Benchmark Almanac

Compare models

Pick up to four models to see how they stack up on every benchmark they've all been scored on.

Scores from

Who comes out ahead?

Claude Fable 5.2 leads on 25 of the 50 benchmarks all four share. We use independent runs where they exist and fill the gaps with labs’ own numbers. One benchmark is a tie for first.

  1. Claude Fable 5.2Best on 25
  2. Gemini 4 CarbonBest on 13, tied for best on 1
  3. GPT-6 AstraBest on 7, tied for best on 1
  4. Muse WonderBest on 4

Sources: Official leaderboards, Epoch AI (CC BY 4.0) and labs’ model cards

Cited by
Labs
Area
AutomationBench51.553.941.439.1 (the lab’s own number)204 of 414.8
Terminal-Bench 4.067.6 (the lab’s own number)65.2 (the lab’s own number)58.247.0164 of 420.6
LiveBench84.983.584.570.780 of 414.2
FrontierCode 2.050.242.644.025.361 of 424.9
Code ArenaElo1,8381,7681,7641,64740 of 4190
HLE-Diamond77.963.665.840.630 of 437.3
Legal Research Bench46.155.839.450.530 of 416.4
PostTrainBench 1.244.641.041.924.230 of 420.4
Blueprint-Bench 256.658.649.731.721 of 426.9
Vals Index v2.271.370.565.064.921 of 46.4
Tax Agent Bench32.151.820.736.320 of 431.1
Vibe Code Bench93.889.189.683.120 of 410.7
Agent Arena30.417.014.51.7710 of 428.6
APEX-Accounting70.470.764.767.110 of 46.0
DesignArena 3D DesignElo1,5081,4281,5271,43110 of 499
DesignArena Game DevElo1,3971,3301,4691,41410 of 4139
DesignArena WebsiteElo1,3511,3191,3401,37910 of 460
EEBench77.383.969.362.710 of 421.2
Excel Modeling Benchmark v1.177.476.572.772.510 of 44.9
FrontierMath Tier 4 v2100.095.197.670.710 of 429.3
FrontierMath Tiers 1-3 v295.190.593.782.110 of 413.0
Harvey LAB v1.1 (HLAB-Vals-1.1)5.0017.57.0823.810 of 418.8
Humanity's Sixth Sense59.571.153.643.710 of 427.4
PRBench49.053.448.458.410 of 410.0
Terminal-Bench 4.165.864.560.347.010 of 418.8
Vals Finance Agent v2.169.567.260.465.510 of 49.0
Vals Finance Index63.667.055.661.210 of 411.4
Vals Legal Index69.275.968.475.310 of 47.5
APEX-Agents 1.187.690.475.177.000 of 415.3
BullshitBench V267.372.069.057.600 of 414.4
CAIS Risk Indexscore, lower is better8.4033.435.532.400 of 427.1
CAIS Text Capabilities Indexscore66.359.063.947.600 of 418.7
DAXBench v287.892.895.982.200 of 413.7
DesignArena Agentic OverallElo1,3701,3001,3991,16500 of 4234
DesignArena CodeElo1,3741,3471,3961,39200 of 449
DesignArena Image to HTMLElo1,2611,2251,3031,26000 of 478
DesignArena PDFElo1,3191,3341,1981,18300 of 4151
DesignArena SpreadsheetElo1,4341,2241,3321,24800 of 4210
DesignArena UI ComponentElo1,3781,3501,3991,36200 of 449
DuelLab GameBench 2score99.294.994.377.800 of 421.4
EBR-bench90.587.676.231.400 of 459.1
Extended NYT Connections97.399.398.493.400 of 45.9
Furniture Assembly Benchmark90.077.580.054.200 of 435.8
GDPx16.410.99.606.8200 of 49.6
Lech Mazur Creative Writingscore3.691.753.321.7500 of 41.94
Mystery Game Puzzles90.073.084.051.000 of 439.0
OTIS Mock AIME 2024-202599.7100.0100.099.400 of 40.6
RWE-bench62.020.037.00.000 of 462.0
SWE Atlas v1.180.571.469.464.800 of 415.7
TaxCalcBench v282.071.470.083.700 of 413.7

A lab’s own number. Everything else is an independent run.Scores are percentages unless the row says otherwise. Bold is the best in each row. Click a row for its bars.

Sources: Official leaderboards, Epoch AI (CC BY 4.0) and labs’ model cards

Gap is how far apart the best and worst picked models are on a test. A small gap means they're about even. A big one means the test tells them apart.

It's in points for percentages (74.3 against 68.1 is 6.2) and in the test's own unit otherwise, such as Elo. To sort mixed units together, we count those as a share of the test's full range.

Labs is how many labs report this benchmark in their launch posts and system cards, across the whole almanac. A high count means a widely used test.

Cited by is how many of the picked models' own launch posts and system cards report this benchmark. At 0, every score in the row is an independent run.