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 33.7 #47 of 334
Knowledge 20
Arena Text Arena Text · overall: Human pairwise preferences in the stated text vote pool Arena 1,476 #24 of 196+12 versions & slices English Arena Text · english: Human pairwise preferences in the stated text vote pool Arena 1,474 #25 of 188instruction following Arena Text · instruction following: Human pairwise preferences in the stated text vote pool Arena 1,466 #25 of 188non-English Arena Text · non english: Human pairwise preferences in the stated text vote pool Arena 1,459 #22 of 188overall · full cohort Arena Text · overall · snapshot 2026-10-15 · native board settings: Human pairwise preferences in the stated text vote pool Arena 1,470 #23 of 188Russian Arena Text · russian: Human pairwise preferences in the stated text vote pool Arena 1,468 #23 of 186Chinese Arena Text · chinese: Human pairwise preferences in the stated text vote pool Arena 1,520 #22 of 181Spanish Arena Text · spanish: Human pairwise preferences in the stated text vote pool Arena 1,478 #12 of 155German Arena Text · german: Human pairwise preferences in the stated text vote pool Arena 1,471 #20 of 154French Arena Text · french: Human pairwise preferences in the stated text vote pool Arena 1,479 #24 of 149Korean Arena Text · korean: Human pairwise preferences in the stated text vote pool Arena 1,440 #18 of 144Japanese Arena Text · japanese: Human pairwise preferences in the stated text vote pool Arena 1,451 #19 of 138Polish Arena Text · polish: Human pairwise preferences in the stated text vote pool Arena 1,453 #24 of 133
AA Omniscience Index AA Omniscience Index: Scores factual knowledge while penalizing incorrect answers to encourage admitting uncertainty AA 4.4 #54 of 318
SimpleQA Verifiedv1 SimpleQA Verified v1: Accuracy on short factual questions with verified answers, answered without web access 34.2% #50 of 83
AA OmniscienceAccuracy AA Omniscience · Accuracy: Measures correct answers on the AA Omniscience factual knowledge test AA 24.3% #120 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 26.3% #24 of 318
IFBench (instructions) IFBench (instructions): Checks whether the model follows precise formatting and content instructions AA 73.3% #30 of 245
Mystery Game Puzzles Mystery Game Puzzles: Models choose the best move in puzzle positions from an undisclosed game Epoch 19% #38 of 64
EQ-Bench3 EQ-Bench 3: Judge-rated responses to social and emotionally nuanced scenarios, scored through the source pairwise ranking EQ-Bench 1,575 #8 of 50
Reasoning 5
Chess Puzzles Chess Puzzles: Models choose the best next move from a novel chess position Epoch 22% #47 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 22.8% #39 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 20.8% #36 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 77% #37 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 80.4% #35 of 61
Math 17
FrontierMath Tiers 1–3 (v2) FrontierMath Tiers 1–3 (v2): Models solve expert-written advanced mathematics problems on the named tier and edition Epoch 59.2% #35 of 69
FrontierMath Tier 4 (v2) FrontierMath Tier 4 (v2): Models solve expert-written advanced mathematics problems on the named tier and edition Epoch 29.3% #29 of 54
MathArenaApex MathArena · apex · Apex: Answer accuracy on the named mathematics competition under the recorded effort MathArena 19.8% #13 of 34+14 versions & slices Apex Shortlist MathArena · apex · Apex Shortlist: Answer accuracy on the named mathematics competition under the recorded effort MathArena 68.1% #17 of 30AIME 2026 MathArena · AIME 2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 90% #22 of 24HMMT February 2026 MathArena · HMMT February 2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 92.4% #12 of 24ArXivMath · June 2026 MathArena · arxiv · 06/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 46.5% #21 of 24BrokenArXiv · June 2026 MathArena · arxiv_false · 06/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 14.2% #22 of 24ArXivMath · February 2026 MathArena · arxiv · 02/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 46.1% #7 of 20ArXivMath · May 2026 MathArena · arxiv · 05/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 56.7% #13 of 19BrokenArXiv · May 2026 MathArena · arxiv_false · 05/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 10.5% #15 of 18ArXivMath · April 2026 MathArena · arxiv · 04/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 47.5% #13 of 17BrokenArXiv · April 2026 MathArena · arxiv_false · 04/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 18.4% #12 of 15BrokenArXiv · February 2026 MathArena · arxiv_false · 02/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 10.5% #11 of 15ArXivMath · March 2026 MathArena · arxiv · 03/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 61.7% #6 of 14BrokenArXiv · March 2026 MathArena · arxiv_false · 03/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 12.1% #8 of 13ArXivLean · June 2026 MathArena · arxivlean · 06/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 8.7% #8 of 9
Science 2
Humanity's Last Exam Humanity's Last Exam: Very hard expert questions across many fields, written to stump today’s models AA 41.1% #39 of 334
CritPt (physics) CritPt (physics): Research-level physics problems that need many careful reasoning steps AA 20.9% #25 of 321
Health & law 5
Vals LegalBench Vals LegalBench: Legal reasoning and legal-language understanding on LegalBench Vals 84.1% #35 of 89
Vals MedScribe Vals MedScribe: Accuracy of clinical notes produced from consultation transcripts Vals 83.5% #40 of 80
Vals MedCode Vals MedCode: Medical coding accuracy on patient encounters Vals 40.8% #49 of 78
Vals Legal Research Bench Vals Legal Research Bench: Grounded legal research; a task passes only if all criteria pass Vals 31.3% #39 of 69
MLCR-AA MLCR-AA: Models synthesize long medical records; the headline credits concise answers judged both accurate and complete AA 7.2% #45 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 78.3% #61 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 10.4% #58 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 89.5% #41 of 312+1 versions & slices Epoch GPQA Diamond · source setting 2: Models answer graduate-level science multiple-choice questions Epoch 91.9% #19 of 133
OTIS Mock AIME 20242025 OTIS Mock AIME 2024 2025: Models solve the stated OTIS mock AIME mathematics problems Epoch 86.4% #61 of 130
No benchmark matches
CheaperGPT-6.1 Solmax+16%-51%$0.72Remove unsupported parameters+5
OpenDeepSeek V4 Pro 0813max+14%-54%$0.67Memory (4-bit): 452 GB → 990 GB+5
Muse Spark 1.3xhigh+15%-7%$1.37Only auto tool_choice is supported+5
Claude Haiku 5.5high+13%-95%$0.079Remove sampling parameters+5
Kimi K2.6unstatedOpen+11%-20%$0.95 / $4Context: 1M → 256K+1