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 49.6 #10 of 334
Knowledge 20 Leads on 1
Arena Text Arena Text · overall: Human pairwise preferences in the stated text vote pool Arena 1,504 #4 of 196+12 versions & slices English Arena Text · english: Human pairwise preferences in the stated text vote pool Arena 1,499 #9 of 188instruction following Arena Text · instruction following: Human pairwise preferences in the stated text vote pool Arena 1,502 #6 of 188non-English Arena Text · non english: Human pairwise preferences in the stated text vote pool Arena 1,481 #9 of 188overall · full cohort Arena Text · overall · snapshot 2026-10-15 · native board settings: Human pairwise preferences in the stated text vote pool Arena 1,491 #8 of 188Russian Arena Text · russian: Human pairwise preferences in the stated text vote pool Arena 1,503 #7 of 186Chinese Arena Text · chinese: Human pairwise preferences in the stated text vote pool Arena 1,542 #7 of 181Spanish Arena Text · spanish: Human pairwise preferences in the stated text vote pool Arena 1,496 #6 of 155German Arena Text · german: Human pairwise preferences in the stated text vote pool Arena 1,487 #13 of 154French Arena Text · french: Human pairwise preferences in the stated text vote pool Arena 1,504 #6 of 149Korean Arena Text · korean: Human pairwise preferences in the stated text vote pool Arena 1,491 #4 of 144Japanese Arena Text · japanese: Human pairwise preferences in the stated text vote pool Arena 1,506 #3 of 138Polish Arena Text · polish: Human pairwise preferences in the stated text vote pool Arena 1,493 #8 of 133
AA Omniscience Index AA Omniscience Index: Scores factual knowledge while penalizing incorrect answers to encourage admitting uncertainty AA 43.3 #4 of 318
SimpleQA Verifiedv1 SimpleQA Verified v1: Accuracy on short factual questions with verified answers, answered without web access 70.7% #8 of 83
AA OmniscienceAccuracy AA Omniscience · Accuracy: Measures correct answers on the AA Omniscience factual knowledge test AA 65.4% #3 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 63.6% #115 of 318
IFBench (instructions) IFBench (instructions): Checks whether the model follows precise formatting and content instructions AA 63.5% #75 of 245
Mystery Game Puzzles Mystery Game Puzzles: Models choose the best move in puzzle positions from an undisclosed game Epoch 52% #11 of 64
EQ-Bench3 EQ-Bench 3: Judge-rated responses to social and emotionally nuanced scenarios, scored through the source pairwise ranking EQ-Bench 2,050 #1 of 50
Reasoning 5 Leads on 1
Chess Puzzles Chess Puzzles: Models choose the best next move from a novel chess position Epoch 47% #19 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 88.3% #10 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 93.3% #8 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 98.5% #1 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 97.9% #12 of 61
Math 10
FrontierMath Tiers 1–3 (v2) FrontierMath Tiers 1–3 (v2): Models solve expert-written advanced mathematics problems on the named tier and edition Epoch 87% #9 of 69
FrontierMath Tier 4 (v2) FrontierMath Tier 4 (v2): Models solve expert-written advanced mathematics problems on the named tier and edition Epoch 90.2% #4 of 54
MathArenaArXivMath · June 2026 MathArena · arxiv · 06/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 85.4% #6 of 24+6 versions & slices BrokenArXiv · June 2026 MathArena · arxiv_false · 06/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 47.8% #13 of 24ArXivMath · May 2026 MathArena · arxiv · 05/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 87.5% #4 of 19BrokenArXiv · May 2026 MathArena · arxiv_false · 05/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 44.5% #7 of 18ArXivMath · April 2026 MathArena · arxiv · 04/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 72.5% #3 of 17BrokenArXiv · April 2026 MathArena · arxiv_false · 04/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 54.1% #4 of 15ArXivLean · June 2026 MathArena · arxivlean · 06/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 15.2% #6 of 9
FrontierMath Erdos FrontierMath Erdos: Models solve expert-written advanced mathematics problems on the named tier and edition Epoch 0% #6 of 13
Science 2
Humanity's Last Exam Humanity's Last Exam: Very hard expert questions across many fields, written to stump today’s models AA 55.5% #4 of 334
CritPt (physics) CritPt (physics): Research-level physics problems that need many careful reasoning steps AA 28.6% #13 of 321
Health & law 5 Leads on 1
Vals LegalBench Vals LegalBench: Legal reasoning and legal-language understanding on LegalBench Vals 88.6% #1 of 89
Vals MedScribe Vals MedScribe: Accuracy of clinical notes produced from consultation transcripts Vals 88.5% #11 of 80
Vals MedCode Vals MedCode: Medical coding accuracy on patient encounters Vals 56.1% #4 of 78
Vals Legal Research Bench Vals Legal Research Bench: Grounded legal research; a task passes only if all criteria pass Vals 49.5% #6 of 69
MLCR-AA MLCR-AA: Models synthesize long medical records; the headline credits concise answers judged both accurate and complete AA 64.4% #4 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 82.3% #26 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 24% #12 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 92.6% #17 of 312+1 versions & slices Epoch GPQA Diamond · source setting 2: Models answer graduate-level science multiple-choice questions Epoch 85.9% #53 of 133
OTIS Mock AIME 20242025 OTIS Mock AIME 2024 2025: Models solve the stated OTIS mock AIME mathematics problems Epoch 100% #1 of 130
No benchmark matches
CheaperGemini 3.1 Pro Previewunstated+10%-78%$2 / $12Cannot use both thinking controls
BetterGPT-6.1 Solmax+5%-80%$0.72Remove unsupported parameters+5
OpenDeepSeek V4 Pro 0813max-25%-90%$0.67No image input+5
Kimi K3maxOpen-28%-70%$2.00Sampling parameters are fixed+3
GLM 5.3maxOpen-42%-89%$2.01No image input+4
Qwen3 235B A22B Thinking 2507unstatedOpen-43%-96%$0.23 / $2.30Context: 1M → 262K+2TInklingxhighOpen-43%-91%$0.95 / $4.05Context: 1M → 256K+1