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 25 #84 of 337
Knowledge 4
AA OmniscienceAccuracy Measures correct answers on the AA Omniscience factual knowledge test AA 41.6% #42 of 321+1 versions & slices Hallucination Rate Measures how often attempted answers are incorrect on the AA Omniscience factual knowledge test AA 67.7% #127 of 321
AA Omniscience Index Scores factual knowledge while penalizing incorrect answers to encourage admitting uncertainty AA 2 #60 of 321
SimpleQA Verifiedv1 Accuracy on short factual questions with verified answers, answered without web access 40.3% #42 of 83
Reasoning 5
ARC-AGI-1public evaluation Models infer transformations from examples and solve unseen grid puzzles; the evaluation split is explicit ARC 90.6% #30 of 61+1 versions & slices semi-private Models infer transformations from examples and solve unseen grid puzzles; the evaluation split is explicit ARC 79.5% #36 of 64
ARC-AGI-2public evaluation Models infer transformations from examples and solve unseen grid puzzles; the evaluation split is explicit ARC 37.8% #33 of 63+1 versions & slices semi-private Models infer transformations from examples and solve unseen grid puzzles; the evaluation split is explicit ARC 36.5% #36 of 66
Chess Puzzles Models choose the best next move from a novel chess position Epoch 21% #49 of 68
Math 3
AA Analyst Agent Data-analyst tasks: the model explores data with tools and reports findings AA 23.8% #29 of 43
FrontierMath Tier 4 (v2) Models solve expert-written advanced mathematics problems on the named tier and edition Epoch 4.9% #51 of 54
FrontierMath Tiers 1–3 (v2) Models solve expert-written advanced mathematics problems on the named tier and edition Epoch 33.3% #55 of 69
Science 4
Humanity's Last Exam Very hard expert questions across many fields, written to stump today’s models AA 31.9% #74 of 337
CritPt (physics) Research-level physics problems that need many careful reasoning steps AA 5.4% #77 of 324
SciCode Writing code for real scientific computing problems (physics, biology, math) AA 47% #66 of 140
Terminal-Bench Science0.1 Agents complete expert-authored research workflows across five scientific domains in a terminal AA 0% #27 of 33
Coding 8
Terminal-Bench4.0 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 Older, easier version of Terminal-Bench; Still widely reported AA 55.1% #62 of 156
DeepSWE1.1 Agents change repository code to resolve software engineering tasks under the stated DeepSWE edition 5% #38 of 44
FrontierCode1.1 Agents implement changes in real repositories, graded against maintainer-defined requirements AA 15.8% #26 of 28
WebDev Arena Human pairwise preferences in the stated webdev vote pool Arena 1,414 #64 of 97+1 versions & slices full cohort Human pairwise preferences in the stated webdev vote pool Arena 1,414 #64 of 97
SWE-bench Pro (v2 full) Agents resolve repository issues under the network-locked v2 protocol; full and 51-task Hard results are separate Scale 89.9% #15 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 56.9% #14 of 16
Agents 6
AutomationBench-AA Agents orchestrate SaaS workflows through APIs; objectives receive credit only when the task has no guardrail violation AA 5% #84 of 133
AA-Briefcase1.1 · Elo Agents produce professional deliverables; blind pairwise comparisons produce the source Elo rating AA 832 #73 of 140
EnterpriseOps-Gym-AA Agents complete stateful enterprise workflows in eight domains; final database state determines success AA 38% #26 of 43
GDPval-AA (work tasks)2.1 Real work tasks from many professions (reports, spreadsheets, analyses), graded against expert work AA 28.8 #69 of 175
τ³-benchbanking · 1.0.1 τ-bench official · 3-banking-1.0.1: Customer-service agents converse with simulated users, retrieve domain knowledge and change state through tools Sierra 25% #17 of 21
τ³-BankingAA Agents retrieve banking knowledge and execute tools to resolve customer-support workflows AA 29.1% #36 of 134
Multimodal 1
MMMU-Pro (vision) College-level questions that require understanding images: charts, diagrams, photos AA 73.5% #60 of 127
Writing 17
Arena Textcreative writing Human pairwise preferences in the stated text vote pool Arena 1,381 #83 of 195+14 versions & slices overall Human pairwise preferences in the stated text vote pool Arena 1,441 #63 of 196Chinese Human pairwise preferences in the stated text vote pool Arena 1,492 #48 of 181English Human pairwise preferences in the stated text vote pool Arena 1,442 #60 of 188French Human pairwise preferences in the stated text vote pool Arena 1,454 #53 of 149German Human pairwise preferences in the stated text vote pool Arena 1,447 #40 of 154instruction following Human pairwise preferences in the stated text vote pool Arena 1,425 #57 of 188Japanese Human pairwise preferences in the stated text vote pool Arena 1,426 #30 of 138Korean Human pairwise preferences in the stated text vote pool Arena 1,403 #39 of 144non-English Human pairwise preferences in the stated text vote pool Arena 1,433 #41 of 188Polish Human pairwise preferences in the stated text vote pool Arena 1,453 #25 of 133Russian Human pairwise preferences in the stated text vote pool Arena 1,429 #53 of 186Spanish Human pairwise preferences in the stated text vote pool Arena 1,447 #45 of 155overall · full cohort Human pairwise preferences in the stated text vote pool Arena 1,441 #49 of 188creative writing · full cohort Human pairwise preferences in the stated text vote pool Arena 1,387 #70 of 187
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 72.5% #34 of 95
EQ-Bench Creative Writingv3 Creative Writing v3 · Elo: Judge-rated creative writing under the v3 prompt set and pairwise ranking EQ-Bench 1,611 #40 of 91
Health & law 6
Harvey LAB-AA1.1 Legal agents work from case documents; every rubric criterion must pass and material hallucinations receive no credit AA 0% #18 of 23
MLCR-AA Models synthesize long medical records; the headline credits concise answers judged both accurate and complete AA 12.2% #37 of 64
Vals LegalBench Legal reasoning and legal-language understanding on LegalBench Vals 83% #49 of 89
Vals MedCode Medical coding accuracy on patient encounters Vals 41.2% #46 of 78
Vals MedScribe Accuracy of clinical notes produced from consultation transcripts Vals 85.4% #25 of 80
Vals Legal Research Bench Grounded legal research; a task passes only if all criteria pass Vals 28.4% #43 of 69
Documents 2
AA-LCR (long context)1.1 Questions that need reading and connecting facts across very long documents (around 100K tokens) AA 77.3% #76 of 275
GDP.pdfAA all-pass Models reason over professional PDF documents; an attempt passes only when every atomic criterion passes 12.8% #46 of 133
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 87.2% #57 of 315+1 versions & slices Epoch Models answer graduate-level science multiple-choice questions Epoch 88.3% #43 of 133
OTIS Mock AIME 20242025 Models solve the stated OTIS mock AIME mathematics problems Epoch 88.9% #49 of 130
No benchmark matches
CheaperGemini 3.8 Flashhighwins 58%-13%*$1.24Sampling parameters are ignored+1
BetterGPT-5.6 Terraxhighwins 53%+161%$0.63Prompts with >272K input tokens
OpenGLM 5.3maxwins 59%+25%$2.01No image input+4
MiMo v2.5 ProunstatedOpenwins 55%-68%$0.43 / $0.87Memory (4-bit): 571 GB → 614 GB+1
Muse Spark 1.2xhighwins 60%+16%$0.97Only auto tool_choice is supported+1
Kimi K2.6unstatedOpenwins 53%same$0.95 / $4Memory (4-bit): 571 GB → 616 GB