Rankings / OpenAI
GPT 5.2 (2025-12-11)
proprietaryreleased 2025-12-11
BenchAtlas Index
as of 2026-07-14
xhigh effort
rank #27
12 families · 5 categories · high
xhigh effort
rank #48
10 families · 4 categories · medium
medium effort
rank #64
12 families · 5 categories · high
Benchmark evidence
177 results
agentic coding
| Release 2026-06-25 tasks_counted=3 · livebench_version=2026-06-25 | high effort | 50.3 % | independent | LiveBench |
| τ²-Bench | xhigh effort | 84.8 % | independent | Artificial Analysis |
| τ²-Bench | medium effort | 74.3 % | independent | Artificial Analysis |
| τ²-Bench | no reasoning | 46.5 % | independent | Artificial Analysis |
| τ²-Bench subset=banking | no reasoning | 12.0 % | independent | Artificial Analysis |
coding
| Release 2026-06-25 tasks_counted=2 · livebench_version=2026-06-25 | high effort | 76.1 % | independent | LiveBench |
| LiveCodeBench v6 implementation=artificial-analysis | medium effort | 89.4 % | independent | Artificial Analysis |
| LiveCodeBench v6 implementation=artificial-analysis | xhigh effort | 88.9 % | independent | Artificial Analysis |
| LiveCodeBench v6 implementation=artificial-analysis | no reasoning | 66.9 % | independent | Artificial Analysis |
| SciCode | xhigh effort | 52.1 % | independent | Artificial Analysis |
| SciCode | medium effort | 46.2 % | independent | Artificial Analysis |
| SciCode | no reasoning | 40.4 % | independent | Artificial Analysis |
data analysis
| Release 2026-06-25 tasks_counted=3 · livebench_version=2026-06-25 | high effort | 78.2 % | independent | LiveBench |
external indices
| Intelligence Index v4.1 | xhigh effort | 42.2 points | independent | Artificial Analysis |
| Intelligence Index v4.1 | medium effort | 38.0 points | independent | Artificial Analysis |
| Intelligence Index v4.1 | no reasoning | 26.0 points | independent | Artificial Analysis |
| AA Math Index | xhigh effort | 99.0 points | independent | Artificial Analysis |
| AA Math Index | medium effort | 96.7 points | independent | Artificial Analysis |
| AA Math Index | no reasoning | 51.0 points | independent | Artificial Analysis |
| ECI | medium effort | 153.7 points | independent | Epoch AI Benchmarking Hub |
| ECI | xhigh effort | 153.7 points | independent | Epoch AI Benchmarking Hub |
| ECI | no reasoning | 153.7 points | independent | Epoch AI Benchmarking Hub |
| ECI | high effort | 153.7 points | independent | Epoch AI Benchmarking Hub |
| ECI | low effort | 153.7 points | independent | Epoch AI Benchmarking Hub |
| ECI | 153.7 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. | 86.7 % 84.9–88.4 | independent | Scale Labs | |
| SimpleQA Verified | xhigh effort | 38.9 % | independent | Epoch AI Benchmarking Hub 2025-12-11 |
| SimpleQA Verified | high effort | 38.2 % | independent | Epoch AI Benchmarking Hub 2025-12-11 |
| SimpleQA Verified | medium effort | 35.4 % | independent | Epoch AI Benchmarking Hub 2025-12-11 |
| SimpleQA Verified | low effort | 34.7 % | independent | Epoch AI Benchmarking Hub 2025-12-11 |
human preference
| Coding (style control)older version arena=text · category=coding · style_control=true | high effort | 1489.1 1482.8–1495.3 | community | LMArena Leaderboard Dataset |
| Coding (style control)older version arena=text · category=coding · style_control=true | 1482.0 1476.6–1487.5 | community | LMArena Leaderboard Dataset | |
| Expert (style control)older version arena=text · category=expert · style_control=true | high effort | 1477.9 1467.6–1488.3 | community | LMArena Leaderboard Dataset |
| French (style control)older version arena=text · category=french · style_control=true | high effort | 1477.1 1458.7–1495.5 | community | LMArena Leaderboard Dataset |
| Industry Software And It Services (style control)older version arena=text · category=industry_software_and_it_services · style_control=true | high effort | 1471.8 1466.5–1477.1 | community | LMArena Leaderboard Dataset |
