Model profile
GPT-4.1 nano
Evidence coverage
21 of 323 tracked benchmarks are published. 4 are verified and 17 provisional. 7 of 8 categories are measured.
- Published / tracked
- 21 / 323
- Verified
- 4
- Provisional
- 17
- Categories with evidence
- 7 / 8
Evidence by category
- Agentic4 benchmarksReported
- Coding2 benchmarksReported
- Reasoning2 benchmarksReported
- Knowledge8 benchmarksMixed evidence
- Math1 benchmarkVerified
- Multilingual0 benchmarksNot measured
- Multimodal2 benchmarksReported
- Inst. Following2 benchmarksMixed evidence
GPT-4.1 nano ranks #161 out of 200 models on the public leaderboard with an overall score of 42.06/100. 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 21 of 323 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 Instruction Following (#21), while its weakest is Coding (#102). This performance profile makes it a well-rounded choice across a range of tasks.
Peer position
Exact provisional scores and ranks for the closest listed peers. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.
Range 41.42–42.58
- DeepSeek R1 Distill Qwen 32BDeepSeekCompare#16042.58DeepSeek R1 Distill Qwen 32B is #160 with a score of 42.58.
- GPT-4.1 nanoCurrent modelOpenAI#16142.06GPT-4.1 nano is #161 with a score of 42.06.
- Gemma 4 E2BGoogleCompare#16241.82Gemma 4 E2B is #162 with a score of 41.82.
- Mistral Large 2MistralCompare#16341.77Mistral Large 2 is #163 with a score of 41.77.
- Gemma 3 27BGoogleCompare#16441.57Gemma 3 27B is #164 with a score of 41.57.
- GPT-4oOpenAICompare#16541.49GPT-4o is #165 with a score of 41.49.
- LFM2.5-8B-A1BLiquidAICompare#16641.42LFM2.5-8B-A1B is #166 with a score of 41.42.
Category percentile
More
Relative position among models eligible for each sourced category. A higher percentile means a stronger position within that category's ranked cohort; 100 is highest.
- Inst. Following33%Eligible cohort rank #21 of 31Category score 59.1
- Agentic21%Eligible cohort rank #94 of 119Category score 40.2
- Coding17%Eligible cohort rank #102 of 122Category score 42.1
Category evidence
Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank #94 of 119Percentile 21stWeight 22%4 benchmarksReported | 40.2 | #94 of 119 | 21st | 22% | 4 benchmarks | Reported |
| CodingRank #102 of 122Percentile 17thWeight 20%2 benchmarksReported | 42.1 | #102 of 122 | 17th | 20% | 2 benchmarks | Reported |
| ReasoningRank Not rankedWeight 17%2 benchmarksReported | 74.1 | Not ranked | Not available | 17% | 2 benchmarks | Reported |
| KnowledgeRank Not rankedWeight 12%8 benchmarksMixed sources | 39.1 | Not ranked | Not available | 12% | 8 benchmarks | Mixed sources |
| MathRank Not rankedWeight 5%1 benchmarkVerified | 25.7 | Not ranked | Not available | 5% | 1 benchmark | Verified |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalRank Not rankedWeight 12%2 benchmarksReported | 58.6 | Not ranked | Not available | 12% | 2 benchmarks | Reported |
| Inst. FollowingRank #21 of 31Percentile 33rdWeight 5%2 benchmarksMixed sources | 59.1 | #21 of 31 | 33rd | 5% | 2 benchmarks | Mixed sources |
Benchmark Details
Rows below have a displayable published verification record. Each source link and provenance note remains in the page HTML while its category is closed. Source-unverified manual rows and generated rows stay hidden.
Agentic4 benchmarks
Artificial Analysis Agentic Index
τ²-Bench Tool-Agent-User Evaluation
GDPval-AA normalized
Coding2 benchmarks
Artificial Analysis Coding Index
Artificial Analysis SciCode
Reasoning2 benchmarks
Artificial Analysis Long Context Reasoning
Critical Physics Tasks
Knowledge8 benchmarks
Graduate-Level Google-Proof Q&A
Massive Multitask Language Understanding
Artificial Analysis GPQA Diamond
Artificial Analysis Humanity's Last Exam
Artificial Analysis Omniscience Index
Artificial Analysis Omniscience Accuracy
Artificial Analysis Omniscience Hallucination Rate
Math1 benchmark
FrontierMath v2 Tiers 1-3
Multimodal2 benchmarks
Artificial Analysis MMMU-Pro
Design Arena Website Elo
Inst. Following2 benchmarks
Instruction-Following Eval
Artificial Analysis IFBench
Frequently Asked Questions
How does GPT-4.1 nano perform overall in AI benchmarks?
GPT-4.1 nano has 21 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.
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 ranks #102 out of 122 models in coding and programming benchmarks with an average score of 42.1. There are stronger options in this category.
Is GPT-4.1 nano good for mathematics?
GPT-4.1 nano has visible benchmark coverage in mathematics, 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 has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.
Is GPT-4.1 nano good for agentic tool use and computer tasks?
GPT-4.1 nano ranks #94 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 40.2. There are stronger options in this category.
Is GPT-4.1 nano good for multimodal and grounded tasks?
GPT-4.1 nano has visible benchmark coverage in multimodal and grounded tasks, 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 #21 out of 31 models in instruction following benchmarks with an average score of 59.1. 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 21 published benchmark scores out of the 323 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 published context window of 1M, which determines how much text it can process in a single interaction.
Related Resources
Choose with this week’s evidence
Join 2,000+ readers for ranking moves, new releases, pricing changes, and the evidence behind them.
Free. One email per week.