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 33.7 #47 of 337
Knowledge 7
AA OmniscienceAccuracy Measures correct answers on the AA Omniscience factual knowledge test AA 24.3% #120 of 321+1 versions & slices Hallucination Rate Measures how often attempted answers are incorrect on the AA Omniscience factual knowledge test AA 26.3% #24 of 321
AA Omniscience Index Scores factual knowledge while penalizing incorrect answers to encourage admitting uncertainty AA 4.4 #54 of 321
IFBench (instructions) Checks whether the model follows precise formatting and content instructions AA 73.3% #30 of 248
EQ-Bench3 Judge-rated responses to social and emotionally nuanced scenarios, scored through the source pairwise ranking EQ-Bench 1,575 #8 of 50
SimpleQA Verifiedv1 Accuracy on short factual questions with verified answers, answered without web access 34.2% #50 of 83
Mystery Game Puzzles Models choose the best move in puzzle positions from an undisclosed game Epoch 19% #38 of 64
Reasoning 5
ARC-AGI-1public evaluation Models infer transformations from examples and solve unseen grid puzzles; the evaluation split is explicit ARC 80.4% #35 of 61+1 versions & slices semi-private Models infer transformations from examples and solve unseen grid puzzles; the evaluation split is explicit ARC 77% #37 of 64
ARC-AGI-2public evaluation Models infer transformations from examples and solve unseen grid puzzles; the evaluation split is explicit ARC 20.8% #36 of 63+1 versions & slices semi-private Models infer transformations from examples and solve unseen grid puzzles; the evaluation split is explicit ARC 22.8% #39 of 66
Chess Puzzles Models choose the best next move from a novel chess position Epoch 22% #47 of 68
Math 17
MathArenaAIME 2026 Answer accuracy on the named mathematics competition under the recorded effort MathArena 90% #22 of 24+14 versions & slices HMMT February 2026 Answer accuracy on the named mathematics competition under the recorded effort MathArena 92.4% #12 of 24Apex Answer accuracy on the named mathematics competition under the recorded effort MathArena 19.8% #13 of 34Apex Shortlist Answer accuracy on the named mathematics competition under the recorded effort MathArena 68.1% #17 of 30ArXivMath · April 2026 Answer accuracy on the named mathematics competition under the recorded effort MathArena 47.5% #13 of 17ArXivMath · February 2026 Answer accuracy on the named mathematics competition under the recorded effort MathArena 46.1% #7 of 20ArXivMath · June 2026 Answer accuracy on the named mathematics competition under the recorded effort MathArena 46.5% #21 of 24ArXivMath · March 2026 Answer accuracy on the named mathematics competition under the recorded effort MathArena 61.7% #6 of 14ArXivMath · May 2026 Answer accuracy on the named mathematics competition under the recorded effort MathArena 56.7% #13 of 19BrokenArXiv · April 2026 Answer accuracy on the named mathematics competition under the recorded effort MathArena 18.4% #12 of 15BrokenArXiv · February 2026 Answer accuracy on the named mathematics competition under the recorded effort MathArena 10.5% #11 of 15BrokenArXiv · June 2026 Answer accuracy on the named mathematics competition under the recorded effort MathArena 14.2% #22 of 24BrokenArXiv · March 2026 Answer accuracy on the named mathematics competition under the recorded effort MathArena 12.1% #8 of 13BrokenArXiv · May 2026 Answer accuracy on the named mathematics competition under the recorded effort MathArena 10.5% #15 of 18ArXivLean · June 2026 Answer accuracy on the named mathematics competition under the recorded effort MathArena 8.7% #8 of 9
FrontierMath Tier 4 (v2) Models solve expert-written advanced mathematics problems on the named tier and edition Epoch 29.3% #29 of 54
FrontierMath Tiers 1–3 (v2) Models solve expert-written advanced mathematics problems on the named tier and edition Epoch 59.2% #35 of 69
Science 3
Humanity's Last Exam Very hard expert questions across many fields, written to stump today’s models AA 41.1% #39 of 337
CritPt (physics) Research-level physics problems that need many careful reasoning steps AA 20.9% #25 of 324
SciCode Writing code for real scientific computing problems (physics, biology, math) AA 51.2% #46 of 140
Coding 8
Terminal-Bench4.0 Agents use a terminal to complete executable coding, system administration and research tasks in the 4.0 suite 1% #54 of 132+1 versions & slices 2.1 Older, easier version of Terminal-Bench; Still widely reported AA 77.9% #26 of 156
DeepSWE1.1 Agents change repository code to resolve software engineering tasks under the stated DeepSWE edition 43.8% #29 of 44+1 versions & slices 1 Agents change repository code to resolve software engineering tasks under the stated DeepSWE edition Datacurve 41.5% #5 of 20
ITBench SRE IT incident tasks: diagnose and fix broken systems like a site-reliability engineer AA 42.7% #13 of 37
WebDev Arena Human pairwise preferences in the stated webdev vote pool Arena 1,604 #24 of 97+1 versions & slices full cohort Human pairwise preferences in the stated webdev vote pool Arena 1,604 #24 of 97
