Code category rankings
Best AI for code categories
Compare models on Design Arena code-category tournaments. These results stay separate from the main Vibe Coding Index and the Arena Code WebDev board.
Current source snapshot
Jul 19, 2026
132 ranked entries
Live category evidence
Current Design Arena leaderboard
| Rank | Model | ELO | Win rate | Average time | Blended price | Tournament runs |
|---|---|---|---|---|---|---|
| 1 |
GLM 5.2
Zhipu
|
1,345 | 61.2% | 337.8s | $2.15 | 11,609 |
| 2 |
Claude Fable 5
Anthropic
|
1,343 | 62.8% | 151.7s | $22 | 9,212 |
| 3 |
Claude Opus 4.6
Anthropic
|
1,330 | 63.3% | 187.9s | $11 | 19,768 |
| 4 |
Grok 4.5
xAI
|
1,328 | 58.2% | 125.8s | $3 | 8,775 |
| 5 |
Claude Opus 4.6 (Thinking)
Anthropic
|
1,325 | 62.5% | 189.3s | $11 | 11,891 |
| 6 |
Claude Opus 4.7
Anthropic
|
1,325 | 60.4% | 141.5s | $11 | 19,576 |
| 7 |
GLM 5.1
Zhipu
|
1,316 | 58.9% | 314.4s | $2.14 | 6,832 |
| 8 |
Kimi K2.6
Moonshot
|
1,314 | 57.9% | 414.0s | $1.71 | 28,760 |
| 9 |
Claude Sonnet 4.6
Anthropic
|
1,313 | 60.8% | 172.0s | $6 | 20,333 |
| 10 |
Claude Sonnet 5
Anthropic
|
1,312 | 56.8% | 143.8s | $4 | 5,230 |
| 11 |
Muse Spark 1.1
Meta
|
1,307 | 55.6% | 193.1s | $2 | 13,299 |
| 12 |
GLM 5 Turbo
Zhipu
|
1,306 | 57.1% | 330.4s | $1.9 | 12,894 |
| 13 |
MiMo-V2.5-Pro
Xiaomi
|
1,305 | 57.1% | 297.1s | $1.5 | 5,091 |
| 14 |
Qwen3.7 Max
Alibaba
|
1,302 | 57.1% | 255.7s | $2.21 | 13,642 |
| 15 |
Kimi K2.7 Code
Moonshot
|
1,294 | 54.5% | 308.8s | $1.71 | 11,579 |
| 16 |
Gemini 3.5 Flash
Google
|
1,292 | 56.9% | 72.6s | $3.38 | 29,829 |
| 17 |
MiniMax M3
MiniMax
|
1,290 | 55.0% | 185.5s | $0.53 | 7,461 |
| 18 |
Qwen3.7 Plus
Alibaba
|
1,290 | 52.6% | 318.2s | $0.56 | 956 |
| 19 |
MiMo-V2.5
Xiaomi
|
1,289 | 54.6% | 176.5s | $0.14 | 14,558 |
| 20 |
GPT-5.5
OpenAI
|
1,288 | 56.4% | 149.5s | $11.25 | 23,121 |
| 21 |
GLM 5
Zhipu
|
1,283 | 55.5% | 197.5s | $1.55 | 32,017 |
| 22 |
Claude Opus 4.5
Anthropic
|
1,279 | 59.6% | 124.2s | $10 | 18,998 |
| 23 |
Gemini 3 Pro Preview
Google
|
1,278 | 64.2% | 88.7s | $4.5 | 12,275 |
| 24 |
DeepSeek-V4-Pro
DeepSeek
|
1,275 | 54.3% | 308.4s | $2.18 | 10,272 |
| 25 |
Claude Opus 4.8
Anthropic
|
1,273 | 54.3% | 85.8s | $10 | 16,311 |
| 26 |
Kimi K2.5 (Thinking)
Moonshot
|
1,273 | 54.5% | 218.1s | $1.3 | 27,147 |
| 27 |
MiniMax M2.7
MiniMax
|
1,269 | 53.3% | 190.6s | $0.53 | 14,675 |
| 28 |
Gemini 3.1 Pro Preview
Google
|
1,266 | 56.8% | 99.3s | $4.5 | 36,401 |
| 29 |
GLM 5V Turbo
Zhipu
|
1,265 | 52.3% | 181.3s | $1.9 | 29,832 |
| 30 |
Qwen3.6 Plus
Alibaba
|
1,260 | 51.4% | 260.3s | $0.73 | 16,566 |
