Rankings / OpenAI
GPT 4.1 Mini (2025-04-14)
released 2025-04-14
BenchAtlas Index
as of 2026-09-11
high effort
rank #394
8 families · 4 categories · medium
base configuration
rank #395
15 families · 6 categories · high
Benchmark evidence
69 results
agentic coding
| τ²-Bench | 52.9 % | independent | Artificial Analysis | |
| τ²-Bench subset=banking | 5.4 % | independent | Artificial Analysis |
coding
| LiveCodeBench v6 implementation=artificial-analysis | 48.3 % | independent | Artificial Analysis | |
| SciCode | 40.4 % | independent | Artificial Analysis |
external indices
| AA Coding Index | 20.2 points | independent | Artificial Analysis | |
| Intelligence Index v4.1 | 10.2 points | independent | Artificial Analysis | |
| AA Math Index | 46.3 points | independent | Artificial Analysis | |
| ECI | 135.0 points | independent | Epoch AI Benchmarking Hub |
factuality
| MASK contamination=Potential contamination warning: This model was evaluated after the public release of MASK, allowing model builder access to the prompts and solutions. | 50.0 % 47.8–52.2 | independent | Scale Labs | |
| SimpleQA Verified | 12.7 % | independent | Epoch AI Benchmarking Hub 2026-08-31 |
human preference
| Coding (style control)older version arena=text · category=coding · style_control=true | 1433.0 1425.5–1440.6 | community | LMArena Leaderboard Dataset | |
| Industry Software And It Services (style control)older version arena=text · category=industry_software_and_it_services · style_control=true | 1418.2 1412.0–1424.3 | community | LMArena Leaderboard Dataset | |
| Hard Prompts English (style control)older version arena=text · category=hard_prompts_english · style_control=true | 1412.8 1405.5–1420.1 | community | LMArena Leaderboard Dataset | |
| French (style control)older version arena=text · category=french · style_control=true | 1408.3 1382.7–1433.8 | community | LMArena Leaderboard Dataset | |
| Hard Prompts (style control)older version arena=text · category=hard_prompts · style_control=true | 1401.7 1396.0–1407.4 | community | LMArena Leaderboard Dataset | |
| Industry Legal And Government (style control)older version arena=text · category=industry_legal_and_government · style_control=true | 1397.2 1385.1–1409.3 | community | LMArena Leaderboard Dataset | |
| English (style control)older version arena=text · category=english · style_control=true | 1396.2 1390.7–1401.7 | community | LMArena Leaderboard Dataset | |
| Industry Medicine And Healthcare (style control)older version arena=text · category=industry_medicine_and_healthcare · style_control=true | 1395.3 1382.5–1408.1 | community | LMArena Leaderboard Dataset | |
| Multi Turn (style control)older version arena=text · category=multi_turn · style_control=true | 1393.1 1385.5–1400.8 | community | LMArena Leaderboard Dataset | |
| German (style control)older version arena=text · category=german · style_control=true | 1392.0 1373.4–1410.5 | community | LMArena Leaderboard Dataset | |
| Longer Query (style control)older version arena=text · category=longer_query · style_control=true | 1388.8 1381.3–1396.3 | community | LMArena Leaderboard Dataset | |
| Industry Life And Physical And Social Science (style control)older version arena=text · category=industry_life_and_physical_and_social_science · style_control=true | 1384.4 1376.5–1392.3 | community | LMArena Leaderboard Dataset | |
| Chinese (style control)older version arena=text · category=chinese · style_control=true | 1383.9 1371.9–1395.9 | community | LMArena Leaderboard Dataset | |
| Expert (style control)older version arena=text · category=expert · style_control=true | 1383.0 1369.9–1396.0 | community | LMArena Leaderboard Dataset | |
| Overall (style control) arena=text · category=overall · style_control=true | 1382.3 1378.0–1386.7 | community | LMArena Leaderboard Dataset | |
| Polish (style control)older version arena=text · category=polish · style_control=true | 1379.0 1366.7–1391.3 | community | LMArena Leaderboard Dataset | |
| Industry Business And Management And Financial Operations (style control)older version arena=text · category=industry_business_and_management_and_financial_operations · style_control=true | 1378.6 1370.5–1386.7 | community | LMArena Leaderboard Dataset | |
| Instruction Following (style control)older version arena=text · category=instruction_following · style_control=true | 1372.4 1365.9–1378.9 | community | LMArena Leaderboard Dataset | |
| Spanish (style control)older version arena=text · category=spanish · style_control=true | 1368.6 1347.4–1389.8 | community | LMArena Leaderboard Dataset | |
| Russian (style control)older version arena=text · category=russian · style_control=true | 1365.8 1355.3–1376.4 | community | LMArena Leaderboard Dataset | |