| Industry Software And It Services (style control)older version arena=text · category=industry_software_and_it_services · style_control=true | 1471.8 1467.0–1476.6 | community | LMArena Leaderboard Dataset | |
| Chinese (style control)older version arena=text · category=chinese · style_control=true | high effort | 1471.1 1458.6–1483.7 | community | LMArena Leaderboard Dataset |
| Chinese (style control)older version arena=text · category=chinese · style_control=true | 1469.0 1458.0–1480.0 | community | LMArena Leaderboard Dataset | |
| German (style control)older version arena=text · category=german · style_control=true | high effort | 1464.0 1441.8–1486.1 | community | LMArena Leaderboard Dataset |
| French (style control)older version arena=text · category=french · style_control=true | 1464.0 1448.9–1479.0 | community | LMArena Leaderboard Dataset | |
| Industry Mathematical (style control)older version arena=text · category=industry_mathematical · style_control=true | high effort | 1462.4 1449.7–1475.0 | community | LMArena Leaderboard Dataset |
| Expert (style control)older version arena=text · category=expert · style_control=true | 1462.1 1453.8–1470.4 | community | LMArena Leaderboard Dataset | |
| Hard Prompts English (style control)older version arena=text · category=hard_prompts_english · style_control=true | high effort | 1460.4 1454.5–1466.2 | community | LMArena Leaderboard Dataset |
| Industry Medicine And Healthcare (style control)older version arena=text · category=industry_medicine_and_healthcare · style_control=true | 1460.0 1450.9–1469.2 | community | LMArena Leaderboard Dataset | |
| Hard Prompts (style control)older version arena=text · category=hard_prompts · style_control=true | 1459.2 1455.1–1463.4 | community | LMArena Leaderboard Dataset | |
| Hard Prompts (style control)older version arena=text · category=hard_prompts · style_control=true | high effort | 1459.2 1454.6–1463.7 | community | LMArena Leaderboard Dataset |
| Hard Prompts English (style control)older version arena=text · category=hard_prompts_english · style_control=true | 1458.4 1453.2–1463.6 | community | LMArena Leaderboard Dataset | |
| Math (style control)older version arena=text · category=math · style_control=true | high effort | 1457.5 1446.5–1468.6 | community | LMArena Leaderboard Dataset |
| Polish (style control)older version arena=text · category=polish · style_control=true | 1455.8 1439.6–1471.9 | community | LMArena Leaderboard Dataset | |
| Polish (style control)older version arena=text · category=polish · style_control=true | high effort | 1455.6 1437.9–1473.4 | community | LMArena Leaderboard Dataset |
| Industry Medicine And Healthcare (style control)older version arena=text · category=industry_medicine_and_healthcare · style_control=true | high effort | 1453.6 1442.6–1464.7 | 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 | 1451.5 1445.1–1457.8 | 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 | 1450.8 1443.5–1458.1 | community | LMArena Leaderboard Dataset |
| Industry Legal And Government (style control)older version arena=text · category=industry_legal_and_government · style_control=true | 1447.5 1438.9–1456.2 | community | LMArena Leaderboard Dataset | |
| Industry Legal And Government (style control)older version arena=text · category=industry_legal_and_government · style_control=true | high effort | 1447.2 1436.7–1457.7 | community | LMArena Leaderboard Dataset |
| English (style control)older version arena=text · category=english · style_control=true | high effort | 1444.4 1439.5–1449.3 | 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 | high effort | 1444.4 1437.6–1451.2 | community | LMArena Leaderboard Dataset |
| German (style control)older version arena=text · category=german · style_control=true | 1444.0 1424.6–1463.5 | community | LMArena Leaderboard Dataset | |
| Multi Turn (style control)older version arena=text · category=multi_turn · style_control=true | 1444.0 1438.0–1450.0 | 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 | 1443.1 1437.1–1449.1 | community | LMArena Leaderboard Dataset | |
