Game development rankings
Best AI for game development
Compare models on game-building work using current Design Arena preference results. The ranking stays separate from the main Vibe Coding Index.
Current source snapshot
Jul 17, 2026
129 ranked entries
Live category evidence
Current Design Arena leaderboard
| Rank | Model | ELO | Win rate | Average time | Blended price | Tournament runs |
|---|---|---|---|---|---|---|
| 1 |
Claude Fable 5
Anthropic
|
1,396 | 66.7% | 175.9s | $22 | 8,663 |
| 2 |
GLM 5.2
Zhipu
|
1,349 | 60.8% | 411.4s | $2.15 | 11,176 |
| 3 |
Claude Sonnet 5
Anthropic
|
1,345 | 59.9% | 145.0s | $4 | 5,230 |
| 4 |
GPT-5.5
OpenAI
|
1,343 | 62.2% | 161.7s | $11.25 | 22,204 |
| 5 |
Claude Opus 4.6 (Thinking)
Anthropic
|
1,337 | 63.0% | 185.2s | $11 | 11,862 |
| 6 |
Claude Opus 4.7
Anthropic
|
1,336 | 61.2% | 147.5s | $11 | 19,389 |
| 7 |
Claude Opus 4.6
Anthropic
|
1,335 | 62.9% | 193.1s | $11 | 19,598 |
| 8 |
MiMo-V2.5-Pro
Xiaomi
|
1,331 | 61.0% | 296.6s | $1.5 | 5,024 |
| 9 |
Grok 4.5
xAI
|
1,331 | 54.5% | 110.6s | $3 | 5,992 |
| 10 |
GLM 5.1
Zhipu
|
1,328 | 61.4% | 404.0s | $2.14 | 6,779 |
| 11 |
Muse Spark 1.1
Meta
|
1,327 | 56.1% | 248.4s | $2 | 10,843 |
| 12 |
Gemini 3.5 Flash
Google
|
1,319 | 57.6% | 86.6s | $3.38 | 28,872 |
| 13 |
Claude Sonnet 4.6
Anthropic
|
1,315 | 60.2% | 177.0s | $6 | 20,153 |
| 14 |
GLM 5 Turbo
Zhipu
|
1,315 | 59.0% | 402.1s | $1.9 | 12,847 |
| 15 |
Qwen3.7 Max
Alibaba
|
1,315 | 57.9% | 243.1s | $2.21 | 12,830 |
| 16 |
Kimi K2.6
Moonshot
|
1,307 | 57.5% | 420.5s | $1.71 | 28,120 |
| 17 |
Claude Opus 4.8
Anthropic
|
1,302 | 55.1% | 101.9s | $10 | 15,466 |
| 18 |
GPT-5.4 (Medium)
OpenAI
|
1,298 | 57.8% | 202.5s | $5.63 | 10,752 |
| 19 |
GLM 5
Zhipu
|
1,292 | 57.4% | 190.3s | $1.55 | 31,968 |
| 20 |
MiMo-V2.5
Xiaomi
|
1,291 | 55.4% | 188.0s | $0.14 | 14,447 |
| 21 |
Claude Opus 4.5
Anthropic
|
1,288 | 59.4% | 126.1s | $10 | 18,995 |
| 22 |
DeepSeek-V4-Pro
DeepSeek
|
1,288 | 55.8% | 375.6s | $2.18 | 10,218 |
| 23 |
GLM 5V Turbo
Zhipu
|
1,280 | 54.5% | 163.8s | $1.9 | 29,673 |
| 24 |
MiniMax M3
MiniMax
|
1,280 | 51.5% | 129.4s | $0.53 | 7,186 |
| 25 |
Qwen3.7 Plus
Alibaba
|
1,276 | 48.3% | 327.9s | $0.56 | 848 |
| 26 |
Kimi K2.7 Code
Moonshot
|
1,270 | 50.6% | 304.7s | $1.71 | 10,711 |
| 27 |
MiniMax M2.7
MiniMax
|
1,265 | 53.0% | 207.5s | $0.53 | 14,613 |
| 28 |
Kimi K2.5 (Thinking)
Moonshot
|
1,264 | 53.5% | 229.4s | $1.3 | 27,045 |
| 29 |
Qwen3.6 Plus
Alibaba
|
