Arcada Labs Code Categories Arena Leaderboard
The latest AI design-code model leaderboard based on Arcada Labs Code Categories Arena anonymous user voting. Focused on Website, UI components, game development, and data visualization code generation.
Top Model
GLM 5.2
Top Score
1352.00
Model Count
136
Data version
2026年07月12日
Data source: Arcada Labs
Ranking Table
| Rank | Model | Score | 95% CI | Votes | Organization | License |
|---|---|---|---|---|---|---|
| GLM 5.2Zhipu AI | 1352.00 | +/-7.9 | 8,533 | Zhipu AI | Open Source | |
 GPT-5.6 SolOpenAI | 1350.00 | +/-16.8 | 1,792 | OpenAI | Proprietary | |
 Claude Fable 5Anthropic | 1344.00 | +/-11.6 | 3,881 | Anthropic | Proprietary | |
| 4 | Claude Opus 4.6Anthropic | 1336.00 | +/-5.1 | 23,055 | Anthropic | Proprietary |
| 5 | Claude Opus 4.6 (thinking)Anthropic | 1330.00 | +/-5.5 | 19,041 | Anthropic | Proprietary |
| 6 | Opus 4.7Anthropic | 1330.00 | +/-5.8 | 16,847 | Anthropic | Proprietary |
| 7 |  Grok 4.5xAI | 1328.00 | +/-11.9 | 3,493 | xAI | Proprietary |
| 8 | GLM 5.1智谱AI | 1321.00 | +/-6.6 | 12,099 | 智谱AI | Open Source |
| 9 |  Kimi K2.6Moonshot AI | 1320.00 | +/-4.9 | 23,919 | Moonshot AI | Open Source |
| 10 | Claude Sonnet 4.6Anthropic | 1319.00 | +/-5.1 | 22,045 | Anthropic | Proprietary |
| 11 | GLM-5-Turbo智谱AI | 1312.00 | +/-4.7 | 27,317 | 智谱AI | Proprietary |
| 12 | MiMo-V2.5-ProXiaomi | 1312.00 | +/-7.2 | 10,020 | Xiaomi | Open Source |
| 13 | Qwen3.7 Max阿里巴巴 | 1306.00 | +/-5.8 | 16,473 | 阿里巴巴 | Proprietary |
| 14 | Kimi K2.7 CodeMoonshot AI | 1300.00 | +/-8.2 | 7,614 | Moonshot AI | Open Source |
| 15 |  Gemini 3.5 FlashGoogle Deep Mind | 1297.00 | +/-5.8 | 16,254 | Google Deep Mind | Proprietary |
| 16 |  MiniMax M3MiniMax | 1297.00 | +/-6.5 | 12,553 | MiniMax | Open Source |
| 17 | MiMo-V2.5Xiaomi | 1295.00 | +/-4.4 | 31,718 | Xiaomi | Open Source |
| 18 | Muse SparkFacebook AI研究实验室 | 1294.00 | +/-10.9 | 4,249 | Facebook AI研究实验室 | Proprietary |
| 19 | GPT-5.5OpenAI | 1291.00 | +/-5.9 | 15,610 | OpenAI | Proprietary |
| 20 | GLM-5智谱AI | 1288.00 | +/-3.8 | 46,436 | 智谱AI | Open Source |
| 21 | Opus 4.5Anthropic | 1284.00 | +/-4.1 | 35,670 | Anthropic | Proprietary |
| 22 | Gemini 3.1 Pro PreviewGoogle Deep Mind | 1283.00 | +/-5 | 23,843 | Google Deep Mind | Proprietary |
| 23 |  DeepSeek-V4-ProDeepSeek-AI | 1281.00 | +/-5.5 | 17,824 | DeepSeek-AI | Open Source |
| 24 | Kimi K2.5 (thinking)Moonshot AI | 1279.00 | +/-4 | 39,455 | Moonshot AI | Open Source |
| 25 | Claude Opus 4.8Anthropic | 1276.00 | +/-5.9 | 15,114 | Anthropic | Proprietary |
| 26 | MiniMax-M2.7MiniMaxAI | 1275.00 | +/-4.4 | 31,074 | MiniMaxAI | Open Source |
| 27 | Gemini 3.1 Pro PreviewGoogle Deep Mind | 1271.00 | +/-4.2 | 35,060 | Google Deep Mind | Proprietary |
| 28 | GLM-5V-Turbo智谱AI | 1270.00 | +/-4.3 | 31,672 | 智谱AI | Proprietary |
