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 16.1 #139 of 337
Knowledge 4
AA OmniscienceAccuracy AA Omniscience · Accuracy: Measures correct answers on the AA Omniscience factual knowledge test AA 39.1% #50 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 90.9% #258 of 321
AA Omniscience Index AA Omniscience Index: Scores factual knowledge while penalizing incorrect answers to encourage admitting uncertainty AA -16.4 #110 of 321
IFBench (instructions) IFBench (instructions): Checks whether the model follows precise formatting and content instructions AA 48.7% #122 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 56.4% #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 41% #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 5.1% #47 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 4.9% #49 of 66
Math 20
FrontierMath FrontierMath: Models solve expert-written advanced mathematics problems on the named tier and edition Epoch 14.1% #24 of 40
FrontierMath Tier4 FrontierMath Tier 4: Models solve expert-written advanced mathematics problems on the named tier and edition Epoch 4.2% #16 of 33
FrontierMath Tier 4 (v2) FrontierMath Tier 4 (v2): Models solve expert-written advanced mathematics problems on the named tier and edition Epoch 0% #53 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 24.6% #60 of 69
MathArenaAIME 2025 MathArena · aime · AIME 2025: Answer accuracy on the named mathematics competition under the recorded effort MathArena 88.3% #15 of 30+15 versions & slices Apex MathArena · apex · Apex: Answer accuracy on the named mathematics competition under the recorded effort MathArena 0.5% #31 of 34BRUMO 2025 MathArena · brumo · BRUMO 2025: Answer accuracy on the named mathematics competition under the recorded effort MathArena 90% #14 of 24CMIMC 2025 MathArena · cmimc · CMIMC 2025: Answer accuracy on the named mathematics competition under the recorded effort MathArena 58.1% #21 of 22Project Euler MathArena · euler · Project Euler: Answer accuracy on the named mathematics competition under the recorded effort MathArena 26.7% #11 of 11HMMT February 2025 MathArena · hmmt · HMMT Feb 2025: Answer accuracy on the named mathematics competition under the recorded effort MathArena 82.5% #13 of 30HMMT November 2025 MathArena · hmmt · HMMT Nov 2025: Answer accuracy on the named mathematics competition under the recorded effort MathArena 80% #12 of 14IMO 2025 MathArena · imo · IMO 2025: Answer accuracy on the named mathematics competition under the recorded effort MathArena 31.6% #2 of 4Kangaroo 2025 1-2 MathArena · kangaroo · Kangaroo 2025 1-2: Answer accuracy on the named mathematics competition under the recorded effort MathArena 64.6% #14 of 17Kangaroo 2025 11-12 MathArena · kangaroo · Kangaroo 2025 11-12: Answer accuracy on the named mathematics competition under the recorded effort MathArena 89.2% #13 of 17Kangaroo 2025 3-4 MathArena · kangaroo · Kangaroo 2025 3-4: Answer accuracy on the named mathematics competition under the recorded effort MathArena 64.6% #12 of 17Kangaroo 2025 5-6 MathArena · kangaroo · Kangaroo 2025 5-6: Answer accuracy on the named mathematics competition under the recorded effort MathArena 66.7% #13 of 17Kangaroo 2025 7-8 MathArena · kangaroo · Kangaroo 2025 7-8: Answer accuracy on the named mathematics competition under the recorded effort MathArena 82.5% #14 of 16Kangaroo 2025 9-10 MathArena · kangaroo · Kangaroo 2025 9-10: Answer accuracy on the named mathematics competition under the recorded effort MathArena 95.8% #9 of 16SMT 2025 MathArena · smt · SMT 2025: Answer accuracy on the named mathematics competition under the recorded effort MathArena 84.9% #14 of 24USAMO 2025 MathArena · usamo · USAMO 2025: Answer accuracy on the named mathematics competition under the recorded effort MathArena 24.4% #2 of 3
Science 3
Humanity's Last Exam Humanity's Last Exam: Very hard expert questions across many fields, written to stump today’s models AA 22.5% #111 of 337
CritPt (physics) CritPt (physics): Research-level physics problems that need many careful reasoning steps AA 2.6% #97 of 324
SciCode SciCode: Writing code for real scientific computing problems (physics, biology, math) AA 46.3% #68 of 140
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 0% #75 of 132+1 versions & slices 2.1 Terminal-Bench 2.1 · source setting 2: Older, easier version of Terminal-Bench; Still widely reported AA 28.5% #99 of 156
WebDev Arena WebDev Arena: Human pairwise preferences in the stated webdev vote pool Arena 1,226 #94 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 1,226 #94 of 97
Terminal-Bench Hard Terminal-Bench Hard (version unstated): Agents solve difficult software, system-administration and data-processing tasks in a terminal AA 26.5% #68 of 242
Agents 5
AutomationBench-AA AutomationBench-AA: Agents orchestrate SaaS workflows through APIs; objectives receive credit only when the task has no guardrail violation AA 2.2% #96 of 133
AA-Briefcase1.1 · Elo AA-Briefcase 1.1 · Elo: Agents produce professional deliverables; blind pairwise comparisons produce the source Elo rating AA 302 #110 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 0 #122 of 175
τ³-benchbanking · 1.0.1 τ-bench official · 3-banking-1.0.1: Customer-service agents converse with simulated users, retrieve domain knowledge and change state through tools Sierra 13.7% #19 of 21
