Rankings / Anthropic
Claude Opus 4.8
released 2026-05-28
BenchAtlas Index
as of 2026-07-14
max effort
rank #11
7 families · 4 categories · medium
max effort
rank #13
7 families · 4 categories · medium
max effort
rank #23
5 families · 3 categories · medium
Benchmark evidence
76 results
agentic coding
| Release 2026-06-25 tasks_counted=3 · livebench_version=2026-06-25 | xhigh effort | 56.1 % | independent | LiveBench |
| τ²-Bench | max effort | 94.4 % | independent | Artificial Analysis |
| τ²-Bench subset=banking | max effort | 27.6 % | independent | Artificial Analysis |
coding
| Release 2026-06-25 tasks_counted=2 · livebench_version=2026-06-25 | xhigh effort | 79.3 % | independent | LiveBench |
| SciCode | max effort | 53.5 % | independent | Artificial Analysis |
data analysis
| Release 2026-06-25 tasks_counted=3 · livebench_version=2026-06-25 | xhigh effort | 78.3 % | independent | LiveBench |
external indices
| AA Coding Index | max effort | 74.3 points | independent | Artificial Analysis |
| Intelligence Index v4.1 | max effort | 55.7 points | independent | Artificial Analysis |
| ECI | max effort | 157.8 points | independent | Epoch AI Benchmarking Hub |
| ECI | high effort | 157.8 points | independent | Epoch AI Benchmarking Hub |
| ECI | 157.8 points | independent | Epoch AI Benchmarking Hub | |
| ECI | medium effort | 157.8 points | independent | Epoch AI Benchmarking Hub |
| ECI | xhigh effort | 157.8 points | independent | Epoch AI Benchmarking Hub |
| ECI | no reasoning | 157.8 points | independent | Epoch AI Benchmarking Hub |
| ECI | low effort | 157.8 points | independent | Epoch AI Benchmarking Hub |
| Vals Index | max effort | 70.4 points | independent | Vals AI |
factuality
| SimpleQA Verified | max effort | 39.5 % | independent | Epoch AI Benchmarking Hub 2026-05-29 |
human preference
| Coding (style control)older version arena=text · category=coding · style_control=true | 1532.6 1524.6–1540.7 | community | LMArena Leaderboard Dataset | |
| Chinese (style control)older version arena=text · category=chinese · style_control=true | 1529.0 1511.6–1546.4 | community | LMArena Leaderboard Dataset | |
| Industry Software And It Services (style control)older version arena=text · category=industry_software_and_it_services · style_control=true | 1517.9 1510.7–1525.0 | community | LMArena Leaderboard Dataset | |
| Expert (style control)older version arena=text · category=expert · style_control=true | 1515.6 1503.7–1527.4 | community | LMArena Leaderboard Dataset | |
| Hard Prompts English (style control)older version arena=text · category=hard_prompts_english · style_control=true | 1509.3 1501.7–1516.9 | community | LMArena Leaderboard Dataset | |
| Hard Prompts (style control)older version arena=text · category=hard_prompts · style_control=true | 1507.5 1501.2–1513.8 | community | LMArena Leaderboard Dataset | |
| French (style control)older version arena=text · category=french · style_control=true | 1503.8 1483.7–1523.8 | community | LMArena Leaderboard Dataset | |
| Longer Query (style control)older version arena=text · category=longer_query · style_control=true | 1503.2 1496.0–1510.5 | community | LMArena Leaderboard Dataset | |
| Multi Turn (style control)older version arena=text · category=multi_turn · style_control=true | 1500.0 1490.7–1509.3 | 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 | 1499.2 1489.7–1508.7 | community | LMArena Leaderboard Dataset | |
| Industry Medicine And Healthcare (style control)older version arena=text · category=industry_medicine_and_healthcare · style_control=true | 1498.8 1485.0–1512.6 | community | LMArena Leaderboard Dataset | |
| Industry Legal And Government (style control)older version arena=text · category=industry_legal_and_government · style_control=true | 1497.5 1484.3–1510.8 | 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 | 1493.0 1484.2–1501.9 | community | LMArena Leaderboard Dataset | |
| Russian (style control)older version arena=text · category=russian · style_control=true | 1486.6 1474.8–1498.5 | community | LMArena Leaderboard Dataset | |
| Exclude Ties (style control)older version arena=text · category=exclude_ties · style_control=true | 1486.0 1479.0–1493.0 | community | LMArena Leaderboard Dataset | |
| Industry Mathematical (style control)older version arena=text · category=industry_mathematical · style_control=true | 1485.8 1469.3–1502.3 | community | LMArena Leaderboard Dataset | |
| Polish (style control)older version arena=text · category=polish · style_control=true | 1485.4 1460.2–1510.7 | community | LMArena Leaderboard Dataset | |
| English (style control)older version arena=text · category=english · style_control=true | 1482.7 1476.1–1489.4 | community | LMArena Leaderboard Dataset | |
