Rankings / Anthropic
Claude Opus 4 20250514
released 2025-05-14
BenchAtlas Index
as of 2026-07-14
base configuration
rank #259
8 families · 5 categories · high
base configuration
rank #317
7 families · 3 categories · medium
Benchmark evidence
87 results
external indices
| ECI | 142.9 points | independent | Epoch AI Benchmarking Hub | |
| ECI | 2K budget | 142.9 points | independent | Epoch AI Benchmarking Hub |
| ECI | 1K budget | 142.9 points | independent | Epoch AI Benchmarking Hub |
| ECI | 8K budget | 142.9 points | independent | Epoch AI Benchmarking Hub |
| ECI | 27K budget | 142.9 points | independent | Epoch AI Benchmarking Hub |
| ECI | 16K budget | 142.9 points | independent | Epoch AI Benchmarking Hub |
| ECI | 32K budget | 142.9 points | independent | Epoch AI Benchmarking Hub |
| ECI | 12K budget | 142.9 points | independent | Epoch AI Benchmarking Hub |
human preference
| Coding (style control)older version arena=text · category=coding · style_control=true | 1464.2 1456.9–1471.4 | community | LMArena Leaderboard Dataset | |
| Longer Query (style control)older version arena=text · category=longer_query · style_control=true | 1446.8 1439.6–1453.9 | community | LMArena Leaderboard Dataset | |
| Industry Medicine And Healthcare (style control)older version arena=text · category=industry_medicine_and_healthcare · style_control=true | 1446.6 1434.5–1458.6 | community | LMArena Leaderboard Dataset | |
| Chinese (style control)older version arena=text · category=chinese · style_control=true | 1445.2 1433.1–1457.4 | community | LMArena Leaderboard Dataset | |
| Hard Prompts English (style control)older version arena=text · category=hard_prompts_english · style_control=true | 1442.8 1436.0–1449.4 | community | LMArena Leaderboard Dataset | |
| Industry Software And It Services (style control)older version arena=text · category=industry_software_and_it_services · style_control=true | 1441.5 1435.6–1447.5 | community | LMArena Leaderboard Dataset | |
| Industry Legal And Government (style control)older version arena=text · category=industry_legal_and_government · style_control=true | 1437.8 1426.7–1449.0 | community | LMArena Leaderboard Dataset | |
| Expert (style control)older version arena=text · category=expert · style_control=true | 1435.1 1422.5–1447.7 | community | LMArena Leaderboard Dataset | |
| Hard Prompts (style control)older version arena=text · category=hard_prompts · style_control=true | 1434.9 1429.5–1440.3 | community | LMArena Leaderboard Dataset | |
| German (style control)older version arena=text · category=german · style_control=true | 1430.5 1413.1–1447.9 | 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 | 1429.6 1421.9–1437.3 | community | LMArena Leaderboard Dataset | |
| Multi Turn (style control)older version arena=text · category=multi_turn · style_control=true | 1428.2 1420.6–1435.7 | community | LMArena Leaderboard Dataset | |
| Russian (style control)older version arena=text · category=russian · style_control=true | 1426.4 1415.3–1437.6 | community | LMArena Leaderboard Dataset | |
| English (style control)older version arena=text · category=english · style_control=true | 1424.9 1419.6–1430.3 | community | LMArena Leaderboard Dataset | |
| French (style control)older version arena=text · category=french · style_control=true | 1422.3 1396.8–1447.8 | 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 | 1418.4 1411.5–1425.2 | community | LMArena Leaderboard Dataset | |
| Creative Writing (style control)older version arena=text · category=creative_writing · style_control=true | 1416.5 1408.0–1425.0 | community | LMArena Leaderboard Dataset | |
| Instruction Following (style control)older version arena=text · category=instruction_following · style_control=true | 1413.6 1407.2–1420.1 | community | LMArena Leaderboard Dataset | |
| Overall (style control) arena=text · category=overall · style_control=true | 1412.4 1408.1–1416.7 | community | LMArena Leaderboard Dataset | |
| Industry Mathematical (style control)older version arena=text · category=industry_mathematical · style_control=true | 1409.7 1398.3–1421.1 | community | LMArena Leaderboard Dataset | |
| Polish (style control)older version arena=text · category=polish · style_control=true | 1405.2 1393.7–1416.7 | community | LMArena Leaderboard Dataset | |
| Math (style control)older version arena=text · category=math · style_control=true | 1403.4 1392.3–1414.4 | 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 | 1402.4 1394.8–1410.0 | community | LMArena Leaderboard Dataset | |
| Exclude Ties (style control)older version arena=text · category=exclude_ties · style_control=true | 1399.6 1394.0–1405.3 | 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 | 1399.6 1392.3–1406.9 | community | LMArena Leaderboard Dataset | |
| Spanish (style control)older version arena=text · category=spanish · style_control=true | 1397.0 1376.2–1417.8 | community | LMArena Leaderboard Dataset | |
| Non English (style control)older version arena=text · category=non_english · style_control=true | 1396.9 1391.6–1402.1 | community | LMArena Leaderboard Dataset | |
| Japanese (style control)older version arena=text · category=japanese · style_control=true | 1380.7 1360.9–1400.5 | community | LMArena Leaderboard Dataset | |
