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 24.8 #85 of 337
Knowledge 5 Leads on 1
AA OmniscienceAccuracy AA Omniscience · Accuracy: Measures correct answers on the AA Omniscience factual knowledge test AA 28.8% #85 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 16.9% #7 of 321
AA Omniscience Index AA Omniscience Index: Scores factual knowledge while penalizing incorrect answers to encourage admitting uncertainty AA 16.7 #28 of 321
IFBench (instructions) IFBench (instructions): Checks whether the model follows precise formatting and content instructions AA 83.3% #1 of 248
SimpleQA Verifiedv1 SimpleQA Verified v1: Accuracy on short factual questions with verified answers, answered without web access 33.2% #53 of 83
Reasoning 1
Chess Puzzles Chess Puzzles: Models choose the best next move from a novel chess position Epoch 18% #56 of 68
Math 3
AA Analyst Agent AA Analyst Agent: Data-analyst tasks: the model explores data with tools and reports findings AA 8.8% #40 of 43
FrontierMath Tier 4 (v2) FrontierMath Tier 4 (v2): Models solve expert-written advanced mathematics problems on the named tier and edition Epoch 14.6% #46 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 42.8% #50 of 69
Science 3
Humanity's Last Exam Humanity's Last Exam: Very hard expert questions across many fields, written to stump today’s models AA 30% #80 of 337
CritPt (physics) CritPt (physics): Research-level physics problems that need many careful reasoning steps AA 4.9% #78 of 324
SciCode SciCode: Writing code for real scientific computing problems (physics, biology, math) AA 48.3% #57 of 140
Coding 6
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 39.7% #85 of 156
ITBench SRE ITBench SRE: IT incident tasks: diagnose and fix broken systems like a site-reliability engineer AA 32.7% #27 of 37
WebDev Arena WebDev Arena: Human pairwise preferences in the stated webdev vote pool Arena 1,358 #79 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 1,358 #80 of 97
Terminal-Bench Hard Terminal-Bench Hard (version unstated): Agents solve difficult software, system-administration and data-processing tasks in a terminal AA 30.3% #61 of 242
Agents 6
AutomationBench-AA AutomationBench-AA: Agents orchestrate SaaS workflows through APIs; objectives receive credit only when the task has no guardrail violation AA 1.4% #106 of 133
AA-Briefcase1.1 · Elo AA-Briefcase 1.1 · Elo: Agents produce professional deliverables; blind pairwise comparisons produce the source Elo rating AA 762 #78 of 140
APEX-Agents APEX-Agents: Agents complete long-horizon professional-services tasks across realistic applications AA 17% #19 of 29
EnterpriseOps-Gym-AA EnterpriseOps-Gym-AA: Agents complete stateful enterprise workflows in eight domains; final database state determines success AA 26.3% #40 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 22.1 #89 of 175
τ³-BankingAA τ³-Banking · AA: Agents retrieve banking knowledge and execute tools to resolve customer-support workflows AA 12.4% #81 of 134
Multimodal 3
MMMU-Pro (vision) MMMU-Pro (vision): College-level questions that require understanding images: charts, diagrams, photos AA 75.8% #41 of 127
Arena Vision Arena Vision · overall: Human pairwise preferences in the stated vision vote pool Arena 1,229 #55 of 88
Chartography Chartography: Expert chart reasoning over professional scientific, medical, financial and engineering charts Surge 12.9% #32 of 37
Writing 16
Arena Textcreative writing Arena Text · creative writing: Human pairwise preferences in the stated text vote pool Arena 1,422 #52 of 195+14 versions & slices overall Arena Text · overall: Human pairwise preferences in the stated text vote pool Arena 1,442 #61 of 196Chinese Arena Text · chinese: Human pairwise preferences in the stated text vote pool Arena 1,421 #96 of 181English Arena Text · english: Human pairwise preferences in the stated text vote pool Arena 1,404 #95 of 188French Arena Text · french: Human pairwise preferences in the stated text vote pool Arena 1,412 #83 of 149German Arena Text · german: Human pairwise preferences in the stated text vote pool Arena 1,395 #74 of 154instruction following Arena Text · instruction following: Human pairwise preferences in the stated text vote pool Arena 1,366 #99 of 188Japanese Arena Text · japanese: Human pairwise preferences in the stated text vote pool Arena 1,379 #60 of 138Korean Arena Text · korean: Human pairwise preferences in the stated text vote pool Arena 1,355 #76 of 144non-English Arena Text · non english: Human pairwise preferences in the stated text vote pool Arena 1,385 #90 of 188Polish Arena Text · polish: Human pairwise preferences in the stated text vote pool Arena 1,398 #73 of 133Russian Arena Text · russian: Human pairwise preferences in the stated text vote pool Arena 1,399 #83 of 186Spanish Arena Text · spanish: Human pairwise preferences in the stated text vote pool Arena 1,399 #88 of 155overall · full cohort Arena Text · overall · snapshot 2026-10-15 · native board settings: Human pairwise preferences in the stated text vote pool Arena 1,397 #93 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 1,380 #78 of 187
Lech Mazur Short-Story Lech Mazur Short-Story · comparison score: Judges compare stories written to ten required elements; the comparison score can be negative Lech -4.3 #43 of 44
Health & law 5
MLCR-AA MLCR-AA: Models synthesize long medical records; the headline credits concise answers judged both accurate and complete AA 10% #41 of 64
Vals LegalBench Vals LegalBench: Legal reasoning and legal-language understanding on LegalBench Vals 84.5% #28 of 89
Vals MedCode Vals MedCode: Medical coding accuracy on patient encounters Vals 38.1% #56 of 78
Vals MedScribe Vals MedScribe: Accuracy of clinical notes produced from consultation transcripts Vals 74.4% #62 of 80
Vals Legal Research Bench Vals Legal Research Bench: Grounded legal research; a task passes only if all criteria pass Vals 15.4% #54 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 75% #88 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 5.8% #80 of 133
Legacy · saturated or no longer reported 4
GPQA Diamond GPQA Diamond: Graduate-level biology, chemistry and physics questions that can’t be solved by a quick web search 89% #46 of 315+1 versions & slices Epoch GPQA Diamond · source setting 2: Models answer graduate-level science multiple-choice questions Epoch 88.8% #38 of 133
OTIS Mock AIME 20242025 OTIS Mock AIME 2024 2025: Models solve the stated OTIS mock AIME mathematics problems Epoch 93.3% #38 of 130
τ²-benchAA τ²-Bench: Tests service agents that use tools while coordinating with a simulated user AA 91.2% #38 of 245
No benchmark matches
CheaperGemini 3 Flash Previewunstatedwins 63%-28%$0.50 / $3
BetterGPT-5.6 Terraxhighwins 57%+188%$0.63Prompts with >272K input tokens
OpenMiMo v2.6 Flashunstatedwins 60%-89%$0.14 / $0.28Pass back reasoning_content+3
CheaperHy3unstatedOpenwins 57%-85%$0.13 / $0.53Context: 1M → 256K+1
Qwen3.7 Plusunstatedwins 57%-64%$0.32 / $1.28
GLM 5.2maxOpenwins 58%+38%$1.47No image input
DeepSeek V4 Pro 0813unstatedOpenwins 59%+27%$1.32 / $3.96No image input+5
Kimi K3maxOpenwins 59%+284%$2.00Sampling parameters are fixed+3