Terminal-Bench Hard Agents solve difficult software, system-administration and data-processing tasks in a terminal AA 50.8% #12 of 242
Agents 8
AutomationBench-AA Agents orchestrate SaaS workflows through APIs; objectives receive credit only when the task has no guardrail violation AA 28.4% #49 of 133
AA-Briefcase1.1 · Elo Agents produce professional deliverables; blind pairwise comparisons produce the source Elo rating AA 1,229 #42 of 140
APEX-Agents Agents complete long-horizon professional-services tasks across realistic applications AA 33.7% #7 of 29
EnterpriseOps-Gym-AA Agents complete stateful enterprise workflows in eight domains; final database state determines success AA 42.7% #16 of 43
GDPval-AA (work tasks)2.1 Real work tasks from many professions (reports, spreadsheets, analyses), graded against expert work AA 43.6 #41 of 175
τ³-benchbanking · 1.0.1 τ-bench official · 3-banking-1.0.1: Customer-service agents converse with simulated users, retrieve domain knowledge and change state through tools Sierra 37.1% #10 of 21
EBR Bench Agents learn to play Earthborne Rangers across repeated playthroughs Epoch 9.5% #21 of 24
τ³-BankingAA Agents retrieve banking knowledge and execute tools to resolve customer-support workflows AA 34.6% #26 of 134
Writing 18
Arena Textcreative writing Human pairwise preferences in the stated text vote pool Arena 1,454 #21 of 195+14 versions & slices overall Human pairwise preferences in the stated text vote pool Arena 1,476 #24 of 196Chinese Human pairwise preferences in the stated text vote pool Arena 1,520 #22 of 181English Human pairwise preferences in the stated text vote pool Arena 1,474 #25 of 188French Human pairwise preferences in the stated text vote pool Arena 1,479 #24 of 149German Human pairwise preferences in the stated text vote pool Arena 1,471 #20 of 154instruction following Human pairwise preferences in the stated text vote pool Arena 1,466 #25 of 188Japanese Human pairwise preferences in the stated text vote pool Arena 1,451 #19 of 138Korean Human pairwise preferences in the stated text vote pool Arena 1,440 #18 of 144non-English Human pairwise preferences in the stated text vote pool Arena 1,459 #22 of 188Polish Human pairwise preferences in the stated text vote pool Arena 1,453 #24 of 133Russian Human pairwise preferences in the stated text vote pool Arena 1,468 #23 of 186Spanish Human pairwise preferences in the stated text vote pool Arena 1,478 #12 of 155overall · full cohort Human pairwise preferences in the stated text vote pool Arena 1,470 #23 of 188creative writing · full cohort Human pairwise preferences in the stated text vote pool Arena 1,463 #14 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 77.9% #22 of 95
EQ-Bench Creative Writingv3 Creative Writing v3 · Elo: Judge-rated creative writing under the v3 prompt set and pairwise ranking EQ-Bench 1,757 #27 of 91
Lech Mazur Short-Story Judges compare stories written to ten required elements; the comparison score can be negative Lech 0.5 #19 of 44
Health & law 5
MLCR-AA Models synthesize long medical records; the headline credits concise answers judged both accurate and complete AA 7.2% #45 of 64
Vals LegalBench Legal reasoning and legal-language understanding on LegalBench Vals 84.1% #35 of 89
Vals MedCode Medical coding accuracy on patient encounters Vals 40.8% #49 of 78
Vals MedScribe Accuracy of clinical notes produced from consultation transcripts Vals 83.5% #40 of 80
Vals Legal Research Bench Grounded legal research; a task passes only if all criteria pass Vals 31.3% #39 of 69
Documents 2
GDP.pdfAA all-pass Models reason over professional PDF documents; an attempt passes only when every atomic criterion passes 10.4% #58 of 133
AA-LCR (long context)1.1 Questions that need reading and connecting facts across very long documents (around 100K tokens) AA 78.3% #61 of 275
Legacy · saturated or no longer reported 11
GPQA Diamond Graduate-level biology, chemistry and physics questions that can’t be solved by a quick web search 89.5% #41 of 315+1 versions & slices Epoch Models answer graduate-level science multiple-choice questions Epoch 91.9% #19 of 133
OTIS Mock AIME 20242025 Models solve the stated OTIS mock AIME mathematics problems Epoch 86.4% #61 of 130
SWE-bench VerifiedEpoch Swe Bench Verified: Agents modify real repositories to resolve the stated Verified issues Epoch 78.7% #2 of 24
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 57% #1 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 69.5% #1 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 51.4% #1 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 52% #1 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 61.6% #1 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 73.3% #1 of 6
τ²-benchAA Tests service agents that use tools while coordinating with a simulated user AA 99.1% #1 of 245
No benchmark matches
CheaperGPT-6.1 Solmax+58%-51%$0.72Remove unsupported parameters+5
Claude Haiku 5.5max+27%-86%$0.21Remove sampling parameters+5
DeepSeek V4 Pro 0813maxOpen+9%-54%$0.67Memory (4-bit): 452 GB → 990 GB+5
Kimi K2.6unstatedOpen-3%-20%$0.95 / $4Context: 1M → 256K+1