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 38 #42 of 373
Knowledge 6
AA OmniscienceAccuracy Measures correct answers on the AA Omniscience factual knowledge test AA 45.5% #35 of 339+1 versions & slices Hallucination Rate Measures how often attempted answers are incorrect on the AA Omniscience factual knowledge test AA 89% #253 of 339
AA Omniscience Index Scores factual knowledge while penalizing incorrect answers to encourage admitting uncertainty AA -3 #81 of 339
IFBench (instructions) Checks whether the model follows precise formatting and content instructions AA 66.3% #67 of 271
SimpleQA Verifiedv1 Accuracy on short factual questions with verified answers, answered without web access 43.2% #37 of 84
Mystery Game Puzzles Models choose the best move in puzzle positions from an undisclosed game Epoch 35% #18 of 65
Reasoning 6
ARC-AGI-1public evaluation Models infer transformations from examples and solve unseen grid puzzles; the evaluation split is explicit ARC 95.6% #24 of 64+1 versions & slices semi-private Models infer transformations from examples and solve unseen grid puzzles; the evaluation split is explicit ARC 94% #19 of 67
ARC-AGI-2public evaluation Models infer transformations from examples and solve unseen grid puzzles; the evaluation split is explicit ARC 82.6% #18 of 66+1 versions & slices semi-private Models infer transformations from examples and solve unseen grid puzzles; the evaluation split is explicit ARC 74.2% #19 of 69
ARC-AGI-3semi-private Measures interactive game solving through relative human action efficiency ARC 0.7% #12 of 19
Chess Puzzles Models choose the best next move from a novel chess position Epoch 47% #19 of 69
Math 2
FrontierMath Tier 4 (v2) Models solve expert-written advanced mathematics problems on the named tier and edition Epoch 70.7% #13 of 55
FrontierMath Tiers 1–3 (v2) Models solve expert-written advanced mathematics problems on the named tier and edition Epoch 86% #10 of 70
Science 4
Humanity's Last Exam Very hard expert questions across many fields, written to stump today’s models AA 41.9% #40 of 370
CritPt (physics) Research-level physics problems that need many careful reasoning steps AA 27.1% #15 of 342
SciCode Writing code for real scientific computing problems (physics, biology, math) AA 52.3% #42 of 146
Terminal-Bench Science0.1 Agents complete expert-authored research workflows across five scientific domains in a terminal AA 13.8% #15 of 46
Coding 7
Terminal-Bench4.0 Agents use a terminal to complete executable coding, system administration and research tasks in the 4.0 suite 10.1% #42 of 138+1 versions & slices 2.1 Older, easier version of Terminal-Bench; Still widely reported AA 80.1% #21 of 161
DeepSWE1.1 Agents change repository code to resolve software engineering tasks under the stated DeepSWE edition 60.2% #19 of 44
ITBench SRE IT incident tasks: diagnose and fix broken systems like a site-reliability engineer AA 51% #5 of 38
SWE-bench Pro (v2 full) Agents resolve repository issues under the network-locked v2 protocol; full and 51-task Hard results are separate Scale 92.4% #14 of 16
SWE-bench Pro (v2 hard) Agents resolve repository issues under the network-locked v2 protocol; full and 51-task Hard results are separate Scale 86.3% #8 of 16
Terminal-Bench Hard Agents solve difficult software, system-administration and data-processing tasks in a terminal AA 62.9% #2 of 258
Agents 7
AutomationBench-AA Agents orchestrate SaaS workflows through APIs; objectives receive credit only when the task has no guardrail violation AA 47.1% #42 of 139
AA-Briefcase1.1 · Elo Agents produce professional deliverables; blind pairwise comparisons produce the source Elo rating AA 1,331 #37 of 146
APEX-Agents Agents complete long-horizon professional-services tasks across realistic applications AA 38.9% #3 of 29
EnterpriseOps-Gym-AA Agents complete stateful enterprise workflows in eight domains; final database state determines success AA 38.5% #25 of 43
GDPval-AA (work tasks)2.1 Real work tasks from many professions (reports, spreadsheets, analyses), graded against expert work AA 1,456 #35 of 177
Furniture Assembly Models inspect furniture assembly photos, identify incorrect builds and locate the mistaken step Epoch 54.2% #10 of 31
