 family. Related variants on BenchLM include GPT-5.4.
GPT-5.4 Pro has a context window of 1.05M tokens, which determines how much text it can process in a single interaction.
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