1,262 | 51.8% | 269.0s | $0.73 | 16,468 |
| 30 |
Nex N2 Pro
Nex Agi
|
1,261 | 48.5% | 484.2s | $0.44 | 3,681 |
| 31 |
Gemini 3.1 Pro Preview
Google
|
1,257 | 54.3% | 102.1s | $4.5 | 36,203 |
| 32 |
Grok 4.20 Beta (Reasoning)
xAI
|
1,255 | 53.5% | 93.1s | $1.56 | 16,956 |
| 33 |
DeepSeek-V4-Flash
DeepSeek
|
1,254 | 50.4% | 172.6s | $0.17 | 11,320 |
| 34 |
GPT-5.2 (Low)
OpenAI
|
1,253 | 56.0% | 181.1s | $4.81 | 13,533 |
| 35 |
Gemini 3 Pro Preview
Google
|
1,253 | 60.6% | 95.5s | $4.5 | 12,275 |
| 36 |
GPT-5.4 (None)
OpenAI
|
1,252 | 53.6% | 91.4s | $5.63 | 13,537 |
| 37 |
GPT-5.4 (Low)
OpenAI
|
1,250 | 52.9% | 95.4s | $5.63 | 11,777 |
| 38 |
GLM 4.7
Zhipu
|
1,247 | 55.1% | 167.7s | $1 | 29,267 |
| 39 |
GPT-5 (High)
OpenAI
|
1,245 | 59.5% | 175.6s | $3.44 | 6,807 |
| 40 |
GPT-5.2 (High)
OpenAI
|
1,245 | 56.7% | 169.8s | $4.81 | 1,661 |
| 41 |
GPT-5.2 (Medium)
OpenAI
|
1,242 | 52.8% | 187.0s | $4.81 | 15,472 |
| 42 |
GPT-5.1 (High)
OpenAI
|
1,237 | 55.9% | 164.6s | $3.44 | 8,405 |
| 43 |
MiniMax M2.5
MiniMax
|
1,235 | 55.5% | 140.5s | $0.44 | 5,389 |
| 44 |
Grok 4.3
xAI
|
1,235 | 49.5% | 108.3s | $1.56 | 29,275 |
| 45 |
GPT-5.2 (None)
OpenAI
|
1,235 | 52.0% | 180.6s | $4.81 | 16,146 |
| 46 |
Claude Opus 4.1 (Thinking)
Anthropic
|
1,230 | 58.5% | 111.6s | $30 | 7,473 |
| 47 |
Claude Opus 4
Anthropic
|
1,229 | 59.9% | 91.3s | $30 | 7,932 |
| 48 |
Grok 4.20 Beta
xAI
|
1,226 | 50.0% | 60.9s | $1.56 | 17,286 |
| 49 |
Claude Sonnet 4.5
Anthropic
|
1,225 | 51.6% | 96.4s | $6.6 | 21,320 |
| 50 |
Gemini 3 Flash Preview
Google
|
1,225 | 58.3% | 35.6s | $1.13 | 9,357 |
| 51 |
Claude Opus 4.1
Anthropic
|
1,222 | 51.4% | 110.8s | $30 | 20,469 |
| 52 |
Claude Sonnet 4.5 (Thinking)
Anthropic
|
1,222 | 50.9% | 96.2s | $6.6 | 20,899 |
| 53 |
GPT-5.3 Codex
OpenAI
|
1,219 | 51.2% | 65.1s | $4.81 | 11,788 |
| 54 |
GPT-5.1 (Medium)
OpenAI
|
1,217 | 54.2% | 128.4s | $3.44 | 10,709 |
| 55 |
GPT-5 (Minimal)
OpenAI
|
1,213 | 52.3% | 137.0s | $3.44 | 17,332 |
| 56 |
GPT-5.1 (Low)
OpenAI
|
1,209 | 53.3% | 102.5s | $3.44 | 10,832 |
| 57 |
GLM 4.6
Zhipu
|
1,208 | 54.6% | 109.1s | $0.96 | 14,578 |
| 58 |
Claude 3.7 Sonnet
Anthropic
|
1,203 | 54.3% | 131.9s | — | 7,529 |
| 59 |
DeepSeek-V3.2-Exp
DeepSeek
|
1,203 | 53.1% | 228.0s | $0.31 | 9,583 |
| 60 |
GLM 4.5
Zhipu
|
1,203 | 54.4% | 139.7s | $1 | 9,161 |
| 61 |
Step 3.7 Flash
Stepfun
|
1,200 | 41.2% | 143.1s | $0.44 | 8,165 |
| 62 |
Qwen3.5 397B A17B
Alibaba
|
1,198 | 50.1% | 142.5s | $1.09 | 4,149 |
| 63 |
Claude Sonnet 4 (Thinking)
