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 42.8 #22 of 334
Knowledge 18
Arena Text Arena Text · overall: Human pairwise preferences in the stated text vote pool Arena 1,454 #47 of 196+12 versions & slices English Arena Text · english: Human pairwise preferences in the stated text vote pool Arena 1,433 #72 of 188instruction following Arena Text · instruction following: Human pairwise preferences in the stated text vote pool Arena 1,431 #53 of 188non-English Arena Text · non english: Human pairwise preferences in the stated text vote pool Arena 1,419 #62 of 188overall · full cohort Arena Text · overall · snapshot 2026-10-15 · native board settings: Human pairwise preferences in the stated text vote pool Arena 1,428 #67 of 188Russian Arena Text · russian: Human pairwise preferences in the stated text vote pool Arena 1,422 #64 of 186Chinese Arena Text · chinese: Human pairwise preferences in the stated text vote pool Arena 1,475 #60 of 181Spanish Arena Text · spanish: Human pairwise preferences in the stated text vote pool Arena 1,404 #83 of 155German Arena Text · german: Human pairwise preferences in the stated text vote pool Arena 1,432 #49 of 154French Arena Text · french: Human pairwise preferences in the stated text vote pool Arena 1,457 #45 of 149Korean Arena Text · korean: Human pairwise preferences in the stated text vote pool Arena 1,396 #47 of 144Japanese Arena Text · japanese: Human pairwise preferences in the stated text vote pool Arena 1,380 #59 of 138Polish Arena Text · polish: Human pairwise preferences in the stated text vote pool Arena 1,430 #49 of 133
AA Omniscience Index AA Omniscience Index: Scores factual knowledge while penalizing incorrect answers to encourage admitting uncertainty AA 28 #15 of 318
SimpleQA Verifiedv1 SimpleQA Verified v1: Accuracy on short factual questions with verified answers, answered without web access 52.9% #23 of 83
AA OmniscienceAccuracy AA Omniscience · Accuracy: Measures correct answers on the AA Omniscience factual knowledge test AA 41.9% #41 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 24% #16 of 318
Mystery Game Puzzles Mystery Game Puzzles: Models choose the best move in puzzle positions from an undisclosed game Epoch 34% #19 of 64
Reasoning 6
Chess Puzzles Chess Puzzles: Models choose the best next move from a novel chess position Epoch 33% #40 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 61.3% #23 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 67.4% #18 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 87.5% #28 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 94.8% #25 of 61
ARC-AGI-3semi-private ARC-AGI-3 · semi-private: Measures interactive game solving through relative human action efficiency ARC 2.1% #8 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 66% #28 of 69
FrontierMath Tier 4 (v2) FrontierMath Tier 4 (v2): Models solve expert-written advanced mathematics problems on the named tier and edition Epoch 31.7% #25 of 54
Science 3
Humanity's Last Exam Humanity's Last Exam: Very hard expert questions across many fields, written to stump today’s models AA 42.1% #37 of 334
CritPt (physics) CritPt (physics): Research-level physics problems that need many careful reasoning steps AA 17.7% #36 of 321
Vals Science Index Vals Science Index: Scientific problem solving across the index’s component evaluations Vals 38.1% #10 of 18
Health & law 5
Vals LegalBench Vals LegalBench: Legal reasoning and legal-language understanding on LegalBench Vals 86.3% #11 of 89
Vals MedScribe Vals MedScribe: Accuracy of clinical notes produced from consultation transcripts Vals 86.5% #20 of 80
Vals MedCode Vals MedCode: Medical coding accuracy on patient encounters Vals 44.7% #32 of 78
Vals Legal Research Bench Vals Legal Research Bench: Grounded legal research; a task passes only if all criteria pass Vals 48.1% #8 of 69
MLCR-AA MLCR-AA: Models synthesize long medical records; the headline credits concise answers judged both accurate and complete AA 12.2% #37 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 81% #34 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 17.8% #30 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 93.5% #8 of 312+1 versions & slices Epoch GPQA Diamond · source setting 2: Models answer graduate-level science multiple-choice questions Epoch 94% #10 of 133
OTIS Mock AIME 20242025 OTIS Mock AIME 2024 2025: Models solve the stated OTIS mock AIME mathematics problems Epoch 99.2% #13 of 130
No benchmark matches
CheaperGemini 3.8 Flashunstatedsame-50%*$0.75 / $3.75Sampling parameters are ignored+1
BetterClaude Fable 5unstated+3%+567%$10 / $50
OpenKimi K3unstatedsame+100%$3 / $15Sampling parameters are fixed+3
MiniMax M3unstatedOpensame-83%$0.30 / $1.20No strict JSON+1
Muse Spark 1.2unstated-1%-33%$1.25 / $4.25Only auto tool_choice is supported+1
GLM 5.3unstatedOpen-2%-28%$1.40 / $4.40No image input+4