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 24.7 #87 of 337
Knowledge 7
AA OmniscienceAccuracy Measures correct answers on the AA Omniscience factual knowledge test AA 38.6% #51 of 321+1 versions & slices Hallucination Rate Measures how often attempted answers are incorrect on the AA Omniscience factual knowledge test AA 68.5% #127 of 321
AA Omniscience Index Scores factual knowledge while penalizing incorrect answers to encourage admitting uncertainty AA -3.6 #78 of 321
IFBench (instructions) Checks whether the model follows precise formatting and content instructions AA 41.2% #154 of 248
EQ-Bench3 Judge-rated responses to social and emotionally nuanced scenarios, scored through the source pairwise ranking EQ-Bench 1,714 #5 of 50
SimpleQA Verifiedv1 Accuracy on short factual questions with verified answers, answered without web access 35.5% #46 of 83
Mystery Game Puzzles Models choose the best move in puzzle positions from an undisclosed game Epoch 16% #49 of 64
Reasoning 5
ARC-AGI-1public evaluation Models infer transformations from examples and solve unseen grid puzzles; the evaluation split is explicit ARC 95.8% #21 of 61+1 versions & slices semi-private Models infer transformations from examples and solve unseen grid puzzles; the evaluation split is explicit ARC 86.5% #32 of 64
ARC-AGI-2public evaluation Models infer transformations from examples and solve unseen grid puzzles; the evaluation split is explicit ARC 65.7% #20 of 63+1 versions & slices semi-private Models infer transformations from examples and solve unseen grid puzzles; the evaluation split is explicit ARC 60.4% #26 of 66
Chess Puzzles Models choose the best next move from a novel chess position Epoch 23% #45 of 68
Math 1
AA Analyst Agent Data-analyst tasks: the model explores data with tools and reports findings AA 20% #30 of 43
Science 3
Humanity's Last Exam Very hard expert questions across many fields, written to stump today’s models AA 13.3% #153 of 337
CritPt (physics) Research-level physics problems that need many careful reasoning steps AA 0.9% #129 of 324
SciCode Writing code for real scientific computing problems (physics, biology, math) AA 50.1% #50 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 3% #46 of 132+1 versions & slices 2.1 Older, easier version of Terminal-Bench; Still widely reported AA 71.2% #34 of 156
DeepSWE1.1 Agents change repository code to resolve software engineering tasks under the stated DeepSWE edition 29.9% #33 of 44+1 versions & slices 1 Agents change repository code to resolve software engineering tasks under the stated DeepSWE edition Datacurve 31.8% #6 of 20
ITBench SRE IT incident tasks: diagnose and fix broken systems like a site-reliability engineer AA 39.8% #19 of 37
WebDev Arena Human pairwise preferences in the stated webdev vote pool Arena 1,523 #42 of 97+1 versions & slices full cohort Human pairwise preferences in the stated webdev vote pool Arena 1,523 #42 of 97
Terminal-Bench Hard Agents solve difficult software, system-administration and data-processing tasks in a terminal AA 46.2% #18 of 242
Agents 7
AutomationBench-AA Agents orchestrate SaaS workflows through APIs; objectives receive credit only when the task has no guardrail violation AA 20.1% #61 of 133
AA-Briefcase1.1 · Elo Agents produce professional deliverables; blind pairwise comparisons produce the source Elo rating AA 1,063 #51 of 140
APEX-Agents Agents complete long-horizon professional-services tasks across realistic applications AA 28% #14 of 29
GDPval-AA (work tasks)2.1 Real work tasks from many professions (reports, spreadsheets, analyses), graded against expert work AA 36.6 #50 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 72.8% #8 of 16
MCP-Atlasfull 1000 Tool orchestration across MCP servers on the stated task split Scale 69.5% #8 of 16
τ³-BankingAA Agents retrieve banking knowledge and execute tools to resolve customer-support workflows AA 34.4% #28 of 134
Multimodal 2
MMMU-Pro (vision) College-level questions that require understanding images: charts, diagrams, photos AA 70.6% #67 of 127
