Rankings / Anthropic
Claude Haiku 4.5 20251001
released 2025-10-01
BenchAtlas Index
as of 2026-07-14
thinking
rank #164
4 families · 3 categories · medium
32K budget
rank #191
6 families · 3 categories · medium
thinking
rank #205
10 families · 4 categories · medium
Benchmark evidence
96 results
external indices
| ECI | 16K budget | 142.9 points | independent | Epoch AI Benchmarking Hub |
| ECI | 8K budget | 142.9 points | independent | Epoch AI Benchmarking Hub |
| ECI | 1K budget | 142.9 points | independent | Epoch AI Benchmarking Hub |
| ECI | 142.9 points | independent | Epoch AI Benchmarking Hub | |
| ECI | 32K budget | 142.9 points | independent | Epoch AI Benchmarking Hub |
| Vals Index | thinking | 40.9 points | independent | Vals AI |
factuality
| SimpleQA Verified | 32K budget | 5.9 % | independent | Epoch AI Benchmarking Hub 2025-12-09 |
human preference
| Coding (style control)older version arena=text · category=coding · style_control=true | 1479.0 1474.3–1483.7 | community | LMArena Leaderboard Dataset | |
| Industry Software And It Services (style control)older version arena=text · category=industry_software_and_it_services · style_control=true | 1462.2 1458.2–1466.3 | community | LMArena Leaderboard Dataset | |
| Expert (style control)older version arena=text · category=expert · style_control=true | 1456.1 1448.6–1463.5 | community | LMArena Leaderboard Dataset | |
| Hard Prompts English (style control)older version arena=text · category=hard_prompts_english · style_control=true | 1454.7 1450.3–1459.1 | community | LMArena Leaderboard Dataset | |
| Hard Prompts (style control)older version arena=text · category=hard_prompts · style_control=true | 1439.7 1436.2–1443.2 | community | LMArena Leaderboard Dataset | |
| Chinese (style control)older version arena=text · category=chinese · style_control=true | 1438.3 1429.0–1447.6 | community | LMArena Leaderboard Dataset | |
| Longer Query (style control)older version arena=text · category=longer_query · style_control=true | 1437.0 1432.6–1441.5 | community | LMArena Leaderboard Dataset | |
| English (style control)older version arena=text · category=english · style_control=true | 1432.1 1428.4–1435.7 | community | LMArena Leaderboard Dataset | |
| Spanish (style control)older version arena=text · category=spanish · style_control=true | 1430.9 1417.7–1444.1 | community | LMArena Leaderboard Dataset | |
| Industry Mathematical (style control)older version arena=text · category=industry_mathematical · style_control=true | 1430.7 1421.7–1439.6 | 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 | 1429.9 1424.5–1435.3 | community | LMArena Leaderboard Dataset | |
| Multi Turn (style control)older version arena=text · category=multi_turn · style_control=true | 1425.3 1420.1–1430.6 | community | LMArena Leaderboard Dataset | |
| Industry Medicine And Healthcare (style control)older version arena=text · category=industry_medicine_and_healthcare · style_control=true | 1423.5 1415.2–1431.7 | community | LMArena Leaderboard Dataset | |
| French (style control)older version arena=text · category=french · style_control=true | 1423.5 1409.4–1437.6 | 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 | 1416.3 1411.2–1421.4 | community | LMArena Leaderboard Dataset | |
| Instruction Following (style control)older version arena=text · category=instruction_following · style_control=true | 1415.1 1410.8–1419.4 | community | LMArena Leaderboard Dataset | |
| Industry Legal And Government (style control)older version arena=text · category=industry_legal_and_government · style_control=true | 1415.0 1407.4–1422.6 | community | LMArena Leaderboard Dataset | |
| Overall (style control) arena=text · category=overall · style_control=true | 1412.1 1409.4–1414.9 | community | LMArena Leaderboard Dataset | |
| German (style control)older version arena=text · category=german · style_control=true | 1403.1 1387.1–1419.0 | community | LMArena Leaderboard Dataset | |
| Exclude Ties (style control)older version arena=text · category=exclude_ties · style_control=true | 1399.3 1395.5–1403.0 | 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 | 1399.1 1394.3–1403.8 | community | LMArena Leaderboard Dataset | |
