Benchmark By Score Rank
Overall 1
AA Intelligence Index4.3.2 Artificial Analysis combines tests of knowledge, reasoning, coding and tool use into one score AA 27.9 #65 of 334
Knowledge 18
Arena Text Human pairwise preferences in the stated text vote pool Arena 1,457 #42 of 196+12 versions & slices English Human pairwise preferences in the stated text vote pool Arena 1,458 #38 of 188instruction following Human pairwise preferences in the stated text vote pool Arena 1,428 #55 of 188non-English Human pairwise preferences in the stated text vote pool Arena 1,430 #47 of 188overall · full cohort Human pairwise preferences in the stated text vote pool Arena 1,446 #42 of 188Russian Human pairwise preferences in the stated text vote pool Arena 1,436 #46 of 186Chinese Human pairwise preferences in the stated text vote pool Arena 1,511 #29 of 181Spanish Human pairwise preferences in the stated text vote pool Arena 1,454 #37 of 155German Human pairwise preferences in the stated text vote pool Arena 1,445 #42 of 154French Human pairwise preferences in the stated text vote pool Arena 1,455 #49 of 149Korean Human pairwise preferences in the stated text vote pool Arena 1,422 #30 of 144Japanese Human pairwise preferences in the stated text vote pool Arena 1,416 #35 of 138Polish Human pairwise preferences in the stated text vote pool Arena 1,435 #42 of 133
AA Omniscience Index Scores factual knowledge while penalizing incorrect answers to encourage admitting uncertainty AA 0.3 #69 of 318
AA OmniscienceAccuracy Measures correct answers on the AA Omniscience factual knowledge test AA 26.3% #101 of 318+1 versions & slices Hallucination Rate Measures how often attempted answers are incorrect on the AA Omniscience factual knowledge test AA 35.3% #50 of 318
IFBench (instructions) Checks whether the model follows precise formatting and content instructions AA 72.3% #38 of 245
EQ-Bench3 Judge-rated responses to social and emotionally nuanced scenarios, scored through the source pairwise ranking EQ-Bench 1,526 #19 of 50
Reasoning 4
ARC-AGI-2semi-private Models infer transformations from examples and solve unseen grid puzzles; the evaluation split is explicit ARC 4.9% #49 of 66+1 versions & slices public evaluation Models infer transformations from examples and solve unseen grid puzzles; the evaluation split is explicit ARC 5.4% #45 of 63
ARC-AGI-1semi-private Models infer transformations from examples and solve unseen grid puzzles; the evaluation split is explicit ARC 44.7% #52 of 64+1 versions & slices public evaluation Models infer transformations from examples and solve unseen grid puzzles; the evaluation split is explicit ARC 58.6% #49 of 61
Math 19
FrontierMath Models solve expert-written advanced mathematics problems on the named tier and edition Epoch 16.4% #23 of 40
MathArenaApex Answer accuracy on the named mathematics competition under the recorded effort MathArena 10.9% #18 of 34+16 versions & slices AIME 2025 Answer accuracy on the named mathematics competition under the recorded effort MathArena 96.7% #3 of 30Apex Shortlist Answer accuracy on the named mathematics competition under the recorded effort MathArena 68.6% #15 of 30HMMT February 2025 Answer accuracy on the named mathematics competition under the recorded effort MathArena 97.5% #2 of 30AIME 2026 Answer accuracy on the named mathematics competition under the recorded effort MathArena 96.7% #6 of 24HMMT February 2026 Answer accuracy on the named mathematics competition under the recorded effort MathArena 86.4% #19 of 24BRUMO 2025 Answer accuracy on the named mathematics competition under the recorded effort MathArena 99.2% #2 of 24SMT 2025 Answer accuracy on the named mathematics competition under the recorded effort MathArena 91% #4 of 24CMIMC 2025 Answer accuracy on the named mathematics competition under the recorded effort MathArena 93.1% #4 of 22ArXivMath · February 2026 Answer accuracy on the named mathematics competition under the recorded effort MathArena 41.4% #10 of 20ArXivMath · January 2026 Answer accuracy on the named mathematics competition under the recorded effort MathArena 54.4% #12 of 18BrokenArXiv · February 2026 Answer accuracy on the named mathematics competition under the recorded effort MathArena 11.7% #9 of 15ArXivMath · March 2026 Answer accuracy on the named mathematics competition under the recorded effort MathArena 45.8% #12 of 14HMMT November 2025 Answer accuracy on the named mathematics competition under the recorded effort MathArena 94.2% #2 of 14ArXivMath · December 2025 Answer accuracy on the named mathematics competition under the recorded effort MathArena 38.2% #10 of 13BrokenArXiv · March 2026 Answer accuracy on the named mathematics competition under the recorded effort MathArena 12.1% #8 of 13USAMO 2026 Answer accuracy on the named mathematics competition under the recorded effort MathArena 35.1% #8 of 8
FrontierMath Tier4 Models solve expert-written advanced mathematics problems on the named tier and edition Epoch 2.1% #22 of 33
Science 2
Humanity's Last Exam Very hard expert questions across many fields, written to stump today’s models AA 29.3% #84 of 334
CritPt (physics) Research-level physics problems that need many careful reasoning steps AA 2% #105 of 321
Health & law 1
Vals LegalBench Legal reasoning and legal-language understanding on LegalBench Vals 84.1% #37 of 89
Documents 1
AA-LCR (long context)1.1 Questions that need reading and connecting facts across very long documents (around 100K tokens) AA 75.7% #86 of 273
Legacy · saturated or no longer reported 3
GPQA Diamond Graduate-level biology, chemistry and physics questions that can’t be solved by a quick web search 82% #106 of 312+1 versions & slices Epoch Models answer graduate-level science multiple-choice questions Epoch 87.8% #47 of 133
OTIS Mock AIME 20242025 Models solve the stated OTIS mock AIME mathematics problems Epoch 80% #71 of 130
No benchmark matches