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 26.3 #74 of 334
Knowledge 19
Arena Text Human pairwise preferences in the stated text vote pool Arena 1,473 #30 of 196+12 versions & slices English Human pairwise preferences in the stated text vote pool Arena 1,467 #30 of 188instruction following Human pairwise preferences in the stated text vote pool Arena 1,437 #47 of 188non-English Human pairwise preferences in the stated text vote pool Arena 1,458 #23 of 188overall · full cohort Human pairwise preferences in the stated text vote pool Arena 1,466 #26 of 188Russian Human pairwise preferences in the stated text vote pool Arena 1,480 #19 of 186Chinese Human pairwise preferences in the stated text vote pool Arena 1,511 #28 of 181Spanish Human pairwise preferences in the stated text vote pool Arena 1,469 #20 of 155German Human pairwise preferences in the stated text vote pool Arena 1,497 #7 of 154French Human pairwise preferences in the stated text vote pool Arena 1,478 #25 of 149Korean Human pairwise preferences in the stated text vote pool Arena 1,443 #16 of 144Japanese Human pairwise preferences in the stated text vote pool Arena 1,489 #7 of 138Polish Human pairwise preferences in the stated text vote pool Arena 1,494 #7 of 133
AA Omniscience Index Scores factual knowledge while penalizing incorrect answers to encourage admitting uncertainty AA 10.1 #42 of 318
SimpleQA Verifiedv1 Accuracy on short factual questions with verified answers, answered without web access 66.8% #10 of 83
AA OmniscienceAccuracy Measures correct answers on the AA Omniscience factual knowledge test AA 53.4% #14 of 318+1 versions & slices Hallucination Rate Measures how often attempted answers are incorrect on the AA Omniscience factual knowledge test AA 93% #284 of 318
IFBench (instructions) Checks whether the model follows precise formatting and content instructions AA 78% #9 of 245
Mystery Game Puzzles Models choose the best move in puzzle positions from an undisclosed game Epoch 26% #28 of 64
Reasoning 5
Chess Puzzles Models choose the best next move from a novel chess position Epoch 39% #30 of 68
ARC-AGI-2semi-private Models infer transformations from examples and solve unseen grid puzzles; the evaluation split is explicit ARC 33.6% #37 of 66+1 versions & slices public evaluation Models infer transformations from examples and solve unseen grid puzzles; the evaluation split is explicit ARC 34% #34 of 63
ARC-AGI-1semi-private Models infer transformations from examples and solve unseen grid puzzles; the evaluation split is explicit ARC 84.7% #34 of 64+1 versions & slices public evaluation Models infer transformations from examples and solve unseen grid puzzles; the evaluation split is explicit ARC 88.3% #33 of 61
Math 23
FrontierMath Tiers 1–3 (v2) Models solve expert-written advanced mathematics problems on the named tier and edition Epoch 51.2% #45 of 69
FrontierMath Tier 4 (v2) Models solve expert-written advanced mathematics problems on the named tier and edition Epoch 17.1% #42 of 54
FrontierMath Models solve expert-written advanced mathematics problems on the named tier and edition Epoch 35.6% #10 of 40
MathArenaApex Answer accuracy on the named mathematics competition under the recorded effort MathArena 15.6% #14 of 34+18 versions & slices AIME 2025 Answer accuracy on the named mathematics competition under the recorded effort MathArena 97.5% #2 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 89.4% #13 of 24BRUMO 2025 Answer accuracy on the named mathematics competition under the recorded effort MathArena 100% #1 of 24SMT 2025 Answer accuracy on the named mathematics competition under the recorded effort MathArena 92.9% #2 of 24CMIMC 2025 Answer accuracy on the named mathematics competition under the recorded effort MathArena 90% #7 of 22ArXivMath · January 2026 Answer accuracy on the named mathematics competition under the recorded effort MathArena 58.2% #10 of 18Kangaroo 2025 1-2 Answer accuracy on the named mathematics competition under the recorded effort MathArena 87.5% #4 of 17Kangaroo 2025 11-12 Answer accuracy on the named mathematics competition under the recorded effort MathArena 95.8% #7 of 17Kangaroo 2025 3-4 Answer accuracy on the named mathematics competition under the recorded effort MathArena 66.7% #8 of 17Kangaroo 2025 5-6 Answer accuracy on the named mathematics competition under the recorded effort MathArena 77.5% #7 of 17Kangaroo 2025 7-8 Answer accuracy on the named mathematics competition under the recorded effort MathArena 89.2% #8 of 16Kangaroo 2025 9-10 Answer accuracy on the named mathematics competition under the recorded effort MathArena 98.3% #7 of 16HMMT November 2025 Answer accuracy on the named mathematics competition under the recorded effort MathArena 93.3% #3 of 14ArXivMath · December 2025 Answer accuracy on the named mathematics competition under the recorded effort MathArena 43.4% #5 of 13Project Euler Answer accuracy on the named mathematics competition under the recorded effort MathArena 61.7% #6 of 11
FrontierMath Tier4 Models solve expert-written advanced mathematics problems on the named tier and edition Epoch 4.2% #16 of 33
Science 2
Humanity's Last Exam Very hard expert questions across many fields, written to stump today’s models AA 36.6% #58 of 334
CritPt (physics) Research-level physics problems that need many careful reasoning steps AA 8.6% #66 of 321
Health & law 5
Vals LegalBench Legal reasoning and legal-language understanding on LegalBench Vals 86.9% #8 of 89
Vals MedScribe Accuracy of clinical notes produced from consultation transcripts Vals 69.9% #70 of 80
Vals MedCode Medical coding accuracy on patient encounters Vals 55.9% #5 of 78
Vals Legal Research Bench Grounded legal research; a task passes only if all criteria pass Vals 18.3% #49 of 69
MLCR-AA Models synthesize long medical records; the headline credits concise answers judged both accurate and complete AA 11.1% #39 of 64
Documents 1
AA-LCR (long context)1.1 Questions that need reading and connecting facts across very long documents (around 100K tokens) AA 78% #68 of 273
Legacy · saturated or no longer reported 4
GPQA Diamond Graduate-level biology, chemistry and physics questions that can’t be solved by a quick web search 89.8% #36 of 312+1 versions & slices Epoch Models answer graduate-level science multiple-choice questions Epoch 89.4% #37 of 133
AIME2025 · AA archived AA evaluates the 30 integer-answer problems from the 2025 AIME mathematics competition AA 97% #2 of 139
OTIS Mock AIME 20242025 Models solve the stated OTIS mock AIME mathematics problems Epoch 95.6% #32 of 130
No benchmark matches
CheaperMiniMax M3.1 Flashthinking+5%-77%$0.22No PDF input+1
BetterGPT-6.1 Sollow+10%+256%$0.13Remove unsupported parameters+5
OpenDeepSeek V4 Pro 0813max-8%+76%$0.67No image input+6
Claude Opus 5.5low+19%+611%$0.55No forced tool use+5
Kimi K3maxOpen-11%+433%$2.00Sampling parameters are fixed+3
Step 5 PreviewthinkingOpen-22%+27%$1.03No PDF input+4