| Industry Mathematical (style control)older version arena=text · category=industry_mathematical · style_control=true | 1363.3 1351.6–1374.9 | community | LMArena Leaderboard Dataset | |
| Non English (style control)older version arena=text · category=non_english · style_control=true | 1360.6 1355.3–1365.9 | community | LMArena Leaderboard Dataset | |
| Industry Writing And Literature And Language (style control)older version arena=text · category=industry_writing_and_literature_and_language · style_control=true | 1359.7 1352.8–1366.7 | community | LMArena Leaderboard Dataset | |
| Exclude Ties (style control)older version arena=text · category=exclude_ties · style_control=true | 1358.2 1352.3–1364.1 | community | LMArena Leaderboard Dataset | |
| Math (style control)older version arena=text · category=math · style_control=true | 1353.1 1342.0–1364.2 | community | LMArena Leaderboard Dataset | |
| Creative Writing (style control)older version arena=text · category=creative_writing · style_control=true | 1348.5 1339.7–1357.3 | community | LMArena Leaderboard Dataset | |
| Industry Entertainment And Sports And Media (style control)older version arena=text · category=industry_entertainment_and_sports_and_media · style_control=true | 1347.6 1340.0–1355.2 | community | LMArena Leaderboard Dataset | |
| Korean (style control)older version arena=text · category=korean · style_control=true | 1346.6 1324.8–1368.4 | community | LMArena Leaderboard Dataset | |
| Japanese (style control)older version arena=text · category=japanese · style_control=true | 1329.8 1310.0–1349.5 | community | LMArena Leaderboard Dataset |
knowledge science
| GPQA Diamond implementation=vals-ai | high effort | 67.9 % | independent | Vals AI |
| GPQA Diamond implementation=artificial-analysis | 66.4 % | independent | Artificial Analysis | |
| GPQA Diamond | 65.8 % | independent | Epoch AI Benchmarking Hub 2025-04-14 | |
| Humanity's Last Exam implementation=artificial-analysis | 5.0 % | independent | Artificial Analysis | |
| MMLU-Pro implementation=artificial-analysis | 78.1 % | independent | Artificial Analysis | |
| MMLU-Pro implementation=vals-ai | high effort | 77.2 % | independent | Vals AI |
long context instruction
| AA-LCR | 44.0 % | independent | Artificial Analysis | |
| IFBench | 38.3 % | independent | Artificial Analysis |
multimodal
| MMMU implementation=vals-ai | high effort | 70.5 % | independent | Vals AI |
| VISTA | 41.1 % 40.6–41.7 | independent | Scale Labs |
professional
| CorpFin | high effort | 57.9 % | independent | Vals AI |
| LegalBench | high effort | 78.0 % | independent | Vals AI |
| MedQA | high effort | 84.6 % | independent | Vals AI |
| TaxEval | high effort | 71.9 % | independent | Vals AI |
reasoning math
| AIME implementation=vals-ai | high effort | 49.4 % | independent | Vals AI |
| AIME year=2025 · implementation=artificial-analysis | 46.3 % | independent | Artificial Analysis | |
| AIME implementation=artificial-analysis | 43.0 % | independent | Artificial Analysis | |
| ARC-AGI-1older version split=public_eval · model_type=Base LLM | 7.3 % | independent | ARC Prize Leaderboard | |
| ARC-AGI-1older version split=semi_private · model_type=Base LLM | 3.5 % | independent | ARC Prize Leaderboard | |
| ARC-AGI-2 split=semi_private · model_type=Base LLM | 0.0 usd_per_task | independent | ARC Prize Leaderboard | |
| ARC-AGI-2 split=public_eval · model_type=Base LLM | 0.0 usd_per_task | independent | ARC Prize Leaderboard | |
| ARC-AGI-1older version split=semi_private · model_type=Base LLM | 0.0 usd_per_task | independent | ARC Prize Leaderboard | |
| ARC-AGI-1older version split=public_eval · model_type=Base LLM | 0.0 usd_per_task | independent | ARC Prize Leaderboard | |
| ARC-AGI-2 split=semi_private · model_type=Base LLM | 0.0 % | independent | ARC Prize Leaderboard | |
| ARC-AGI-2 split=public_eval · model_type=Base LLM | 0.0 % | independent | ARC Prize Leaderboard | |
| FrontierMath | 4.5 % | independent | Epoch AI Benchmarking Hub 2025-04-14 | |
| MATH-500 implementation=artificial-analysis | 92.5 % | independent | Artificial Analysis | |
| MATH-500 implementation=vals-ai | high effort | 88.0 % | independent | Vals AI |
| MATH Level 5 | 87.3 % | independent | Epoch AI Benchmarking Hub 2025-04-14 | |
| OTIS Mock AIME 2024–2025 | 44.7 % | independent | Epoch AI Benchmarking Hub 2025-04-14 |
Agent + model results
systems, not bare-model scores
| agent + model Artificial Analysis harness + GPT 4.1 Mini (2025-04-14) | Terminal-Bench 2.1 | 10.1 % | independent | Artificial Analysis |
| agent + model Artificial Analysis harness + GPT 4.1 Mini (2025-04-14) | Terminal-Bench Hard | 7.6 % | independent | Artificial Analysis |
These scores measure the whole agent system (scaffold, tools, budgets) — they are never merged into the bare model’s numbers.