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 48.9 #10 of 337
Knowledge 5
AA OmniscienceAccuracy AA Omniscience · Accuracy: Measures correct answers on the AA Omniscience factual knowledge test AA 63.1% #3 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 69.1% #131 of 321
AA Omniscience Index AA Omniscience Index: Scores factual knowledge while penalizing incorrect answers to encourage admitting uncertainty AA 37.6 #6 of 321
SimpleQA Verifiedv1 SimpleQA Verified v1: Accuracy on short factual questions with verified answers, answered without web access 70.8% #7 of 83
Mystery Game Puzzles Mystery Game Puzzles: Models choose the best move in puzzle positions from an undisclosed game Epoch 58% #7 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 96.6% #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 94.5% #15 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 87.5% #15 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 86.3% #10 of 66
Chess Puzzles Chess Puzzles: Models choose the best next move from a novel chess position Epoch 48% #15 of 68
Math 11 Leads on 1
AA Analyst Agent AA Analyst Agent: Data-analyst tasks: the model explores data with tools and reports findings AA 57.5% #1 of 43
FrontierMath Erdos FrontierMath Erdos: Models solve expert-written advanced mathematics problems on the named tier and edition Epoch 0% #6 of 13
FrontierMath Tier 4 (v2) FrontierMath Tier 4 (v2): Models solve expert-written advanced mathematics problems on the named tier and edition Epoch 87.8% #6 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 90.2% #4 of 69
MathArenaArXivMath · April 2026 MathArena · arxiv · 04/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 77.5% #2 of 17+6 versions & slices ArXivMath · August 2026 MathArena · arxiv · 08/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 87.7% #4 of 12ArXivMath · 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 87.5% #4 of 19BrokenArXiv · August 2026 MathArena · arxiv_false · 08/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 79.8% #3 of 12BrokenArXiv · June 2026 MathArena · arxiv_false · 06/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 86.6% #6 of 24BrokenArXiv · May 2026 MathArena · arxiv_false · 05/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 78% #5 of 18
Science 4
Humanity's Last Exam Humanity's Last Exam: Very hard expert questions across many fields, written to stump today’s models AA 53.8% #7 of 337
CritPt (physics) CritPt (physics): Research-level physics problems that need many careful reasoning steps AA 29.1% #11 of 324
SciCode SciCode: Writing code for real scientific computing problems (physics, biology, math) AA 56.4% #22 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 43.3% #6 of 33
Coding 9
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 44.9% #9 of 132+1 versions & slices 2.1 Terminal-Bench 2.1 · source setting 2: Older, easier version of Terminal-Bench; Still widely reported AA 88% #6 of 156
FrontierCode1.1 FrontierCode 1.1: Agents implement changes in real repositories, graded against maintainer-defined requirements AA 49% #3 of 28
ITBench SRE ITBench SRE: IT incident tasks: diagnose and fix broken systems like a site-reliability engineer AA 49.5% #6 of 37
WebDev Arena WebDev Arena: Human pairwise preferences in the stated webdev vote pool Arena 1,743 #5 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 1,743 #5 of 97
SWE-bench Pro (v2 full) SWE-bench Pro (v2 full): Agents resolve repository issues under the network-locked v2 protocol; full and 51-task Hard results are separate Scale 99.1% #3 of 16
SWE-bench Pro (v2 hard) SWE-bench Pro (v2 hard): Agents resolve repository issues under the network-locked v2 protocol; full and 51-task Hard results are separate Scale 92.2% #2 of 16
MirrorCode MirrorCode: Agents reimplement software projects by observing their behavior Epoch 73.3% #2 of 9
Agents 9
AutomationBench-AA AutomationBench-AA: Agents orchestrate SaaS workflows through APIs; objectives receive credit only when the task has no guardrail violation AA 54.7% #30 of 133
AA-Briefcase1.1 · Elo AA-Briefcase 1.1 · Elo: Agents produce professional deliverables; blind pairwise comparisons produce the source Elo rating AA 1,528 #16 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 52.3 #25 of 175
EBR Bench EBR Bench: Agents learn to play Earthborne Rangers across repeated playthroughs Epoch 57.1% #4 of 24
Furniture Assembly Furniture Assembly: Models inspect furniture assembly photos, identify incorrect builds and locate the mistaken step Epoch 70% #6 of 31
