Rankings / OpenAI
O3 Mini (2025-01-31)
proprietaryreleased 2025-01-31
BenchAtlas Index
as of 2026-07-14
high effort
rank #328
15 families · 5 categories · high
base configuration
rank #330
8 families · 4 categories · medium
medium effort
rank #341
7 families · 4 categories · medium
Benchmark evidence
128 results
agentic coding
| τ²-Bench | high effort | 31.3 % | independent | Artificial Analysis |
| τ²-Bench | 28.6 % | independent | Artificial Analysis | |
| τ²-Bench subset=banking | high effort | 5.2 % | independent | Artificial Analysis |
coding
| LiveCodeBench v6 implementation=artificial-analysis | high effort | 73.4 % | independent | Artificial Analysis |
| LiveCodeBench v6 implementation=artificial-analysis | 71.7 % | independent | Artificial Analysis | |
| LiveCodeBench v5older version problems=279 · window_start=2024-08-01 | high effort | 69.5 % | independent | LiveCodeBench Leaderboard |
| LiveCodeBench v6 problems=454 · window_start=2024-08-01 | high effort | 67.4 % | independent | LiveCodeBench Leaderboard |
| LiveCodeBench v5older version problems=279 · window_start=2024-08-01 | medium effort | 67.4 % | independent | LiveCodeBench Leaderboard |
| LiveCodeBench v6 problems=454 · window_start=2024-08-01 | medium effort | 63.0 % | independent | LiveCodeBench Leaderboard |
| LiveCodeBench v5older version problems=279 · window_start=2024-08-01 | low effort | 60.9 % | independent | LiveCodeBench Leaderboard |
| LiveCodeBench v6 problems=454 · window_start=2024-08-01 | low effort | 57.0 % | independent | LiveCodeBench Leaderboard |
| SciCode | 39.9 % | independent | Artificial Analysis | |
| SciCode | high effort | 39.8 % | independent | Artificial Analysis |
external indices
| AA Coding Index | high effort | 16.3 points | independent | Artificial Analysis |
| Intelligence Index v4.1 | 19.0 points | independent | Artificial Analysis | |
| Intelligence Index v4.1 | high effort | 15.6 points | independent | Artificial Analysis |
| ECI | medium effort | 141.4 points | independent | Epoch AI Benchmarking Hub |
| ECI | 141.4 points | independent | Epoch AI Benchmarking Hub | |
| ECI | low effort | 141.4 points | independent | Epoch AI Benchmarking Hub |
| ECI | high effort | 141.4 points | independent | Epoch AI Benchmarking Hub |
factuality
| MASK | low effort | 49.7 % 46.5–53.0 | independent | Scale Labs |
| MASK | medium effort | 48.9 % 47.7–50.2 | independent | Scale Labs |
| MASK | high effort | 46.8 % 44.2–49.4 | independent | Scale Labs |
human preference
| Coding (style control)older version arena=text · category=coding · style_control=true | high effort | 1434.7 1423.2–1446.2 | community | LMArena Leaderboard Dataset |
| Coding (style control)older version arena=text · category=coding · style_control=true | 1416.0 1409.5–1422.4 | community | LMArena Leaderboard Dataset | |
| Hard Prompts English (style control)older version arena=text · category=hard_prompts_english · style_control=true | high effort | 1413.9 1403.0–1424.7 | community | LMArena Leaderboard Dataset |
| Chinese (style control)older version arena=text · category=chinese · style_control=true | high effort | 1412.3 1395.0–1429.5 | community | LMArena Leaderboard Dataset |
| Industry Mathematical (style control)older version arena=text · category=industry_mathematical · style_control=true | high effort | 1412.2 1398.4–1425.9 | community | LMArena Leaderboard Dataset |
| Industry Software And It Services (style control)older version arena=text · category=industry_software_and_it_services · style_control=true | high effort | 1410.8 1401.6–1420.1 | community | LMArena Leaderboard Dataset |
| Math (style control)older version arena=text · category=math · style_control=true | high effort | 1405.5 1392.4–1418.5 | community | LMArena Leaderboard Dataset |
| Hard Prompts (style control)older version arena=text · category=hard_prompts · style_control=true | high effort | 1401.2 1392.1–1410.3 | community | LMArena Leaderboard Dataset |
| Expert (style control)older version arena=text · category=expert · style_control=true | high effort | 1397.0 1376.6–1417.3 | community | LMArena Leaderboard Dataset |