| 29 | Nex N2 ProNex AGI | 1265.00 | +/-9.1 | 5,932 | Nex AGI | Open Source |
| 30 | Qwen 3.6 Plus Preview阿里巴巴 | 1265.00 | +/-4.7 | 26,080 | 阿里巴巴 | Proprietary |
| 31 | Grok 4.20 Beta (Reasoning)xAI | 1260.00 | +/-4.7 | 26,100 | xAI | Proprietary |
| 32 | GLM-4.7智谱AI | 1258.00 | +/-3.7 | 47,633 | 智谱AI | Open Source |
| 33 | GPT-5.4 (Design Skill, Medium)OpenAI | 1254.00 | +/-7.2 | 9,880 | OpenAI | Proprietary |
| 34 | GPT-5.4 (medium)OpenAI | 1252.00 | +/-5.3 | 19,407 | OpenAI | Proprietary |
| 35 | MiniMax M2.5MiniMaxAI | 1249.00 | +/-6.7 | 11,504 | MiniMaxAI | Open Source |
| 36 | DeepSeek-V4-FlashDeepSeek-AI | 1248.00 | +/-4.7 | 25,437 | DeepSeek-AI | Open Source |
| 37 | Grok 4.20 BetaxAI | 1241.00 | +/-4.6 | 27,379 | xAI | Proprietary |
| 38 | Grok 4.3 BetaxAI | 1234.00 | +/-5.1 | 21,060 | xAI | Proprietary |
| 39 | M2.1MiniMaxAI | 1232.00 | +/-5.1 | 20,805 | MiniMaxAI | Open Source |
| 40 | Gemini 3.0 FlashGoogle Deep Mind | 1231.00 | +/-10.6 | 4,414 | Google Deep Mind | Proprietary |
| 41 | Claude Sonnet 4.5Anthropic | 1225.00 | +/-3.8 | 40,900 | Anthropic | Proprietary |
| 42 | Claude Sonnet 4.5 (thinking)Anthropic | 1224.00 | +/-3.9 | 40,107 | Anthropic | Proprietary |
| 43 | GPT-5.4 (low)OpenAI | 1222.00 | +/-5 | 21,683 | OpenAI | Proprietary |
| 44 | Qwen3.5-397B-A17B阿里巴巴 | 1222.00 | +/-7.9 | 8,131 | 阿里巴巴 | Open Source |
| 45 | GLM-4.7-Flash智谱AI | 1220.00 | +/-6.6 | 11,706 | 智谱AI | Open Source |
| 46 | GPT-5.4 (None)OpenAI | 1220.00 | +/-4.8 | 24,150 | OpenAI | Proprietary |
| 47 | Claude Sonnet 3.7Anthropic | 1219.00 | +/-5.9 | 15,245 | Anthropic | Proprietary |
| 48 | DeepSeek-V3.1 (thinking)DeepSeek-AI | 1217.00 | +/-5.7 | 16,258 | DeepSeek-AI | Open Source |
| 49 | Opus 4.1 (thinking)Anthropic | 1213.00 | +/-5.8 | 15,677 | Anthropic | Proprietary |
| 50 | DeepSeek V3.2-ExpDeepSeek-AI | 1213.00 | +/-5.3 | 19,490 | DeepSeek-AI | Open Source |
| 51 | GPT-5.1 (high)OpenAI | 1213.00 | +/-5.7 | 16,057 | OpenAI | Proprietary |
| 52 | GPT-5.2 (medium)OpenAI | 1212.00 | +/-4.5 | 28,372 | OpenAI | Proprietary |
| 53 | GPT-5 (high)OpenAI | 1211.00 | +/-6.2 | 13,397 | OpenAI | Proprietary |
| 54 | GPT-5.2 (None)OpenAI | 1211.00 | +/-4.4 | 29,322 | OpenAI | Proprietary |
| 55 |  Step 3.7 FlashStepFun | 1210.00 | +/-6.3 | 13,365 | StepFun | Open Source |
| 56 | Qwen3.5 Plus (0215)阿里巴巴 | 1209.00 | +/-5.3 | 19,028 | 阿里巴巴 | Proprietary |
| 57 | GLM-4.6智谱AI | 1208.00 | +/-5.6 | 16,911 | 智谱AI | Open Source |
| 58 | GPT-5.2 (low)OpenAI | 1208.00 | +/-4.6 | 25,763 | OpenAI | Proprietary |
| 59 | Opus 4.1Anthropic | 1207.00 | +/-3.9 | 40,219 | Anthropic | Proprietary |
| 60 | GLM-4.5智谱AI | 1207.00 | +/-5.2 | 19,637 | 智谱AI | Open Source |
| 61 | GPT-5 (minimal)OpenAI | 1207.00 | +/-4.2 | 33,251 | OpenAI | Proprietary |
