Rankings / Anthropic
Claude 3.7 Sonnet 20250219
released 2025-02-24
BenchAtlas Index
as of 2026-07-14
base configuration
rank #326
6 families · 4 categories · medium
64K budget
rank #327
5 families · 3 categories · medium
16K budget
rank #329
5 families · 3 categories · medium
Benchmark evidence
70 results
external indices
| ECI | 64K budget | 141.7 points | independent | Epoch AI Benchmarking Hub |
| ECI | 32K budget | 141.7 points | independent | Epoch AI Benchmarking Hub |
| ECI | 15K budget | 141.7 points | independent | Epoch AI Benchmarking Hub |
| ECI | 16K budget | 141.7 points | independent | Epoch AI Benchmarking Hub |
| ECI | 141.7 points | independent | Epoch AI Benchmarking Hub | |
| ECI | 8K budget | 141.7 points | independent | Epoch AI Benchmarking Hub |
| ECI | 2K budget | 141.7 points | independent | Epoch AI Benchmarking Hub |
| ECI | 12K budget | 141.7 points | independent | Epoch AI Benchmarking Hub |
| ECI | 1K budget | 141.7 points | independent | Epoch AI Benchmarking Hub |
human preference
| Coding (style control)older version arena=text · category=coding · style_control=true | 1430.0 1422.5–1437.4 | community | LMArena Leaderboard Dataset | |
| Longer Query (style control)older version arena=text · category=longer_query · style_control=true | 1410.3 1402.8–1417.7 | community | LMArena Leaderboard Dataset | |
| Industry Software And It Services (style control)older version arena=text · category=industry_software_and_it_services · style_control=true | 1406.1 1400.1–1412.1 | community | LMArena Leaderboard Dataset | |
| Hard Prompts English (style control)older version arena=text · category=hard_prompts_english · style_control=true | 1405.9 1399.0–1412.7 | community | LMArena Leaderboard Dataset | |
| Hard Prompts (style control)older version arena=text · category=hard_prompts · style_control=true | 1397.9 1392.3–1403.5 | community | LMArena Leaderboard Dataset | |
| Multi Turn (style control)older version arena=text · category=multi_turn · style_control=true | 1396.4 1388.8–1404.0 | community | LMArena Leaderboard Dataset | |
| Industry Legal And Government (style control)older version arena=text · category=industry_legal_and_government · style_control=true | 1394.2 1381.9–1406.6 | community | LMArena Leaderboard Dataset | |
| French (style control)older version arena=text · category=french · style_control=true | 1388.8 1361.5–1416.2 | community | LMArena Leaderboard Dataset | |
| Expert (style control)older version arena=text · category=expert · style_control=true | 1387.9 1374.8–1401.0 | 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 | 1384.8 1377.3–1392.3 | community | LMArena Leaderboard Dataset | |
| English (style control)older version arena=text · category=english · style_control=true | 1384.6 1379.7–1389.5 | community | LMArena Leaderboard Dataset | |
| Instruction Following (style control)older version arena=text · category=instruction_following · style_control=true | 1384.5 1378.6–1390.4 | community | LMArena Leaderboard Dataset | |
| Chinese (style control)older version arena=text · category=chinese · style_control=true | 1380.9 1368.2–1393.6 | community | LMArena Leaderboard Dataset | |
| Industry Medicine And Healthcare (style control)older version arena=text · category=industry_medicine_and_healthcare · style_control=true | 1379.5 1366.1–1393.0 | 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 | 1377.7 1371.2–1384.2 | community | LMArena Leaderboard Dataset | |
| Creative Writing (style control)older version arena=text · category=creative_writing · style_control=true | 1376.0 1367.9–1384.0 | community | LMArena Leaderboard Dataset | |
| Russian (style control)older version arena=text · category=russian · style_control=true | 1372.3 1362.0–1382.6 | community | LMArena Leaderboard Dataset | |
| Overall (style control) arena=text · category=overall · style_control=true | 1371.3 1367.4–1375.3 | 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 | 1370.8 1363.5–1378.0 | community | LMArena Leaderboard Dataset | |
| Polish (style control)older version arena=text · category=polish · style_control=true | 1370.3 1356.1–1384.4 | 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 | 1368.6 1360.3–1376.9 | community | LMArena Leaderboard Dataset | |
| German (style control)older version arena=text · category=german · style_control=true | 1365.1 1345.9–1384.4 | community | LMArena Leaderboard Dataset | |
| Industry Mathematical (style control)older version arena=text · category=industry_mathematical · style_control=true | 1363.5 1353.2–1373.7 | community | LMArena Leaderboard Dataset | |
| Math (style control)older version arena=text · category=math · style_control=true | 1362.8 1352.8–1372.7 | community | LMArena Leaderboard Dataset | |
| Spanish (style control)older version arena=text · category=spanish · style_control=true | 1361.0 1335.3–1386.6 | community | LMArena Leaderboard Dataset | |
