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 27.9 #65 of 337
Knowledge 5
AA OmniscienceAccuracy AA Omniscience · Accuracy: Measures correct answers on the AA Omniscience factual knowledge test AA 26.3% #101 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 35.3% #50 of 321
AA Omniscience Index AA Omniscience Index: Scores factual knowledge while penalizing incorrect answers to encourage admitting uncertainty AA 0.3 #69 of 321
IFBench (instructions) IFBench (instructions): Checks whether the model follows precise formatting and content instructions AA 72.3% #38 of 248
EQ-Bench3 EQ-Bench 3: Judge-rated responses to social and emotionally nuanced scenarios, scored through the source pairwise ranking EQ-Bench 1,526 #19 of 50
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 58.6% #49 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 44.7% #52 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% #45 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 19
MathArenaAIME 2026 MathArena · AIME 2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 96.7% #6 of 24+16 versions & slices HMMT February 2026 MathArena · HMMT February 2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 86.4% #19 of 24AIME 2025 MathArena · aime · AIME 2025: Answer accuracy on the named mathematics competition under the recorded effort MathArena 96.7% #3 of 30Apex MathArena · apex · Apex: Answer accuracy on the named mathematics competition under the recorded effort MathArena 10.9% #18 of 34Apex Shortlist MathArena · apex · Apex Shortlist: Answer accuracy on the named mathematics competition under the recorded effort MathArena 68.6% #15 of 30ArXivMath · December 2025 MathArena · arxiv · 12/2025: Answer accuracy on the named mathematics competition under the recorded effort MathArena 38.2% #10 of 13ArXivMath · February 2026 MathArena · arxiv · 02/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 41.4% #10 of 20ArXivMath · January 2026 MathArena · arxiv · 01/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 54.4% #12 of 18ArXivMath · March 2026 MathArena · arxiv · 03/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 45.8% #12 of 14BrokenArXiv · February 2026 MathArena · arxiv_false · 02/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 11.7% #9 of 15BrokenArXiv · March 2026 MathArena · arxiv_false · 03/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 12.1% #8 of 13BRUMO 2025 MathArena · brumo · BRUMO 2025: Answer accuracy on the named mathematics competition under the recorded effort MathArena 99.2% #2 of 24CMIMC 2025 MathArena · cmimc · CMIMC 2025: Answer accuracy on the named mathematics competition under the recorded effort MathArena 93.1% #4 of 22HMMT February 2025 MathArena · hmmt · HMMT Feb 2025: Answer accuracy on the named mathematics competition under the recorded effort MathArena 97.5% #2 of 30HMMT November 2025 MathArena · hmmt · HMMT Nov 2025: Answer accuracy on the named mathematics competition under the recorded effort MathArena 94.2% #2 of 14SMT 2025 MathArena · smt · SMT 2025: Answer accuracy on the named mathematics competition under the recorded effort MathArena 91% #4 of 24USAMO 2026 MathArena · usamo · USAMO 2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 35.1% #8 of 8
FrontierMath FrontierMath: Models solve expert-written advanced mathematics problems on the named tier and edition Epoch 16.4% #23 of 40
FrontierMath Tier4 FrontierMath Tier 4: Models solve expert-written advanced mathematics problems on the named tier and edition Epoch 2.1% #22 of 33
Science 2
Humanity's Last Exam Humanity's Last Exam: Very hard expert questions across many fields, written to stump today’s models AA 29.3% #84 of 337
CritPt (physics) CritPt (physics): Research-level physics problems that need many careful reasoning steps AA 2% #105 of 324
Coding 4
DeepSWE1.1 DeepSWE 1.1: Agents change repository code to resolve software engineering tasks under the stated DeepSWE edition 2.1% #39 of 44
WebDev Arena WebDev Arena: Human pairwise preferences in the stated webdev vote pool Arena 1,435 #58 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 1,435 #58 of 97
Terminal-Bench Hard Terminal-Bench Hard (version unstated): Agents solve difficult software, system-administration and data-processing tasks in a terminal AA 43.2% #25 of 242
Agents 2
APEX-Agents APEX-Agents: Agents complete long-horizon professional-services tasks across realistic applications AA 14.5% #22 of 29
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 9.8% #20 of 21
Writing 17
