GPT-4.1 nano
According to BenchLM.ai, GPT-4.1 nano ranks #93 out of 112 models on the provisional leaderboard with an overall score of 28/100. 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 3 of 153 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 (#30), while its weakest is Multilingual (#87). 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
#78Coding
Reasoning
#30Knowledge
Math
Multilingual
#87Multimodal
#80Inst. Following
#62Benchmark 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.
Compare This Model
See how GPT-4.1 nano stacks up against similar models
Frequently Asked Questions
How does GPT-4.1 nano perform overall in AI benchmarks?
GPT-4.1 nano currently ranks #93 out of 112 models on BenchLM's provisional leaderboard with an overall score of 28 (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 instruction following?
GPT-4.1 nano ranks #62 out of 112 models in instruction following benchmarks with an average score of 60. 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 3 published benchmark scores out of the 153 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.
Related Resources
Don't miss the next GPT moment
Which models moved up, what’s new, and what it costs. One email a week, 3-min read.
Free. One email per week.