Benchmark analysis of GPT-4.1 by OpenAI across 5 tests.
According to BenchLM.ai, GPT-4.1 ranks #74 out of 100 models with an overall score of 43/100. While not a frontier model, it offers specific advantages depending on the use case.
GPT-4.1 is a proprietary model with a 1M token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.
GPT-4.1 sits inside the GPT-4.1 family alongside GPT-4.1 mini, GPT-4.1 nano. BenchLM links it directly to GPT-4o as the earlier related model in that lineage. This profile currently has 5 of 22 tracked benchmarks, so the overall score is conservative until the rest of the suite is filled in.
Its strongest category is Knowledge (#22), while its weakest is Mathematics (#94). This performance profile makes it particularly effective for knowledge-intensive tasks like research, analysis, and factual Q&A.
Creator
OpenAI
Source Type
ProprietaryReasoning
Non-ReasoningContext Window
1M
Overall Score
GPT-4.1 ranks #74 out of 100 models with an overall score of 43. It is created by OpenAI and features a 1M context window.
GPT-4.1 ranks #22 out of 100 models in knowledge and understanding benchmarks with an average score of 78.3. There are stronger options in this category.
GPT-4.1 ranks #34 out of 100 models in coding and programming benchmarks with an average score of 54.6. There are stronger options in this category.
GPT-4.1 ranks #94 out of 100 models in mathematics benchmarks with an average score of 26.4. There are stronger options in this category.
GPT-4.1 ranks #26 out of 100 models in instruction following benchmarks with an average score of 87.4. There are stronger options in this category.
GPT-4.1 belongs to the GPT-4.1 family. Related variants on BenchLM include GPT-4.1 mini, GPT-4.1 nano.
Not yet. GPT-4.1 currently has 5 sourced benchmark scores out of the 22 benchmarks BenchLM tracks, so its overall score is intentionally conservative until more results are added.
GPT-4.1 has a context window of 1M tokens, which determines how much text it can process in a single interaction.
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