3D generation rankings
Best AI for 3D
Compare models on Design Arena 3D tournaments. Preference ELO stays task-specific and does not rewrite the Vibe Coding Index.
Current source snapshot
Jul 19, 2026
121 ranked entries
Live category evidence
Current Design Arena leaderboard
| Rank | Model | ELO | Win rate | Average time | Blended price | Tournament runs |
|---|---|---|---|---|---|---|
| 1 |
Kimi K3
Moonshot
|
1,461 | 73.3% | 621.3s | $6 | 674 |
| 2 |
Claude Fable 5
Anthropic
|
1,365 | 66.6% | 129.2s | $22 | 9,212 |
| 3 |
GLM 5.2
Zhipu
|
1,363 | 62.3% | 412.0s | $2.15 | 11,609 |
| 4 |
Grok 4.5
xAI
|
1,346 | 61.3% | 92.0s | $3 | 8,775 |
| 5 |
Claude Opus 4.6 (Thinking)
Anthropic
|
1,342 | 64.0% | 153.6s | $11 | 11,891 |
| 6 |
Kimi K2.6
Moonshot
|
1,341 | 62.1% | 331.3s | $1.71 | 28,760 |
| 7 |
Claude Opus 4.6
Anthropic
|
1,340 | 63.6% | 156.0s | $11 | 19,768 |
| 9 |
Qwen3.7 Plus
Alibaba
|
1,322 | 55.6% | 190.3s | $0.56 | 956 |
| 10 |
Claude Sonnet 5
Anthropic
|
1,321 | 57.0% | 165.2s | $4 | 5,230 |
| 11 |
GLM 5.1
Zhipu
|
1,320 | 59.8% | 322.0s | $2.14 | 6,832 |
| 12 |
DeepSeek-V4-Pro
DeepSeek
|
1,319 | 59.3% | 329.5s | $2.18 | 10,272 |
| 13 |
Qwen3.7 Max
Alibaba
|
1,319 | 58.7% | 187.6s | $2.21 | 13,642 |
| 14 |
GLM 5 Turbo
Zhipu
|
1,317 | 59.3% | 308.0s | $1.9 | 12,894 |
| 15 |
MiMo-V2.5-Pro
Xiaomi
|
1,312 | 57.3% | 203.0s | $1.5 | 5,091 |
| 16 |
Claude Opus 4.7
Anthropic
|
1,311 | 58.8% | 97.3s | $11 | 19,576 |
| 17 |
Muse Spark 1.1
Meta
|
1,310 | 54.6% | 199.0s | $2 | 13,299 |
| 18 |
Kimi K2.7 Code
Moonshot
|
1,310 | 56.0% | 257.3s | $1.71 | 11,579 |
| 19 |
Claude Sonnet 4.6
Anthropic
|
1,300 | 58.4% | 132.3s | $6 | 20,333 |
| 20 |
Gemini 3.1 Pro Preview
Google
|
1,298 | 60.3% | 89.6s | $4.5 | 36,401 |
| 21 |
Gemini 3.5 Flash
Google
|
1,297 | 57.7% | 60.1s | $3.38 | 29,829 |
| 22 |
Nex N2 Pro
Nex Agi
|
1,296 | 53.1% | 477.3s | $0.44 | 3,755 |
| 23 |
GLM 5
Zhipu
|
1,295 | 56.4% | 134.4s | $1.55 | 32,017 |
| 24 |
MiniMax M3
MiniMax
|
1,287 | 55.4% | 123.2s | $0.53 | 7,461 |
| 25 |
Gemini 3 Pro Preview
Google
|
1,287 | 66.4% | 72.7s | $4.5 | 12,275 |
| 26 |
MiMo-V2.5
Xiaomi
|
1,281 | 52.9% | 122.9s | $0.14 | 14,558 |
| 27 |
Claude Opus 4.5
Anthropic
|
1,280 | 58.6% | 86.1s | $10 | 18,998 |
| 28 |
Claude Opus 4.8
Anthropic
|
1,279 | 55.7% | 70.8s | $10 | 16,311 |
| 29 |