| Multi Turn (style control)older version arena=text · category=multi_turn · style_control=true | high effort | 1443.0 1435.9–1450.0 | community | LMArena Leaderboard Dataset |
| Longer Query (style control)older version arena=text · category=longer_query · style_control=true | 1440.6 1435.6–1445.7 | community | LMArena Leaderboard Dataset | |
| Russian (style control)older version arena=text · category=russian · style_control=true | 1439.3 1431.9–1446.8 | community | LMArena Leaderboard Dataset | |
| English (style control)older version arena=text · category=english · style_control=true | 1439.0 1434.6–1443.5 | community | LMArena Leaderboard Dataset | |
| Overall (style control) arena=text · category=overall · style_control=true | high effort | 1437.4 1433.7–1441.0 | community | LMArena Leaderboard Dataset |
| Industry Mathematical (style control)older version arena=text · category=industry_mathematical · style_control=true | 1436.7 1426.3–1447.2 | community | LMArena Leaderboard Dataset | |
| Overall (style control) arena=text · category=overall · style_control=true | 1435.3 1431.9–1438.6 | community | LMArena Leaderboard Dataset | |
| Spanish (style control)older version arena=text · category=spanish · style_control=true | high effort | 1434.6 1417.1–1452.1 | community | LMArena Leaderboard Dataset |
| Longer Query (style control)older version arena=text · category=longer_query · style_control=true | high effort | 1434.2 1428.5–1439.9 | community | LMArena Leaderboard Dataset |
| Exclude Ties (style control)older version arena=text · category=exclude_ties · style_control=true | high effort | 1434.1 1429.1–1439.0 | community | LMArena Leaderboard Dataset |
| Math (style control)older version arena=text · category=math · style_control=true | 1432.6 1422.9–1442.3 | community | LMArena Leaderboard Dataset | |
| Exclude Ties (style control)older version arena=text · category=exclude_ties · style_control=true | 1432.2 1427.6–1436.7 | community | LMArena Leaderboard Dataset | |
| Russian (style control)older version arena=text · category=russian · style_control=true | high effort | 1430.3 1421.8–1438.9 | community | LMArena Leaderboard Dataset |
| Instruction Following (style control)older version arena=text · category=instruction_following · style_control=true | high effort | 1427.1 1421.4–1432.8 | community | LMArena Leaderboard Dataset |
| Non English (style control)older version arena=text · category=non_english · style_control=true | 1426.2 1422.0–1430.5 | community | LMArena Leaderboard Dataset | |
| Non English (style control)older version arena=text · category=non_english · style_control=true | high effort | 1425.7 1421.1–1430.3 | community | LMArena Leaderboard Dataset |
| Instruction Following (style control)older version arena=text · category=instruction_following · style_control=true | 1423.1 1418.0–1428.1 | community | LMArena Leaderboard Dataset | |
| Spanish (style control)older version arena=text · category=spanish · style_control=true | 1419.1 1404.2–1433.9 | community | LMArena Leaderboard Dataset | |
| Japanese (style control)older version arena=text · category=japanese · style_control=true | 1413.4 1387.7–1439.2 | 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 | 1411.6 1406.0–1417.2 | 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 | 1409.0 1402.6–1415.3 | 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 | 1397.8 1391.9–1403.8 | 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 | 1390.4 1383.4–1397.3 | community | LMArena Leaderboard Dataset |
| Creative Writing (style control)older version arena=text · category=creative_writing · style_control=true | 1389.8 1383.2–1396.3 | community | LMArena Leaderboard Dataset | |
| Creative Writing (style control)older version arena=text · category=creative_writing · style_control=true | high effort | 1388.0 1380.3–1395.6 | community | LMArena Leaderboard Dataset |
| Korean (style control)older version arena=text · category=korean · style_control=true | 1387.1 1367.9–1406.3 | community | LMArena Leaderboard Dataset | |
