Model profile
GPT-4.1
Evidence coverage
20 of 323 tracked benchmarks are published. 7 are verified and 13 provisional. 7 of 8 categories are measured.
- Published / tracked
- 20 / 323
- Verified
- 7
- Provisional
- 13
- Categories with evidence
- 7 / 8
Evidence by category
- Agentic2 benchmarksMixed evidence
- Coding2 benchmarksMixed evidence
- Reasoning2 benchmarksReported
- Knowledge8 benchmarksMixed evidence
- Math2 benchmarksVerified
- Multilingual0 benchmarksNot measured
- Multimodal2 benchmarksReported
- Inst. Following2 benchmarksMixed evidence
GPT-4.1 ranks #108 out of 200 models on the public leaderboard with an overall score of 51.11/100. It also ranks #60 out of 99 on the verified leaderboard. 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 nano, GPT-4.1 mini. BenchLM links it directly to GPT-4o as the earlier related model in that lineage. This profile currently has 20 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 (#20), while its weakest is Coding (#70). 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 50.83–51.28
- Mercury 2InceptionCompare#10551.28Mercury 2 is #105 with a score of 51.28.
- GLM-4.7-FlashZ.AICompare#10651.25GLM-4.7-Flash is #106 with a score of 51.25.
- Grok 4.1 FastxAICompare#10751.25Grok 4.1 Fast is #107 with a score of 51.25.
- GPT-4.1Current modelOpenAI#10851.11GPT-4.1 is #108 with a score of 51.11.
- Nemotron 3 Super 120B A12BNVIDIACompare#10950.97Nemotron 3 Super 120B A12B is #109 with a score of 50.97.
- Step 3.7 FlashStepFunCompare#11050.87Step 3.7 Flash is #110 with a score of 50.87.
- Gemini 3.1 Flash-LiteGoogleCompare#11150.83Gemini 3.1 Flash-Lite is #111 with a score of 50.83.
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. Following37%Eligible cohort rank #20 of 31Category score 71.4
- Coding43%Eligible cohort rank #70 of 122Category score 49.2
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 Not rankedWeight 22%2 benchmarksMixed sources | 65.0 | Not ranked | Not available | 22% | 2 benchmarks | Mixed sources |
| CodingRank #70 of 122Percentile 43rdWeight 20%2 benchmarksMixed sources | 49.2 | #70 of 122 | 43rd | 20% | 2 benchmarks | Mixed sources |
| ReasoningRank Not rankedWeight 17%2 benchmarksReported | 80.9 | Not ranked | Not available | 17% | 2 benchmarks | Reported |
| KnowledgeRank Not rankedWeight 12%8 benchmarksMixed sources | 55.0 | Not ranked | Not available | 12% | 8 benchmarks | Mixed sources |
| MathRank Not rankedWeight 5%2 benchmarksVerified | 28.3 | Not ranked | Not available | 5% | 2 benchmarks | Verified |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalRank Not rankedWeight 12%2 benchmarksReported | 73.2 | Not ranked | Not available | 12% | 2 benchmarks | Reported |
| Inst. FollowingRank #20 of 31Percentile 37thWeight 5%2 benchmarksMixed sources | 71.4 | #20 of 31 | 37th | 5% | 2 benchmarks | Mixed sources |
Chatbot Arena performance
Scroll horizontally to inspect confidence intervals and vote counts.
| View | Elo | Confidence interval | Votes |
|---|---|---|---|
| Text Overall | 1413 | Not available | Not available |
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.
Agentic2 benchmarks
τ²-Bench Tool-Agent-User Evaluation
Gert Labs Composite Game Benchmark
Coding2 benchmarks
Software Engineering Benchmark Verified
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
Math2 benchmarks
FrontierMath v2 Tiers 1-3
FrontierMath v2 Tier 4
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 perform overall in AI benchmarks?
GPT-4.1 has 20 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 good for knowledge and understanding?
GPT-4.1 has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.
Is GPT-4.1 good for coding and programming?
GPT-4.1 ranks #70 out of 122 models in coding and programming benchmarks with an average score of 49.2. There are stronger options in this category.
Is GPT-4.1 good for mathematics?
GPT-4.1 has visible benchmark coverage in mathematics, but BenchLM does not currently assign it a global category rank there.
Is GPT-4.1 good for reasoning and logic?
GPT-4.1 has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.
Is GPT-4.1 good for agentic tool use and computer tasks?
GPT-4.1 has visible benchmark coverage in agentic tool use and computer tasks, but BenchLM does not currently assign it a global category rank there.
Is GPT-4.1 good for multimodal and grounded tasks?
GPT-4.1 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 good for instruction following?
GPT-4.1 ranks #20 out of 31 models in instruction following benchmarks with an average score of 71.4. There are stronger options in this category.
Which sibling models are related to GPT-4.1?
GPT-4.1 belongs to the GPT-4.1 family. Related variants on BenchLM include GPT-4.1 nano, GPT-4.1 mini.
Does GPT-4.1 have full benchmark coverage on BenchLM?
Not yet. GPT-4.1 currently has 20 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?
GPT-4.1 has a published context window of 1M, which determines how much text it can process in a single interaction.
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