Arena Textcreative writing Arena Text · creative writing: Human pairwise preferences in the stated text vote pool Arena 1,448 #28 of 195+14 versions & slices overall Arena Text · overall: Human pairwise preferences in the stated text vote pool Arena 1,457 #42 of 196Chinese Arena Text · chinese: Human pairwise preferences in the stated text vote pool Arena 1,511 #29 of 181English Arena Text · english: Human pairwise preferences in the stated text vote pool Arena 1,458 #38 of 188French Arena Text · french: Human pairwise preferences in the stated text vote pool Arena 1,455 #49 of 149German Arena Text · german: Human pairwise preferences in the stated text vote pool Arena 1,445 #42 of 154instruction following Arena Text · instruction following: Human pairwise preferences in the stated text vote pool Arena 1,428 #55 of 188Japanese Arena Text · japanese: Human pairwise preferences in the stated text vote pool Arena 1,416 #35 of 138Korean Arena Text · korean: Human pairwise preferences in the stated text vote pool Arena 1,422 #30 of 144non-English Arena Text · non english: Human pairwise preferences in the stated text vote pool Arena 1,430 #47 of 188Polish Arena Text · polish: Human pairwise preferences in the stated text vote pool Arena 1,435 #42 of 133Russian Arena Text · russian: Human pairwise preferences in the stated text vote pool Arena 1,436 #46 of 186Spanish Arena Text · spanish: Human pairwise preferences in the stated text vote pool Arena 1,454 #37 of 155overall · full cohort Arena Text · overall · snapshot 2026-10-15 · native board settings: Human pairwise preferences in the stated text vote pool Arena 1,446 #42 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 1,438 #36 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 70.9% #37 of 95
EQ-Bench Creative Writingv3 Creative Writing v3 · Elo: Judge-rated creative writing under the v3 prompt set and pairwise ranking EQ-Bench 1,601 #42 of 91
Health & law 1
Vals LegalBench Vals LegalBench: Legal reasoning and legal-language understanding on LegalBench Vals 84.1% #37 of 89
Documents 1
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 75.7% #86 of 275
Legacy · saturated or no longer reported 15
τ²-benchAA τ²-Bench: Tests service agents that use tools while coordinating with a simulated user AA 98.2% #8 of 245+4 versions & slices airline · 1.0.1 τ-bench official · 2-airline-1.0.1: Customer-service agents converse with simulated users, retrieve domain knowledge and change state through tools Sierra 82.5% #3 of 6overall · 1.0.1 τ-bench official · 2-overall-1.0.1: Customer-service agents converse with simulated users, retrieve domain knowledge and change state through tools Sierra 81% #5 of 6retail · 1.0.1 τ-bench official · 2-retail-1.0.1: Customer-service agents converse with simulated users, retrieve domain knowledge and change state through tools Sierra 73.7% #5 of 6telecom · 1.0.1 τ-bench official · 2-telecom-1.0.1: Customer-service agents converse with simulated users, retrieve domain knowledge and change state through tools Sierra 86.8% #5 of 6
GPQA Diamond GPQA Diamond: Graduate-level biology, chemistry and physics questions that can’t be solved by a quick web search 82% #107 of 315+1 versions & slices Epoch GPQA Diamond · source setting 2: Models answer graduate-level science multiple-choice questions Epoch 87.8% #47 of 133
OTIS Mock AIME 20242025 OTIS Mock AIME 2024 2025: Models solve the stated OTIS mock AIME mathematics problems Epoch 80% #71 of 130
SWE-bench VerifiedEpoch Swe Bench Verified: Agents modify real repositories to resolve the stated Verified issues Epoch 72.1% #17 of 24
SWE-rebenchall · 2026-01-01 to 2026-03-01 SWE-rebench · all · 2026-01-01 to 2026-03-01: Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 53.3% #1 of 5+5 versions & slices Go · 2026-01-01 to 2026-03-01 SWE-rebench · go · 2026-01-01 to 2026-03-01: Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 0% #1 of 5Java · 2026-01-01 to 2026-03-01 SWE-rebench · java · 2026-01-01 to 2026-03-01: Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 0% #1 of 5Python · 2026-01-01 to 2026-03-01 SWE-rebench · python · 2026-01-01 to 2026-03-01: Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 53.3% #1 of 5Rust · 2026-01-01 to 2026-03-01 SWE-rebench · rust · 2026-01-01 to 2026-03-01: Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 0% #1 of 5TypeScript · 2026-01-01 to 2026-03-01 SWE-rebench · typescript · 2026-01-01 to 2026-03-01: Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 0% #1 of 5
No benchmark matches
CheaperMiMo v2.6 ProthinkingOpen+66%-65%$0.13Memory (4-bit): 452 GB → 615 GB+4
BetterGPT-6 Lunamedium+7%-87%$0.017Function calling only with none · Chat Completions+3
CheaperDeepSeek V4.1 Flash 1017maxOpen+62%-66%$0.26Memory (4-bit): 452 GB → 458 GB+5
CheaperStep 5 PreviewthinkingOpen+57%-8%$1.03web_search not available · Chat Completions+2
CheaperClaude Haiku 5.5max+55%-87%$0.21Remove sampling parameters+5
MiniMax M3.1 Flashthinking+53%-83%$0.22Complete model response must be appended