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 30.9 #53 of 334
Knowledge 20
Arena Text Arena Text · overall: Human pairwise preferences in the stated text vote pool Arena 1,501 #7 of 196+12 versions & slices English Arena Text · english: Human pairwise preferences in the stated text vote pool Arena 1,496 #10 of 188instruction following Arena Text · instruction following: Human pairwise preferences in the stated text vote pool Arena 1,498 #7 of 188non-English Arena Text · non english: Human pairwise preferences in the stated text vote pool Arena 1,480 #10 of 188overall · full cohort Arena Text · overall · snapshot 2026-10-15 · native board settings: Human pairwise preferences in the stated text vote pool Arena 1,490 #11 of 188Russian Arena Text · russian: Human pairwise preferences in the stated text vote pool Arena 1,494 #10 of 186Chinese Arena Text · chinese: Human pairwise preferences in the stated text vote pool Arena 1,532 #11 of 181Spanish Arena Text · spanish: Human pairwise preferences in the stated text vote pool Arena 1,495 #8 of 155German Arena Text · german: Human pairwise preferences in the stated text vote pool Arena 1,495 #8 of 154French Arena Text · french: Human pairwise preferences in the stated text vote pool Arena 1,503 #7 of 149Korean Arena Text · korean: Human pairwise preferences in the stated text vote pool Arena 1,451 #14 of 144Japanese Arena Text · japanese: Human pairwise preferences in the stated text vote pool Arena 1,474 #13 of 138Polish Arena Text · polish: Human pairwise preferences in the stated text vote pool Arena 1,480 #10 of 133
AA Omniscience Index AA Omniscience Index: Scores factual knowledge while penalizing incorrect answers to encourage admitting uncertainty AA 14.8 #31 of 318
SimpleQA Verifiedv1 SimpleQA Verified v1: Accuracy on short factual questions with verified answers, answered without web access 51.7% #26 of 83
AA OmniscienceAccuracy AA Omniscience · Accuracy: Measures correct answers on the AA Omniscience factual knowledge test AA 44.7% #34 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 54.1% #96 of 318
IFBench (instructions) IFBench (instructions): Checks whether the model follows precise formatting and content instructions AA 43.6% #136 of 245
Mystery Game Puzzles Mystery Game Puzzles: Models choose the best move in puzzle positions from an undisclosed game Epoch 28% #27 of 64
EQ-Bench3 EQ-Bench 3: Judge-rated responses to social and emotionally nuanced scenarios, scored through the source pairwise ranking EQ-Bench 1,884 #3 of 50
Reasoning 1
Chess Puzzles Chess Puzzles: Models choose the best next move from a novel chess position Epoch 41% #28 of 68
Math 16
FrontierMath Tiers 1–3 (v2) FrontierMath Tiers 1–3 (v2): Models solve expert-written advanced mathematics problems on the named tier and edition Epoch 70.2% #23 of 69
FrontierMath Tier 4 (v2) FrontierMath Tier 4 (v2): Models solve expert-written advanced mathematics problems on the named tier and edition Epoch 31.7% #25 of 54
FrontierMath FrontierMath: Models solve expert-written advanced mathematics problems on the named tier and edition Epoch 43.8% #4 of 40
MathArenaApex MathArena · apex · Apex: Answer accuracy on the named mathematics competition under the recorded effort MathArena 40.6% #7 of 34+11 versions & slices Apex Shortlist MathArena · apex · Apex Shortlist: Answer accuracy on the named mathematics competition under the recorded effort MathArena 63.8% #18 of 30AIME 2026 MathArena · AIME 2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 95.8% #12 of 24HMMT February 2026 MathArena · HMMT February 2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 93.9% #9 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 52.2% #14 of 18ArXivMath · April 2026 MathArena · arxiv · 04/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 57.5% #9 of 17BrokenArXiv · April 2026 MathArena · arxiv_false · 04/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 4.1% #15 of 15BrokenArXiv · February 2026 MathArena · arxiv_false · 02/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 4% #13 of 15ArXivMath · March 2026 MathArena · arxiv · 03/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 50.8% #10 of 14BrokenArXiv · March 2026 MathArena · arxiv_false · 03/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 5.8% #12 of 13ArXivLean · March 2026 MathArena · arxivlean · 03/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 14.6% #3 of 5
FrontierMath Tier4 FrontierMath Tier 4: Models solve expert-written advanced mathematics problems on the named tier and edition Epoch 22.9% #3 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 33.3% #71 of 334
CritPt (physics) CritPt (physics): Research-level physics problems that need many careful reasoning steps AA 5.1% #78 of 321
Health & law 5
Vals LegalBench Vals LegalBench: Legal reasoning and legal-language understanding on LegalBench Vals 85.3% #20 of 89
Vals MedScribe Vals MedScribe: Accuracy of clinical notes produced from consultation transcripts Vals 83% #42 of 80
Vals MedCode Vals MedCode: Medical coding accuracy on patient encounters Vals 54.9% #6 of 78
Vals Legal Research Bench Vals Legal Research Bench: Grounded legal research; a task passes only if all criteria pass Vals 38.5% #28 of 69
MLCR-AA MLCR-AA: Models synthesize long medical records; the headline credits concise answers judged both accurate and complete AA 28.9% #17 of 64
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 75.7% #85 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 88.5% #48 of 312+1 versions & slices Epoch GPQA Diamond · source setting 2: Models answer graduate-level science multiple-choice questions Epoch 90.2% #32 of 133
OTIS Mock AIME 20242025 OTIS Mock AIME 2024 2025: Models solve the stated OTIS mock AIME mathematics problems Epoch 97.8% #25 of 130
No benchmark matches
OpenGLM 5.3 Flashunstated+7%-98%$0.15 / $0.50Defaults to max · Self-hosted+4
CheaperMuse Spark 1.2unstated+9%-80%$1.25 / $4.25Only auto tool_choice is supported+1
Grok 4.7unstated+8%-70%$2 / $6Context: 1M → 500K+5
MiMo v2.6 ProunstatedOpen+6%-95%$0.43 / $0.87Pass back reasoning_content+3
Kimi K3unstatedOpen+6%-40%$3 / $15Sampling parameters are fixed+3
MiniMax M3unstatedOpen+5%-95%$0.30 / $1.20Context: 1M → 524K+2