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 23.5 #96 of 373
Knowledge 6
AA OmniscienceAccuracy Measures correct answers on the AA Omniscience factual knowledge test AA 35.2% #60 of 339+1 versions & slices Hallucination Rate Measures how often attempted answers are incorrect on the AA Omniscience factual knowledge test AA 65.7% #124 of 339
AA Omniscience Index Scores factual knowledge while penalizing incorrect answers to encourage admitting uncertainty AA -7.3 #89 of 339
IFBench (instructions) Checks whether the model follows precise formatting and content instructions AA 70.2% #50 of 271
EQ-Bench3 Judge-rated responses to social and emotionally nuanced scenarios, scored through the source pairwise ranking EQ-Bench 1,530 #16 of 53
SimpleQA Verifiedv1 Accuracy on short factual questions with verified answers, answered without web access 34.3% #50 of 84
Reasoning 4
ARC-AGI-1public evaluation Models infer transformations from examples and solve unseen grid puzzles; the evaluation split is explicit ARC 73.1% #44 of 64+1 versions & slices semi-private Models infer transformations from examples and solve unseen grid puzzles; the evaluation split is explicit ARC 65.3% #45 of 67
ARC-AGI-2public evaluation Models infer transformations from examples and solve unseen grid puzzles; the evaluation split is explicit ARC 12.1% #44 of 66+1 versions & slices semi-private Models infer transformations from examples and solve unseen grid puzzles; the evaluation split is explicit ARC 11.8% #47 of 69
Math 20
MathArenaAIME 2026 Answer accuracy on the named mathematics competition under the recorded effort MathArena 95.8% #12 of 24+19 versions & slices HMMT February 2026 Answer accuracy on the named mathematics competition under the recorded effort MathArena 87.1% #18 of 24AIME 2025 Answer accuracy on the named mathematics competition under the recorded effort MathArena 95.8% #4 of 30Apex Answer accuracy on the named mathematics competition under the recorded effort MathArena 8.9% #20 of 34Apex Shortlist Answer accuracy on the named mathematics competition under the recorded effort MathArena 57.5% #20 of 30ArXivMath · December 2025 Answer accuracy on the named mathematics competition under the recorded effort MathArena 41.9% #6 of 13ArXivMath · January 2026 Answer accuracy on the named mathematics competition under the recorded effort MathArena 62.5% #9 of 18BrokenArXiv · February 2026 Answer accuracy on the named mathematics competition under the recorded effort MathArena 2.8% #15 of 15BRUMO 2025 Answer accuracy on the named mathematics competition under the recorded effort MathArena 98.3% #4 of 24CMIMC 2025 Answer accuracy on the named mathematics competition under the recorded effort MathArena 90.6% #5 of 22Project Euler Answer accuracy on the named mathematics competition under the recorded effort MathArena 59.9% #8 of 11HMMT February 2025 Answer accuracy on the named mathematics competition under the recorded effort MathArena 93.3% #5 of 30HMMT November 2025 Answer accuracy on the named mathematics competition under the recorded effort MathArena 89.2% #7 of 14Kangaroo 2025 1-2 Answer accuracy on the named mathematics competition under the recorded effort MathArena 76% #9 of 17Kangaroo 2025 11-12 Answer accuracy on the named mathematics competition under the recorded effort MathArena 90% #12 of 17Kangaroo 2025 3-4 Answer accuracy on the named mathematics competition under the recorded effort MathArena 65.6% #10 of 17Kangaroo 2025 5-6 Answer accuracy on the named mathematics competition under the recorded effort MathArena 67.5% #12 of 17Kangaroo 2025 7-8 Answer accuracy on the named mathematics competition under the recorded effort MathArena 88.3% #10 of 16Kangaroo 2025 9-10 Answer accuracy on the named mathematics competition under the recorded effort MathArena 95.8% #9 of 16SMT 2025 Answer accuracy on the named mathematics competition under the recorded effort MathArena 90.6% #7 of 24
Science 2
Humanity's Last Exam Very hard expert questions across many fields, written to stump today’s models AA 30.7% #79 of 370
CritPt (physics) Research-level physics problems that need many careful reasoning steps AA 3.1% #95 of 342
Coding 4
WebDev Arena Human pairwise preferences in the stated webdev vote pool Arena 1,437 #56 of 97+2 versions & slices October 23, 2026 Human pairwise preferences in the stated webdev vote pool Arena 1,437 #57 of 98October 19, 2026 Human pairwise preferences in the stated webdev vote pool Arena 1,437 #57 of 97
Terminal-Bench Hard Agents solve difficult software, system-administration and data-processing tasks in a terminal AA 34.8% #44 of 258
Agents 3
GDPval-AA (work tasks)2.1 Real work tasks from many professions (reports, spreadsheets, analyses), graded against expert work AA 17 #138 of 177
