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 26 #77 of 337
Knowledge 4
AA OmniscienceAccuracy Measures correct answers on the AA Omniscience factual knowledge test AA 22.4% #134 of 321+1 versions & slices Hallucination Rate Measures how often attempted answers are incorrect on the AA Omniscience factual knowledge test AA 24.7% #18 of 321
AA Omniscience Index Scores factual knowledge while penalizing incorrect answers to encourage admitting uncertainty AA 3.3 #58 of 321
IFBench (instructions) Checks whether the model follows precise formatting and content instructions AA 79.9% #6 of 248
Math 1
AA Analyst Agent Data-analyst tasks: the model explores data with tools and reports findings AA 20% #30 of 43
Science 3
Humanity's Last Exam Very hard expert questions across many fields, written to stump today’s models AA 35.7% #59 of 337
CritPt (physics) Research-level physics problems that need many careful reasoning steps AA 4% #87 of 324
SciCode Writing code for real scientific computing problems (physics, biology, math) AA 50.6% #48 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 65.2% #43 of 156
ITBench SRE IT incident tasks: diagnose and fix broken systems like a site-reliability engineer AA 38.2% #20 of 37
WebDev Arena Human pairwise preferences in the stated webdev vote pool Arena 1,480 #50 of 97+1 versions & slices full cohort Human pairwise preferences in the stated webdev vote pool Arena 1,480 #50 of 97
DeepSWE1 Agents change repository code to resolve software engineering tasks under the stated DeepSWE edition Datacurve 19.5% #11 of 20
Terminal-Bench Hard Agents solve difficult software, system-administration and data-processing tasks in a terminal AA 43.2% #25 of 242
Agents 5
AutomationBench-AA Agents orchestrate SaaS workflows through APIs; objectives receive credit only when the task has no guardrail violation AA 13.7% #71 of 133
AA-Briefcase1.1 · Elo Agents produce professional deliverables; blind pairwise comparisons produce the source Elo rating AA 883 #67 of 140
APEX-Agents Agents complete long-horizon professional-services tasks across realistic applications AA 2.4% #27 of 29
GDPval-AA (work tasks)2.1 Real work tasks from many professions (reports, spreadsheets, analyses), graded against expert work AA 31 #60 of 175
τ³-BankingAA Agents retrieve banking knowledge and execute tools to resolve customer-support workflows AA 9.9% #90 of 134
Writing 18
Arena Textcreative writing Human pairwise preferences in the stated text vote pool Arena 1,434 #42 of 195+14 versions & slices overall Human pairwise preferences in the stated text vote pool Arena 1,467 #32 of 196Chinese Human pairwise preferences in the stated text vote pool Arena 1,507 #36 of 181English Human pairwise preferences in the stated text vote pool Arena 1,477 #22 of 188French Human pairwise preferences in the stated text vote pool Arena 1,488 #18 of 149German Human pairwise preferences in the stated text vote pool Arena 1,459 #28 of 154instruction following Human pairwise preferences in the stated text vote pool Arena 1,476 #19 of 188Japanese Human pairwise preferences in the stated text vote pool Arena 1,410 #40 of 138Korean Human pairwise preferences in the stated text vote pool Arena 1,435 #20 of 144non-English Human pairwise preferences in the stated text vote pool Arena 1,449 #30 of 188Polish Human pairwise preferences in the stated text vote pool Arena 1,464 #18 of 133Russian Human pairwise preferences in the stated text vote pool Arena 1,450 #35 of 186Spanish Human pairwise preferences in the stated text vote pool Arena 1,470 #18 of 155overall · full cohort Human pairwise preferences in the stated text vote pool Arena 1,465 #27 of 188creative writing · full cohort Human pairwise preferences in the stated text vote pool Arena 1,438 #35 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 73.7% #29 of 95
EQ-Bench Creative Writingv3 Creative Writing v3 · Elo: Judge-rated creative writing under the v3 prompt set and pairwise ranking EQ-Bench 1,493 #49 of 91
Lech Mazur Short-Story Judges compare stories written to ten required elements; the comparison score can be negative Lech -0.7 #27 of 44
Health & law 5
MLCR-AA Models synthesize long medical records; the headline credits concise answers judged both accurate and complete AA 9.4% #42 of 64
Vals LegalBench Legal reasoning and legal-language understanding on LegalBench Vals 77.1% #73 of 89
Vals MedCode Medical coding accuracy on patient encounters Vals 32.5% #67 of 78
Vals MedScribe Accuracy of clinical notes produced from consultation transcripts Vals 83.7% #36 of 80
Vals Legal Research Bench Grounded legal research; a task passes only if all criteria pass Vals 15.9% #51 of 69
Documents 2
GDP.pdfAA all-pass Models reason over professional PDF documents; an attempt passes only when every atomic criterion passes 4% #91 of 133
AA-LCR (long context)1.1 Questions that need reading and connecting facts across very long documents (around 100K tokens) AA 79.7% #48 of 275
Legacy · saturated or no longer reported 8
GPQA Diamond Graduate-level biology, chemistry and physics questions that can’t be solved by a quick web search 86.6% #64 of 315
SWE-rebenchall · 2026-03-01 to 2026-07-01 Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 44.4% #3 of 6+5 versions & slices Go · 2026-03-01 to 2026-07-01 Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 56.2% #2 of 6Java · 2026-03-01 to 2026-07-01 Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 42.9% #3 of 6Python · 2026-03-01 to 2026-07-01 Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 42.6% #3 of 6Rust · 2026-03-01 to 2026-07-01 Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 44% #3 of 6TypeScript · 2026-03-01 to 2026-07-01 Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 45.8% #3 of 6
τ²-benchAA Tests service agents that use tools while coordinating with a simulated user AA 94.2% #23 of 245
No benchmark matches