τ³-BankingAA Agents retrieve banking knowledge and execute tools to resolve customer-support workflows AA 29.7% #35 of 137
Multimodal 3
MMMU-Pro (vision) College-level questions that require understanding images: charts, diagrams, photos AA 79.5% #24 of 136
Arena Vision Human pairwise preferences in the stated vision vote pool Arena 1,271 #30 of 88
Chartography Expert chart reasoning over professional scientific, medical, financial and engineering charts Surge 34% #9 of 37
Writing 19
Arena Textcreative writing · October 22, 2026 Human pairwise preferences in the stated text vote pool Arena 1,413 #52 of 197+16 versions & slices creative writing Human pairwise preferences in the stated text vote pool Arena 1,429 #46 of 195overall Human pairwise preferences in the stated text vote pool Arena 1,466 #34 of 196Chinese Human pairwise preferences in the stated text vote pool Arena 1,514 #26 of 198English Human pairwise preferences in the stated text vote pool Arena 1,449 #52 of 205French Human pairwise preferences in the stated text vote pool Arena 1,466 #38 of 164German Human pairwise preferences in the stated text vote pool Arena 1,461 #26 of 167instruction following Human pairwise preferences in the stated text vote pool Arena 1,455 #32 of 205Japanese Human pairwise preferences in the stated text vote pool Arena 1,453 #20 of 152Korean Human pairwise preferences in the stated text vote pool Arena 1,423 #31 of 156non-English Human pairwise preferences in the stated text vote pool Arena 1,441 #34 of 205Polish Human pairwise preferences in the stated text vote pool Arena 1,447 #31 of 142Russian Human pairwise preferences in the stated text vote pool Arena 1,453 #35 of 203Spanish Human pairwise preferences in the stated text vote pool Arena 1,448 #47 of 168overall · October 15, 2026 Human pairwise preferences in the stated text vote pool Arena 1,447 #40 of 188creative writing · October 15, 2026 Human pairwise preferences in the stated text vote pool Arena 1,412 #50 of 187overall · October 22, 2026 Human pairwise preferences in the stated text vote pool Arena 1,448 #38 of 198
EQ-Bench Longform Creative Writing1.11 Longform Creative Writing 1.11: Models plan, revise and write a story across eight turns, graded with a writing rubric EQ-Bench 78% #22 of 96
EQ-Bench Creative Writingv3 Creative Writing v3 · Elo: Judge-rated creative writing under the v3 prompt set and pairwise ranking EQ-Bench 1,856 #17 of 94
Health & law 5
MLCR-AA Models synthesize long medical records; the headline credits concise answers judged both accurate and complete AA 22.8% #15 of 104
Vals LegalBench Legal reasoning and legal-language understanding on LegalBench Vals 85.1% #21 of 89
Vals MedCode Medical coding accuracy on patient encounters Vals 43.4% #37 of 78
Vals MedScribe Accuracy of clinical notes produced from consultation transcripts Vals 82.9% #43 of 80
Vals Legal Research Bench Grounded legal research; a task passes only if all criteria pass Vals 41.4% #23 of 73
Documents 3
AA-LCR (long context)1.1 Questions that need reading and connecting facts across very long documents (around 100K tokens) AA 79% #59 of 338
GDP.pdfAA all-pass Models reason over professional PDF documents; an attempt passes only when every atomic criterion passes 24.6% #13 of 139
Arena Document Human pairwise preferences in the stated document vote pool Arena 1,472 #10 of 33
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 90.8% #29 of 346+1 versions & slices Epoch Models answer graduate-level science multiple-choice questions Epoch 93.3% #14 of 134
OTIS Mock AIME 20242025 Models solve the stated OTIS mock AIME mathematics problems Epoch 99.7% #11 of 131
τ²-benchAA Tests service agents that use tools while coordinating with a simulated user AA 80.4% #79 of 262
No benchmark matches
CheaperGLM 5.3 FlashunstatedOpenwins 52%-95%$0.15 / $0.50Context: 1.05M → 1M+5
BetterGemini 3.6 Flashhighwins 52%+153%*$1.60Context: 1.05M → 1M
CheaperMiMo v2.6 ProunstatedOpenwins 52%-88%$0.43 / $0.87Context: 1.05M → 1M+4
CheaperQwen 3.7 Max Previewsame-17%$2.50 / $7.50Context: not verified+1
Kimi K2.6unstatedOpensame-62%$0.95 / $4Context: 1.05M → 256K
Muse Spark 1.1unstatedsame-56%$1.25 / $4.25Context: 1.05M → 1M+2
Claude Opus 5.5highwins 59%+188%$1.82Context: 1.05M → 1M+6