APEX-Agents Agents complete long-horizon professional-services tasks across realistic applications AA 11.5% #24 of 29
τ³-BankingAA Agents retrieve banking knowledge and execute tools to resolve customer-support workflows AA 14.2% #73 of 137
Multimodal 3
MMMU-Pro (vision) College-level questions that require understanding images: charts, diagrams, photos AA 75.4% #49 of 136
Arena Vision Human pairwise preferences in the stated vision vote pool Arena 1,269 #33 of 88
Chartography Expert chart reasoning over professional scientific, medical, financial and engineering charts Surge 12.6% #33 of 37
Writing 17
Arena Textcreative writing · October 22, 2026 Human pairwise preferences in the stated text vote pool Arena 1,422 #45 of 197+14 versions & slices creative writing Human pairwise preferences in the stated text vote pool Arena 1,423 #51 of 195overall Human pairwise preferences in the stated text vote pool Arena 1,450 #52 of 196Chinese Human pairwise preferences in the stated text vote pool Arena 1,494 #44 of 198English Human pairwise preferences in the stated text vote pool Arena 1,454 #42 of 205French Human pairwise preferences in the stated text vote pool Arena 1,454 #57 of 164German Human pairwise preferences in the stated text vote pool Arena 1,441 #47 of 167instruction following Human pairwise preferences in the stated text vote pool Arena 1,431 #55 of 205Japanese Human pairwise preferences in the stated text vote pool Arena 1,422 #34 of 152Korean Human pairwise preferences in the stated text vote pool Arena 1,411 #36 of 156non-English Human pairwise preferences in the stated text vote pool Arena 1,433 #43 of 205Polish Human pairwise preferences in the stated text vote pool Arena 1,446 #35 of 142Russian Human pairwise preferences in the stated text vote pool Arena 1,435 #51 of 203Spanish Human pairwise preferences in the stated text vote pool Arena 1,450 #45 of 168overall · October 22, 2026 Human pairwise preferences in the stated text vote pool Arena 1,445 #42 of 198
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 74.9% #28 of 96
EQ-Bench Creative Writingv3 Creative Writing v3 · Elo: Judge-rated creative writing under the v3 prompt set and pairwise ranking EQ-Bench 1,579 #46 of 94
Health & law 3
Vals MedCode Medical coding accuracy on patient encounters Vals 39.3% #53 of 78
Vals MedScribe Accuracy of clinical notes produced from consultation transcripts Vals 76.4% #58 of 80
Vals Legal Research Bench Grounded legal research; a task passes only if all criteria pass Vals 15.9% #55 of 73
Documents 2
AA-LCR (long context)1.1 Questions that need reading and connecting facts across very long documents (around 100K tokens) AA 78% #71 of 338
OmniDocBenchv1.6 · full End-to-end document parsing, averaging text recognition, table structure and formula recognition under the stated full-set protocol OmniDocBench 84.5% #19 of 22
Legacy · saturated or no longer reported 14
GPQA Diamond Graduate-level biology, chemistry and physics questions that can’t be solved by a quick web search 87.9% #51 of 346
Video-MME2 · without subtitles/audio Grouped non-linear question scoring for video understanding; this is distinct from mean question accuracy Video-MME 27.3% #3 of 18+3 versions & slices 2 · with subtitles/audio Grouped non-linear question scoring for video understanding; this is distinct from mean question accuracy Video-MME 36.1% #4 of 182 · with subtitles/audio · 512 frames Grouped non-linear question scoring for video understanding; this is distinct from mean question accuracy Video-MME 40.7% #1 of 12 · without subtitles/audio · 512 frames Grouped non-linear question scoring for video understanding; this is distinct from mean question accuracy Video-MME 33% #1 of 2
SWE-bench VerifiedEpoch Swe Bench Verified: Agents modify real repositories to resolve the stated Verified issues Epoch 73.8% #14 of 24
SWE-rebenchall · January 1, 2026 to March 1, 2026 Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 49% #2 of 5+5 versions & slices Go · January 1, 2026 to March 1, 2026 Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 0% #1 of 5Java · January 1, 2026 to March 1, 2026 Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 0% #1 of 5Python · January 1, 2026 to March 1, 2026 Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 49% #2 of 5Rust · January 1, 2026 to March 1, 2026 Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 0% #1 of 5TypeScript · January 1, 2026 to March 1, 2026 Repository issue resolution over the exact fresh pull-request window, under the source agent version Nebius 0% #1 of 5
τ²-benchAA Tests service agents that use tools while coordinating with a simulated user AA 95.9% #12 of 262
Terminal-Bench2.1 Older, easier version of Terminal-Bench; Still widely reported AA 45.7% #74 of 161
No benchmark matches