Rankings / Anthropic
Claude Sonnet 5
proprietaryreleased 2026-06-30
BenchAtlas Index
as of 2026-07-14
max effort
rank #31
7 families · 4 categories · medium
max effort
rank #42
6 families · 4 categories · medium
xhigh effort
rank #67
8 families · 5 categories · high
Benchmark evidence
56 results
agentic coding
| Release 2026-06-25 tasks_counted=3 · livebench_version=2026-06-25 | xhigh effort | 51.1 % | independent | LiveBench |
| τ²-Bench subset=banking | max effort | 28.3 % | independent | Artificial Analysis |
| τ²-Bench subset=banking | high effort | 14.0 % | independent | Artificial Analysis |
coding
| Release 2026-06-25 tasks_counted=2 · livebench_version=2026-06-25 | xhigh effort | 80.7 % | independent | LiveBench |
| SciCode | max effort | 53.6 % | independent | Artificial Analysis |
| SciCode | high effort | 48.6 % | independent | Artificial Analysis |
data analysis
| Release 2026-06-25 tasks_counted=3 · livebench_version=2026-06-25 | xhigh effort | 71.7 % | independent | LiveBench |
external indices
| AA Coding Index | max effort | 71.5 points | independent | Artificial Analysis |
| AA Coding Index | high effort | 66.4 points | independent | Artificial Analysis |
| Intelligence Index v4.1 | max effort | 53.4 points | independent | Artificial Analysis |
| Intelligence Index v4.1 | high effort | 41.7 points | independent | Artificial Analysis |
| ECI | max effort | 153.2 points | independent | Epoch AI Benchmarking Hub |
| ECI | 153.2 points | independent | Epoch AI Benchmarking Hub | |
| ECI | xhigh effort | 153.2 points | independent | Epoch AI Benchmarking Hub |
| ECI | high effort | 153.2 points | independent | Epoch AI Benchmarking Hub |
| Vals Index | max effort | 68.6 points | independent | Vals AI |
factuality
| SimpleQA Verified | xhigh effort | 25.0 % | independent | Epoch AI Benchmarking Hub 2026-07-01 |
human preference
| Coding (style control)older version arena=text · category=coding · style_control=true | high effort | 1522.0 1510.1–1534.0 | community | LMArena Leaderboard Dataset |
| Expert (style control)older version arena=text · category=expert · style_control=true | high effort | 1517.0 1497.4–1536.5 | 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 | 1510.7 1500.7–1520.6 | community | LMArena Leaderboard Dataset |
| Hard Prompts (style control)older version arena=text · category=hard_prompts · style_control=true | high effort | 1492.8 1484.7–1500.9 | community | LMArena Leaderboard Dataset |
| Hard Prompts English (style control)older version arena=text · category=hard_prompts_english · style_control=true | high effort | 1490.8 1479.8–1501.8 | 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 | 1483.2 1468.0–1498.4 | community | LMArena Leaderboard Dataset |
| Longer Query (style control)older version arena=text · category=longer_query · style_control=true | high effort | 1480.8 1470.9–1490.6 | community | LMArena Leaderboard Dataset |
| Industry Mathematical (style control)older version arena=text · category=industry_mathematical · style_control=true | high effort | 1477.8 1451.9–1503.7 | community | LMArena Leaderboard Dataset |
| Industry Legal And Government (style control)older version arena=text · category=industry_legal_and_government · style_control=true | high effort | 1475.7 1454.8–1496.6 | community | LMArena Leaderboard Dataset |
| Multi Turn (style control)older version arena=text · category=multi_turn · style_control=true | high effort | 1471.0 1456.4–1485.6 | 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 | 1470.6 1457.1–1484.0 | community | LMArena Leaderboard Dataset |
| English (style control)older version arena=text · category=english · style_control=true | high effort | 1470.0 1460.8–1479.1 | community | LMArena Leaderboard Dataset |
