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 22.2 #103 of 337
Knowledge 5
AA OmniscienceAccuracy AA Omniscience · Accuracy: Measures correct answers on the AA Omniscience factual knowledge test AA 29.5% #81 of 321+1 versions & slices Hallucination Rate AA Omniscience · Hallucination Rate: Measures how often attempted answers are incorrect on the AA Omniscience factual knowledge test AA 34.4% #48 of 321
AA Omniscience Index AA Omniscience Index: Scores factual knowledge while penalizing incorrect answers to encourage admitting uncertainty AA 5.2 #51 of 321
SimpleQA Verifiedv1 SimpleQA Verified v1: Accuracy on short factual questions with verified answers, answered without web access 33.1% #54 of 83
Mystery Game Puzzles Mystery Game Puzzles: Models choose the best move in puzzle positions from an undisclosed game Epoch 19% #38 of 64
Reasoning 5
ARC-AGI-1public evaluation ARC-AGI-1 · public-eval: Models infer transformations from examples and solve unseen grid puzzles; the evaluation split is explicit ARC 66.4% #42 of 61+1 versions & slices semi-private ARC-AGI-1 · semi-private: Models infer transformations from examples and solve unseen grid puzzles; the evaluation split is explicit ARC 53.5% #49 of 64
ARC-AGI-2public evaluation ARC-AGI-2 · public-eval: Models infer transformations from examples and solve unseen grid puzzles; the evaluation split is explicit ARC 7.9% #43 of 63+1 versions & slices semi-private ARC-AGI-2 · semi-private: Models infer transformations from examples and solve unseen grid puzzles; the evaluation split is explicit ARC 10.3% #45 of 66
Chess Puzzles Chess Puzzles: Models choose the best next move from a novel chess position Epoch 16% #56 of 68
Math 2
FrontierMath Tier 4 (v2) FrontierMath Tier 4 (v2): Models solve expert-written advanced mathematics problems on the named tier and edition Epoch 0% #53 of 54
FrontierMath Tiers 1–3 (v2) FrontierMath Tiers 1–3 (v2): Models solve expert-written advanced mathematics problems on the named tier and edition Epoch 26% #59 of 69
Science 4
Humanity's Last Exam Humanity's Last Exam: Very hard expert questions across many fields, written to stump today’s models AA 18.8% #128 of 337
CritPt (physics) CritPt (physics): Research-level physics problems that need many careful reasoning steps AA 0% #180 of 324
SciCode SciCode: Writing code for real scientific computing problems (physics, biology, math) AA 41.3% #90 of 140
Terminal-Bench Science0.1 Terminal-Bench Science 0.1: Agents complete expert-authored research workflows across five scientific domains in a terminal AA 0% #27 of 33
Coding 4
Terminal-Bench4.0 Terminal-Bench 4.0 · source setting 2: Agents use a terminal to complete executable coding, system administration and research tasks in the 4.0 suite 1% #54 of 132+1 versions & slices 2.1 Terminal-Bench 2.1 · source setting 2: Older, easier version of Terminal-Bench; Still widely reported AA 53.6% #65 of 156
WebDev Arena WebDev Arena: Human pairwise preferences in the stated webdev vote pool Arena 1,435 #58 of 97+1 versions & slices full cohort WebDev Arena · snapshot 2026-10-19 · native board settings: Human pairwise preferences in the stated webdev vote pool Arena 1,435 #60 of 97
Agents 5
AutomationBench-AA AutomationBench-AA: Agents orchestrate SaaS workflows through APIs; objectives receive credit only when the task has no guardrail violation AA 25% #53 of 133
AA-Briefcase1.1 · Elo AA-Briefcase 1.1 · Elo: Agents produce professional deliverables; blind pairwise comparisons produce the source Elo rating AA 650 #88 of 140
EnterpriseOps-Gym-AA EnterpriseOps-Gym-AA: Agents complete stateful enterprise workflows in eight domains; final database state determines success AA 42.3% #18 of 43
GDPval-AA (work tasks)2.1 GDPval-AA (work tasks) 2.1: Real work tasks from many professions (reports, spreadsheets, analyses), graded against expert work AA 24.2 #83 of 175
τ³-BankingAA τ³-Banking · AA: Agents retrieve banking knowledge and execute tools to resolve customer-support workflows AA 17.5% #61 of 134
Multimodal 3
