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 36 #42 of 337
Knowledge 6
AA OmniscienceAccuracy AA Omniscience · Accuracy: Measures correct answers on the AA Omniscience factual knowledge test AA 49.1% #25 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 91.9% #274 of 321
AA Omniscience Index AA Omniscience Index: Scores factual knowledge while penalizing incorrect answers to encourage admitting uncertainty AA 0.8 #66 of 321
EQ-Bench3 EQ-Bench 3: Judge-rated responses to social and emotionally nuanced scenarios, scored through the source pairwise ranking EQ-Bench 1,570 #9 of 50
SimpleQA Verifiedv1 SimpleQA Verified v1: Accuracy on short factual questions with verified answers, answered without web access 52.9% #22 of 83
Mystery Game Puzzles Mystery Game Puzzles: Models choose the best move in puzzle positions from an undisclosed game Epoch 43% #14 of 64
Reasoning 5
ARC-AGI-1public evaluation ARC-AGI-1 · public-eval: Models infer transformations from examples and solve unseen grid puzzles; the evaluation split is explicit ARC 92.8% #26 of 61+1 versions & slices semi-private ARC-AGI-1 · semi-private: Models infer transformations from examples and solve unseen grid puzzles; the evaluation split is explicit ARC 87.2% #30 of 64
ARC-AGI-2public evaluation ARC-AGI-2 · public-eval: Models infer transformations from examples and solve unseen grid puzzles; the evaluation split is explicit ARC 63.6% #23 of 63+1 versions & slices semi-private ARC-AGI-2 · semi-private: Models infer transformations from examples and solve unseen grid puzzles; the evaluation split is explicit ARC 59.7% #28 of 66
Chess Puzzles Chess Puzzles: Models choose the best next move from a novel chess position Epoch 46% #21 of 68
Math 14
MathArenaAIME 2026 MathArena · AIME 2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 96.7% #6 of 24+11 versions & slices HMMT February 2026 MathArena · HMMT February 2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 93.9% #9 of 24Apex MathArena · apex · Apex: Answer accuracy on the named mathematics competition under the recorded effort MathArena 28.1% #9 of 34Apex Shortlist MathArena · apex · Apex Shortlist: Answer accuracy on the named mathematics competition under the recorded effort MathArena 87.8% #6 of 30ArXivMath · April 2026 MathArena · arxiv · 04/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 51.3% #12 of 17ArXivMath · February 2026 MathArena · arxiv · 02/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 51.6% #6 of 20ArXivMath · January 2026 MathArena · arxiv · 01/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 73.9% #2 of 18ArXivMath · March 2026 MathArena · arxiv · 03/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 55.8% #7 of 14BrokenArXiv · April 2026 MathArena · arxiv_false · 04/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 22.1% #10 of 15BrokenArXiv · February 2026 MathArena · arxiv_false · 02/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 13.3% #7 of 15BrokenArXiv · March 2026 MathArena · arxiv_false · 03/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 15.2% #6 of 13USAMO 2026 MathArena · usamo · USAMO 2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 60.7% #4 of 8
FrontierMath Tier 4 (v2) FrontierMath Tier 4 (v2): Models solve expert-written advanced mathematics problems on the named tier and edition Epoch 26.8% #32 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 64.6% #32 of 69
Science 4
Humanity's Last Exam Humanity's Last Exam: Very hard expert questions across many fields, written to stump today’s models AA 41% #40 of 337
CritPt (physics) CritPt (physics): Research-level physics problems that need many careful reasoning steps AA 18% #34 of 324
SciCode SciCode: Writing code for real scientific computing problems (physics, biology, math) AA 51% #47 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 5.7% #19 of 33
Coding 7
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 14.1% #32 of 132+1 versions & slices 2.1 Terminal-Bench 2.1 · source setting 2: Older, easier version of Terminal-Bench; Still widely reported AA 78.7% #24 of 156
DeepSWE1.1 DeepSWE 1.1: Agents change repository code to resolve software engineering tasks under the stated DeepSWE edition 62.8% #19 of 44+1 versions & slices 1 DeepSWE 1: Agents change repository code to resolve software engineering tasks under the stated DeepSWE edition Datacurve 7.5% #16 of 20
FrontierCode1.1 FrontierCode 1.1: Agents implement changes in real repositories, graded against maintainer-defined requirements AA 38.8% #18 of 28
WebDev Arena WebDev Arena: Human pairwise preferences in the stated webdev vote pool Arena 1,582 #29 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 1,582 #29 of 97
Agents 6
AutomationBench-AA AutomationBench-AA: Agents orchestrate SaaS workflows through APIs; objectives receive credit only when the task has no guardrail violation AA 56.7% #27 of 133