| Industry Mathematical (style control)older version arena=text · category=industry_mathematical · style_control=true | 1391.6 1382.8–1400.5 | community | LMArena Leaderboard Dataset | |
| Industry Software And It Services (style control)older version arena=text · category=industry_software_and_it_services · style_control=true | 1389.5 1384.3–1394.8 | community | LMArena Leaderboard Dataset | |
| Hard Prompts English (style control)older version arena=text · category=hard_prompts_english · style_control=true | 1383.3 1377.3–1389.3 | community | LMArena Leaderboard Dataset | |
| Math (style control)older version arena=text · category=math · style_control=true | 1381.8 1373.3–1390.3 | community | LMArena Leaderboard Dataset | |
| English (style control)older version arena=text · category=english · style_control=true | high effort | 1379.0 1372.5–1385.5 | 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 | high effort | 1372.5 1362.0–1382.9 | community | LMArena Leaderboard Dataset |
| Longer Query (style control)older version arena=text · category=longer_query · style_control=true | high effort | 1372.5 1360.2–1384.7 | community | LMArena Leaderboard Dataset |
| Hard Prompts (style control)older version arena=text · category=hard_prompts · style_control=true | 1370.2 1365.4–1375.1 | community | LMArena Leaderboard Dataset | |
| Industry Medicine And Healthcare (style control)older version arena=text · category=industry_medicine_and_healthcare · style_control=true | high effort | 1367.8 1346.9–1388.7 | community | LMArena Leaderboard Dataset |
| Instruction Following (style control)older version arena=text · category=instruction_following · style_control=true | high effort | 1366.5 1358.8–1374.1 | community | LMArena Leaderboard Dataset |
| Expert (style control)older version arena=text · category=expert · style_control=true | 1365.3 1353.9–1376.6 | community | LMArena Leaderboard Dataset | |
| Overall (style control) arena=text · category=overall · style_control=true | high effort | 1363.5 1358.2–1368.7 | community | LMArena Leaderboard Dataset |
| English (style control)older version arena=text · category=english · style_control=true | 1363.0 1358.7–1367.3 | community | LMArena Leaderboard Dataset | |
| Chinese (style control)older version arena=text · category=chinese · style_control=true | 1360.4 1350.0–1370.9 | community | LMArena Leaderboard Dataset | |
| Industry Legal And Government (style control)older version arena=text · category=industry_legal_and_government · style_control=true | high effort | 1358.8 1340.6–1377.0 | community | LMArena Leaderboard Dataset |
| Longer Query (style control)older version arena=text · category=longer_query · style_control=true | 1358.4 1351.9–1364.9 | community | LMArena Leaderboard Dataset | |
| French (style control)older version arena=text · category=french · style_control=true | 1356.4 1333.2–1379.5 | 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 | 1349.8 1343.3–1356.4 | 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 | high effort | 1349.2 1335.5–1362.8 | community | LMArena Leaderboard Dataset |
| Overall (style control) arena=text · category=overall · style_control=true | 1347.8 1344.2–1351.3 | community | LMArena Leaderboard Dataset | |
| Multi Turn (style control)older version arena=text · category=multi_turn · style_control=true | high effort | 1344.8 1333.1–1356.5 | community | LMArena Leaderboard Dataset |
| Non English (style control)older version arena=text · category=non_english · style_control=true | high effort | 1343.5 1336.2–1350.8 | community | LMArena Leaderboard Dataset |
| Instruction Following (style control)older version arena=text · category=instruction_following · style_control=true | 1343.5 1338.4–1348.6 | community | LMArena Leaderboard Dataset | |
| Industry Medicine And Healthcare (style control)older version arena=text · category=industry_medicine_and_healthcare · style_control=true | 1342.2 1331.0–1353.3 | 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 | high effort | 1340.9 1332.1–1349.7 | community | LMArena Leaderboard Dataset |
| Industry Legal And Government (style control)older version arena=text · category=industry_legal_and_government · style_control=true | 1340.1 1330.0–1350.2 | community | LMArena Leaderboard Dataset | |