| Non English (style control)older version arena=text · category=non_english · style_control=true | 1355.1 1350.0–1360.2 | community | LMArena Leaderboard Dataset | |
| Exclude Ties (style control)older version arena=text · category=exclude_ties · style_control=true | 1346.1 1340.8–1351.4 | community | LMArena Leaderboard Dataset | |
| Japanese (style control)older version arena=text · category=japanese · style_control=true | 1339.0 1319.0–1359.0 | community | LMArena Leaderboard Dataset | |
| Korean (style control)older version arena=text · category=korean · style_control=true | 1329.7 1306.0–1353.4 | community | LMArena Leaderboard Dataset |
knowledge science
| GPQA Diamond | 64K budget | 78.5 % | independent | Epoch AI Benchmarking Hub 2025-05-26 |
| GPQA Diamond | 32K budget | 76.8 % | independent | Epoch AI Benchmarking Hub 2025-03-10 |
| GPQA Diamond | 16K budget | 76.8 % | independent | Epoch AI Benchmarking Hub 2025-02-26 |
| GPQA Diamond implementation=vals-ai | thinking | 75.3 % | independent | Vals AI |
| GPQA Diamond implementation=vals-ai | 67.4 % | independent | Vals AI | |
| GPQA Diamond | 66.0 % | independent | Epoch AI Benchmarking Hub 2025-02-24 | |
| MMLU-Pro implementation=vals-ai | thinking | 82.7 % | independent | Vals AI |
| MMLU-Pro implementation=vals-ai | 80.7 % | independent | Vals AI |
multimodal
| MMMU implementation=vals-ai | thinking | 75.1 % | independent | Vals AI |
| MMMU implementation=vals-ai | 71.5 % | independent | Vals AI |
professional
| CorpFin | thinking | 60.4 % | independent | Vals AI |
| LegalBench | thinking | 82.5 % | independent | Vals AI |
| LegalBench | 80.0 % | independent | Vals AI | |
| MedQA | thinking | 90.2 % | independent | Vals AI |
| TaxEval | thinking | 74.0 % | independent | Vals AI |
| TaxEval | 72.4 % | independent | Vals AI |
reasoning math
| AIME implementation=vals-ai | thinking | 44.6 % | independent | Vals AI |
| AIME implementation=vals-ai | 22.3 % | independent | Vals AI | |
| FrontierMath | 16K budget | 4.1 % | independent | Epoch AI Benchmarking Hub 2025-03-06 |
| FrontierMath | 32K budget | 3.5 % | independent | Epoch AI Benchmarking Hub 2025-03-13 |
| FrontierMath | 64K budget | 3.1 % | independent | Epoch AI Benchmarking Hub 2025-03-13 |
| FrontierMath | 3.1 % | independent | Epoch AI Benchmarking Hub 2025-03-06 | |
| MATH-500 implementation=vals-ai | thinking | 91.6 % | independent | Vals AI |
| MATH-500 implementation=vals-ai | 76.8 % | independent | Vals AI | |
| MATH Level 5 | 64K budget | 91.2 % | independent | Epoch AI Benchmarking Hub 2025-03-13 |
| MATH Level 5 | 32K budget | 90.0 % | independent | Epoch AI Benchmarking Hub 2025-03-12 |
| MATH Level 5 | 16K budget | 86.3 % | independent | Epoch AI Benchmarking Hub 2025-02-26 |
| MATH Level 5 | 68.2 % | independent | Epoch AI Benchmarking Hub 2025-02-24 | |
| OTIS Mock AIME 2024–2025 | 64K budget | 57.8 % | independent | Epoch AI Benchmarking Hub 2025-03-13 |
| OTIS Mock AIME 2024–2025 | 32K budget | 53.3 % | independent | Epoch AI Benchmarking Hub 2025-03-12 |
| OTIS Mock AIME 2024–2025 | 16K budget | 46.7 % | independent | Epoch AI Benchmarking Hub 2025-02-26 |
| OTIS Mock AIME 2024–2025 | 21.9 % | independent | Epoch AI Benchmarking Hub 2025-02-25 |
Agent + model results
systems, not bare-model scores
| agent + model Aime-coder v1 + Claude 3.7 Sonnet 20250219 | SWE-bench Verified | 66.4 % | unverified | SWE-bench Leaderboard |
| agent + model SWE-agent + Claude 3.7 Sonnet 20250219 | SWE-bench Verified | 62.4 % | community | SWE-bench Leaderboard |
| agent + model Epoch Inspect harness + Claude 3.7 Sonnet 20250219 | SWE-bench Verified | 61.0 % | independent | Epoch AI Benchmarking Hub |
| agent + model mini-SWE-agent + Claude 3.7 Sonnet 20250219 | SWE-bench Verified | 52.8 % | community | SWE-bench Leaderboard |
| agent + model mini-SWE-agent + Claude 3.7 Sonnet 20250219 | SWE-bench bash-only | 52.8 % | community | SWE-bench Leaderboard |
| agent + model SWE-agent + Claude 3.7 Sonnet 20250219 | SWE-bench Lite | 48.0 % | community | SWE-bench Leaderboard |
| agent + model SWE-agent 1.0 + Claude 3.7 Sonnet 20250219 | SWE-bench (full test split) | 33.8 % | community | SWE-bench Leaderboard |
| agent + model OpenHands-Versa + Claude 3.7 Sonnet 20250219 | SWE-bench Multimodal | 31.3 % | community | SWE-bench Leaderboard |
| agent + model Zencoder (2025-04-01) + Claude 3.7 Sonnet 20250219 | SWE-bench Multimodal | 30.6 % | community | SWE-bench Leaderboard |
| agent + model mini-SWE-agent + Claude 3.7 Sonnet 20250219 | SWE-bench bash-only | 0.4 usd_per_task | community | SWE-bench Leaderboard |
| agent + model mini-SWE-agent + Claude 3.7 Sonnet 20250219 | SWE-bench Verified | 0.4 usd_per_task | community | SWE-bench Leaderboard |
These scores measure the whole agent system (scaffold, tools, budgets) — they are never merged into the bare model’s numbers.