| Korean (style control)older version arena=text · category=korean · style_control=true | high effort | 1378.8 1356.0–1401.7 | community | LMArena Leaderboard Dataset |
knowledge science
| GPQA Diamond implementation=vals-ai | xhigh effort | 91.7 % | independent | Vals AI |
| GPQA Diamond | xhigh effort | 91.4 % | independent | Epoch AI Benchmarking Hub 2025-12-13 |
| GPQA Diamond implementation=artificial-analysis | xhigh effort | 90.3 % | independent | Artificial Analysis |
| GPQA Diamond | high effort | 88.2 % | independent | Epoch AI Benchmarking Hub 2025-12-11 |
| GPQA Diamond | medium effort | 87.9 % | independent | Epoch AI Benchmarking Hub 2025-12-11 |
| GPQA Diamond implementation=artificial-analysis | medium effort | 86.4 % | independent | Artificial Analysis |
| GPQA Diamond | low effort | 82.7 % | independent | Epoch AI Benchmarking Hub 2025-12-11 |
| GPQA Diamond implementation=artificial-analysis | no reasoning | 71.2 % | independent | Artificial Analysis |
| Humanity's Last Exam implementation=artificial-analysis | xhigh effort | 35.4 % | independent | Artificial Analysis |
| Humanity's Last Exam contamination=Potential contamination warning: This model was evaluated after the public release of HLE, allowing model builder access to the prompts and solutions. · implementation=scale | 27.8 % 26.0–29.6 | independent | Scale Labs | |
| Humanity's Last Exam implementation=artificial-analysis | medium effort | 24.9 % | independent | Artificial Analysis |
| Humanity's Last Exam implementation=artificial-analysis | no reasoning | 7.3 % | independent | Artificial Analysis |
| MMLU-Pro implementation=artificial-analysis | xhigh effort | 87.4 % | independent | Artificial Analysis |
| MMLU-Pro implementation=vals-ai | xhigh effort | 86.2 % | independent | Vals AI |
| MMLU-Pro implementation=artificial-analysis | medium effort | 85.9 % | independent | Artificial Analysis |
| MMLU-Pro implementation=artificial-analysis | no reasoning | 81.4 % | independent | Artificial Analysis |
language
| Release 2026-06-25 tasks_counted=3 · livebench_version=2026-06-25 | high effort | 79.8 % | independent | LiveBench |
long context instruction
| AA-LCR | xhigh effort | 72.7 % | independent | Artificial Analysis |
| AA-LCR | medium effort | 63.3 % | independent | Artificial Analysis |
| AA-LCR | no reasoning | 38.0 % | independent | Artificial Analysis |
| IFBench | xhigh effort | 75.4 % | independent | Artificial Analysis |
| IFBench | medium effort | 65.2 % | independent | Artificial Analysis |
| IFBench | no reasoning | 47.4 % | independent | Artificial Analysis |
| Release 2026-06-25 tasks_counted=4 · livebench_version=2026-06-25 | high effort | 61.8 % | independent | LiveBench |
multimodal
| MMMU implementation=vals-ai | xhigh effort | 86.7 % | independent | Vals AI |
| VISTA | 46.6 % 44.4–48.9 | independent | Scale Labs |
professional
| CaseLaw | xhigh effort | 66.0 % | independent | Vals AI |
| CorpFin | xhigh effort | 65.9 % | independent | Vals AI |
| LegalBench | xhigh effort | 82.8 % | independent | Vals AI |
| MedQA | xhigh effort | 94.1 % | independent | Vals AI |
| TaxEval | xhigh effort | 75.8 % | independent | Vals AI |
reasoning math
| AIME year=2025 · implementation=artificial-analysis | xhigh effort | 99.0 % | independent | Artificial Analysis |
| AIME implementation=vals-ai | xhigh effort | 96.9 % | independent | Vals AI |
| AIME year=2025 · implementation=artificial-analysis | medium effort | 96.7 % | independent | Artificial Analysis |
| AIME year=2025 · implementation=artificial-analysis | no reasoning | 51.0 % | independent | Artificial Analysis |