| 62 | DeepSeek V3.2DeepSeek-AI | 1206.00 | +/-4.4 | 29,394 | DeepSeek-AI | Open Source |
| 63 | GPT-5.1 (medium)OpenAI | 1204.00 | +/-5 | 21,292 | OpenAI | Proprietary |
| 64 | Claude Opus 4Anthropic | 1203.00 | +/-5.6 | 16,669 | Anthropic | Proprietary |
| 65 |  Hy3Tencent | 1199.00 | +/-20.5 | 1,202 | Tencent | Open Source |
| 66 | GPT-5.1 (low)OpenAI | 1198.00 | +/-5 | 22,160 | OpenAI | Proprietary |
| 67 | MiMo-V2-FlashXiaomi | 1198.00 | +/-4.1 | 35,857 | Xiaomi | Open Source |
| 68 | Gemini 2.5-ProGoogle Deep Mind | 1196.00 | +/-8.6 | 7,044 | Google Deep Mind | Proprietary |
| 69 | GPT-5.1 CodexOpenAI | 1193.00 | +/-16.4 | 1,807 | OpenAI | Proprietary |
| 70 | GPT-5.1 (None)OpenAI | 1193.00 | +/-4.9 | 22,273 | OpenAI | Proprietary |
| 71 | GPT-5.2 (high)OpenAI | 1192.00 | +/-10.8 | 4,167 | OpenAI | Proprietary |
| 72 | GPT-5.3 CodexOpenAI | 1187.00 | +/-5.8 | 15,761 | OpenAI | Proprietary |
| 73 | Qwen3-Coder-480B-A35B阿里巴巴 | 1185.00 | +/-16.3 | 1,958 | 阿里巴巴 | Open Source |
| 74 |  Mistral Large 3MistralAI | 1184.00 | +/-4.3 | 30,837 | MistralAI | Open Source |
| 75 | Claude Sonnet 4Anthropic | 1183.00 | +/-5.5 | 17,532 | Anthropic | Proprietary |
| 76 | DeepSeek-R1-0528DeepSeek-AI | 1181.00 | +/-5.4 | 17,944 | DeepSeek-AI | Open Source |
| 77 | GLM-4.5-Air智谱AI | 1180.00 | +/-5.5 | 17,256 | 智谱AI | Open Source |
| 78 | Claude Sonnet 4 (thinking)Anthropic | 1179.00 | +/-5.7 | 16,227 | Anthropic | Proprietary |
| 79 | MiniMax M2MiniMaxAI | 1177.00 | +/-6.9 | 10,828 | MiniMaxAI | Open Source |
| 80 | AesCoder-4BDesignFlow | 1167.00 | +/-3.9 | 40,177 | DesignFlow | Open Source |
| 81 | Mistral Medium 3.5MistralAI | 1164.00 | +/-6.8 | 11,490 | MistralAI | Open Source |
| 82 |  Nemotron 3 UltraNVIDIA | 1164.00 | +/-7.6 | 9,540 | NVIDIA | Open Source |
| 83 | Mistral Medium 3.1 (2508)Mistral | 1163.00 | +/-4.5 | 28,014 | Mistral | Proprietary |
| 84 | Trinity Large ThinkingArcee AI | 1158.00 | +/-6.4 | 13,416 | Arcee AI | Open Source |
| 85 | Haiku 4.5Anthropic | 1156.00 | +/-4.1 | 36,008 | Anthropic | Proprietary |
| 86 | GPT-5-miniOpenAI | 1156.00 | +/-4 | 37,565 | OpenAI | Proprietary |
| 87 | DeepSeek-V3.1DeepSeek-AI | 1154.00 | +/-5.1 | 20,278 | DeepSeek-AI | Open Source |
| 88 | Qwen3-Max-Thinking阿里巴巴 | 1152.00 | +/-4.2 | 33,808 | 阿里巴巴 | Proprietary |
| 89 | DeepSeek-V3-0324DeepSeek-AI | 1151.00 | +/-5.3 | 19,257 | DeepSeek-AI | Open Source |
| 90 | Prime Intellect: INTELLECT-3Prime Intellect | 1149.00 | +/-4.3 | 31,884 | Prime Intellect | Open Source |
| 91 | Gemini 2.5 Flash-Preview-09-2025Google Deep Mind | 1146.00 | +/-5.3 | 19,299 | Google Deep Mind | Proprietary |
| 92 | Grok 4 FastxAI | 1143.00 | +/-4 | 37,255 | xAI | Proprietary |
| 93 | Kimi K2 0905Moonshot AI | 1140.00 | +/-17.9 | 1,504 | Moonshot AI | Open Source |
| 94 | GPT-5.1 Codex MiniOpenAI | 1136.00 | +/-4.2 | 34,250 | OpenAI | Proprietary |
