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 14.7 #148 of 337
Knowledge 7
AA OmniscienceAccuracy Measures correct answers on the AA Omniscience factual knowledge test AA 20% #155 of 321+1 versions & slices Hallucination Rate Measures how often attempted answers are incorrect on the AA Omniscience factual knowledge test AA 85% #200 of 321
AA Omniscience Index Scores factual knowledge while penalizing incorrect answers to encourage admitting uncertainty AA -47.9 #199 of 321
IFBench (instructions) Checks whether the model follows precise formatting and content instructions AA 75.6% #21 of 248
EQ-Bench3 Judge-rated responses to social and emotionally nuanced scenarios, scored through the source pairwise ranking EQ-Bench 1,434 #23 of 50
SimpleQA Verifiedv1 Accuracy on short factual questions with verified answers, answered without web access 10.4% #78 of 83+1 versions & slices v1 · October 2026 run SimpleQA Verified v1 · Kaggle SimpleQA Verified v1; generation settings not stated · historical run: Accuracy on short factual questions with verified answers, answered without web access 10.7% #1 of 1
Science 3
Humanity's Last Exam Very hard expert questions across many fields, written to stump today’s models AA 23.6% #105 of 337
CritPt (physics) Research-level physics problems that need many careful reasoning steps AA 1.4% #113 of 324
SciCode Writing code for real scientific computing problems (physics, biology, math) AA 45.5% #71 of 140
Coding 7
Terminal-Bench4.0 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 Older, easier version of Terminal-Bench; Still widely reported AA 43.4% #81 of 156
DeepSWE1.1 Agents change repository code to resolve software engineering tasks under the stated DeepSWE edition 0% #41 of 44
ITBench SRE IT incident tasks: diagnose and fix broken systems like a site-reliability engineer AA 37.3% #22 of 37
WebDev Arena Human pairwise preferences in the stated webdev vote pool Arena 1,367 #76 of 97+1 versions & slices full cohort Human pairwise preferences in the stated webdev vote pool Arena 1,367 #76 of 97
Terminal-Bench Hard Agents solve difficult software, system-administration and data-processing tasks in a terminal AA 36.4% #39 of 242
Agents 5
AutomationBench-AA Agents orchestrate SaaS workflows through APIs; objectives receive credit only when the task has no guardrail violation AA 4.9% #85 of 133
AA-Briefcase1.1 · Elo Agents produce professional deliverables; blind pairwise comparisons produce the source Elo rating AA 368 #105 of 140
EnterpriseOps-Gym-AA Agents complete stateful enterprise workflows in eight domains; final database state determines success AA 28.3% #38 of 43
GDPval-AA (work tasks)2.1 Real work tasks from many professions (reports, spreadsheets, analyses), graded against expert work AA 6 #113 of 175
τ³-BankingAA Agents retrieve banking knowledge and execute tools to resolve customer-support workflows AA 14.8% #71 of 134
Multimodal 2
MMMU-Pro (vision) College-level questions that require understanding images: charts, diagrams, photos AA 73.4% #61 of 127
Arena Vision Human pairwise preferences in the stated vision vote pool Arena 1,276 #27 of 88
Writing 15
Arena Textcreative writing Human pairwise preferences in the stated text vote pool Arena 1,419 #55 of 195+11 versions & slices overall Human pairwise preferences in the stated text vote pool Arena 1,452 #50 of 196Chinese Human pairwise preferences in the stated text vote pool Arena 1,475 #59 of 181English Human pairwise preferences in the stated text vote pool Arena 1,451 #46 of 188French Human pairwise preferences in the stated text vote pool Arena 1,435 #71 of 149instruction following Human pairwise preferences in the stated text vote pool Arena 1,433 #51 of 188non-English Human pairwise preferences in the stated text vote pool Arena 1,431 #46 of 188Polish Human pairwise preferences in the stated text vote pool Arena 1,431 #47 of 133Russian Human pairwise preferences in the stated text vote pool Arena 1,461 #27 of 186Spanish Human pairwise preferences in the stated text vote pool Arena 1,443 #50 of 155overall · full cohort Human pairwise preferences in the stated text vote pool Arena 1,443 #44 of 188creative writing · full cohort Human pairwise preferences in the stated text vote pool Arena 1,415 #49 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 56.5% #57 of 95
EQ-Bench Creative Writingv3 Creative Writing v3 · Elo: Judge-rated creative writing under the v3 prompt set and pairwise ranking EQ-Bench 1,368 #60 of 91
Lech Mazur Short-Story Judges compare stories written to ten required elements; the comparison score can be negative Lech -1.9 #34 of 44
Documents 3
AA-LCR (long context)1.1 Questions that need reading and connecting facts across very long documents (around 100K tokens) AA 69.7% #126 of 275
GDP.pdfAA all-pass Models reason over professional PDF documents; an attempt passes only when every atomic criterion passes 6% #78 of 133
Arena Document Human pairwise preferences in the stated document vote pool Arena 1,425 #27 of 33
Legacy · saturated or no longer reported 12
GPQA Diamond Graduate-level biology, chemistry and physics questions that can’t be solved by a quick web search 85.7% #71 of 315+1 versions & slices Epoch Models answer graduate-level science multiple-choice questions Epoch 75.8% #73 of 133
Video-MME2 · without subtitles/audio Grouped non-linear question scoring for video understanding; this is distinct from mean question accuracy Video-MME 19% #5 of 18+1 versions & slices 2 · with subtitles/audio Grouped non-linear question scoring for video understanding; this is distinct from mean question accuracy Video-MME 28.2% #5 of 18
OTIS Mock AIME 20242025 Models solve the stated OTIS mock AIME mathematics problems Epoch 73.3% #73 of 130
SWE-rebenchall · 2026-02-01 to 2026-05-15 Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 25.1% #4 of 4+5 versions & slices Go · 2026-02-01 to 2026-05-15 Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 0% #1 of 4Java · 2026-02-01 to 2026-05-15 Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 0% #1 of 4Python · 2026-02-01 to 2026-05-15 Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 25.1% #4 of 4Rust · 2026-02-01 to 2026-05-15 Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 0% #1 of 4TypeScript · 2026-02-01 to 2026-05-15 Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 0% #1 of 4
τ²-benchAA Tests service agents that use tools while coordinating with a simulated user AA 59.9% #104 of 245
No benchmark matches
BetterGPT-5.6 Lunaxhighwins 55%+181%$0.085
BetterGrok 4.6highwins 54%+1,775%$1.48