GLM 5V Turbo
Zhipu
|
1,276 | 54.8% | 106.0s | $1.9 | 29,832 |
| 30 |
Kimi K2.5 (Thinking)
Moonshot
|
1,271 | 53.4% | 148.5s | $1.3 | 27,147 |
| 31 |
Hy3
Tencent
|
1,267 | 49.9% | 259.8s | $0.25 | 1,047 |
| 32 |
Qwen3.6 Plus
Alibaba
|
1,262 | 51.4% | 167.8s | $0.73 | 16,566 |
| 33 |
GPT-5.5
OpenAI
|
1,258 | 53.0% | 145.2s | $11.25 | 23,121 |
| 34 |
GLM 4.7
Zhipu
|
1,257 | 54.3% | 144.2s | $1 | 29,268 |
| 35 |
Grok 4.20 Beta (Reasoning)
xAI
|
1,257 | 53.7% | 96.4s | $1.56 | 17,038 |
| 36 |
MiniMax M2.7
MiniMax
|
1,256 | 50.8% | 132.7s | $0.53 | 14,675 |
| 37 |
DeepSeek-V4-Flash
DeepSeek
|
1,256 | 49.8% | 103.1s | $0.17 | 11,380 |
| 38 |
Gemini 3 Flash Preview
Google
|
1,250 | 62.7% | 24.4s | $1.13 | 9,357 |
| 39 |
GLM 4.5
Zhipu
|
1,237 | 59.7% | 108.7s | $1 | 9,161 |
| 40 |
MiniMax M2.5
MiniMax
|
1,236 | 57.6% | 93.2s | $0.44 | 5,389 |
| 41 |
MiniMax M2.1
MiniMax
|
1,231 | 57.5% | 96.1s | $0.53 | 9,381 |
| 42 |
Qwen3.5 397B A17B
Alibaba
|
1,227 | 56.7% | 104.7s | $1.09 | 4,149 |
| 43 |
Claude Sonnet 4.5
Anthropic
|
1,225 | 52.5% | 66.2s | $6.6 | 21,364 |
| 44 |
Claude Sonnet 4.5 (Thinking)
Anthropic
|
1,218 | 51.6% | 62.0s | $6.6 | 20,943 |
| 45 |
Claude Opus 4.1
Anthropic
|
1,217 | 51.6% | 76.8s | $30 | 20,472 |
| 46 |
DeepSeek-V3.2-Exp
DeepSeek
|
1,215 | 56.4% | 152.4s | $0.31 | 9,583 |
| 47 |
Grok 4.20 Beta
xAI
|
1,215 | 48.3% | 49.7s | $1.56 | 17,353 |
| 48 |
Claude Opus 4.1 (Thinking)
Anthropic
|
1,207 | 56.5% | 76.9s | $30 | 7,473 |
| 49 |
DeepSeek-V3.1 (Thinking)
DeepSeek
|
1,207 | 56.0% | 155.7s | $0.44 | 7,784 |
| 50 |
Claude Sonnet 4
Anthropic
|
1,206 | 57.8% | 57.0s | $6 | 8,316 |
| 51 |
Claude Opus 4
Anthropic
|
1,205 | 57.7% | 66.6s | $30 | 7,929 |
| 52 |
DeepSeek-V3.2
DeepSeek
|
1,200 | 49.6% | 132.9s | $1 | 14,620 |
| 53 |
Nemotron 3 Ultra
NVIDIA
|
1,200 | 42.9% | 119.2s | $1.05 | 4,921 |
| 54 |
GLM 4.6
Zhipu
|
1,194 | 54.0% | 80.5s | $0.96 | 14,578 |
| 55 |
MiMo-V2-Flash
Xiaomi
|
1,193 | 49.2% | 44.7s | — | 16,624 |
| 56 |
Claude Sonnet 4 (Thinking)
Anthropic
|
1,192 | 54.9% | 53.6s | $6 | 7,680 |
| 57 |
Grok 4.3
xAI
|
1,191 | 44.2% | 52.8s | $1.56 | 29,451 |
| 58 |
GLM 4.5 Air
Zhipu
|
1,189 | 54.1% | 86.6s | $0.43 | 8,103 |
| 59 |
Hy3 Low
Tencent
|
1,189 | 38.9% | 57.8s | $0.25 | 1,268 |
| 60 |
GLM 4.7 Flash
Zhipu
|
1,187 | 51.2% | 116.9s | $0.15 | 5,798 |
