Benchmarks / 3D

AA-3D

AA-3D: agents in an offline sandbox turn a written brief into an interactive three.js scene; Elo from blind pairwise votes by AA's recruited panel.

22models
–Open Index weight
–last updated

AA-3D

Higher is better · best effort per model

Chart settings
22 of 22 selected

full table below

#ModelEffortScoreCost / taskHarness
1Sonnet 5.5max1197–Stirrup
2Opus 5.5max1191–Stirrup
3GPT-6 Astramax1166–Stirrup
4Gemini 4high1154–Stirrup
5Fable 5.1max1133–Stirrup
6GPT-6 Solmax1123–Stirrup
7GPT-6.1 Solmax1118–Stirrup
8Muse Spark 1.3max1037–Stirrup
9GPT-6 Lunamax1000–Stirrup
10Haiku 5.5max997–Stirrup
11Grok 4.7xhigh995–Stirrup
12Kimi K3max981–Stirrup
13MiMo V2.6 Pro–980–Stirrup
14Gemini 3.8 Flashhigh969–Stirrup
15Qwen 3.8 Maxmax948–Stirrup
16GLM 5.3 Flashmax935–Stirrup
17Mistral Large 4–870–Stirrup
18Step 5 Preview–852–Stirrup
19GLM 5.3max787–Stirrup
20MiniMax M3–740–Stirrup
21Inklingxhigh581–Stirrup
22Nemotron 3 Ultramax569–Stirrup