| Multi Turn (style control)older version arena=text · category=multi_turn · style_control=true | 1339.7 1333.1–1346.2 | community | LMArena Leaderboard Dataset | |
| Exclude Ties (style control)older version arena=text · category=exclude_ties · style_control=true | high effort | 1329.6 1321.8–1337.3 | community | LMArena Leaderboard Dataset |
| Russian (style control)older version arena=text · category=russian · style_control=true | high effort | 1328.4 1314.9–1341.8 | community | LMArena Leaderboard Dataset |
| Spanish (style control)older version arena=text · category=spanish · style_control=true | 1327.3 1305.8–1348.7 | community | LMArena Leaderboard Dataset | |
| German (style control)older version arena=text · category=german · style_control=true | 1326.7 1310.1–1343.3 | 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 | 1326.6 1319.5–1333.8 | community | LMArena Leaderboard Dataset | |
| Russian (style control)older version arena=text · category=russian · style_control=true | 1326.6 1317.8–1335.3 | community | LMArena Leaderboard Dataset | |
| Non English (style control)older version arena=text · category=non_english · style_control=true | 1326.4 1321.9–1330.8 | community | LMArena Leaderboard Dataset | |
| Polish (style control)older version arena=text · category=polish · style_control=true | 1324.4 1311.9–1337.0 | 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 | 1324.0 1318.4–1329.6 | community | LMArena Leaderboard Dataset | |
| Creative Writing (style control)older version arena=text · category=creative_writing · style_control=true | high effort | 1311.8 1301.0–1322.6 | 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 | high effort | 1310.3 1300.0–1320.5 | community | LMArena Leaderboard Dataset |
| Exclude Ties (style control)older version arena=text · category=exclude_ties · style_control=true | 1306.8 1301.9–1311.7 | 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 | 1301.4 1295.1–1307.6 | community | LMArena Leaderboard Dataset | |
| Creative Writing (style control)older version arena=text · category=creative_writing · style_control=true | 1301.0 1294.0–1307.9 | community | LMArena Leaderboard Dataset | |
| Japanese (style control)older version arena=text · category=japanese · style_control=true | 1299.2 1282.3–1316.0 | community | LMArena Leaderboard Dataset | |
| Korean (style control)older version arena=text · category=korean · style_control=true | 1293.1 1274.0–1312.1 | community | LMArena Leaderboard Dataset |
knowledge science
| GPQA Diamond implementation=artificial-analysis | high effort | 77.3 % | independent | Artificial Analysis |
| GPQA Diamond | high effort | 77.0 % | independent | Epoch AI Benchmarking Hub 2025-02-13 |
| GPQA Diamond implementation=vals-ai | high effort | 75.5 % | independent | Vals AI |
| GPQA Diamond implementation=artificial-analysis | 74.8 % | independent | Artificial Analysis | |
| GPQA Diamond | medium effort | 74.3 % | independent | Epoch AI Benchmarking Hub 2025-01-31 |
| Humanity's Last Exam implementation=artificial-analysis | high effort | 12.3 % | independent | Artificial Analysis |
| Humanity's Last Exam implementation=artificial-analysis | 8.7 % | independent | Artificial Analysis | |
| MMLU-Pro implementation=artificial-analysis | high effort | 80.2 % | independent | Artificial Analysis |
| MMLU-Pro implementation=artificial-analysis | 79.1 % | independent | Artificial Analysis | |
| MMLU-Pro implementation=vals-ai | high effort | 78.7 % | independent | Vals AI |
long context instruction
| AA-LCR | high effort | 39.3 % | independent | Artificial Analysis |
| IFBench | high effort | 67.1 % | independent | Artificial Analysis |
professional
| CorpFin | high effort | 45.3 % | independent | Vals AI |
| LegalBench | high effort | 71.5 % | independent | Vals AI |
| MedQA | high effort | 94.8 % | independent | Vals AI |
| TaxEval | high effort | 69.4 % | independent | Vals AI |
reasoning math
| AIME implementation=vals-ai | high effort | 86.5 % | independent | Vals AI |
| AIME implementation=artificial-analysis | high effort | 86.0 % | independent | Artificial Analysis |
| AIME implementation=artificial-analysis | 77.0 % | independent | Artificial Analysis | |
