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 29.2 #60 of 337
Knowledge 5
AA OmniscienceAccuracy AA Omniscience · Accuracy: Measures correct answers on the AA Omniscience factual knowledge test AA 16.7% #206 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 18.4% #9 of 321
AA Omniscience Index AA Omniscience Index: Scores factual knowledge while penalizing incorrect answers to encourage admitting uncertainty AA 1.4 #62 of 321
IFBench (instructions) IFBench (instructions): Checks whether the model follows precise formatting and content instructions AA 82.9% #2 of 248
Mystery Game Puzzles Mystery Game Puzzles: Models choose the best move in puzzle positions from an undisclosed game Epoch 8% #58 of 64
Reasoning 1
Chess Puzzles Chess Puzzles: Models choose the best next move from a novel chess position Epoch 13% #60 of 68
Math 1
AA Analyst Agent AA Analyst Agent: Data-analyst tasks: the model explores data with tools and reports findings AA 10% #39 of 43
Science 4
Humanity's Last Exam Humanity's Last Exam: Very hard expert questions across many fields, written to stump today’s models AA 39% #49 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 47.1% #65 of 140
Terminal-Bench Science0.1 Terminal-Bench Science 0.1: Agents complete expert-authored research workflows across five scientific domains in a terminal AA 0.5% #26 of 33
Coding 8
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 2% #49 of 132+1 versions & slices 2.1 Terminal-Bench 2.1 · source setting 2: Older, easier version of Terminal-Bench; Still widely reported AA 65.2% #43 of 156
DeepSWE1.1 DeepSWE 1.1: Agents change repository code to resolve software engineering tasks under the stated DeepSWE edition 9.1% #36 of 44+1 versions & slices 1 DeepSWE 1: Agents change repository code to resolve software engineering tasks under the stated DeepSWE edition Datacurve 20.4% #10 of 20
FrontierCode1.1 FrontierCode 1.1: Agents implement changes in real repositories, graded against maintainer-defined requirements AA 23% #25 of 28
WebDev Arena WebDev Arena: Human pairwise preferences in the stated webdev vote pool Arena 1,482 #48 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 1,482 #48 of 97
Terminal-Bench Hard Terminal-Bench Hard (version unstated): Agents solve difficult software, system-administration and data-processing tasks in a terminal AA 42.4% #28 of 242
Agents 5
AutomationBench-AA AutomationBench-AA: Agents orchestrate SaaS workflows through APIs; objectives receive credit only when the task has no guardrail violation AA 21.3% #58 of 133
AA-Briefcase1.1 · Elo AA-Briefcase 1.1 · Elo: Agents produce professional deliverables; blind pairwise comparisons produce the source Elo rating AA 1,090 #48 of 140
EnterpriseOps-Gym-AA EnterpriseOps-Gym-AA: Agents complete stateful enterprise workflows in eight domains; final database state determines success AA 32.1% #32 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 37.1 #49 of 175
τ³-BankingAA τ³-Banking · AA: Agents retrieve banking knowledge and execute tools to resolve customer-support workflows AA 15.3% #68 of 134
Multimodal 2
MMMU-Pro (vision) MMMU-Pro (vision): College-level questions that require understanding images: charts, diagrams, photos AA 78.6% #29 of 127
Arena Vision Arena Vision · overall: Human pairwise preferences in the stated vision vote pool Arena 1,251 #44 of 88
Writing 16
Arena Textcreative writing Arena Text · creative writing: Human pairwise preferences in the stated text vote pool Arena 1,405 #62 of 195+14 versions & slices overall Arena Text · overall: Human pairwise preferences in the stated text vote pool Arena 1,441 #63 of 196Chinese Arena Text · chinese: Human pairwise preferences in the stated text vote pool Arena 1,467 #65 of 181English Arena Text · english: Human pairwise preferences in the stated text vote pool Arena 1,444 #58 of 188French Arena Text · french: Human pairwise preferences in the stated text vote pool Arena 1,445 #63 of 149German Arena Text · german: Human pairwise preferences in the stated text vote pool Arena 1,427 #51 of 154instruction following Arena Text · instruction