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 23.5 #93 of 337
Knowledge 6
AA OmniscienceAccuracy AA Omniscience · Accuracy: Measures correct answers on the AA Omniscience factual knowledge test AA 35.2% #58 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 65.7% #119 of 321
AA Omniscience Index AA Omniscience Index: Scores factual knowledge while penalizing incorrect answers to encourage admitting uncertainty AA -7.3 #86 of 321
IFBench (instructions) IFBench (instructions): Checks whether the model follows precise formatting and content instructions AA 70.2% #50 of 248
EQ-Bench3 EQ-Bench 3: Judge-rated responses to social and emotionally nuanced scenarios, scored through the source pairwise ranking EQ-Bench 1,545 #17 of 50
SimpleQA Verifiedv1 SimpleQA Verified v1: Accuracy on short factual questions with verified answers, answered without web access 34.3% #49 of 83
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 73.1% #41 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 65.3% #42 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 12.1% #41 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 11.8% #44 of 66
Math 20
MathArenaAIME 2026 MathArena · AIME 2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 95.8% #12 of 24+19 versions & slices HMMT February 2026 MathArena · HMMT February 2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 87.1% #18 of 24AIME 2025 MathArena · aime · AIME 2025: Answer accuracy on the named mathematics competition under the recorded effort MathArena 95.8% #4 of 30Apex MathArena · apex · Apex: Answer accuracy on the named mathematics competition under the recorded effort MathArena 8.9% #20 of 34Apex Shortlist MathArena · apex · Apex Shortlist: Answer accuracy on the named mathematics competition under the recorded effort MathArena 57.5% #20 of 30ArXivMath · December 2025 MathArena · arxiv · 12/2025: Answer accuracy on the named mathematics competition under the recorded effort MathArena 41.9% #6 of 13ArXivMath · January 2026 MathArena · arxiv · 01/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 62.5% #9 of 18BrokenArXiv · February 2026 MathArena · arxiv_false · 02/2026: Answer accuracy on the named mathematics competition under the recorded effort MathArena 2.8% #15 of 15BRUMO 2025 MathArena · brumo · BRUMO 2025: Answer accuracy on the named mathematics competition under the recorded effort MathArena 98.3% #4 of 24CMIMC 2025 MathArena · cmimc · CMIMC 2025: Answer accuracy on the named mathematics competition under the recorded effort MathArena 90.6% #5 of 22Project Euler MathArena · euler · Project Euler: Answer accuracy on the named mathematics competition under the recorded effort MathArena 59.9% #8 of 11HMMT February 2025 MathArena · hmmt · HMMT Feb 2025: Answer accuracy on the named mathematics competition under the recorded effort MathArena 93.3% #5 of 30HMMT November 2025 MathArena · hmmt · HMMT Nov 2025: Answer accuracy on the named mathematics competition under the recorded effort MathArena 89.2% #7 of 14Kangaroo 2025 1-2 MathArena · kangaroo · Kangaroo 2025 1-2: Answer accuracy on the named mathematics competition under the recorded effort MathArena 76% #9 of 17Kangaroo 2025 11-12 MathArena · kangaroo · Kangaroo 2025 11-12: Answer accuracy on the named mathematics competition under the recorded effort MathArena 90% #12 of 17Kangaroo 2025 3-4 MathArena · kangaroo · Kangaroo 2025 3-4: Answer accuracy on the named mathematics competition under the recorded effort MathArena 65.6% #10 of 17Kangaroo 2025 5-6 MathArena · kangaroo · Kangaroo 2025 5-6: Answer accuracy on the named mathematics competition under the recorded effort MathArena 67.5% #12 of 17Kangaroo 2025 7-8 MathArena · kangaroo · Kangaroo 2025 7-8: Answer accuracy on the named mathematics competition under the recorded effort MathArena 88.3% #10 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 90.6% #7 of 24
Science 2
Humanity's Last Exam Humanity's Last Exam: Very hard expert questions across many fields, written to stump today’s models AA 30.7% #76 of 337
CritPt (physics) CritPt (physics): Research-level physics problems that need many careful reasoning steps AA 3.1% #92 of 324
Coding 3
WebDev Arena WebDev Arena: Human pairwise preferences in the stated webdev vote pool Arena 1,437 #56 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 1,437 #57 of 97
Terminal-Bench Hard Terminal-Bench Hard (version unstated): Agents solve difficult software, system-administration and data-processing tasks in a terminal AA 34.8% #44 of 242
Agents 3
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 17 #96 of 175
APEX-Agents APEX-Agents: Agents complete long-horizon professional-services tasks across realistic applications AA 11.5% #24 of 29
τ³-BankingAA τ³-Banking · AA: Agents retrieve banking knowledge and execute tools to resolve customer-support workflows AA 14.2% #73 of 134
Multimodal 3
MMMU-Pro (vision) MMMU-Pro (vision): College-level questions that require understanding images: charts, diagrams, photos AA 75.4% #47 of 127
Arena Vision Arena Vision · overall: Human pairwise preferences in the stated vision vote pool Arena 1,269 #33 of 88
Chartography Chartography: Expert chart reasoning over professional scientific, medical, financial and engineering charts Surge 12.6% #33 of 37
Writing 4
Arena Textcreative writing Arena Text · creative writing: Human pairwise preferences in the stated text vote pool Arena 1,423 #51 of 195+1 versions & slices overall Arena Text · overall: Human pairwise preferences in the stated text vote pool Arena 1,450 #52 of 196
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% #27 of 95
EQ-Bench Creative Writingv3 Creative Writing v3 · Elo: Judge-rated creative writing under the v3 prompt set and pairwise ranking EQ-Bench 1,579 #45 of 91
Health & law 3
Vals MedCode Vals MedCode: Medical coding accuracy on patient encounters Vals 39.3% #53 of 78
Vals MedScribe Vals MedScribe: Accuracy of clinical notes produced from consultation transcripts Vals 76.4% #58 of 80
Vals Legal Research Bench Vals Legal Research Bench: Grounded legal research; a task passes only if all criteria pass Vals 15.9% #51 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 78% #68 of 275
OmniDocBenchv1.6 · full OmniDocBench · v1.6 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 GPQA Diamond: Graduate-level biology, chemistry and physics questions that can’t be solved by a quick web search 87.9% #51 of 315
Video-MME2 · without subtitles/audio Video-MME 2 · 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 Video-MME 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 Video-MME 2 · with subtitles/audio · with-subs; frames=512 · historical run: 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 Video-MME 2 · without subtitles/audio · no-subs; frames=512 · historical run: 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 · 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 49% #2 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 49% #2 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
τ²-benchAA τ²-Bench: Tests service agents that use tools while coordinating with a simulated user AA 95.9% #12 of 245
Terminal-Bench2.1 Terminal-Bench 2.1 · source setting 2: Older, easier version of Terminal-Bench; Still widely reported AA 45.7% #74 of 156
No benchmark matches
CheaperGLM 4.7 FlashthinkingOpen+3%-88%$0.061 / $0.40Context: 256K → 200K+1
CheaperStep 3.7 FlashhighOpen+3%-64%$0.20 / $1.15
CheaperQwen3.6 Plusthinking+2%-6%$0.50 / $3
MiniMax M2.5thinkingOpensame-56%$0.30 / $1.20Context: 256K → 205K+1
Claude Fable 5max+3%+1,567%$8.75CJT 35B Flash+3%——No image input