| ARC-AGI-1older version split=public_eval · model_type=CoT | high effort | 46.6 % | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=CoT | high effort | 34.5 % | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=public_eval · model_type=CoT | medium effort | 30.6 % | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=CoT | medium effort | 22.3 % | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=public_eval · model_type=CoT | low effort | 17.4 % | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=CoT | low effort | 14.5 % | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=CoT | high effort | 3.0 % | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=CoT | medium effort | 2.1 % | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=public_eval · model_type=CoT | high effort | 0.6 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=CoT | high effort | 0.5 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=CoT | high effort | 0.4 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=public_eval · model_type=CoT | high effort | 0.3 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=CoT | medium effort | 0.3 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=public_eval · model_type=CoT | medium effort | 0.3 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=CoT | medium effort | 0.2 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=public_eval · model_type=CoT | medium effort | 0.2 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=CoT | low effort | 0.1 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=public_eval · model_type=CoT | low effort | 0.1 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=CoT | low effort | 0.1 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=public_eval · model_type=CoT | low effort | 0.0 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=public_eval · model_type=CoT | low effort | 0.0 % | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=public_eval · model_type=CoT | high effort | 0.0 % | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=CoT | low effort | 0.0 % | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=public_eval · model_type=CoT | medium effort | 0.0 % | independent | ARC Prize Leaderboard |
| FrontierMath | high effort | 12.4 % | independent | Epoch AI Benchmarking Hub 2025-11-16 |
| FrontierMath | medium effort | 8.1 % | independent | Epoch AI Benchmarking Hub 2025-03-06 |
| FrontierMath Tier 4older version | high effort | 4.2 % | independent | Epoch AI Benchmarking Hub 2025-07-01 |
| MATH-500 implementation=artificial-analysis | high effort | 98.5 % | independent | Artificial Analysis |
| MATH-500 implementation=artificial-analysis | 97.3 % | independent | Artificial Analysis | |
| MATH-500 implementation=vals-ai | high effort | 91.8 % | independent | Vals AI |
| MATH Level 5 | high effort | 96.5 % | independent | Epoch AI Benchmarking Hub 2025-02-13 |
| MATH Level 5 | medium effort | 95.2 % | independent | Epoch AI Benchmarking Hub 2025-01-31 |
| OTIS Mock AIME 2024–2025 | high effort | 76.9 % | independent | Epoch AI Benchmarking Hub 2025-02-27 |
| OTIS Mock AIME 2024–2025 | medium effort | 63.9 % | independent | Epoch AI Benchmarking Hub 2025-02-25 |
Agent + model results
systems, not bare-model scores
| agent + model Agentless Lite + O3 Mini (2025-01-31) | SWE-bench Verified | 42.4 % | community | SWE-bench Leaderboard |
| agent + model Agentless Lite + O3 Mini (2025-01-31) | SWE-bench Lite | 32.3 % | community | SWE-bench Leaderboard |
| agent + model Aegis - o3-mini_1.0 + O3 Mini (2025-01-31) | SWE-bench Lite | 30.3 % | unverified | SWE-bench Leaderboard |
| agent + model Artificial Analysis harness + O3 Mini (2025-01-31) | Terminal-Bench Hard | 6.8 % | independent | Artificial Analysis |
| agent + model Artificial Analysis harness + O3 Mini (2025-01-31) | Terminal-Bench Hard | 6.1 % | independent | Artificial Analysis |
| agent + model Artificial Analysis harness + O3 Mini (2025-01-31) | Terminal-Bench 2.1 | 4.5 % | independent | Artificial Analysis |
These scores measure the whole agent system (scaffold, tools, budgets) — they are never merged into the bare model’s numbers.
