Benchmark By Score Rank
Overall 1
AA Intelligence Index4.3.2 AA Intelligence Index 4.3.2: Artificial Analysis combines tests of knowledge, reasoning, coding and tool use into one score AA 27.5 #65 of 334
Knowledge 19
Arena Text Arena Text · overall: Human pairwise preferences in the stated text vote pool Arena 1,466 #34 of 196+12 versions & slices English Arena Text · english: Human pairwise preferences in the stated text vote pool Arena 1,448 #51 of 188instruction following Arena Text · instruction following: Human pairwise preferences in the stated text vote pool Arena 1,456 #33 of 188non-English Arena Text · non english: Human pairwise preferences in the stated text vote pool Arena 1,440 #35 of 188overall · full cohort Arena Text · overall · snapshot 2026-10-15 · native board settings: Human pairwise preferences in the stated text vote pool Arena 1,447 #40 of 188Russian Arena Text · russian: Human pairwise preferences in the stated text vote pool Arena 1,452 #34 of 186Chinese Arena Text · chinese: Human pairwise preferences in the stated text vote pool Arena 1,515 #25 of 181Spanish Arena Text · spanish: Human pairwise preferences in the stated text vote pool Arena 1,450 #44 of 155German Arena Text · german: Human pairwise preferences in the stated text vote pool Arena 1,458 #29 of 154French Arena Text · french: Human pairwise preferences in the stated text vote pool Arena 1,469 #37 of 149Korean Arena Text · korean: Human pairwise preferences in the stated text vote pool Arena 1,427 #25 of 144Japanese Arena Text · japanese: Human pairwise preferences in the stated text vote pool Arena 1,456 #16 of 138Polish Arena Text · polish: Human pairwise preferences in the stated text vote pool Arena 1,447 #31 of 133
AA Omniscience Index AA Omniscience Index: Scores factual knowledge while penalizing incorrect answers to encourage admitting uncertainty AA -6.8 #85 of 318
SimpleQA Verifiedv1 SimpleQA Verified v1: Accuracy on short factual questions with verified answers, answered without web access 43.2% #37 of 83
AA OmniscienceAccuracy AA Omniscience · Accuracy: Measures correct answers on the AA Omniscience factual knowledge test AA 43.7% #37 of 318+1 versions & slices Hallucination Rate AA Omniscience · Hallucination Rate: Measures how often attempted answers are incorrect on the AA Omniscience factual knowledge test AA 89.9% #247 of 318
IFBench (instructions) IFBench (instructions): Checks whether the model follows precise formatting and content instructions AA 59.7% #85 of 245
Mystery Game Puzzles Mystery Game Puzzles: Models choose the best move in puzzle positions from an undisclosed game Epoch 19% #37 of 64
Reasoning 6
Chess Puzzles Chess Puzzles: Models choose the best next move from a novel chess position Epoch 27% #41 of 68
ARC-AGI-2semi-private ARC-AGI-2 · semi-private: Models infer transformations from examples and solve unseen grid puzzles; the evaluation split is explicit ARC 18.8% #40 of 66+1 versions & slices public evaluation ARC-AGI-2 · public-eval: Models infer transformations from examples and solve unseen grid puzzles; the evaluation split is explicit ARC 14.9% #38 of 63
ARC-AGI-1semi-private ARC-AGI-1 · semi-private: Models infer transformations from examples and solve unseen grid puzzles; the evaluation split is explicit ARC 60.2% #46 of 64+1 versions & slices public evaluation ARC-AGI-1 · public-eval: Models infer transformations from examples and solve unseen grid puzzles; the evaluation split is explicit ARC 70.8% #41 of 61
ARC-AGI-3semi-private ARC-AGI-3 · semi-private: Measures interactive game solving through relative human action efficiency ARC 0% #18 of 18
Math 2
FrontierMath Tiers 1–3 (v2) FrontierMath Tiers 1–3 (v2): Models solve expert-written advanced mathematics problems on the named tier and edition Epoch 86% #10 of 69
FrontierMath Tier 4 (v2) FrontierMath Tier 4 (v2): Models solve expert-written advanced mathematics problems on the named tier and edition Epoch 70.7% #13 of 54
Science 2
Humanity's Last Exam Humanity's Last Exam: Very hard expert questions across many fields, written to stump today’s models AA 29.2% #84 of 334
CritPt (physics) CritPt (physics): Research-level physics problems that need many careful reasoning steps AA 9.4% #60 of 321
Health & law 5
Vals LegalBench Vals LegalBench: Legal reasoning and legal-language understanding on LegalBench Vals 85.1% #21 of 89
Vals MedScribe Vals MedScribe: Accuracy of clinical notes produced from consultation transcripts Vals 82.9% #43 of 80
Vals MedCode Vals MedCode: Medical coding accuracy on patient encounters Vals 43.4% #37 of 78
Vals Legal Research Bench Vals Legal Research Bench: Grounded legal research; a task passes only if all criteria pass Vals 41.4% #22 of 69
MLCR-AA MLCR-AA: Models synthesize long medical records; the headline credits concise answers judged both accurate and complete AA 8.9% #43 of 64
Documents 2
AA-LCR (long context)1.1 AA-LCR (long context) 1.1: Questions that need reading and connecting facts across very long documents (around 100K tokens) AA 71.3% #116 of 273
GDP.pdfAA all-pass GDP.pdf · AA all-pass: Models reason over professional PDF documents; an attempt passes only when every atomic criterion passes 17.6% #31 of 133
Legacy · saturated or no longer reported 3
GPQA Diamond GPQA Diamond: Graduate-level biology, chemistry and physics questions that can’t be solved by a quick web search 84.3% #88 of 312+1 versions & slices Epoch GPQA Diamond · source setting 2: Models answer graduate-level science multiple-choice questions Epoch 87.4% #48 of 133
OTIS Mock AIME 20242025 OTIS Mock AIME 2024 2025: Models solve the stated OTIS mock AIME mathematics problems Epoch 88.9% #48 of 130
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