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 42.8 #22 of 337
Knowledge 5
AA OmniscienceAccuracy AA Omniscience · Accuracy: Measures correct answers on the AA Omniscience factual knowledge test AA 41.9% #41 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 24% #16 of 321
AA Omniscience Index AA Omniscience Index: Scores factual knowledge while penalizing incorrect answers to encourage admitting uncertainty AA 28 #15 of 321
SimpleQA Verifiedv1 SimpleQA Verified v1: Accuracy on short factual questions with verified answers, answered without web access 52.9% #23 of 83
Mystery Game Puzzles Mystery Game Puzzles: Models choose the best move in puzzle positions from an undisclosed game Epoch 34% #19 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 94.8% #25 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 87.5% #28 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 67.4% #18 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 61.3% #23 of 66
ARC-AGI-3semi-private ARC-AGI-3 · semi-private: Measures interactive game solving through relative human action efficiency ARC 2.1% #8 of 18
Chess Puzzles Chess Puzzles: Models choose the best next move from a novel chess position Epoch 33% #40 of 68
Math 3
AA Analyst Agent AA Analyst Agent: Data-analyst tasks: the model explores data with tools and reports findings AA 41.3% #19 of 43
FrontierMath Tier 4 (v2) FrontierMath Tier 4 (v2): Models solve expert-written advanced mathematics problems on the named tier and edition Epoch 31.7% #25 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 66% #28 of 69
Science 5
Humanity's Last Exam Humanity's Last Exam: Very hard expert questions across many fields, written to stump today’s models AA 42.1% #37 of 337
CritPt (physics) CritPt (physics): Research-level physics problems that need many careful reasoning steps AA 17.7% #36 of 324
Vals Science Index Vals Science Index: Scientific problem solving across the index’s component evaluations Vals 38.1% #10 of 18
SciCode SciCode: Writing code for real scientific computing problems (physics, biology, math) AA 55.9% #24 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 6.2% #18 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 13.1% #33 of 132+1 versions & slices 2.1 Terminal-Bench 2.1 · source setting 2: Older, easier version of Terminal-Bench; Still widely reported AA 84.3% #13 of 156
DeepSWE1.1 DeepSWE 1.1: Agents change repository code to resolve software engineering tasks under the stated DeepSWE edition 67.5% #14 of 44
WebDev Arena WebDev Arena: Human pairwise preferences in the stated webdev vote pool Arena 1,617 #22 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 1,617 #22 of 97
Agents 7
AutomationBench-AA AutomationBench-AA: Agents orchestrate SaaS workflows through APIs; objectives receive credit only when the task has no guardrail violation AA 63.2% #12 of 133
AA-Briefcase1.1 · Elo AA-Briefcase 1.1 · Elo: Agents produce professional deliverables; blind pairwise comparisons produce the source Elo rating AA 1,483 #21 of 140
EnterpriseOps-Gym-AA EnterpriseOps-Gym-AA: Agents complete stateful enterprise workflows in eight domains; final database state determines success AA 48.3% #3 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 55.6 #18 of 175
EBR Bench EBR Bench: Agents learn to play Earthborne Rangers across repeated playthroughs Epoch 30.5% #13 of 24
Furniture Assembly Furniture Assembly: Models inspect furniture assembly photos, identify incorrect builds and locate the mistaken step Epoch 40% #17 of 31
τ³-BankingAA τ³-Banking · AA: Agents retrieve banking knowledge and execute tools to resolve customer-support workflows AA 44.3% #12 of 134
Multimodal 2
Chartography Chartography: Expert chart reasoning over professional scientific, medical, financial and engineering charts Surge 20.5% #21 of 37
Arena Vision Arena Vision · overall: Human pairwise preferences in the stated vision vote pool Arena 1,263 #37 of 88
Writing 16
Arena Textcreative writing Arena Text · creative writing: Human pairwise preferences in the stated text vote pool Arena 1,442 #35 of 195+14 versions & slices overall Arena Text · overall: Human pairwise preferences in the stated text vote pool Arena 1,454 #47 of 196Chinese Arena Text · chinese: Human pairwise preferences in the stated text vote pool Arena 1,475 #60 of 181English Arena Text · english: Human pairwise preferences in the stated text vote pool Arena 1,433 #72 of 188French Arena Text · french: Human pairwise preferences in the stated text vote pool Arena 1,457 #45 of 149German Arena Text · german: Human pairwise preferences in the stated text vote pool Arena 1,432 #49 of 154instruction following Arena Text · instruction following: Human pairwise preferences in the stated text vote pool Arena 1,431 #53 of 188Japanese Arena Text · japanese: Human pairwise preferences in the stated text vote pool Arena 1,380 #59 of 138Korean Arena Text · korean: Human pairwise preferences in the stated text vote pool Arena 1,396 #47 of 144non-English Arena Text · non english: Human pairwise preferences in the stated text vote pool Arena 1,419 #62 of 188Polish Arena Text · polish: Human pairwise preferences in the stated text vote pool Arena 1,430 #49 of 133Russian Arena Text · russian: Human pairwise preferences in the stated text vote pool Arena 1,422 #64 of 186Spanish Arena Text · spanish: Human pairwise preferences in the stated text vote pool Arena 1,404 #83 of 155overall · full cohort Arena Text · overall · snapshot 2026-10-15 · native board settings: Human pairwise preferences in the stated text vote pool Arena 1,428 #67 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 1,427 #43 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 -2.9 #40 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 12.2% #37 of 64
Vals LegalBench Vals LegalBench: Legal reasoning and legal-language understanding on LegalBench Vals 86.3% #11 of 89
Vals MedCode Vals MedCode: Medical coding accuracy on patient encounters Vals 44.7% #32 of 78
Vals MedScribe Vals MedScribe: Accuracy of clinical notes produced from consultation transcripts Vals 86.5% #20 of 80
Vals Legal Research Bench Vals Legal Research Bench: Grounded legal research; a task passes only if all criteria pass Vals 48.1% #8 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 81% #34 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 17.8% #30 of 133
Arena Document Arena Document · overall: Human pairwise preferences in the stated document vote pool Arena 1,452 #19 of 33
Legacy · saturated or no longer reported 3
GPQA Diamond GPQA Diamond: Graduate-level biology, chemistry and physics questions that can’t be solved by a quick web search 93.5% #8 of 315+1 versions & slices Epoch GPQA Diamond · source setting 2: Models answer graduate-level science multiple-choice questions Epoch 94% #10 of 133
OTIS Mock AIME 20242025 OTIS Mock AIME 2024 2025: Models solve the stated OTIS mock AIME mathematics problems Epoch 99.2% #13 of 130
No benchmark matches
CheaperMuse Spark 1.3max+15%-33%$1.60Only auto tool_choice is supported+5
OpenGLM 5.3unstatedsame-28%$1.40 / $4.40No image input+4
CheaperMiMo v2.6 ProunstatedOpensame-82%$0.43 / $0.87Pass back reasoning_content+3
CheaperDeepSeek V4.1 Flash 1017unstatedOpen-6%-83%$0.30 / $1.20Pass back reasoning_content · Chat Completions+4
Claude Fable 5.1unstated+15%+567%$10 / $50Replace forced tool_choice+5
Gemini 4 Argonunstated+14%+33%*$2 / $10Synchronous output stops at 65,536+2
Kimi K3unstatedOpen-4%+100%$3 / $15Sampling parameters are fixed+3
Hy4 previewOpen-6%-58%$0.83 / $2.50No image input