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 26.4 #73 of 334
Knowledge 20
Arena Text Arena Text · overall: Human pairwise preferences in the stated text vote pool Arena 1,503 #5 of 196+12 versions & slices English Arena Text · english: Human pairwise preferences in the stated text vote pool Arena 1,512 #3 of 188instruction following Arena Text · instruction following: Human pairwise preferences in the stated text vote pool Arena 1,522 #3 of 188non-English Arena Text · non english: Human pairwise preferences in the stated text vote pool Arena 1,488 #7 of 188overall · full cohort Arena Text · overall · snapshot 2026-10-15 · native board settings: Human pairwise preferences in the stated text vote pool Arena 1,502 #5 of 188Russian Arena Text · russian: Human pairwise preferences in the stated text vote pool Arena 1,496 #9 of 186Chinese Arena Text · chinese: Human pairwise preferences in the stated text vote pool Arena 1,550 #6 of 181Spanish Arena Text · spanish: Human pairwise preferences in the stated text vote pool Arena 1,504 #5 of 155German Arena Text · german: Human pairwise preferences in the stated text vote pool Arena 1,502 #3 of 154French Arena Text · french: Human pairwise preferences in the stated text vote pool Arena 1,513 #4 of 149Korean Arena Text · korean: Human pairwise preferences in the stated text vote pool Arena 1,450 #14 of 144Japanese Arena Text · japanese: Human pairwise preferences in the stated text vote pool Arena 1,488 #9 of 138Polish Arena Text · polish: Human pairwise preferences in the stated text vote pool Arena 1,497 #5 of 133
AA Omniscience Index AA Omniscience Index: Scores factual knowledge while penalizing incorrect answers to encourage admitting uncertainty AA 2.4 #58 of 318
SimpleQA Verifiedv1 SimpleQA Verified v1: Accuracy on short factual questions with verified answers, answered without web access 47% #32 of 83
AA OmniscienceAccuracy AA Omniscience · Accuracy: Measures correct answers on the AA Omniscience factual knowledge test AA 45.8% #33 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 80.1% #163 of 318
IFBench (instructions) IFBench (instructions): Checks whether the model follows precise formatting and content instructions AA 44.6% #129 of 245
Mystery Game Puzzles Mystery Game Puzzles: Models choose the best move in puzzle positions from an undisclosed game Epoch 25% #30 of 64
EQ-Bench3 EQ-Bench 3: Judge-rated responses to social and emotionally nuanced scenarios, scored through the source pairwise ranking EQ-Bench 1,717 #4 of 50
Reasoning 5
Chess Puzzles Chess Puzzles: Models choose the best next move from a novel chess position Epoch 21% #49 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 69.2% #20 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 79% #17 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 94% #18 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 96.3% #18 of 61
Math 22
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 26.8% #32 of 54
FrontierMath FrontierMath: Models solve expert-written advanced mathematics problems on the named tier and edition Epoch 40.7% #5 of 40
MathArenaApex MathArena · apex · Apex: Answer accuracy on the named mathematics competition under the recorded effort MathArena 34.5% #8 of 34+17 versions & slices Apex Shortlist MathArena · apex · Apex Shortlist: Answer accuracy on the named mathematics competition under the recorded effort MathArena 86.7% #7 of 30AIME 2026 MathArena · AIME 2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 96.7% #6 of 24HMMT February 2026 MathArena · HMMT February 2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 96.2% #5 of 24ArXivMath · February 2026 MathArena · arxiv · 02/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 40.6% #11 of 20ArXivMath · January 2026 MathArena · arxiv · 01/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 72.8% #4 of 18Kangaroo 2025 1-2 MathArena · kangaroo · Kangaroo 2025 1-2: Answer accuracy on the named mathematics competition under the recorded effort MathArena 59.4% #17 of 17Kangaroo 2025 11-12 MathArena · kangaroo · Kangaroo 2025 11-12: Answer accuracy on the named mathematics competition under the recorded effort MathArena 87.5% #14 of 17Kangaroo 2025 3-4 MathArena · kangaroo · Kangaroo 2025 3-4: Answer accuracy on the named mathematics competition under the recorded effort MathArena 50% #16 of 17Kangaroo 2025 5-6 MathArena · kangaroo · Kangaroo 2025 5-6: Answer accuracy on the named mathematics competition under the recorded effort MathArena 58.3% #17 of 17Kangaroo 2025 7-8 MathArena · kangaroo · Kangaroo 2025 7-8: Answer accuracy on the named mathematics competition under the recorded effort MathArena 86.7% #12 of 16Kangaroo 2025 9-10 MathArena · kangaroo · Kangaroo 2025 9-10: Answer accuracy on the named mathematics competition under the recorded effort MathArena 91.7% #13 of 16BrokenArXiv · February 2026 MathArena · arxiv_false · 02/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 3.2% #14 of 15ArXivMath · March 2026 MathArena · arxiv · 03/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 62.5% #5 of 14ArXivMath · December 2025 MathArena · arxiv · 12/2025: Answer accuracy on the named mathematics competition under the recorded effort MathArena 57.4% #3 of 13BrokenArXiv · March 2026 MathArena · arxiv_false · 03/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 5.8% #12 of 13Project Euler MathArena · euler · Project Euler: Answer accuracy on the named mathematics competition under the recorded effort MathArena 87.7% #3 of 11USAMO 2026 MathArena · usamo · USAMO 2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 47% #6 of 8
FrontierMath Tier4 FrontierMath Tier 4: Models solve expert-written advanced mathematics problems on the named tier and edition Epoch 22.9% #4 of 33
Science 2
Humanity's Last Exam Humanity's Last Exam: Very hard expert questions across many fields, written to stump today’s models AA 19.1% #127 of 334
CritPt (physics) CritPt (physics): Research-level physics problems that need many careful reasoning steps AA 2.8% #96 of 321
Health & law 3
Vals LegalBench Vals LegalBench: Legal reasoning and legal-language understanding on LegalBench Vals 85.3% #18 of 89
Vals MedScribe Vals MedScribe: Accuracy of clinical notes produced from consultation transcripts Vals 86.1% #22 of 80
Vals MedCode Vals MedCode: Medical coding accuracy on patient encounters Vals 49.1% #22 of 78
Documents 1
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 67% #135 of 273
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% #90 of 312+1 versions & slices Epoch GPQA Diamond · source setting 2: Models answer graduate-level science multiple-choice questions Epoch 88.4% #41 of 133
OTIS Mock AIME 20242025 OTIS Mock AIME 2024 2025: Models solve the stated OTIS mock AIME mathematics problems Epoch 91.1% #43 of 130
No benchmark matches
CheaperGPT-6.1 Solmax+36%-60%$0.72Remove unsupported parameters+5
OpenGLM 5.3 Flashmax-5%-98%$0.28Defaults to max · Self-hosted+4
CheaperGemini 4 Argonhigh+32%-60%*$1.99Synchronous output stops at 65,536+2
DeepSeek V4 Pro 0813maxOpen-11%-80%$0.67No image input+5
Kimi K3maxOpen-13%-40%$2.00Sampling parameters are fixed+3
Qwen3.8 27BxhighOpen-39%-90%$1.01Context: 1M → 262K+5TInkling SmallxhighOpen-42%-94%$0.45 / $1.20Context: 1M → 256K+1