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 44.2 #19 of 337
Knowledge 5
AA OmniscienceAccuracy AA Omniscience · Accuracy: Measures correct answers on the AA Omniscience factual knowledge test AA 53.9% #13 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 58.9% #104 of 321
AA Omniscience Index AA Omniscience Index: Scores factual knowledge while penalizing incorrect answers to encourage admitting uncertainty AA 26.7 #18 of 321
SimpleQA Verifiedv1 SimpleQA Verified v1: Accuracy on short factual questions with verified answers, answered without web access 64.4% #12 of 83
Mystery Game Puzzles Mystery Game Puzzles: Models choose the best move in puzzle positions from an undisclosed game Epoch 56% #9 of 64
Reasoning 6
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 96.5% #17 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 92.7% #19 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 81.8% #16 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 78.1% #15 of 66
ARC-AGI-3semi-private ARC-AGI-3 · semi-private: Measures interactive game solving through relative human action efficiency ARC 1.8% #9 of 18
Chess Puzzles Chess Puzzles: Models choose the best next move from a novel chess position Epoch 56% #11 of 68
Math 9
FrontierMath Erdos FrontierMath Erdos: Models solve expert-written advanced mathematics problems on the named tier and edition Epoch 1.5% #5 of 13
FrontierMath Tier 4 (v2) FrontierMath Tier 4 (v2): Models solve expert-written advanced mathematics problems on the named tier and edition Epoch 90% #5 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 89.8% #5 of 69
MathArenaArXivMath · August 2026 MathArena · arxiv · 08/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 93% #2 of 12+5 versions & slices ArXivMath · June 2026 MathArena · arxiv · 06/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 91% #3 of 24ArXivMath · May 2026 MathArena · arxiv · 05/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 90% #3 of 19BrokenArXiv · August 2026 MathArena · arxiv_false · 08/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 78.6% #4 of 12BrokenArXiv · June 2026 MathArena · arxiv_false · 06/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 95.4% #4 of 24BrokenArXiv · May 2026 MathArena · arxiv_false · 05/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 87% #4 of 18
Science 5
Humanity's Last Exam Humanity's Last Exam: Very hard expert questions across many fields, written to stump today’s models AA 46.3% #20 of 337
CritPt (physics) CritPt (physics): Research-level physics problems that need many careful reasoning steps AA 28% #14 of 324
Vals Science Index Vals Science Index: Scientific problem solving across the index’s component evaluations Vals 45% #7 of 18
SciCode SciCode: Writing code for real scientific computing problems (physics, biology, math) AA 55.1% #26 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 17.6% #10 of 33
Coding 5
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 30.3% #22 of 132
DeepSWE1.1 DeepSWE 1.1: Agents change repository code to resolve software engineering tasks under the stated DeepSWE edition 70.5% #7 of 44
ITBench SRE ITBench SRE: IT incident tasks: diagnose and fix broken systems like a site-reliability engineer AA 49.4% #7 of 37
WebDev Arena WebDev Arena: Human pairwise preferences in the stated webdev vote pool Arena 1,683 #8 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 1,683 #8 of 97
Agents 8
AutomationBench-AA AutomationBench-AA: Agents orchestrate SaaS workflows through APIs; objectives receive credit only when the task has no guardrail violation AA 61.7% #15 of 133
AA-Briefcase1.1 · Elo AA-Briefcase 1.1 · Elo: Agents produce professional deliverables; blind pairwise comparisons produce the source Elo rating AA 1,357 #31 of 140
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 47.8 #31 of 175
EBR Bench EBR Bench: Agents learn to play Earthborne Rangers across repeated playthroughs Epoch 53.3% #6 of 24
Furniture Assembly Furniture Assembly: Models inspect furniture assembly photos, identify incorrect builds and locate the mistaken step Epoch 58.3% #8 of 31