| ARC-AGI-1older version split=public_eval · model_type=CoT | max effort | 95.0 % | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=public_eval · model_type=CoT | high effort | 90.3 % | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=CoT | max effort | 86.2 % | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=public_eval · model_type=CoT | medium effort | 80.6 % | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=CoT | high effort | 78.7 % | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=CoT | medium effort | 72.7 % | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=public_eval · model_type=CoT | low effort | 65.9 % | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=public_eval · model_type=CoT | max effort | 59.8 % | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=CoT | low effort | 55.7 % | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=CoT | max effort | 52.9 % | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=CoT | high effort | 43.3 % | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=public_eval · model_type=CoT | high effort | 39.9 % | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=public_eval · model_type=CoT | medium effort | 27.6 % | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=CoT | medium effort | 26.7 % | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=public_eval · model_type=Base LLM | no reasoning | 16.5 % | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=Base LLM | no reasoning | 12.3 % | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=CoT | low effort | 9.7 % | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=public_eval · model_type=CoT | low effort | 8.3 % | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=public_eval · model_type=CoT | max effort | 2.1 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=CoT | max effort | 1.9 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=public_eval · model_type=CoT | high effort | 1.5 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=CoT | high effort | 1.4 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=CoT | max effort | 1.0 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=Base LLM | no reasoning | 0.8 % | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=public_eval · model_type=CoT | medium effort | 0.8 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=CoT | medium effort | 0.8 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=public_eval · model_type=CoT | max effort | 0.7 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=CoT | high effort | 0.5 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=public_eval · model_type=CoT | high effort | 0.4 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=CoT | medium effort | 0.3 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=public_eval · model_type=CoT | medium effort | 0.3 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=public_eval · model_type=CoT | low effort | 0.3 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=CoT | low effort | 0.3 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=CoT | low effort | 0.2 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=public_eval · model_type=CoT | low effort | 0.1 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=public_eval · model_type=Base LLM | no reasoning | 0.1 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=Base LLM | no reasoning | 0.1 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=Base LLM | no reasoning | 0.0 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=public_eval · model_type=Base LLM | no reasoning | 0.0 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=public_eval · model_type=Base LLM | no reasoning | 0.0 % | independent | ARC Prize Leaderboard |
| EnigmaEval contamination=Potential contamination warning: This model was evaluated after the public release of EnigmaEval, allowing model builder access to the prompts and solutions. | 10.4 % 8.7–12.1 | independent | Scale Labs | |
| FrontierMath | xhigh effort | 40.7 % | independent | Epoch AI Benchmarking Hub 2025-12-13 |
| FrontierMath | high effort | 40.3 % | independent | Epoch AI Benchmarking Hub 2025-12-11 |
| FrontierMath | medium effort | 36.9 % | independent | Epoch AI Benchmarking Hub 2025-12-11 |
| FrontierMath | low effort | 26.6 % | independent | Epoch AI Benchmarking Hub 2025-12-11 |
| FrontierMath Tier 4older version | xhigh effort | 18.8 % | independent | Epoch AI Benchmarking Hub 2025-12-14 |