| Math (style control)older version arena=text · category=math · style_control=true | 1398.9 1390.8–1407.0 | community | LMArena Leaderboard Dataset | |
| Russian (style control)older version arena=text · category=russian · style_control=true | 1398.1 1391.5–1404.7 | community | LMArena Leaderboard Dataset | |
| Creative Writing (style control)older version arena=text · category=creative_writing · style_control=true | 1388.8 1383.2–1394.4 | community | LMArena Leaderboard Dataset | |
| Non English (style control)older version arena=text · category=non_english · style_control=true | 1388.6 1385.1–1392.1 | 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 | 1387.3 1382.3–1392.4 | community | LMArena Leaderboard Dataset | |
| Polish (style control)older version arena=text · category=polish · style_control=true | 1370.7 1358.4–1383.0 | community | LMArena Leaderboard Dataset | |
| Korean (style control)older version arena=text · category=korean · style_control=true | 1358.2 1341.2–1375.1 | community | LMArena Leaderboard Dataset | |
| Japanese (style control)older version arena=text · category=japanese · style_control=true | 1351.3 1329.6–1372.9 | community | LMArena Leaderboard Dataset |
knowledge science
| GPQA Diamond implementation=vals-ai | thinking | 72.2 % | independent | Vals AI |
| GPQA Diamond | 32K budget | 71.2 % | independent | Epoch AI Benchmarking Hub 2025-10-22 |
| GPQA Diamond | 60.5 % | independent | Epoch AI Benchmarking Hub 2025-10-16 | |
| MMLU-Pro implementation=vals-ai | thinking | 78.7 % | independent | Vals AI |
long context instruction
| MultiChallenge | thinking | 50.5 % 48.5–52.5 | independent | Scale Labs |
multimodal
| MMMU implementation=vals-ai | thinking | 46.1 % | independent | Vals AI |
professional
| CaseLaw | thinking | 56.5 % | independent | Vals AI |
| CorpFin | thinking | 60.6 % | independent | Vals AI |
| CorpFin | 60.3 % | independent | Vals AI | |
| LegalBench | thinking | 81.2 % | independent | Vals AI |
| MedQA | thinking | 79.6 % | independent | Vals AI |
| TaxEval | thinking | 67.5 % | independent | Vals AI |
reasoning math
| AIME implementation=vals-ai | thinking | 82.7 % | independent | Vals AI |
| ARC-AGI-1older version split=public_eval · model_type=CoT | thinking · 32K budget | 62.9 % | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=public_eval · model_type=CoT | thinking · 16K budget | 51.4 % | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=CoT | thinking · 32K budget | 47.7 % | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=public_eval · model_type=CoT | thinking · 8K budget | 45.0 % | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=CoT | thinking · 16K budget | 37.3 % | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=public_eval · model_type=CoT | thinking · 1K budget | 27.1 % | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=public_eval · model_type=Base LLM | 26.6 % | independent | ARC Prize Leaderboard | |
| ARC-AGI-1older version split=semi_private · model_type=CoT | thinking · 8K budget | 25.5 % | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=CoT | thinking · 1K budget | 16.8 % | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=Base LLM | 14.3 % | independent | ARC Prize Leaderboard | |
| ARC-AGI-2 split=public_eval · model_type=CoT | thinking · 32K budget | 5.1 % | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=public_eval · model_type=CoT | thinking · 16K budget | 4.2 % | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=CoT | thinking · 32K budget | 4.0 % | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=CoT | thinking · 16K budget | 2.8 % | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=public_eval · model_type=CoT | thinking · 8K budget | 2.1 % | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=CoT | thinking · 8K budget | 1.7 % | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=CoT | thinking · 1K budget | 1.3 % | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=Base LLM | 1.3 % | independent | ARC Prize Leaderboard | |