SpireClimb SpireClimb: Agents play Slay the Spire under the named game and difficulty setting Epoch 2% #5 of 7
SpireClimb StS1 A20 Heart SpireClimb StS1 A20 Heart: Agents play Slay the Spire under the named game and difficulty setting Epoch 0% #4 of 7
SpireClimb StS2 A10 SpireClimb StS2 A10: Agents play Slay the Spire under the named game and difficulty setting Epoch 4% #5 of 7
τ³-BankingAA τ³-Banking · AA: Agents retrieve banking knowledge and execute tools to resolve customer-support workflows AA 41% #15 of 134
Multimodal 2
Chartography Chartography: Expert chart reasoning over professional scientific, medical, financial and engineering charts Surge 46.2% #5 of 37
Arena Vision Arena Vision · overall: Human pairwise preferences in the stated vision vote pool Arena 1,319 #4 of 88
Writing 18 Leads on 1
Arena Textcreative writing Arena Text · creative writing: Human pairwise preferences in the stated text vote pool Arena 1,485 #7 of 195+14 versions & slices overall Arena Text · overall: Human pairwise preferences in the stated text vote pool Arena 1,502 #6 of 196Chinese Arena Text · chinese: Human pairwise preferences in the stated text vote pool Arena 1,586 #2 of 181English Arena Text · english: Human pairwise preferences in the stated text vote pool Arena 1,505 #6 of 188French Arena Text · french: Human pairwise preferences in the stated text vote pool Arena 1,527 #1 of 149German Arena Text · german: Human pairwise preferences in the stated text vote pool Arena 1,502 #4 of 154instruction following Arena Text · instruction following: Human pairwise preferences in the stated text vote pool Arena 1,517 #5 of 188Japanese Arena Text · japanese: Human pairwise preferences in the stated text vote pool Arena 1,560 #1 of 138Korean Arena Text · korean: Human pairwise preferences in the stated text vote pool Arena 1,521 #1 of 144non-English Arena Text · non english: Human pairwise preferences in the stated text vote pool Arena 1,507 #2 of 188Polish Arena Text · polish: Human pairwise preferences in the stated text vote pool Arena 1,524 #1 of 133Russian Arena Text · russian: Human pairwise preferences in the stated text vote pool Arena 1,519 #4 of 186Spanish Arena Text · spanish: Human pairwise preferences in the stated text vote pool Arena 1,521 #1 of 155overall · full cohort Arena Text · overall · snapshot 2026-10-15 · native board settings: Human pairwise preferences in the stated text vote pool Arena 1,512 #3 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 1,508 #3 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 85.3% #2 of 95
EQ-Bench Creative Writingv3 Creative Writing v3 · Elo: Judge-rated creative writing under the v3 prompt set and pairwise ranking EQ-Bench 2,162 #2 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 3.8 #1 of 44
Health & law 6 Leads on 1
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 6.4% #7 of 23
MLCR-AA MLCR-AA: Models synthesize long medical records; the headline credits concise answers judged both accurate and complete AA 71.1% #2 of 64
Vals LegalBench Vals LegalBench: Legal reasoning and legal-language understanding on LegalBench Vals 88.5% #2 of 89
Vals MedCode Vals MedCode: Medical coding accuracy on patient encounters Vals 53.5% #7 of 78
Vals MedScribe Vals MedScribe: Accuracy of clinical notes produced from consultation transcripts Vals 91.3% #2 of 80
Vals Legal Research Bench Vals Legal Research Bench: Grounded legal research; a task passes only if all criteria pass Vals 55.3% #1 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 84.7% #4 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 26.8% #7 of 133
Arena Document Arena Document · overall: Human pairwise preferences in the stated document vote pool Arena 1,513 #2 of 33
Legacy · saturated or no longer reported 2
GPQA Diamond GPQA Diamond: Graduate-level biology, chemistry and physics questions that can’t be solved by a quick web search 88.6% #48 of 315
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
BetterGPT-6.1 Solxhigh+4%-87%$0.39Remove unsupported parameters+5
OpenMiMo v2.6 Prothinking-5%-96%$0.13Pass back reasoning_content+3
CheaperGemini 4 Argonhigh+7%-33%*$1.99Synchronous output stops at 65,536+2
DeepSeek V4.1 Flash 1017maxOpen-8%-91%$0.26Pass back reasoning_content · Chat Completions+4
GLM 5.3maxOpen-8%-33%$2.01No image input+4
Step 5 PreviewthinkingOpen-11%-66%$1.03web_search not available · Chat Completions+2
Kimi K3maxOpen-11%-33%$2.00Sampling parameters are fixed+3