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 12.7 #172 of 337
Knowledge 6
AA OmniscienceAccuracy AA Omniscience · Accuracy: Measures correct answers on the AA Omniscience factual knowledge test AA 22.8% #129 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 89.8% #247 of 321
AA Omniscience Index AA Omniscience Index: Scores factual knowledge while penalizing incorrect answers to encourage admitting uncertainty AA -46.5 #195 of 321
IFBench (instructions) IFBench (instructions): Checks whether the model follows precise formatting and content instructions AA 51.2% #112 of 248
SimpleQA Verifiedv1 SimpleQA Verified v1: Accuracy on short factual questions with verified answers, answered without web access 40.4% #41 of 83
Mystery Game Puzzles Mystery Game Puzzles: Models choose the best move in puzzle positions from an undisclosed game Epoch 9% #55 of 64
Math 2
FrontierMath FrontierMath: Models solve expert-written advanced mathematics problems on the named tier and edition Epoch 8.5% #27 of 40
FrontierMath Tier4 FrontierMath Tier 4: Models solve expert-written advanced mathematics problems on the named tier and edition Epoch 0% #28 of 33
Science 3
Humanity's Last Exam Humanity's Last Exam: Very hard expert questions across many fields, written to stump today’s models AA 15.9% #140 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 41.4% #89 of 140
Coding 3
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 12% #123 of 156
Terminal-Bench Hard Terminal-Bench Hard (version unstated): Agents solve difficult software, system-administration and data-processing tasks in a terminal AA 13.6% #114 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 2.2% #97 of 133
AA-Briefcase1.1 · Elo AA-Briefcase 1.1 · Elo: Agents produce professional deliverables; blind pairwise comparisons produce the source Elo rating AA 169 #118 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 0 #122 of 175
τ³-BankingAA τ³-Banking · AA: Agents retrieve banking knowledge and execute tools to resolve customer-support workflows AA 7.8% #100 of 134
Writing 14
Arena Textcreative writing Arena Text · creative writing: Human pairwise preferences in the stated text vote pool Arena 1,370 #89 of 195+13 versions & slices overall Arena Text · overall: Human pairwise preferences in the stated text vote pool Arena 1,400 #100 of 196Chinese Arena Text · chinese: Human pairwise preferences in the stated text vote pool Arena 1,481 #53 of 181English Arena Text · english: Human pairwise preferences in the stated text vote pool Arena 1,429 #75 of 188German Arena Text · german: Human pairwise preferences in the stated text vote pool Arena 1,408 #67 of 154instruction following Arena Text · instruction following: Human pairwise preferences in the stated text vote pool Arena 1,386 #89 of 188Japanese Arena Text · japanese: Human pairwise preferences in the stated text vote pool Arena 1,386 #57 of 138Korean Arena Text · korean: Human pairwise preferences in the stated text vote pool Arena 1,375 #61 of 144non-English Arena Text · non english: Human pairwise preferences in the stated text vote pool Arena 1,397 #83 of 188Polish Arena Text · polish: Human pairwise preferences in the stated text vote pool Arena 1,390 #74 of 133Russian Arena Text · russian: Human pairwise preferences in the stated text vote pool Arena 1,400 #80 of 186Spanish Arena Text · spanish: Human pairwise preferences in the stated text vote pool Arena 1,389 #93 of 155overall · full cohort Arena Text · overall · snapshot 2026-10-15 · native board settings: Human pairwise preferences in the stated text vote pool Arena 1,415 #80 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 1,384 #75 of 187
Documents 2
GDP.pdfAA all-pass GDP.pdf · AA all-pass: Models reason over professional PDF documents; an attempt passes only when every atomic criterion passes 4.8% #89 of 133
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 72% #108 of 275
Legacy · saturated or no longer reported 12
AIME2025 · AA archived AIME 2025 · AA archived: AA evaluates the 30 integer-answer problems from the 2025 AIME mathematics competition AA 91% #12 of 140
LiveCodeBenchAA archived LiveCodeBench · AA archived: AA evaluates solutions to newly collected competitive-programming problems AA 78.8% #19 of 153
GPQA Diamond GPQA Diamond: Graduate-level biology, chemistry and physics questions that can’t be solved by a quick web search 79% #121 of 315+1 versions & slices Epoch GPQA Diamond · source setting 2: Models answer graduate-level science multiple-choice questions Epoch 80.1% #69 of 133
OTIS Mock AIME 20242025 OTIS Mock AIME 2024 2025: Models solve the stated OTIS mock AIME mathematics problems Epoch 86.7% #55 of 130
SWE-rebenchall · 2025-07-01 to 2025-12-01 SWE-rebench · all · 2025-07-01 to 2025-12-01: Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 21.3% #2 of 2+5 versions & slices Go · 2025-07-01 to 2025-12-01 SWE-rebench · go · 2025-07-01 to 2025-12-01: Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 0% #1 of 2Java · 2025-07-01 to 2025-12-01 SWE-rebench · java · 2025-07-01 to 2025-12-01: Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 0% #1 of 2Python · 2025-07-01 to 2025-12-01 SWE-rebench · python · 2025-07-01 to 2025-12-01: Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 21.3% #2 of 2Rust · 2025-07-01 to 2025-12-01 SWE-rebench · rust · 2025-07-01 to 2025-12-01: Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 0% #1 of 2TypeScript · 2025-07-01 to 2025-12-01 SWE-rebench · typescript · 2025-07-01 to 2025-12-01: Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 0% #1 of 2
τ²-benchAA τ²-Bench: Tests service agents that use tools while coordinating with a simulated user AA 53.2% #108 of 245
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