| 31 |
Nex N2 Pro
Nex Agi
|
1,258 | 48.9% | 453.6s | $0.44 | 3,755 |
| 32 |
Grok 4.20 Beta (Reasoning)
xAI
|
1,255 | 54.3% | 94.0s | $1.56 | 17,038 |
| 33 |
GLM 4.7
Zhipu
|
1,253 | 54.7% | 166.0s | $1 | 29,268 |
| 34 |
GPT-5.4 (Design Skill, Medium)
OpenAI
|
1,248 | 52.6% | 163.4s | $5.63 | 4,833 |
| 35 |
GPT-5.4 (Medium)
OpenAI
|
1,246 | 52.8% | 165.6s | $5.63 | 10,752 |
| 36 |
MiniMax M2.5
MiniMax
|
1,244 | 56.8% | 137.5s | $0.44 | 5,389 |
| 37 |
DeepSeek-V4-Flash
DeepSeek
|
1,242 | 49.7% | 130.5s | $0.17 | 11,380 |
| 38 |
Hy3
Tencent
|
1,238 | 46.1% | 256.0s | $0.25 | 1,047 |
| 39 |
Grok 4.20 Beta
xAI
|
1,236 | 51.9% | 68.3s | $1.56 | 17,353 |
| 40 |
MiniMax M2.1
MiniMax
|
1,227 | 55.3% | 120.4s | $0.53 | 9,381 |
| 41 |
Claude 3.7 Sonnet
Anthropic
|
1,226 | 57.6% | 117.0s | — | 7,529 |
| 42 |
Gemini 3 Flash Preview
Google
|
1,226 | 57.6% | 34.5s | $1.13 | 9,357 |
| 43 |
Grok 4.3
xAI
|
1,226 | 48.4% | 83.5s | $1.56 | 29,451 |
| 44 |
Claude Sonnet 4.5
Anthropic
|
1,219 | 52.5% | 97.3s | $6.6 | 21,364 |
| 45 |
Claude Sonnet 4.5 (Thinking)
Anthropic
|
1,219 | 52.4% | 92.4s | $6.6 | 20,943 |
| 46 |
GPT-5.4 (Low)
OpenAI
|
1,216 | 49.3% | 86.0s | $5.63 | 11,777 |
| 47 |
Qwen3.5 397B A17B
Alibaba
|
1,216 | 52.6% | 135.7s | $1.09 | 4,149 |
| 48 |
GPT-5.4 (None)
OpenAI
|
1,215 | 49.3% | 75.4s | $5.63 | 13,539 |
| 49 |
GLM 4.7 Flash
Zhipu
|
1,214 | 53.1% | 150.1s | $0.15 | 5,798 |
| 50 |
DeepSeek-V3.1 (Thinking)
DeepSeek
|
1,212 | 56.0% | 197.5s | $0.44 | 7,784 |
| 51 |
Claude Opus 4.1 (Thinking)
Anthropic
|
1,208 | 55.8% | 104.5s | $30 | 7,473 |
| 52 |
GPT-5.1 (High)
OpenAI
|
1,208 | 53.1% | 165.8s | $3.44 | 8,405 |
| 53 |
DeepSeek-V3.2-Exp
DeepSeek
|
1,207 | 54.2% | 197.7s | $0.31 | 9,583 |
| 54 |
GPT-5.2 (None)
OpenAI
|
1,206 | 49.8% | 167.3s | $4.81 | 16,148 |
| 55 |
GPT-5.2 (Medium)
OpenAI
|
1,206 | 49.6% | 173.6s | $4.81 | 15,472 |
| 56 |
GPT-5 (High)
OpenAI
|
1,205 | 54.7% | 164.6s | $3.44 | 6,807 |
| 57 |
MiMo-V2-Flash
Xiaomi
|
1,205 | 49.4% | 62.2s | — | 16,624 |
| 58 |
Qwen3.5 Plus 02-15
Alibaba
|
1,204 | 48.5% | 131.4s | $0.59 | 9,623 |
| 59 |
Step 3.7 Flash
Stepfun
|
1,204 | 44.8% | 102.0s | $0.44 | 8,234 |
| 60 |
GLM 4.6
Zhipu
|
1,203 | 54.3% | 109.5s | $0.96 | 14,578 |
| 61 |
GPT-5.2 (Low)
OpenAI
|
1,203 | 50.3% | 166.3s | $4.81 | 13,533 |
| 62 |
GLM 4.5
Zhipu
|
1,202 | 54.4% | 141.4s | $1 | 9,161 |
| 63 |
GPT-5 (Minimal)
OpenAI
|
1,202 | 51.9% | 120.2s | $3.44 | 17,333 |
| 64 |
Claude Opus 4.1
Anthropic
|
1,201 | 50.1% | 105.6s | $30 | 20,472 |
| 65 |
DeepSeek-V3.2
DeepSeek
|
1,200 | 49.3% | 183.2s | $1 | 14,620 |