| 61 |
Step 3.7 Flash
Stepfun
|
1,186 | 42.5% | 96.5s | $0.44 | 8,234 |
| 62 |
Qwen3.5 Plus 02-15
Alibaba
|
1,185 | 47.8% | 97.7s | $0.59 | 9,623 |
| 63 |
DeepSeek-R1-0528
DeepSeek
|
1,178 | 53.4% | 68.6s | $1.15 | 8,357 |
| 64 |
Claude 3.7 Sonnet
Anthropic
|
1,172 | 51.9% | 79.3s | — | 7,529 |
| 65 |
GPT-5.4 (Medium)
OpenAI
|
1,167 | 42.3% | 196.1s | $5.63 | 10,752 |
| 66 |
Mistral Large 3 (2512)
Mistral
|
1,165 | 46.9% | 66.8s | $0.75 | 14,978 |
| 67 |
Prime Intellect. INTELLECT-3
Prime Intellect
|
1,164 | 45.1% | 59.1s | — | 15,077 |
| 68 |
MiniMax M2 Stable
MiniMax
|
1,164 | 48.3% | 101.4s | $0.45 | 5,275 |
| 69 |
DeepSeek-V3-0324
DeepSeek
|
1,154 | 50.7% | 43.2s | $0.63 | 9,090 |
| 70 |
Gemini 2.5 Pro
Google
|
1,149 | 52.2% | 56.9s | $3.44 | 3,849 |
| 71 |
Mistral Medium 3 (2505)
Mistral
|
1,149 | 54.6% | 51.4s | $0.8 | 2,890 |
| 72 |
Mistral Medium 3.1 (2508)
Mistral
|
1,148 | 44.7% | 77.9s | $0.8 | 14,173 |
| 73 |
Trinity Large Thinking
Arcee Ai
|
1,147 | 41.3% | 67.7s | $0.39 | 6,482 |
| 74 |
Grok Code Fast 1
xAI
|
1,146 | 50.4% | 13.7s | — | 8,460 |
| 75 |
GPT-5.2 (Medium)
OpenAI
|
1,146 | 41.6% | 138.8s | $4.81 | 15,472 |
| 76 |
DeepSeek-V3.1
DeepSeek
|
1,144 | 48.0% | 28.8s | $0.46 | 9,535 |
| 77 |
Claude Haiku 4.5
Anthropic
|
1,139 | 41.2% | 29.8s | $2.2 | 18,482 |
| 78 |
Grok 4.1 Fast
xAI
|
1,139 | 42.8% | 24.3s | — | 16,318 |
| 79 |
GPT-5.2 (None)
OpenAI
|
1,139 | 40.8% | 131.7s | $4.81 | 16,148 |
| 80 |
Qwen3 Max
Alibaba
|
1,139 | 43.5% | 73.0s | $1.56 | 16,354 |
| 81 |
Gemini 2.5 Flash Preview 09-2025
Google
|
1,137 | 47.4% | 22.4s | $0.85 | 9,097 |
| 82 |
GPT-5.4 (Low)
OpenAI
|
1,133 | 39.2% | 65.1s | $5.63 | 11,777 |
| 83 |
Grok 4 Fast
xAI
|
1,133 | 41.7% | 31.5s | — | 18,019 |
| 84 |
GPT-5.2 (Low)
OpenAI
|
1,133 | 42.1% | 127.4s | $4.81 | 13,533 |
| 85 |
Grok 4 Fast (Reasoning)
xAI
|
1,129 | 41.2% | 21.0s | — | 18,584 |
| 86 |
GPT-5.1 (High)
OpenAI
|
1,128 | 43.9% | 150.1s | $3.44 | 8,405 |
| 87 |
Grok 4
xAI
|
1,128 | 44.3% | 52.6s | — | 11,878 |
| 88 |
Grok 3
xAI
|
1,127 | 44.3% | 27.2s | — | 13,192 |
| 89 |
GPT-5 (Minimal)
OpenAI
|
1,122 | 41.4% | 117.3s | $3.44 | 17,333 |
| 90 |
GPT-5.2 (High)
OpenAI
|
1,120 | 45.3% | 120.0s | $4.81 | 1,661 |
| 91 |
GPT-5.1 (None)
OpenAI
|
1,117 | 43.0% | 81.7s | $3.44 | 10,899 |
| 92 |
GPT-5.4 (None)
OpenAI
|
