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 21.8 #107 of 337
Knowledge 4
AA OmniscienceAccuracy AA Omniscience · Accuracy: Measures correct answers on the AA Omniscience factual knowledge test AA 16.8% #205 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 31.9% #41 of 321
AA Omniscience Index AA Omniscience Index: Scores factual knowledge while penalizing incorrect answers to encourage admitting uncertainty AA -9.8 #92 of 321
IFBench (instructions) IFBench (instructions): Checks whether the model follows precise formatting and content instructions AA 67.1% #64 of 248
Science 3
Humanity's Last Exam Humanity's Last Exam: Very hard expert questions across many fields, written to stump today’s models AA 27.2% #98 of 337
CritPt (physics) CritPt (physics): Research-level physics problems that need many careful reasoning steps AA 3.7% #88 of 324
SciCode SciCode: Writing code for real scientific computing problems (physics, biology, math) AA 43.9% #78 of 140
Coding 5
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 0% #75 of 132+1 versions & slices 2.1 Terminal-Bench 2.1 · source setting 2: Older, easier version of Terminal-Bench; Still widely reported AA 63.7% #47 of 156
WebDev Arena WebDev Arena: Human pairwise preferences in the stated webdev vote pool Arena 1,438 #55 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 1,438 #55 of 97
Terminal-Bench Hard Terminal-Bench Hard (version unstated): Agents solve difficult software, system-administration and data-processing tasks in a terminal AA 41.7% #31 of 242
Agents 4
AutomationBench-AA AutomationBench-AA: Agents orchestrate SaaS workflows through APIs; objectives receive credit only when the task has no guardrail violation AA 18.4% #62 of 133
AA-Briefcase1.1 · Elo AA-Briefcase 1.1 · Elo: Agents produce professional deliverables; blind pairwise comparisons produce the source Elo rating AA 754 #79 of 140
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 24.9 #80 of 175
τ³-BankingAA τ³-Banking · AA: Agents retrieve banking knowledge and execute tools to resolve customer-support workflows AA 8.7% #98 of 134
Multimodal 2
MMMU-Pro (vision) MMMU-Pro (vision): College-level questions that require understanding images: charts, diagrams, photos AA 75.4% #44 of 127
Arena Vision Arena Vision · overall: Human pairwise preferences in the stated vision vote pool Arena 1,247 #46 of 88
Writing 15
Arena Textcreative writing Arena Text · creative writing: Human pairwise preferences in the stated text vote pool Arena 1,395 #72 of 195+14 versions & slices overall Arena Text · overall: Human pairwise preferences in the stated text vote pool Arena 1,434 #71 of 196Chinese Arena Text · chinese: Human pairwise preferences in the stated text vote pool Arena 1,468 #63 of 181English Arena Text · english: Human pairwise preferences in the stated text vote pool Arena 1,447 #55 of 188French Arena Text · french: Human pairwise preferences in the stated text vote pool Arena 1,447 #59 of 149German Arena Text · german: Human pairwise preferences in the stated text vote pool Arena 1,421 #55 of 154instruction following Arena Text · instruction following: Human pairwise preferences in the stated text vote pool Arena 1,435 #50 of 188Japanese Arena Text · japanese: Human pairwise preferences in the stated text vote pool Arena 1,306 #86 of 138Korean Arena Text · korean: Human pairwise preferences in the stated text vote pool Arena 1,361 #69 of 144non-English Arena Text · non english: Human pairwise preferences in the stated text vote pool Arena 1,405 #76 of 188Polish Arena Text · polish: Human pairwise preferences in the stated text vote pool Arena 1,413 #61 of 133Russian Arena Text · russian: Human pairwise preferences in the stated text vote pool Arena 1,396 #84 of 186Spanish Arena Text · spanish: Human pairwise preferences in the stated text vote pool Arena 1,415 #73 of 155overall · full cohort Arena Text · overall · snapshot 2026-10-15 · native board settings: Human pairwise preferences in the stated text vote pool Arena 1,428 #68 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 1,393 #67 of 187
Health & law 4
Vals LegalBench Vals LegalBench: Legal reasoning and legal-language understanding on LegalBench Vals 78.9% #69 of 89
Vals MedCode Vals MedCode: Medical coding accuracy on patient encounters Vals 31.9% #69 of 78
Vals MedScribe Vals MedScribe: Accuracy of clinical notes produced from consultation transcripts Vals 72.2% #67 of 80
Vals Legal Research Bench Vals Legal Research Bench: Grounded legal research; a task passes only if all criteria pass Vals 9.1% #62 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 73% #102 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 4% #91 of 133
Legacy · saturated or no longer reported 2
GPQA Diamond GPQA Diamond: Graduate-level biology, chemistry and physics questions that can’t be solved by a quick web search 84.9% #80 of 315
τ²-benchAA τ²-Bench: Tests service agents that use tools while coordinating with a simulated user AA 90.6% #40 of 245
No benchmark matches