Anthropic
|
1,197 | 54.9% | 74.2s | $6 | 7,680 |
| 64 |
GPT-5.1 Codex
OpenAI
|
1,197 | 52.3% | 108.9s | $3.44 | 1,931 |
| 65 |
MiMo-V2-Flash
Xiaomi
|
1,197 | 48.6% | 66.6s | — | 16,624 |
| 66 |
GLM 4.7 Flash
Zhipu
|
1,193 | 49.7% | 153.7s | $0.15 | 5,798 |
| 67 |
MiniMax M2.1
MiniMax
|
1,193 | 50.4% | 131.5s | $0.53 | 9,381 |
| 68 |
Claude Sonnet 4
Anthropic
|
1,192 | 55.4% | 79.0s | $6 | 8,318 |
| 69 |
DeepSeek-V3.2
DeepSeek
|
1,191 | 46.7% | 182.6s | $1 | 14,620 |
| 70 |
GPT-5.1 (None)
OpenAI
|
1,190 | 50.5% | 106.3s | $3.44 | 10,899 |
| 71 |
Hy3 Low
Tencent
|
1,190 | 38.5% | 88.4s | $0.25 | 1,187 |
| 72 |
DeepSeek-V3.1 (Thinking)
DeepSeek
|
1,189 | 52.5% | 235.2s | $0.44 | 7,784 |
| 73 |
GPT-5 mini (Default)
OpenAI
|
1,187 | 46.4% | 138.5s | $0.69 | 19,371 |
| 74 |
Nemotron 3 Ultra
NVIDIA
|
1,186 | 39.0% | 136.9s | $0 | 4,868 |
| 75 |
MiniMax M2 Stable
MiniMax
|
1,176 | 48.1% | 131.1s | $0.45 | 5,275 |
| 76 |
Gemini 2.5 Pro
Google
|
1,170 | 55.1% | 86.9s | $3.44 | 3,845 |
| 77 |
Qwen3.5 Plus 02-15
Alibaba
|
1,164 | 42.7% | 136.5s | $0.59 | 9,623 |
| 78 |
Qwen3 Coder 480B A35B Instruct
Alibaba
|
1,160 | 59.0% | 59.0s | $0.67 | 902 |
| 79 |
DeepSeek-R1-0528
DeepSeek
|
1,157 | 49.5% | 107.1s | $1.15 | 8,357 |
| 80 |
Claude Haiku 4.5
Anthropic
|
1,155 | 44.6% | 47.2s | $2.2 | 18,482 |
| 81 |
GLM 4.5 Air
Zhipu
|
1,153 | 48.4% | 117.4s | $0.43 | 8,103 |
| 82 |
Qwen3 Max
Alibaba
|
1,153 | 43.9% | 121.5s | $1.56 | 16,354 |
| 83 |
GPT-5.1 Codex Mini
OpenAI
|
1,151 | 43.5% | 75.1s | $0.69 | 17,161 |
| 84 |
DeepSeek-V3.1
DeepSeek
|
1,143 | 47.2% | 48.7s | $0.46 | 9,535 |
| 85 |
Prime Intellect. INTELLECT-3
Prime Intellect
|
1,142 | 41.1% | 87.2s | — | 15,077 |
| 86 |
GPT-4.1
OpenAI
|
1,138 | 59.1% | 97.2s | $3.5 | 767 |
| 87 |
Mistral Large 3 (2512)
Mistral
|
1,138 | 41.5% | 113.7s | $0.75 | 14,978 |
| 88 |
Trinity Large Thinking
Arcee Ai
|
1,134 | 38.1% | 94.7s | $0.39 | 6,482 |
| 89 |
Grok 4.1 Fast
xAI
|
1,133 | 40.5% | 34.8s | — | 16,318 |
| 90 |
Mistral Medium 3.1 (2508)
Mistral
|
1,132 | 40.7% | 121.2s | $0.8 | 14,173 |
| 91 |
Grok 4 Fast
xAI
|
1,131 | 40.5% | 41.0s | — | 18,019 |
| 92 |
GPT-4.1 mini
OpenAI
|
1,129 | 58.5% | 86.6s | $0.7 | 681 |
| 93 |
Grok 4.1 Fast (Reasoning)
xAI
|
1,127 | 39.5% | 97.5s | — | 16,053 |
| 94 |
Gemini 2.5 Flash Preview 09-2025
Google
|
1,124 | 44.3% | 45.2s | $0.85 | 9,097 |
| 95 |
DeepSeek-V3-0324
DeepSeek
|
1,112 | 43.9% | 70.9s | $0.63 | 9,090 |
| 96 |
Gemini 2.5 Flash Lite Preview 09-2025