AA-Briefcase1.1 · Elo AA-Briefcase 1.1 · Elo: Agents produce professional deliverables; blind pairwise comparisons produce the source Elo rating AA 1,256 #40 of 140
EnterpriseOps-Gym-AA EnterpriseOps-Gym-AA: Agents complete stateful enterprise workflows in eight domains; final database state determines success AA 49.6% #2 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 47.4 #34 of 175
Toolathlon-Verified Toolathlon-Verified: Toolathlon-Verified as reported in this launch evaluation; the post is the authority for the recorded task and grading scope 74.4% #5 of 6
τ³-BankingAA τ³-Banking · AA: Agents retrieve banking knowledge and execute tools to resolve customer-support workflows AA 39.6% #17 of 134
Writing 18
Arena Textcreative writing Arena Text · creative writing: Human pairwise preferences in the stated text vote pool Arena 1,446 #30 of 195+14 versions & slices overall Arena Text · overall: Human pairwise preferences in the stated text vote pool Arena 1,465 #36 of 196Chinese Arena Text · chinese: Human pairwise preferences in the stated text vote pool Arena 1,481 #54 of 181English Arena Text · english: Human pairwise preferences in the stated text vote pool Arena 1,459 #34 of 188French Arena Text · french: Human pairwise preferences in the stated text vote pool Arena 1,473 #27 of 149German Arena Text · german: Human pairwise preferences in the stated text vote pool Arena 1,458 #30 of 154instruction following Arena Text · instruction following: Human pairwise preferences in the stated text vote pool Arena 1,445 #39 of 188Japanese Arena Text · japanese: Human pairwise preferences in the stated text vote pool Arena 1,446 #21 of 138Korean Arena Text · korean: Human pairwise preferences in the stated text vote pool Arena 1,409 #36 of 144non-English Arena Text · non english: Human pairwise preferences in the stated text vote pool Arena 1,439 #37 of 188Polish Arena Text · polish: Human pairwise preferences in the stated text vote pool Arena 1,461 #21 of 133Russian Arena Text · russian: Human pairwise preferences in the stated text vote pool Arena 1,452 #33 of 186Spanish Arena Text · spanish: Human pairwise preferences in the stated text vote pool Arena 1,456 #33 of 155overall · full cohort Arena Text · overall · snapshot 2026-10-15 · native board settings: Human pairwise preferences in the stated text vote pool Arena 1,451 #36 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 1,446 #26 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 75.6% #25 of 95
EQ-Bench Creative Writingv3 Creative Writing v3 · Elo: Judge-rated creative writing under the v3 prompt set and pairwise ranking EQ-Bench 1,553 #48 of 91
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 0.5 #18 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 17.8% #26 of 64
Vals LegalBench Vals LegalBench: Legal reasoning and legal-language understanding on LegalBench Vals 82.4% #52 of 89
Vals MedCode Vals MedCode: Medical coding accuracy on patient encounters Vals 42.5% #42 of 78
Vals MedScribe Vals MedScribe: Accuracy of clinical notes produced from consultation transcripts Vals 80.2% #49 of 80
Vals Legal Research Bench Vals Legal Research Bench: Grounded legal research; a task passes only if all criteria pass Vals 40.9% #23 of 69
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 11.4% #51 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 80.3% #39 of 275
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 92.8% #14 of 315+1 versions & slices Epoch GPQA Diamond · source setting 2: Models answer graduate-level science multiple-choice questions Epoch 91.7% #20 of 133
OTIS Mock AIME 20242025 OTIS Mock AIME 2024 2025: Models solve the stated OTIS mock AIME mathematics problems Epoch 98.6% #19 of 130
SWE-bench VerifiedEpoch Swe Bench Verified: Agents modify real repositories to resolve the stated Verified issues Epoch 77.6% #3 of 24
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 41.4% #4 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 34.3% #4 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 41.8% #4 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 39.2% #4 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 41.7% #4 of 6
No benchmark matches
BetterGPT-6.1 Solmaxwins 73%+102%$0.72Remove unsupported parameters+5
CheaperMiMo v2.6 FlashunstatedOpenwins 57%-91%$0.14 / $0.28Pass back reasoning_content+3
CheaperHy4 previewOpenwins 57%-37%$0.83 / $2.50
CheaperQwen3.8 FlashunstatedOpenwins 57%-88%$0.15 / $0.47Context: 1M → 262K+6
Claude Sonnet 5.5highwins 68%+102%$0.88No forced tool use+5
Muse Spark 1.3xhighwins 56%same$1.37Only auto tool_choice is supported+5
GLM 5.2maxOpenwins 53%+9%$1.47
Kimi K3maxOpenwins 60%+203%$2.00Memory (4-bit): 990 GB → 1,668 GB+4