Arena Vision Human pairwise preferences in the stated vision vote pool Arena 1,283 #22 of 88
Writing 17
Arena Textcreative writing Human pairwise preferences in the stated text vote pool Arena 1,449 #27 of 195+14 versions & slices overall Human pairwise preferences in the stated text vote pool Arena 1,472 #31 of 196Chinese Human pairwise preferences in the stated text vote pool Arena 1,492 #49 of 181English Human pairwise preferences in the stated text vote pool Arena 1,472 #26 of 188French Human pairwise preferences in the stated text vote pool Arena 1,465 #39 of 149German Human pairwise preferences in the stated text vote pool Arena 1,428 #50 of 154instruction following Human pairwise preferences in the stated text vote pool Arena 1,476 #20 of 188Japanese Human pairwise preferences in the stated text vote pool Arena 1,420 #33 of 138Korean Human pairwise preferences in the stated text vote pool Arena 1,411 #35 of 144non-English Human pairwise preferences in the stated text vote pool Arena 1,440 #34 of 188Polish Human pairwise preferences in the stated text vote pool Arena 1,442 #32 of 133Russian Human pairwise preferences in the stated text vote pool Arena 1,439 #43 of 186Spanish Human pairwise preferences in the stated text vote pool Arena 1,464 #26 of 155overall · full cohort Human pairwise preferences in the stated text vote pool Arena 1,458 #30 of 188creative writing · full cohort Human pairwise preferences in the stated text vote pool Arena 1,435 #37 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 79.9% #15 of 95
EQ-Bench Creative Writingv3 Creative Writing v3 · Elo: Judge-rated creative writing under the v3 prompt set and pairwise ranking EQ-Bench 1,810 #23 of 91
Health & law 3
MLCR-AA Models synthesize long medical records; the headline credits concise answers judged both accurate and complete AA 20% #21 of 64
Vals LegalBench Legal reasoning and legal-language understanding on LegalBench Vals 82.1% #54 of 89
Vals Legal Research Bench Grounded legal research; a task passes only if all criteria pass Vals 38.5% #28 of 69
Documents 3
AA-LCR (long context)1.1 Questions that need reading and connecting facts across very long documents (around 100K tokens) AA 68.3% #132 of 275
GDP.pdfAA all-pass Models reason over professional PDF documents; an attempt passes only when every atomic criterion passes 15.8% #36 of 133
Arena Document Human pairwise preferences in the stated document vote pool Arena 1,482 #8 of 33
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 79.9% #116 of 315+1 versions & slices Epoch Models answer graduate-level science multiple-choice questions Epoch 83.3% #60 of 133
OTIS Mock AIME 20242025 Models solve the stated OTIS mock AIME mathematics problems Epoch 82.2% #68 of 130
SWE-bench VerifiedEpoch Swe Bench Verified: Agents modify real repositories to resolve the stated Verified issues Epoch 75.2% #11 of 24
SWE-rebenchall · 2026-02-01 to 2026-05-15 Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 54.5% #3 of 4+5 versions & slices Go · 2026-02-01 to 2026-05-15 Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 0% #1 of 4Java · 2026-02-01 to 2026-05-15 Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 0% #1 of 4Python · 2026-02-01 to 2026-05-15 Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 54.5% #3 of 4Rust · 2026-02-01 to 2026-05-15 Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 0% #1 of 4TypeScript · 2026-02-01 to 2026-05-15 Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 0% #1 of 4
τ²-benchAA Tests service agents that use tools while coordinating with a simulated user AA 79.5% #82 of 245
No benchmark matches
CheaperGPT-5.6 Terraxhigh+36%-25%$0.63Prompts with >272K input tokens
OpenGLM 5.2max+10%-64%$1.47No image input
CheaperGemini 3.1 Pro Previewthinking+16%-25%$1.30Cannot use both thinking controls
Qwen3.7 Maxthinking+10%-63%$1.15No image input
Kimi K2.7 CodethinkingOpen-3%-71%$0.54Context: 1M → 256K+1
MiMo v2.5 ProthinkingOpen-7%-91%$0.054No image input