| 66 |
GPT-5.1 (Medium)
OpenAI
|
1,198 | 52.0% | 135.6s | $3.44 | 10,709 |
| 67 |
Claude Opus 4
Anthropic
|
1,197 | 55.6% | 88.5s | $30 | 7,929 |
| 68 |
GPT-5.1 (Low)
OpenAI
|
1,193 | 51.5% | 113.2s | $3.44 | 10,832 |
| 69 |
Gemini 2.5 Pro
Google
|
1,191 | 58.3% | 74.3s | $3.44 | 3,849 |
| 70 |
Hy3 Low
Tencent
|
1,188 | 39.2% | 85.8s | $0.25 | 1,268 |
| 71 |
GPT-5.1 Codex
OpenAI
|
1,187 | 55.2% | 74.0s | $3.44 | 1,931 |
| 72 |
GPT-5.1 (None)
OpenAI
|
1,187 | 50.7% | 107.8s | $3.44 | 10,899 |
| 73 |
GPT-5.2 (High)
OpenAI
|
1,186 | 50.4% | 152.0s | $4.81 | 1,661 |
| 74 |
GPT-5.3 Codex
OpenAI
|
1,181 | 47.3% | 52.4s | $4.81 | 11,788 |
| 75 |
Qwen3 Coder 480B A35B Instruct
Alibaba
|
1,180 | 61.2% | 62.1s | $0.67 | 902 |
| 76 |
Claude Sonnet 4
Anthropic
|
1,178 | 53.4% | 72.9s | $6 | 8,316 |
| 77 |
Mistral Large 3 (2512)
Mistral
|
1,178 | 47.6% | 110.0s | $0.75 | 14,978 |
| 78 |
DeepSeek-R1-0528
DeepSeek
|
1,175 | 52.6% | 88.6s | $1.15 | 8,357 |
| 79 |
GLM 4.5 Air
Zhipu
|
1,174 | 51.5% | 121.1s | $0.43 | 8,103 |
| 80 |
Claude Sonnet 4 (Thinking)
Anthropic
|
1,173 | 51.6% | 71.4s | $6 | 7,680 |
| 81 |
MiniMax M2 Stable
MiniMax
|
1,172 | 48.1% | 121.2s | $0.45 | 5,275 |
| 82 |
Nemotron 3 Ultra
NVIDIA
|
1,159 | 36.5% | 139.9s | $1.05 | 4,921 |
| 83 |
Mistral Medium 3.1 (2508)
Mistral
|
1,157 | 45.1% | 114.2s | $0.8 | 14,173 |
| 84 |
Prime Intellect. INTELLECT-3
Prime Intellect
|
1,156 | 42.6% | 78.9s | — | 15,077 |
| 85 |
Trinity Large Thinking
Arcee Ai
|
1,152 | 40.1% | 89.3s | $0.39 | 6,482 |
| 86 |
Claude Haiku 4.5
Anthropic
|
1,151 | 44.8% | 48.3s | $2.2 | 18,482 |
| 87 |
GPT-5 mini (Default)
OpenAI
|
1,151 | 43.4% | 128.6s | $0.69 | 19,372 |
| 88 |
Grok 4 Fast
xAI
|
1,150 | 43.0% | 45.5s | — | 18,019 |
| 89 |
DeepSeek-V3.1
DeepSeek
|
1,149 | 47.9% | 45.6s | $0.46 | 9,535 |
| 90 |
Qwen3 Max
Alibaba
|
1,146 | 44.0% | 108.3s | $1.56 | 16,354 |
| 91 |
DeepSeek-V3-0324
DeepSeek
|
1,145 | 48.5% | 74.0s | $0.63 | 9,090 |
| 92 |
Grok 4.1 Fast
xAI
|
1,142 | 42.1% | 34.8s | — | 16,318 |
| 93 |
Gemini 2.5 Flash Preview 09-2025
Google
|
1,141 | 46.9% | 45.7s | $0.85 | 9,097 |
| 94 |
Grok 4.1 Fast (Reasoning)
xAI
|
1,137 | 41.3% | 64.8s | — | 16,053 |
| 95 |
Kimi K2 0905 Preview
Moonshot
|
1,135 | 48.5% | 194.1s | $1.08 | 672 |
| 96 |
GPT-5.1 Codex Mini
OpenAI
|
1,130 | 41.5% | 47.5s | $0.69 | 17,161 |
| 97 |
GPT-5 nano (Default)
OpenAI
|
1,121 | 48.1% | 90.8s | $0.14 | 3,043 |
| 98 |
Gemini 2.5 Flash Lite Preview 09-2025
Google
|
1,118 | 47.0% | 13.3s | — | 3,139 |
| 99 |
Gemini 3.1 Flash-Lite Preview
Google
|