1,115 | 37.1% | 55.0s | $5.63 | 13,539 |
| 93 |
Gemini 3.1 Flash-Lite Preview
Google
|
1,114 | 38.8% | 4.5s | $0.56 | 12,911 |
| 94 |
Devstral Medium
Mistral
|
1,110 | 48.1% | 17.0s | — | 3,285 |
| 95 |
GPT-5.1 (Low)
OpenAI
|
1,110 | 42.1% | 74.6s | $3.44 | 10,832 |
| 96 |
GPT-5.1 (Medium)
OpenAI
|
1,105 | 41.5% | 95.2s | $3.44 | 10,709 |
| 97 |
GPT-5 mini (Default)
OpenAI
|
1,104 | 37.0% | 101.0s | $0.69 | 19,372 |
| 98 |
Grok 4.1 Fast (Reasoning)
xAI
|
1,100 | 37.4% | 57.7s | — | 16,053 |
| 99 |
Ministral 3 8B (2512)
Mistral
|
1,098 | 46.2% | 33.2s | $0.3 | 1,034 |
| 100 |
GPT-5 (High)
OpenAI
|
1,095 | 40.2% | 155.4s | $3.44 | 6,807 |
| 101 |
Gemini 2.5 Flash
Google
|
1,088 | 44.6% | 45.2s | $0.85 | 3,254 |
| 102 |
Codestral 2508
Mistral
|
1,087 | 45.5% | 7.8s | $0.45 | 3,142 |
| 103 |
Olmo 3.1 32B Think
Allenai
|
1,079 | 35.5% | 109.3s | — | 8,236 |
| 104 |
GPT-5.3 Codex
OpenAI
|
1,074 | 35.3% | 46.0s | $4.81 | 11,788 |
| 105 |
Qwen3-235B-A22B-Thinking-2507
Alibaba
|
1,065 | 40.7% | 87.6s | $0.75 | 2,908 |
| 106 |
Llama 3.1 Nemotron Ultra 253B
NVIDIA
|
1,061 | 39.0% | 21.5s | — | 1,464 |
| 107 |
Qwen3-235B-A22B-Instruct-2507
Alibaba
|
1,060 | 41.1% | 39.5s | $0.3 | 3,206 |
| 108 |
Ministral 3 14B (2512)
Mistral
|
1,056 | 39.6% | 53.6s | $0.35 | 1,017 |
| 109 |
GPT-5.1 Codex Mini
OpenAI
|
1,055 | 32.9% | 34.4s | $0.69 | 17,161 |
| 110 |
Mercury 2
Inception
|
1,050 | 24.9% | 3.3s | $0.38 | 3,943 |
| 111 |
Gemini 2.5 Flash Lite Preview 09-2025
Google
|
1,034 | 36.5% | 6.5s | — | 3,139 |
| 112 |
Grok 3 Mini
xAI
|
1,033 | 41.5% | 18.4s | — | 3,594 |
| 113 |
GPT-5 nano (Default)
OpenAI
|
1,030 | 36.1% | 88.2s | $0.14 | 3,043 |
| 114 |
Ministral 3 3B (2512)
Mistral
|
1,029 | 35.9% | 29.2s | $0.15 | 1,253 |
| 115 |
GPT-4.1 nano
OpenAI
|
991 | 46.0% | 17.1s | $0.18 | 858 |
| 116 |
GPT OSS 120B
OpenAI
|
967 | 29.4% | 16.9s | $0.26 | 2,487 |
| 117 |
Llama 4 Maverick
Meta Llama
|
966 | 40.2% | 9.5s | $0.35 | 790 |
| 118 |
GPT-4o
OpenAI
|
935 | 39.2% | 11.5s | $4.38 | 850 |
| 119 |
Qwen3-235B-A22B
Alibaba
|
925 | 24.5% | 67.8s | $0.8 | 2,399 |
| 120 |
o4-mini
OpenAI
|
919 | 34.0% | 30.6s | $1.93 | 885 |
| 121 |
GPT-4.1
OpenAI
|
916 | 30.9% | 67.8s | $3.5 | 763 |
| 122 |
GPT-4.1 mini
OpenAI
|
903 | 30.5% | 61.7s | $0.7 | 688 |
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.