τ³-BankingAA τ³-Banking · AA: Agents retrieve banking knowledge and execute tools to resolve customer-support workflows AA 9.7% #92 of 134
Multimodal 2
MMMU-Pro (vision) MMMU-Pro (vision): College-level questions that require understanding images: charts, diagrams, photos AA 74.9% #52 of 127
Arena Vision Arena Vision · overall: Human pairwise preferences in the stated vision vote pool Arena 1,263 #36 of 88
Writing 15
Arena Textcreative writing Arena Text · creative writing: Human pairwise preferences in the stated text vote pool Arena 1,443 #34 of 195+14 versions & slices overall Arena Text · overall: Human pairwise preferences in the stated text vote pool Arena 1,445 #57 of 196Chinese Arena Text · chinese: Human pairwise preferences in the stated text vote pool Arena 1,507 #34 of 181English Arena Text · english: Human pairwise preferences in the stated text vote pool Arena 1,458 #36 of 188French Arena Text · french: Human pairwise preferences in the stated text vote pool Arena 1,472 #28 of 149German Arena Text · german: Human pairwise preferences in the stated text vote pool Arena 1,487 #12 of 154instruction following Arena Text · instruction following: Human pairwise preferences in the stated text vote pool Arena 1,436 #49 of 188Japanese Arena Text · japanese: Human pairwise preferences in the stated text vote pool Arena 1,461 #15 of 138Korean Arena Text · korean: Human pairwise preferences in the stated text vote pool Arena 1,435 #21 of 144non-English Arena Text · non english: Human pairwise preferences in the stated text vote pool Arena 1,451 #27 of 188Polish Arena Text · polish: Human pairwise preferences in the stated text vote pool Arena 1,479 #11 of 133Russian Arena Text · russian: Human pairwise preferences in the stated text vote pool Arena 1,460 #28 of 186Spanish Arena Text · spanish: Human pairwise preferences in the stated text vote pool Arena 1,473 #15 of 155overall · full cohort Arena Text · overall · snapshot 2026-10-15 · native board settings: Human pairwise preferences in the stated text vote pool Arena 1,458 #31 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 1,454 #22 of 187
Health & law 2
Vals MedCode Vals MedCode: Medical coding accuracy on patient encounters Vals 50.6% #14 of 78
Vals MedScribe Vals MedScribe: Accuracy of clinical notes produced from consultation transcripts Vals 73.6% #63 of 80
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 69% #131 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 10.2% #59 of 133
Arena Document Arena Document · overall: Human pairwise preferences in the stated document vote pool Arena 1,421 #28 of 33
Other 1
AA Speech to textRecorded audio word error rate AA Speech-to-Text · Non-streaming WER (version unstated): Measures transcription errors as a share of reference words in the non-streaming test AA 2.9% #13 of 55
Legacy · saturated or no longer reported 13
AIME2025 · AA archived AIME 2025 · AA archived: AA evaluates the 30 integer-answer problems from the 2025 AIME mathematics competition AA 87.7% #26 of 140
LiveCodeBenchAA archived LiveCodeBench · AA archived: AA evaluates solutions to newly collected competitive-programming problems AA 80.1% #16 of 153
GPQA Diamond GPQA Diamond: Graduate-level biology, chemistry and physics questions that can’t be solved by a quick web search 84.4% #88 of 315+1 versions & slices Epoch GPQA Diamond · source setting 2: Models answer graduate-level science multiple-choice questions Epoch 85.3% #56 of 133
OTIS Mock AIME 20242025 OTIS Mock AIME 2024 2025: Models solve the stated OTIS mock AIME mathematics problems Epoch 84.2% #66 of 130
SWE-bench VerifiedEpoch Swe Bench Verified: Agents modify real repositories to resolve the stated Verified issues Epoch 57.6% #22 of 24
SWE-rebenchall · 2025-07-01 to 2025-11-01 SWE-rebench · all · 2025-07-01 to 2025-11-01: Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 23.5% #1 of 2+5 versions & slices Go · 2025-07-01 to 2025-11-01 SWE-rebench · go · 2025-07-01 to 2025-11-01: Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 0% #1 of 2Java · 2025-07-01 to 2025-11-01 SWE-rebench · java · 2025-07-01 to 2025-11-01: Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 0% #1 of 2Python · 2025-07-01 to 2025-11-01 SWE-rebench · python · 2025-07-01 to 2025-11-01: Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 23.5% #1 of 2Rust · 2025-07-01 to 2025-11-01 SWE-rebench · rust · 2025-07-01 to 2025-11-01: Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 0% #1 of 2TypeScript · 2025-07-01 to 2025-11-01 SWE-rebench · typescript · 2025-07-01 to 2025-11-01: Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 0% #1 of 2
τ²-benchAA τ²-Bench: Tests service agents that use tools while coordinating with a simulated user AA 54.1% #107 of 245
No benchmark matches
CheaperGPT-6.1 Solmedium×3-35%$0.21Remove unsupported parameters+5
OpenMiMo v2.6 Prothinking×2.9-60%$0.13Pass back reasoning_content+3
CheaperDeepSeek V4.1 Flash 1017maxOpen×2.8-21%$0.26Pass back reasoning_content · Chat Completions+4
CheaperClaude Haiku 5.5max×2.7-36%$0.21Remove sampling parameters+5
MiniMax M3.1 Flashthinking×2.7-33%$0.22Complete model response must be appended
GLM 5.3maxOpen×2.8+507%$2.01No image input+4
Step 5 PreviewthinkingOpen×2.7+211%$1.03No web search+3
Kimi K3maxOpen×2.7+506%$2.00Sampling parameters are fixed+3