| 95 | Grok 4.1 FastxAI | 1135.00 | +/-4.2 | 33,898 | xAI | Proprietary |
| 96 | Grok 4.1 Fast (reasoning)xAI | 1130.00 | +/-4.3 | 31,599 | xAI | Proprietary |
| 97 | GPT-5-NanoOpenAI | 1127.00 | +/-8.6 | 6,710 | OpenAI | Proprietary |
| 98 | Kimi K2 Turbo PreviewMoonshot AI | 1126.00 | +/-15.2 | 2,094 | Moonshot AI | Open Source |
| 99 | Gemini 2.5 Flash-Lite-Preview-09-2025Google Deep Mind | 1123.00 | +/-8.5 | 6,860 | Google Deep Mind | Proprietary |
| 100 | Gemini 3.1 Flash-Lite PreviewGoogle | 1114.00 | +/-5 | 24,146 | Proprietary | |
| 101 |  Phi-3-medium 14B-previewMicrosoft Azure | 1111.00 | +/-8.9 | 6,396 | Microsoft Azure | Proprietary |
| 102 | Ministral 3 14BMistralAI | 1107.00 | +/-14.4 | 2,379 | MistralAI | Open Source |
| 103 | Gemini 2.5 FlashGoogle Deep Mind | 1101.00 | +/-8.5 | 6,960 | Google Deep Mind | Proprietary |
| 104 | v0-1.5-mdVercel | 1099.00 | +/-6.9 | 11,081 | Vercel | Proprietary |
| 105 | Grok 3xAI | 1095.00 | +/-4.6 | 26,862 | xAI | Proprietary |
| 106 | Ministral 3 8BMistralAI | 1095.00 | +/-14.3 | 2,427 | MistralAI | Open Source |
| 107 | Grok 4 Fast (reasoning)xAI | 1093.00 | +/-4.1 | 37,909 | xAI | Proprietary |
| 108 | Qwen3-235B-A22B-2507阿里巴巴 | 1081.00 | +/-8.6 | 6,932 | 阿里巴巴 | Open Source |
| 109 | Kimi K2Moonshot AI | 1076.00 | +/-19.4 | 1,352 | Moonshot AI | Open Source |
| 110 | Magistral Medium 1.2 (2509)Mistral | 1076.00 | +/-9.4 | 5,851 | Mistral | Proprietary |
| 111 |  Qwen3-235B-A22B-Thinking-2507Alibaba | 1075.00 | +/-9.1 | 6,169 | Alibaba | Open Source |
| 112 | GPT-4.1OpenAI | 1068.00 | +/-17.3 | 1,747 | OpenAI | Proprietary |
| 113 | OpenAI o3OpenAI | 1062.00 | +/-19.5 | 1,365 | OpenAI | Proprietary |
| 114 | Grok 4xAI | 1058.00 | +/-5 | 23,998 | xAI | Proprietary |
| 115 | Devstral MediumMistralAI | 1055.00 | +/-8.6 | 7,158 | MistralAI | Proprietary |
| 116 | Ministral 3 3B (2512)Mistral | 1052.00 | +/-13.5 | 2,852 | Mistral | Open Source |
| 117 | Codestral 2508Mistral | 1049.00 | +/-8.8 | 6,745 | Mistral | Proprietary |
| 118 | Qwen3-235B-A22B阿里巴巴 | 1044.00 | +/-10.1 | 5,154 | 阿里巴巴 | Open Source |
| 119 | Grok Code Fast 1xAI | 1041.00 | +/-11.1 | 4,295 | xAI | Proprietary |
| 120 | GPT-4.1 miniOpenAI | 1036.00 | +/-18.3 | 1,566 | OpenAI | Proprietary |
| 121 | Mercury 2Inception | 1033.00 | +/-10.3 | 6,814 | Inception | Proprietary |
| 122 | Magistral Small 1.2 (2509)Mistral | 1028.00 | +/-9.2 | 6,448 | Mistral | Open Source |
| 123 | OpenAI o4 - miniOpenAI | 1018.00 | +/-16.2 | 2,011 | OpenAI | Proprietary |
| 124 | Olmo 3.1 32B ThinkAllen AI | 1017.00 | +/-6.3 | 16,162 | Allen AI | Open Source |
| 125 | GPT-4.1 nanoOpenAI | 1005.00 | +/-16.9 | 1,901 | OpenAI | Proprietary |
| 126 | GPT OSS 120BOpenAI | 1005.00 | +/-10.3 | 5,268 | OpenAI | Open Source |