| ARC-AGI-2 split=public_eval · model_type=CoT | thinking · 32K budget | 0.4 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=CoT | thinking · 32K budget | 0.4 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=CoT | thinking · 32K budget | 0.3 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=public_eval · model_type=CoT | thinking · 32K budget | 0.2 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=public_eval · model_type=CoT | thinking · 16K budget | 0.1 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=CoT | thinking · 16K budget | 0.1 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=CoT | thinking · 16K budget | 0.1 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=public_eval · model_type=CoT | thinking · 16K budget | 0.1 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=public_eval · model_type=CoT | thinking · 8K budget | 0.1 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=CoT | thinking · 8K budget | 0.1 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=CoT | thinking · 8K budget | 0.1 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=public_eval · model_type=CoT | thinking · 8K budget | 0.1 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=public_eval · model_type=CoT | thinking · 1K budget | 0.0 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=CoT | thinking · 1K budget | 0.0 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=public_eval · model_type=Base LLM | 0.0 usd_per_task | independent | ARC Prize Leaderboard | |
| ARC-AGI-2 split=semi_private · model_type=Base LLM | 0.0 usd_per_task | independent | ARC Prize Leaderboard | |
| ARC-AGI-1older version split=semi_private · model_type=CoT | thinking · 1K budget | 0.0 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=public_eval · model_type=CoT | thinking · 1K budget | 0.0 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=Base LLM | 0.0 usd_per_task | independent | ARC Prize Leaderboard | |
| ARC-AGI-1older version split=public_eval · model_type=Base LLM | 0.0 usd_per_task | independent | ARC Prize Leaderboard | |
| ARC-AGI-2 split=public_eval · model_type=CoT | thinking · 1K budget | 0.0 % | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=public_eval · model_type=Base LLM | 0.0 % | independent | ARC Prize Leaderboard | |
| FrontierMath | 32K budget | 5.9 % | independent | Epoch AI Benchmarking Hub 2025-10-22 |
| FrontierMath | 4.1 % | independent | Epoch AI Benchmarking Hub 2025-10-16 | |
| FrontierMath Tier 4older version | 32K budget | 2.1 % | independent | Epoch AI Benchmarking Hub 2025-10-22 |
| MATH Level 5 | 32K budget | 96.4 % | independent | Epoch AI Benchmarking Hub 2025-10-22 |
| MATH Level 5 | 86.9 % | independent | Epoch AI Benchmarking Hub 2025-10-16 | |
| OTIS Mock AIME 2024–2025 | 32K budget | 66.7 % | independent | Epoch AI Benchmarking Hub 2025-10-22 |
| OTIS Mock AIME 2024–2025 | 35.8 % | independent | Epoch AI Benchmarking Hub 2025-10-16 |
Agent + model results
systems, not bare-model scores
| agent + model mini-SWE-agent + Claude Haiku 4.5 20251001 | SWE-bench Verified | 66.6 % | unverified | SWE-bench Leaderboard |
| agent + model mini-SWE-agent + Claude Haiku 4.5 20251001 | SWE-bench bash-only | 66.6 % | unverified | SWE-bench Leaderboard |
| agent + model mini-SWE-agent + Claude Haiku 4.5 20251001 | SWE-bench Multilingual | 64.7 % | community | SWE-bench Leaderboard |
| agent + model mini-SWE-agent + Claude Haiku 4.5 20251001 | SWE-bench Multilingual | 0.4 usd_per_task | community | SWE-bench Leaderboard |
| agent + model mini-SWE-agent + Claude Haiku 4.5 20251001 | SWE-bench bash-only | 0.3 usd_per_task | unverified | SWE-bench Leaderboard |
| agent + model mini-SWE-agent + Claude Haiku 4.5 20251001 | SWE-bench Verified | 0.3 usd_per_task | unverified | SWE-bench Leaderboard |
| agent + model mini-SWE-agent + Claude Haiku 4.5 20251001 | Terminal-Bench 2.0 | 29.8 % | community | Terminal-Bench Leaderboard |
| agent + model terminus-2 + Claude Haiku 4.5 20251001 | Terminal-Bench 2.0 | 28.3 % | community | Terminal-Bench Leaderboard |
| agent + model Claude Code + Claude Haiku 4.5 20251001 | Terminal-Bench 2.0 | 27.5 % | community | Terminal-Bench Leaderboard |
| agent + model OpenHands + Claude Haiku 4.5 20251001 | Terminal-Bench 2.0 | 13.9 % | community | Terminal-Bench Leaderboard |
These scores measure the whole agent system (scaffold, tools, budgets) — they are never merged into the bare model’s numbers.