following: Human pairwise preferences in the stated text vote pool Arena 1,433 #52 of 188Japanese Arena Text · japanese: Human pairwise preferences in the stated text vote pool Arena 1,381 #58 of 138Korean Arena Text · korean: Human pairwise preferences in the stated text vote pool Arena 1,373 #63 of 144non-English Arena Text · non english: Human pairwise preferences in the stated text vote pool Arena 1,420 #59 of 188Polish Arena Text · polish: Human pairwise preferences in the stated text vote pool Arena 1,424 #55 of 133Russian Arena Text · russian: Human pairwise preferences in the stated text vote pool Arena 1,427 #59 of 186Spanish Arena Text · spanish: Human pairwise preferences in the stated text vote pool Arena 1,432 #63 of 155overall · full cohort Arena Text · overall · snapshot 2026-10-15 · native board settings: Human pairwise preferences in the stated text vote pool Arena 1,433 #61 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 1,404 #53 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 -0.1 #25 of 44
Health & law 6
Harvey LAB-AA1.1 Harvey LAB-AA 1.1: Legal agents work from case documents; every rubric criterion must pass and material hallucinations receive no credit AA 0% #18 of 23
MLCR-AA MLCR-AA: Models synthesize long medical records; the headline credits concise answers judged both accurate and complete AA 17.2% #28 of 64
Vals LegalBench Vals LegalBench: Legal reasoning and legal-language understanding on LegalBench Vals 85.4% #17 of 89
Vals MedCode Vals MedCode: Medical coding accuracy on patient encounters Vals 46.3% #30 of 78
Vals MedScribe Vals MedScribe: Accuracy of clinical notes produced from consultation transcripts Vals 87.3% #17 of 80
Vals Legal Research Bench Vals Legal Research Bench: Grounded legal research; a task passes only if all criteria pass Vals 29.8% #41 of 69
Documents 3
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 83% #17 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 9.8% #62 of 133
Arena Document Arena Document · overall: Human pairwise preferences in the stated document vote pool Arena 1,435 #26 of 33
Legacy · saturated or no longer reported 10
GPQA Diamond GPQA Diamond: Graduate-level biology, chemistry and physics questions that can’t be solved by a quick web search 92.9% #13 of 315+1 versions & slices Epoch GPQA Diamond · source setting 2: Models answer graduate-level science multiple-choice questions Epoch 90.9% #24 of 133
OTIS Mock AIME 20242025 OTIS Mock AIME 2024 2025: Models solve the stated OTIS mock AIME mathematics problems Epoch 71.1% #74 of 130
SWE-rebenchall · 2026-03-01 to 2026-07-01 SWE-rebench · all · 2026-03-01 to 2026-07-01: Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 46.4% #2 of 6+5 versions & slices Go · 2026-03-01 to 2026-07-01 SWE-rebench · go · 2026-03-01 to 2026-07-01: Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 48.6% #3 of 6Java · 2026-03-01 to 2026-07-01 SWE-rebench · java · 2026-03-01 to 2026-07-01: Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 43.8% #2 of 6Python · 2026-03-01 to 2026-07-01 SWE-rebench · python · 2026-03-01 to 2026-07-01: Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 43.7% #2 of 6Rust · 2026-03-01 to 2026-07-01 SWE-rebench · rust · 2026-03-01 to 2026-07-01: Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 46.4% #2 of 6TypeScript · 2026-03-01 to 2026-07-01 SWE-rebench · typescript · 2026-03-01 to 2026-07-01: Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 61.7% #2 of 6
τ²-benchAA τ²-Bench: Tests service agents that use tools while coordinating with a simulated user AA 88.9% #47 of 245
No benchmark matches
CheaperGPT-6.1 Solxhigh+35%-23%$0.39Remove unsupported parameters+5
BetterClaude Haiku 5.5xhigh+10%-76%$0.12Remove sampling parameters+5
OpenMiMo v2.6 Prothinking+27%-74%$0.13Memory (4-bit): 256 GB → 615 GB+4
DeepSeek V4.1 Flash 1017maxOpen+11%-48%$0.26Memory (4-bit): 256 GB → 458 GB+5
Step 5 PreviewthinkingOpen+19%+102%$1.03Memory (4-bit): 256 GB → 363 GB+3
Muse Spark OpenxhighOpen+13%+66%$0.84Memory (4-bit): 256 GB → 493 GB+2
GLM 5.3maxOpen+8%+295%$2.01Memory (4-bit): 256 GB → 452 GB+5