GPT-4.1 nano
According to BenchLM.ai, GPT-4.1 nano ranks #97 out of 119 models on the provisional leaderboard with an overall score of 27/100. It does not yet have enough sourced coverage for BenchLM's verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.
GPT-4.1 nano 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 nano sits inside the GPT-4.1 family alongside GPT-4.1, GPT-4.1 mini. This profile currently has 20 of 225 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Its strongest category is Reasoning (#29), while its weakest is Multilingual (#89). This performance profile makes it particularly strong for complex reasoning, multi-step problem solving, and analytical tasks.
Ranking Distribution
Category rank across 7 benchmark categories — sorted by best rank
Category Performance
Scores across all benchmark categories (0-100 scale)
Category Breakdown
Agentic
#77Coding
Reasoning
#29Knowledge
Math
Multilingual
#89Multimodal
#76Inst. Following
#67Benchmark Details
Only benchmark rows with an attached exact-source record are shown here. Source-unverified manual rows and generated rows are hidden from model pages.
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Frequently Asked Questions
How does GPT-4.1 nano perform overall in AI benchmarks?
GPT-4.1 nano currently ranks #97 out of 119 models on BenchLM's provisional leaderboard with an overall score of 27 (estimated). It is created by OpenAI and features a 1M context window.
Is GPT-4.1 nano good for knowledge and understanding?
GPT-4.1 nano has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.
Is GPT-4.1 nano good for coding and programming?
GPT-4.1 nano has visible benchmark coverage in coding and programming, but BenchLM does not currently assign it a global category rank there.
Is GPT-4.1 nano good for reasoning and logic?
GPT-4.1 nano ranks #29 out of 119 models in reasoning and logic benchmarks with an average score of 66.7. There are stronger options in this category.
Is GPT-4.1 nano good for agentic tool use and computer tasks?
GPT-4.1 nano ranks #77 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 22.9. There are stronger options in this category.
Is GPT-4.1 nano good for multimodal and grounded tasks?
GPT-4.1 nano ranks #76 out of 119 models in multimodal and grounded tasks benchmarks with an average score of 37.6. There are stronger options in this category.
Is GPT-4.1 nano good for instruction following?
GPT-4.1 nano ranks #67 out of 119 models in instruction following benchmarks with an average score of 59.3. There are stronger options in this category.
Which sibling models are related to GPT-4.1 nano?
GPT-4.1 nano belongs to the GPT-4.1 family. Related variants on BenchLM include GPT-4.1, GPT-4.1 mini.
Does GPT-4.1 nano have full benchmark coverage on BenchLM?
Not yet. GPT-4.1 nano currently has 20 published benchmark scores out of the 225 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
What is the context window size of GPT-4.1 nano?
GPT-4.1 nano has a context window of 1M, which determines how much text it can process in a single interaction.
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