| Exclude Ties (style control)older version arena=text · category=exclude_ties · style_control=true | high effort | 1469.5 1460.6–1478.5 | community | LMArena Leaderboard Dataset |
| Industry Medicine And Healthcare (style control)older version arena=text · category=industry_medicine_and_healthcare · style_control=true | high effort | 1465.2 1442.3–1488.2 | community | LMArena Leaderboard Dataset |
| Instruction Following (style control)older version arena=text · category=instruction_following · style_control=true | high effort | 1464.9 1454.2–1475.7 | community | LMArena Leaderboard Dataset |
| Overall (style control) arena=text · category=overall · style_control=true | high effort | 1463.4 1456.4–1470.3 | community | LMArena Leaderboard Dataset |
| Russian (style control)older version arena=text · category=russian · style_control=true | high effort | 1459.3 1440.6–1477.9 | community | LMArena Leaderboard Dataset |
| Non English (style control)older version arena=text · category=non_english · style_control=true | high effort | 1451.7 1443.1–1460.4 | 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 | 1448.0 1435.7–1460.2 | community | LMArena Leaderboard Dataset |
| Creative Writing (style control)older version arena=text · category=creative_writing · style_control=true | high effort | 1430.3 1415.7–1445.0 | 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 | 1429.9 1417.0–1442.7 | community | LMArena Leaderboard Dataset |
knowledge science
| GPQA Diamond implementation=artificial-analysis | max effort | 91.1 % | independent | Artificial Analysis |
| GPQA Diamond | xhigh effort | 90.5 % | independent | Epoch AI Benchmarking Hub 2026-07-01 |
| GPQA Diamond implementation=vals-ai | max effort | 88.9 % | independent | Vals AI |
| GPQA Diamond implementation=artificial-analysis | high effort | 80.0 % | independent | Artificial Analysis |
| Humanity's Last Exam implementation=artificial-analysis | max effort | 39.6 % | independent | Artificial Analysis |
| Humanity's Last Exam implementation=artificial-analysis | high effort | 17.8 % | independent | Artificial Analysis |
| MMLU-Pro implementation=vals-ai | max effort | 87.5 % | independent | Vals AI |
language
| Release 2026-06-25 tasks_counted=3 · livebench_version=2026-06-25 | xhigh effort | 75.0 % | independent | LiveBench |
long context instruction
| AA-LCR | max effort | 70.7 % | independent | Artificial Analysis |
| AA-LCR | high effort | 58.7 % | independent | Artificial Analysis |
| Release 2026-06-25 tasks_counted=4 · livebench_version=2026-06-25 | xhigh effort | 63.9 % | independent | LiveBench |
multimodal
| MMMU implementation=vals-ai | max effort | 83.0 % | independent | Vals AI |
professional
| CorpFin | max effort | 67.0 % | independent | Vals AI |
| LegalBench | max effort | 83.9 % | independent | Vals AI |
| TaxEval | max effort | 75.6 % | independent | Vals AI |
reasoning math
| Release 2026-06-25 tasks_counted=4 · livebench_version=2026-06-25 | xhigh effort | 92.9 % | independent | LiveBench |
| Release 2026-06-25 tasks_counted=4 · livebench_version=2026-06-25 | xhigh effort | 88.7 % | independent | LiveBench |
| OTIS Mock AIME 2024–2025 | xhigh effort | 94.7 % | independent | Epoch AI Benchmarking Hub 2026-07-01 |
Agent + model results
systems, not bare-model scores
| agent + model Artificial Analysis harness + Claude Sonnet 5 | Terminal-Bench 2.1 | 80.5 % | independent | Artificial Analysis |
| agent + model Artificial Analysis harness + Claude Sonnet 5 | Terminal-Bench 2.1 | 75.3 % | independent | Artificial Analysis |
These scores measure the whole agent system (scaffold, tools, budgets) — they are never merged into the bare model’s numbers.