Google
|
1,105 | 45.9% | 14.1s | — | 3,139 |
| 97 |
GPT-5 nano (Default)
OpenAI
|
1,104 | 46.6% | 98.0s | $0.14 | 3,043 |
| 98 |
Ministral 3 14B (2512)
Mistral
|
1,097 | 43.6% | 90.6s | $0.35 | 1,017 |
| 99 |
o3
OpenAI
|
1,093 | 56.9% | 53.7s | $3.5 | 590 |
| 100 |
Grok 3
xAI
|
1,091 | 38.8% | 51.5s | — | 13,192 |
| 101 |
Gemini 3.1 Flash-Lite Preview
Google
|
1,090 | 34.0% | 5.4s | $0.56 | 12,910 |
| 102 |
Grok 4 Fast (Reasoning)
xAI
|
1,087 | 35.1% | 30.1s | — | 18,584 |
| 103 |
Mistral Medium 3 (2505)
Mistral
|
1,077 | 45.3% | 67.1s | $0.8 | 2,890 |
| 104 |
Grok 4
xAI
|
1,068 | 35.6% | 82.8s | — | 11,878 |
| 105 |
Gemini 2.5 Flash
Google
|
1,062 | 43.5% | 78.2s | $0.85 | 3,254 |
| 106 |
o4-mini
OpenAI
|
1,061 | 50.0% | 35.8s | $1.93 | 877 |
| 107 |
Grok Code Fast 1
xAI
|
1,055 | 40.1% | 19.6s | — | 8,460 |
| 108 |
GPT OSS 120B
OpenAI
|
1,052 | 40.6% | 23.3s | $0.26 | 2,487 |
| 109 |
Devstral Medium
Mistral
|
1,050 | 41.3% | 20.9s | — | 3,285 |
| 110 |
Ministral 3 8B (2512)
Mistral
|
1,049 | 38.7% | 51.3s | $0.3 | 1,034 |
| 111 |
Mercury 2
Inception
|
1,035 | 21.2% | 3.8s | $0.38 | 3,857 |
| 112 |
Kimi K2
Moonshot
|
1,032 | 46.4% | 70.8s | $1 | 596 |
| 113 |
Olmo 3.1 32B Think
Allenai
|
1,032 | 28.5% | 151.5s | — | 8,236 |
| 114 |
GPT-4.1 nano
OpenAI
|
1,029 | 49.6% | 21.7s | $0.18 | 858 |
| 115 |
Codestral 2508
Mistral
|
1,025 | 36.2% | 14.9s | $0.45 | 3,142 |
| 116 |
Qwen3-235B-A22B-Thinking-2507
Alibaba
|
1,016 | 34.3% | 122.0s | $0.75 | 2,908 |
| 117 |
Grok 3 Mini
xAI
|
1,014 | 39.4% | 27.0s | — | 3,594 |
| 118 |
Qwen3-235B-A22B-Instruct-2507
Alibaba
|
1,010 | 35.2% | 64.0s | $0.3 | 3,206 |
| 119 |
Ministral 3 3B (2512)
Mistral
|
1,007 | 33.0% | 34.8s | $0.15 | 1,253 |
| 120 |
Qwen3-235B-A22B
Alibaba
|
987 | 33.1% | 95.3s | $0.8 | 2,399 |
| 121 |
GPT-4o
OpenAI
|
965 | 42.3% | 18.3s | $4.38 | 854 |
| 122 |
Qwen3 30B-A3B
Alibaba
|
956 | 33.8% | 31.9s | $0.24 | 1,184 |
| 123 |
Mistral Large 2.1 (2411)
Mistral
|
953 | 37.9% | 35.8s | — | 584 |
| 124 |
Mistral Small 3.2
Mistral
|
947 | 39.4% | 14.8s | $0.14 | 567 |
| 125 |
Llama 3.1 Nemotron Ultra 253B
NVIDIA
|
936 | 23.4% | 33.0s | — | 1,464 |
| 126 |
Llama 4 Maverick
Meta Llama
|
896 | 33.7% | 14.3s | $0.35 | 790 |
| 127 |
Codestral 2 (2501)
Mistral
|
870 | 27.6% | 6.8s | $0.45 | 702 |
| 128 |
Devstral Small 1.1
Mistral
|
846 | 26.7% | 9.8s | — | 600 |
| 129 |
Llama 4 Scout
Meta Llama
|
831 | 27.4% | 14.9s | $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.