MMMU-Pro (vision) MMMU-Pro (vision): College-level questions that require understanding images: charts, diagrams, photos AA 79% #26 of 127
Arena Vision Arena Vision · overall: Human pairwise preferences in the stated vision vote pool Arena 1,269 #32 of 88
Chartography Chartography: Expert chart reasoning over professional scientific, medical, financial and engineering charts Surge 10.2% #35 of 37
Writing 16
Arena Textcreative writing Arena Text · creative writing: Human pairwise preferences in the stated text vote pool Arena 1,436 #40 of 195+14 versions & slices overall Arena Text · overall: Human pairwise preferences in the stated text vote pool Arena 1,455 #46 of 196Chinese Arena Text · chinese: Human pairwise preferences in the stated text vote pool Arena 1,467 #66 of 181English Arena Text · english: Human pairwise preferences in the stated text vote pool Arena 1,438 #67 of 188French Arena Text · french: Human pairwise preferences in the stated text vote pool Arena 1,451 #55 of 149German Arena Text · german: Human pairwise preferences in the stated text vote pool Arena 1,454 #33 of 154instruction following Arena Text · instruction following: Human pairwise preferences in the stated text vote pool Arena 1,419 #65 of 188Japanese Arena Text · japanese: Human pairwise preferences in the stated text vote pool Arena 1,427 #29 of 138Korean Arena Text · korean: Human pairwise preferences in the stated text vote pool Arena 1,407 #37 of 144non-English Arena Text · non english: Human pairwise preferences in the stated text vote pool Arena 1,426 #53 of 188Polish Arena Text · polish: Human pairwise preferences in the stated text vote pool Arena 1,437 #40 of 133Russian Arena Text · russian: Human pairwise preferences in the stated text vote pool Arena 1,443 #42 of 186Spanish Arena Text · spanish: Human pairwise preferences in the stated text vote pool Arena 1,441 #52 of 155overall · full cohort Arena Text · overall · snapshot 2026-10-15 · native board settings: Human pairwise preferences in the stated text vote pool Arena 1,435 #59 of 188creative writing · full cohort Arena Text · creative writing · snapshot 2026-10-15 · native board settings: Human pairwise preferences in the stated text vote pool Arena 1,420 #45 of 187
EQ-Bench Creative Writingv3 Creative Writing v3 · Elo: Judge-rated creative writing under the v3 prompt set and pairwise ranking EQ-Bench 1,559 #46 of 91
Health & law 6
Harvey LAB-AA1.1 Harvey LAB-AA 1.1: Legal agents work from case documents; every rubric criterion must pass and material hallucinations receive no credit AA 0% #18 of 23
MLCR-AA MLCR-AA: Models synthesize long medical records; the headline credits concise answers judged both accurate and complete AA 7.2% #45 of 64
Vals LegalBench Vals LegalBench: Legal reasoning and legal-language understanding on LegalBench Vals 84.1% #35 of 89
Vals MedCode Vals MedCode: Medical coding accuracy on patient encounters Vals 43.5% #36 of 78
Vals MedScribe Vals MedScribe: Accuracy of clinical notes produced from consultation transcripts Vals 70.9% #68 of 80
Vals Legal Research Bench Vals Legal Research Bench: Grounded legal research; a task passes only if all criteria pass Vals 13.9% #58 of 69
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 76% #84 of 275
GDP.pdfAA all-pass GDP.pdf · AA all-pass: Models reason over professional PDF documents; an attempt passes only when every atomic criterion passes 13.6% #42 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 83.8% #91 of 315+1 versions & slices Epoch GPQA Diamond · source setting 2: Models answer graduate-level science multiple-choice questions Epoch 83.3% #60 of 133
OTIS Mock AIME 20242025 OTIS Mock AIME 2024 2025: Models solve the stated OTIS mock AIME mathematics problems Epoch 71.1% #74 of 130
No benchmark matches
CheaperMiMo v2.6 ProunstatedOpenwins 59%-36%$0.43 / $0.87No PDF input+4
BetterGPT-5.6 Terraxhighwins 57%+429%$0.63Prompts with >272K input tokens
OpenGLM 5.3maxwins 59%+153%$2.01No image input+5
Qwen3.7 Plusunstatedwins 56%-34%$0.32 / $1.28
Muse Spark 1.2xhighwins 56%+135%$0.97Only auto tool_choice is supported+1
Kimi K3maxOpenwins 59%+606%$2.00Sampling parameters are fixed+3