SpireClimb SpireClimb: Agents play Slay the Spire under the named game and difficulty setting Epoch 7.5% #3 of 7
SpireClimb StS1 A20 Heart SpireClimb StS1 A20 Heart: Agents play Slay the Spire under the named game and difficulty setting Epoch 1.7% #3 of 7
SpireClimb StS2 A10 SpireClimb StS2 A10: Agents play Slay the Spire under the named game and difficulty setting Epoch 13.3% #3 of 7
Multimodal 3
MMMU-Pro (vision) MMMU-Pro (vision): College-level questions that require understanding images: charts, diagrams, photos AA 82.5% #9 of 127
Arena Vision Arena Vision · overall: Human pairwise preferences in the stated vision vote pool Arena 1,240 #51 of 88
Chartography Chartography: Expert chart reasoning over professional scientific, medical, financial and engineering charts Surge 53.6% #4 of 37
Writing 17
Arena Textcreative writing Arena Text · creative writing: Human pairwise preferences in the stated text vote pool Arena 1,438 #38 of 195+14 versions & slices overall Arena Text · overall: Human pairwise preferences in the stated text vote pool Arena 1,459 #41 of 196Chinese Arena Text · chinese: Human pairwise preferences in the stated text vote pool Arena 1,408 #103 of 181English Arena Text · english: Human pairwise preferences in the stated text vote pool Arena 1,397 #97 of 188French Arena Text · french: Human pairwise preferences in the stated text vote pool Arena 1,398 #90 of 149German Arena Text · german: Human pairwise preferences in the stated text vote pool Arena 1,377 #81 of 154instruction following Arena Text · instruction following: Human pairwise preferences in the stated text vote pool Arena 1,413 #69 of 188Japanese Arena Text · japanese: Human pairwise preferences in the stated text vote pool Arena 1,372 #63 of 138Korean Arena Text · korean: Human pairwise preferences in the stated text vote pool Arena 1,337 #83 of 144non-English Arena Text · non english: Human pairwise preferences in the stated text vote pool Arena 1,387 #87 of 188Polish Arena Text · polish: Human pairwise preferences in the stated text vote pool Arena 1,367 #85 of 133Russian Arena Text · russian: Human pairwise preferences in the stated text vote pool Arena 1,407 #75 of 186Spanish Arena Text · spanish: Human pairwise preferences in the stated text vote pool Arena 1,387 #95 of 155overall · full cohort Arena Text · overall · snapshot 2026-10-15 · native board settings: Human pairwise preferences in the stated text vote pool Arena 1,398 #91 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 1,380 #77 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 82.8% #6 of 95
EQ-Bench Creative Writingv3 Creative Writing v3 · Elo: Judge-rated creative writing under the v3 prompt set and pairwise ranking EQ-Bench 2,125 #4 of 91
Health & law 5
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 3.6% #11 of 23
MLCR-AA MLCR-AA: Models synthesize long medical records; the headline credits concise answers judged both accurate and complete AA 16.1% #30 of 64
Vals MedCode Vals MedCode: Medical coding accuracy on patient encounters Vals 47.1% #29 of 78
Vals MedScribe Vals MedScribe: Accuracy of clinical notes produced from consultation transcripts Vals 82% #44 of 80
Vals Legal Research Bench Vals Legal Research Bench: Grounded legal research; a task passes only if all criteria pass Vals 28.9% #42 of 69
Documents 2
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 81.3% #32 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 24.6% #10 of 133
Legacy · saturated or no longer reported 2
GPQA DiamondEpoch GPQA Diamond · source setting 2: Models answer graduate-level science multiple-choice questions Epoch 94.3% #8 of 133
OTIS Mock AIME 20242025 OTIS Mock AIME 2024 2025: Models solve the stated OTIS mock AIME mathematics problems Epoch 100% #1 of 130
No benchmark matches
BetterMiMo v2.6 ProthinkingOpen+7%-74%$0.13Context: 1.05M → 1M+4
CheaperMiniMax M3.1 Flashthinking+4%-58%$0.22Context: 1.05M → 1M+1
CheaperClaude Haiku 5.5max-4%-59%$0.21Context: 1.05M → 1M+6
DeepSeek V4.1 Flash 1017maxOpen-6%-50%$0.26Context: 1.05M → 1M+5
Muse Spark 1.3max+5%+208%$1.60Context: 1.05M → 1M+6
Kimi K3maxOpensame+284%$2.00Context: 1.05M → 1M+4
Step 5 PreviewthinkingOpensame+97%$1.03Context: 1.05M → 1M+3