| Korean (style control)older version arena=text · category=korean · style_control=true | 1362.8 1342.8–1382.8 | community | LMArena Leaderboard Dataset |
knowledge science
| GPQA Diamond | 16K budget | 76.3 % | independent | Epoch AI Benchmarking Hub 2025-05-22 |
| GPQA Diamond implementation=vals-ai | 71.7 % | independent | Vals AI | |
| GPQA Diamond | 69.2 % | independent | Epoch AI Benchmarking Hub 2025-05-22 | |
| MMLU-Pro implementation=vals-ai | 86.2 % | independent | Vals AI |
multimodal
| MMMU implementation=vals-ai | 73.3 % | independent | Vals AI |
professional
| LegalBench | 83.1 % | independent | Vals AI | |
| MedQA | 92.9 % | independent | Vals AI | |
| TaxEval | 71.9 % | independent | Vals AI |
reasoning math
| AIME implementation=vals-ai | 41.3 % | independent | Vals AI | |
| ARC-AGI-1older version split=public_eval · model_type=CoT | thinking · 16K budget | 54.3 % | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=public_eval · model_type=CoT | thinking · 8K budget | 45.6 % | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=public_eval · model_type=CoT | thinking · 1K budget | 43.3 % | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=CoT | thinking · 16K budget | 35.7 % | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=public_eval · model_type=CoT | 35.5 % | independent | ARC Prize Leaderboard | |
| ARC-AGI-1older version split=semi_private · model_type=CoT | thinking · 8K budget | 30.7 % | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=CoT | thinking · 1K budget | 27.0 % | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=CoT | 22.5 % | independent | ARC Prize Leaderboard | |
| ARC-AGI-2 split=semi_private · model_type=CoT | thinking · 16K budget | 8.6 % | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=CoT | thinking · 8K budget | 4.5 % | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=public_eval · model_type=CoT | thinking · 16K budget | 3.3 % | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=public_eval · model_type=CoT | thinking · 8K budget | 2.5 % | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=public_eval · model_type=CoT | thinking · 16K budget | 2.0 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=CoT | thinking · 16K budget | 1.9 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=CoT | 1.3 % | independent | ARC Prize Leaderboard | |
| ARC-AGI-2 split=public_eval · model_type=CoT | 1.3 % | independent | ARC Prize Leaderboard | |
| ARC-AGI-1older version split=semi_private · model_type=CoT | thinking · 16K budget | 1.2 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=public_eval · model_type=CoT | thinking · 8K budget | 1.2 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=CoT | thinking · 8K budget | 1.2 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=public_eval · model_type=CoT | thinking · 16K budget | 1.1 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=public_eval · model_type=CoT | thinking · 8K budget | 0.8 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=public_eval · model_type=CoT | thinking · 1K budget | 0.8 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=CoT | thinking · 1K budget | 0.8 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=CoT | thinking · 8K budget | 0.7 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=public_eval · model_type=CoT | 0.7 usd_per_task | independent | ARC Prize Leaderboard | |
| ARC-AGI-2 split=semi_private · model_type=CoT | 0.6 usd_per_task | independent | ARC Prize Leaderboard | |
| ARC-AGI-1older version split=semi_private · model_type=CoT | thinking · 1K budget | 0.5 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=public_eval · model_type=CoT | thinking · 1K budget | 0.4 % | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=public_eval · model_type=CoT | thinking · 1K budget | 0.4 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=CoT | 0.4 usd_per_task | independent | ARC Prize Leaderboard | |
| ARC-AGI-1older version split=public_eval · model_type=CoT | 0.3 usd_per_task | independent | ARC Prize Leaderboard | |
| ARC-AGI-2 split=semi_private · model_type=CoT | thinking · 1K budget | 0.0 % | independent | ARC Prize Leaderboard |
| FrontierMath | 4.5 % | independent | Epoch AI Benchmarking Hub 2025-07-04 | |
| FrontierMath Tier 4older version | 27K budget | 4.2 % | independent | Epoch AI Benchmarking Hub 2025-07-01 |
| FrontierMath | 27K budget | 4.1 % | independent | Epoch AI Benchmarking Hub 2025-08-05 |
| FrontierMath Tier 4older version | 0.0 % | independent | Epoch AI Benchmarking Hub 2025-07-01 | |
| MATH-500 implementation=vals-ai | 90.4 % | independent | Vals AI | |
| MATH Level 5 | 85.0 % | independent | Epoch AI Benchmarking Hub 2025-05-22 | |
| OTIS Mock AIME 2024–2025 | 27K budget | 64.4 % | independent | Epoch AI Benchmarking Hub 2025-05-28 |
| OTIS Mock AIME 2024–2025 | 16K budget | 60.0 % | independent | Epoch AI Benchmarking Hub 2025-05-22 |
| OTIS Mock AIME 2024–2025 | 42.2 % | independent | Epoch AI Benchmarking Hub 2025-05-22 |
Agent + model results
systems, not bare-model scores
| agent + model Epoch Inspect harness + Claude Opus 4 20250514 | SWE-bench Verified | 70.7 % | independent | Epoch AI Benchmarking Hub |
These scores measure the whole agent system (scaffold, tools, budgets) — they are never merged into the bare model’s numbers.
