Benchmarks / 3D

threejseval

Coding models build a Three.js scene from the same prompt; humans vote blind on pairs of finished scenes. Value is Bradley-Terry Elo (base 1500), the mean across prompts.

27models
–Open Index weight
2026-10-16last updated
threejsevalpublisher

threejseval

Higher is better · best effort per model

Chart settings
27 of 27 selected

full table below

#ModelEffortScoreCost / taskHarness
1Opus 5.5high2071––
2GPT-6.1 Solhigh1988––
3GPT-6 Astramedium1884––
4Fable 5.1high1866––
5Sonnet 5.5high1837––
6Gemini 4high1796––
7Opus 5medium1713––
8DeepSeek V4.1 Flashmax1662––
9GPT-6 Solhigh1631––
10Grok 4.7xhigh1625––
11Gemini 3.8 Flashhigh1571––
12Kimi K3high1520––
13Fable 5medium1520––
14Gemini 3.7 Flashhigh1473––
15Grok 4.6high1461––
16GPT-5.6 Terramax1440––
17Muse Spark 1.3max1439––
18Haiku 5.5high1424––
19GPT-5.6 Solmedium1379––
20GPT-6 Lunahigh1375––
21Gemini 3.6 Flashhigh1348––
22GPT-5.6 Lunahigh1280––
23Sonnet 5medium1212––
24GPT-5.3 Codexhigh1160––
25Opus 4.5high1149––
26Composer 2.5none1087––
27Mistral Large 4high1052––