| FrontierMath Tier 4older version | high effort | 18.8 % | independent | Epoch AI Benchmarking Hub 2025-12-11 |
| FrontierMath Tier 4older version | medium effort | 16.7 % | independent | Epoch AI Benchmarking Hub 2025-12-11 |
| FrontierMath Tier 4older version | low effort | 6.3 % | independent | Epoch AI Benchmarking Hub 2025-12-11 |
| Release 2026-06-25 tasks_counted=4 · livebench_version=2026-06-25 | high effort | 93.2 % | independent | LiveBench |
| Release 2026-06-25 tasks_counted=4 · livebench_version=2026-06-25 | high effort | 83.2 % | independent | LiveBench |
| OTIS Mock AIME 2024–2025 | high effort | 96.1 % | independent | Epoch AI Benchmarking Hub 2025-12-11 |
| OTIS Mock AIME 2024–2025 | xhigh effort | 96.1 % | independent | Epoch AI Benchmarking Hub 2025-12-13 |
| OTIS Mock AIME 2024–2025 | medium effort | 93.9 % | independent | Epoch AI Benchmarking Hub 2025-12-11 |
| OTIS Mock AIME 2024–2025 | low effort | 78.9 % | independent | Epoch AI Benchmarking Hub 2025-12-11 |
Agent + model results
systems, not bare-model scores
| agent + model Epoch Inspect harness + GPT 5.2 (2025-12-11) | SWE-bench Verified | 73.8 % | independent | Epoch AI Benchmarking Hub |
| agent + model mini-SWE-agent + GPT 5.2 (2025-12-11) | SWE-bench bash-only | 72.8 % | unverified | SWE-bench Leaderboard |
| agent + model mini-SWE-agent + GPT 5.2 (2025-12-11) | SWE-bench Verified | 72.8 % | unverified | SWE-bench Leaderboard |
| agent + model mini-SWE-agent + GPT 5.2 (2025-12-11) | SWE-bench bash-only | 71.8 % | unverified | SWE-bench Leaderboard |
| agent + model mini-SWE-agent + GPT 5.2 (2025-12-11) | SWE-bench Verified | 71.8 % | unverified | SWE-bench Leaderboard |
| agent + model mini-SWE-agent + GPT 5.2 (2025-12-11) | SWE-bench Verified | 69.0 % | unverified | SWE-bench Leaderboard |
| agent + model mini-SWE-agent + GPT 5.2 (2025-12-11) | SWE-bench bash-only | 69.0 % | unverified | SWE-bench Leaderboard |
| agent + model mini-SWE-agent + GPT 5.2 (2025-12-11) | SWE-bench Multilingual | 66.7 % | community | SWE-bench Leaderboard |
| agent + model mini-SWE-agent + GPT 5.2 (2025-12-11) | SWE-bench Multilingual | 0.5 usd_per_task | community | SWE-bench Leaderboard |
| agent + model mini-SWE-agent + GPT 5.2 (2025-12-11) | SWE-bench bash-only | 0.5 usd_per_task | unverified | SWE-bench Leaderboard |
| agent + model mini-SWE-agent + GPT 5.2 (2025-12-11) | SWE-bench Verified | 0.5 usd_per_task | unverified | SWE-bench Leaderboard |
| agent + model mini-SWE-agent + GPT 5.2 (2025-12-11) | SWE-bench bash-only | 0.5 usd_per_task | unverified | SWE-bench Leaderboard |
| agent + model mini-SWE-agent + GPT 5.2 (2025-12-11) | SWE-bench Verified | 0.5 usd_per_task | unverified | SWE-bench Leaderboard |
| agent + model mini-SWE-agent + GPT 5.2 (2025-12-11) | SWE-bench Verified | 0.3 usd_per_task | unverified | SWE-bench Leaderboard |
| agent + model mini-SWE-agent + GPT 5.2 (2025-12-11) | SWE-bench bash-only | 0.3 usd_per_task | unverified | SWE-bench Leaderboard |
| agent + model Droid + GPT 5.2 (2025-12-11) | Terminal-Bench 2.0 | 64.9 % | unverified | Terminal-Bench Leaderboard |
| agent + model Codex CLI + GPT 5.2 (2025-12-11) | Terminal-Bench 2.0 | 62.9 % | community | Terminal-Bench Leaderboard |
| agent + model mux + GPT 5.2 (2025-12-11) | Terminal-Bench 2.0 | 60.7 % | unverified | Terminal-Bench Leaderboard |
| agent + model terminus-2 + GPT 5.2 (2025-12-11) | Terminal-Bench 2.0 | 54.0 % | community | Terminal-Bench Leaderboard |
| agent + model Artificial Analysis harness + GPT 5.2 (2025-12-11) | Terminal-Bench Hard | 47.0 % | independent | Artificial Analysis |
| agent + model Artificial Analysis harness + GPT 5.2 (2025-12-11) | Terminal-Bench Hard | 43.2 % | independent | Artificial Analysis |
| agent + model Artificial Analysis harness + GPT 5.2 (2025-12-11) | Terminal-Bench Hard | 31.8 % | independent | Artificial Analysis |
These scores measure the whole agent system (scaffold, tools, budgets) — they are never merged into the bare model’s numbers.
