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 19.7 #121 of 337
Knowledge 4
AA OmniscienceAccuracy AA Omniscience · Accuracy: Measures correct answers on the AA Omniscience factual knowledge test AA 36.5% #55 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 89.8% #248 of 321
AA Omniscience Index AA Omniscience Index: Scores factual knowledge while penalizing incorrect answers to encourage admitting uncertainty AA -20.6 #127 of 321
IFBench (instructions) IFBench (instructions): Checks whether the model follows precise formatting and content instructions AA 64.8% #71 of 248
Reasoning 4
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 55.4% #50 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 40.8% #53 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 5.4% #44 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 4.4% #52 of 66
Math 1
AA Analyst Agent AA Analyst Agent: Data-analyst tasks: the model explores data with tools and reports findings AA 15% #35 of 43
Science 3
Humanity's Last Exam Humanity's Last Exam: Very hard expert questions across many fields, written to stump today’s models AA 18.6% #129 of 337
CritPt (physics) CritPt (physics): Research-level physics problems that need many careful reasoning steps AA 2.9% #95 of 324
SciCode SciCode: Writing code for real scientific computing problems (physics, biology, math) AA 52.1% #40 of 140
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 2% #49 of 132+1 versions & slices 2.1 Terminal-Bench 2.1 · source setting 2: Older, easier version of Terminal-Bench; Still widely reported AA 59.2% #56 of 156
ITBench SRE ITBench SRE: IT incident tasks: diagnose and fix broken systems like a site-reliability engineer AA 35.2% #24 of 37
WebDev Arena WebDev Arena: Human pairwise preferences in the stated webdev vote pool Arena 1,397 #71 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 1,397 #71 of 97
DeepSWE1 DeepSWE 1: Agents change repository code to resolve software engineering tasks under the stated DeepSWE edition Datacurve 24.3% #8 of 20
Terminal-Bench Hard Terminal-Bench Hard (version unstated): Agents solve difficult software, system-administration and data-processing tasks in a terminal AA 34.1% #49 of 242
Agents 8
AutomationBench-AA AutomationBench-AA: Agents orchestrate SaaS workflows through APIs; objectives receive credit only when the task has no guardrail violation AA 26.2% #51 of 133
AA-Briefcase1.1 · Elo AA-Briefcase 1.1 · Elo: Agents produce professional deliverables; blind pairwise comparisons produce the source Elo rating AA 719 #82 of 140
APEX-Agents APEX-Agents: Agents complete long-horizon professional-services tasks across realistic applications AA 28.2% #13 of 29
EnterpriseOps-Gym-AA EnterpriseOps-Gym-AA: Agents complete stateful enterprise workflows in eight domains; final database state determines success AA 34.6% #29 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 25.6 #76 of 175
MCP-Atlas Public MCPAtlas Public: MCPAtlas Public as reported in this launch evaluation; the post is the authority for the recorded task and grading scope 61% #12 of 16
MCP-Atlasfull 1000 MCP-Atlas · full 1000: Tool orchestration across MCP servers on the stated task split Scale 56.7% #13 of 16
τ³-BankingAA τ³-Banking · AA: Agents retrieve banking knowledge and execute tools to resolve customer-support workflows AA 25.6% #41 of 134
Multimodal 2
MMMU-Pro (vision) MMMU-Pro (vision): College-level questions that require understanding images: charts, diagrams, photos AA 71.2% #67 of 127
Arena Vision Arena Vision · overall: Human pairwise preferences in the stated vision vote pool Arena 1,245 #48 of 88
Writing 17
Arena Textcreative writing Arena Text · creative writing: Human pairwise preferences in the stated text vote pool Arena 1,402 #67 of 195+14 versions & slices overall Arena Text · overall: Human pairwise preferences in the stated text vote pool Arena 1,447 #54 of 196Chinese Arena Text · chinese: Human pairwise preferences in the stated text vote pool Arena 1,446 #84 of 181English Arena Text · english: Human pairwise preferences in the stated text vote pool Arena 1,412 #91 of 188French Arena Text · french: Human pairwise preferences in the stated text vote pool Arena 1,440 #69 of 149German Arena Text · german: Human pairwise preferences in the stated text vote pool Arena 1,409 #66 of 154instruction following Arena Text · instruction following: Human pairwise preferences in the stated text vote pool Arena 1,405 #75 of 188Japanese Arena Text · japanese: Human pairwise preferences in the stated text vote pool Arena 1,375 #62 of 138Korean Arena Text · korean: Human pairwise preferences in the stated text vote pool Arena 1,371 #64 of 144non-English Arena Text · non english: Human pairwise preferences in the stated text vote pool Arena 1,405 #74 of 188Polish Arena Text · polish: Human pairwise preferences in the stated text vote pool Arena 1,415 #59 of 133Russian Arena Text · russian: Human pairwise preferences in the stated text vote pool Arena 1,417 #66 of 186Spanish Arena Text · spanish: Human pairwise preferences in the stated text vote pool Arena 1,404 #82 of 155overall · full cohort Arena Text · overall · snapshot 2026-10-15 · native board settings: Human pairwise preferences in the stated text vote pool Arena 1,411 #82 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 1,370 #83 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 73% #32 of 95
EQ-Bench Creative Writingv3 Creative Writing v3 · Elo: Judge-rated creative writing under the v3 prompt set and pairwise ranking EQ-Bench 1,665 #37 of 91
Health & law 2
MLCR-AA MLCR-AA: Models synthesize long medical records; the headline credits concise answers judged both accurate and complete AA 3.9% #51 of 64
Vals Legal Research Bench Vals Legal Research Bench: Grounded legal research; a task passes only if all criteria pass Vals 12.5% #59 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 67% #135 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 13.4% #43 of 133
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 82.3% #102 of 315
τ²-benchAA τ²-Bench: Tests service agents that use tools while coordinating with a simulated user AA 36.5% #133 of 245
No benchmark matches
CheaperMiMo v2.6 ProthinkingOpen×2.3-68%$0.13Pass back reasoning_content+3
CheaperDeepSeek V4.1 Flash 1017maxOpen×2.3-69%$0.26Pass back reasoning_content · Chat Completions+4
CheaperStep 5 PreviewthinkingOpen×2.2-16%$1.03web_search not available · Chat Completions+2
CheaperClaude Haiku 5.5max×2.2-88%$0.21Remove sampling parameters+5
MiniMax M3.1 Flashthinking×2.2-84%$0.22Complete model response must be appended
GLM 5.3maxOpen×2.3+27%$2.01No image input+4
Kimi K3maxOpen×2.2+256%$2.00Sampling parameters are fixed+3