| Instruction Following (style control)older version arena=text · category=instruction_following · style_control=true | 1478.9 1471.4–1486.4 | community | LMArena Leaderboard Dataset | |
| Math (style control)older version arena=text · category=math · style_control=true | 1477.9 1461.7–1494.1 | community | LMArena Leaderboard Dataset | |
| Overall (style control) arena=text · category=overall · style_control=true | 1475.5 1470.2–1480.8 | 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 | 1468.8 1460.6–1477.1 | community | LMArena Leaderboard Dataset | |
| Non English (style control)older version arena=text · category=non_english · style_control=true | 1465.5 1458.8–1472.1 | community | LMArena Leaderboard Dataset | |
| Spanish (style control)older version arena=text · category=spanish · style_control=true | 1461.1 1440.0–1482.2 | community | LMArena Leaderboard Dataset | |
| Creative Writing (style control)older version arena=text · category=creative_writing · style_control=true | 1461.1 1451.5–1470.6 | 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 | 1454.8 1446.1–1463.4 | community | LMArena Leaderboard Dataset |
knowledge science
| GPQA Diamond implementation=vals-ai | max effort | 92.4 % | independent | Vals AI |
| GPQA Diamond implementation=artificial-analysis | max effort | 92.0 % | independent | Artificial Analysis |
| GPQA Diamond | max effort | 91.0 % | independent | Epoch AI Benchmarking Hub 2026-06-07 |
| Humanity's Last Exam implementation=artificial-analysis | max effort | 45.7 % | independent | Artificial Analysis |
| MMLU-Pro implementation=vals-ai | max effort | 89.6 % | independent | Vals AI |
language
| Release 2026-06-25 tasks_counted=3 · livebench_version=2026-06-25 | xhigh effort | 81.4 % | independent | LiveBench |
long context instruction
| AA-LCR | max effort | 67.7 % | independent | Artificial Analysis |
| IFBench | max effort | 62.2 % | independent | Artificial Analysis |
| Release 2026-06-25 tasks_counted=4 · livebench_version=2026-06-25 | xhigh effort | 72.4 % | independent | LiveBench |
multimodal
| MMMU implementation=vals-ai | max effort | 86.6 % | independent | Vals AI |
professional
| CorpFin | max effort | 66.7 % | independent | Vals AI |
| LegalBench | max effort | 83.6 % | independent | Vals AI |
| TaxEval | max effort | 75.6 % | independent | Vals AI |
reasoning math
| ARC-AGI-1older version split=semi_private · model_type=CoT | max effort | 92.5 % | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=CoT | high effort | 92.0 % | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=CoT | medium effort | 91.5 % | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=CoT | low effort | 88.0 % | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=CoT | high effort | 72.1 % | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=CoT | medium effort | 71.7 % | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=CoT | low effort | 62.2 % | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=CoT | high effort | 2.7 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=CoT | medium effort | 2.4 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=CoT | max effort | 2.3 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=CoT | low effort | 1.7 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-3older version split=semi_private · model_type=CoT | high effort | 1.5 % | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=CoT | high effort | 1.0 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=CoT | medium effort | 0.9 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=CoT | low effort | 0.7 usd_per_task | independent | ARC Prize Leaderboard |
| FrontierMath | max effort | 47.2 % | independent | Epoch AI Benchmarking Hub 2026-06-08 |
| FrontierMath Tier 4older version | max effort | 31.3 % | independent | Epoch AI Benchmarking Hub 2026-06-08 |
| Release 2026-06-25 tasks_counted=4 · livebench_version=2026-06-25 | xhigh effort | 95.3 % | independent | LiveBench |
| Release 2026-06-25 tasks_counted=4 · livebench_version=2026-06-25 | xhigh effort | 89.7 % | independent | LiveBench |
| OTIS Mock AIME 2024–2025 | max effort | 98.3 % | independent | Epoch AI Benchmarking Hub 2026-06-07 |
Agent + model results
systems, not bare-model scores
| agent + model Artificial Analysis harness + Claude Opus 4.8 | Terminal-Bench 2.1 | 84.6 % | independent | Artificial Analysis |
| agent + model Claude Code + Claude Opus 4.8 | Terminal-Bench 2.1 | 78.9 % | community | Terminal-Bench Leaderboard |
| agent + model terminus-2 + Claude Opus 4.8 | Terminal-Bench 2.1 | 74.6 % | community | Terminal-Bench Leaderboard |
| agent + model Artificial Analysis harness + Claude Opus 4.8 | Terminal-Bench Hard | 58.3 % | independent | Artificial Analysis |
These scores measure the whole agent system (scaffold, tools, budgets) — they are never merged into the bare model’s numbers.