| 127 | Qwen3-30B-A3B阿里巴巴 | 984.00 | +/-14.6 | 2,575 | 阿里巴巴 | Open Source |
| 128 | Grok 3 minixAI | 973.00 | +/-8.8 | 7,626 | xAI | Proprietary |
| 129 | Llama 3.1 Nemotron Ultra 253BNVIDIA | 971.00 | +/-13.8 | 3,172 | NVIDIA | Open Source |
| 130 | Mistral-Small-3.2MistralAI | 949.00 | +/-20.8 | 1,243 | MistralAI | Open Source |
| 131 | Llama 4 MaverickFacebook AI研究实验室 | 922.00 | +/-18.4 | 1,678 | Facebook AI研究实验室 | Open Source |
| 132 | Mistral Large 2.1 (2411)Mistral | 905.00 | +/-21 | 1,317 | Mistral | Proprietary |
| 133 | GPT-4oOpenAI | 903.00 | +/-18.1 | 1,780 | OpenAI | Proprietary |
| 134 | Codestral 2 (2501)Mistral | 876.00 | +/-20.7 | 1,444 | Mistral | Open Source |
| 135 | Devstral Small 1.1MistralAI | 849.00 | +/-22.5 | 1,250 | MistralAI | Open Source |
| 136 | Llama 4 ScoutFacebook AI研究实验室 | 832.00 | +/-22.6 | 1,275 | Facebook AI研究实验室 | Open Source |
Data is for reference only. Official sources are authoritative. Click model names to view DataLearner model profiles.
About This Leaderboard
This leaderboard uses data from Design Arena developed by Arcada Labs, a Y Combinator-backed platform for anonymous head-to-head evaluation of AI design-code generation.
Unlike LMArena's general text and coding evaluations, Design Arena's code leaderboard focuses on the ability to generate front-end code with visual output. Tasks include Website, UI components, game development, data visualization, SVG, web apps, mobile, and related subcategories.
This page shows the Code Categories aggregate ranking. Votes across subcategories are pooled and scored with a Bradley-Terry model. Votes are counted equally rather than category-weighted, so categories with more votes can influence the aggregate more.
FAQ
What is Arcada Labs Code Categories Arena?
Arcada Labs Code Categories Arena is an anonymous evaluation platform focused on AI design-code generation. It covers categories such as websites, UI components, game development, and data visualization, then aggregates votes into an overall ranking.
How is Arcada Code Arena different from LMArena Coding Arena?
LMArena Coding Arena focuses on general programming tasks such as code generation, debugging, and algorithms. Arcada Code Arena focuses on visual front-end outputs such as HTML pages, interactive UI components, charts, SVG, and prototypes.
What is the ranking methodology?
Arcada Labs pools raw votes from code subcategories and fits a Bradley-Terry model. Votes are equal rather than category-weighted, so higher-volume categories can influence the aggregate more.
Which model types perform best for design-code tasks?
Large models with strong visual reasoning and front-end coding ability tend to do well. Specialized UI and code-generation models can also perform strongly when tasks emphasize layout, interaction, and visual polish.