1,108 | 36.4% | 5.8s | $0.56 | 12,911 |
| 100 |
Mistral Medium 3 (2505)
Mistral
|
1,106 | 48.1% | 74.2s | $0.8 | 2,890 |
| 101 |
Grok 3
xAI
|
1,102 | 40.1% | 45.1s | — | 13,192 |
| 102 |
Ministral 3 14B (2512)
Mistral
|
1,102 | 44.0% | 81.9s | $0.35 | 1,017 |
| 103 |
Grok 4 Fast (Reasoning)
xAI
|
1,100 | 36.8% | 26.6s | — | 18,584 |
| 104 |
Gemini 2.5 Flash
Google
|
1,096 | 45.4% | 74.5s | $0.85 | 3,254 |
| 105 |
Ministral 3 8B (2512)
Mistral
|
1,090 | 42.9% | 52.9s | $0.3 | 1,034 |
| 106 |
Qwen3-235B-A22B-Instruct-2507
Alibaba
|
1,075 | 42.7% | 53.8s | $0.3 | 3,206 |
| 107 |
Kimi K2
Moonshot
|
1,070 | 51.7% | 60.0s | $1 | 596 |
| 108 |
Qwen3-235B-A22B-Thinking-2507
Alibaba
|
1,070 | 40.9% | 112.6s | $0.75 | 2,908 |
| 109 |
Grok 4
xAI
|
1,065 | 35.1% | 63.7s | — | 11,878 |
| 110 |
Devstral Medium
Mistral
|
1,062 | 41.2% | 24.7s | — | 3,285 |
| 111 |
GPT-4.1
OpenAI
|
1,062 | 50.9% | 72.7s | $3.5 | 763 |
| 112 |
o3
OpenAI
|
1,057 | 51.9% | 52.2s | $3.5 | 590 |
| 113 |
Grok Code Fast 1
xAI
|
1,048 | 36.9% | 16.7s | — | 8,460 |
| 114 |
Ministral 3 3B (2512)
Mistral
|
1,047 | 37.3% | 36.3s | $0.15 | 1,253 |
| 115 |
Codestral 2508
Mistral
|
1,044 | 38.5% | 17.5s | $0.45 | 3,142 |
| 116 |
Qwen3-235B-A22B
Alibaba
|
1,039 | 38.3% | 78.1s | $0.8 | 2,399 |
| 117 |
GPT-4.1 mini
OpenAI
|
1,030 | 47.5% | 71.4s | $0.7 | 688 |
| 118 |
Mercury 2
Inception
|
1,028 | 21.3% | 4.3s | $0.38 | 3,943 |
| 119 |
Olmo 3.1 32B Think
Allenai
|
1,024 | 27.1% | 128.1s | — | 8,236 |
| 120 |
o4-mini
OpenAI
|
1,013 | 46.4% | 38.9s | $1.93 | 885 |
| 121 |
GPT-4.1 nano
OpenAI
|
1,000 | 47.3% | 24.2s | $0.18 | 858 |
| 122 |
GPT OSS 120B
OpenAI
|
1,000 | 33.4% | 24.1s | $0.26 | 2,487 |
| 123 |
Grok 3 Mini
xAI
|
980 | 32.4% | 23.9s | — | 3,594 |
| 124 |
Qwen3 30B-A3B
Alibaba
|
979 | 37.5% | 28.8s | $0.24 | 1,184 |
| 125 |
Llama 3.1 Nemotron Ultra 253B
NVIDIA
|
978 | 27.2% | 32.2s | — | 1,464 |
| 126 |
Mistral Small 3.2
Mistral
|
944 | 39.8% | 17.0s | $0.14 | 567 |
| 127 |
Llama 4 Maverick
Meta Llama
|
916 | 35.8% | 13.1s | $0.35 | 790 |
| 128 |
Mistral Large 2.1 (2411)
Mistral
|
912 | 33.3% | 32.6s | — | 584 |
| 129 |
GPT-4o
OpenAI
|
897 | 34.8% | 14.2s | $4.38 | 850 |
| 130 |
Codestral 2 (2501)
Mistral
|
870 | 30.2% | 6.1s | $0.45 | 702 |
| 131 |
Devstral Small 1.1
Mistral
|
856 | 27.7% | 6.9s | — | 600 |
| 132 |
Llama 4 Scout
Meta Llama
|
826 | 26.6% | 12.0s | $0.15 | 615 |
What this ranking means. ELO summarizes head-to-head preference results inside this category. It is useful evidence for the named task, but it remains separate from the broader Vibe Coding Index.