Benchmarks / Coding

WeirdML v2

17 ML tasks where models write Python pipelines from scratch (shape inference, chess winners, Kolmogorov shuffles); mean accuracy across tasks.

111models
–Open Index weight
–last updated
WeirdMLpublisher

WeirdML v2

Higher is better · best effort per model

Chart settings
111 of 111 selected

full table below

#ModelEffortScoreCost / taskHarness
1GPT-6 Astra Proxhigh93.6%$29.31–
2GPT-6 Astraxhigh93.3%$7.75–
3Fable 5.1xhigh92.9%$11.69–
4Fable 5xhigh91.9%$8.42–
5Opus 5xhigh91.8%$4.74–
6GPT-5.6 Sol Proxhigh89.4%$3.87–
7GPT-5.6 Solmax88.8%$1.25–
8GPT-5.5xhigh84.9%$2.57–
9Gemini 3.8 Flashmax84.8%$0.507–
10Opus 4.8xhigh82.9%$2.35–
11Kimi K3max82.6%$2.05–
12GPT-5.6 Terramax78.3%$0.250–
13Opus 4.6max77.9%$5.78–
14GPT-5.3 Codexxhigh77.9%$2.45–
15GPT-5.4xhigh77.7%$5.72–
16Opus 4.7max76.4%$1.82–
17GLM 5.3max75.4%$0.535–
18Qwen 3.8xhigh75.2%$1.42–
19GPT-5.2xhigh72.2%$2.05–
20Gemini 3.1 Prohigh72.1%$1.36–
21GLM 5.2xhigh70.1%$0.507–
22Gemini 3 Prohigh69.9%$0.526–
23Sonnet 5high68.8%$0.895–
24Grok 4.6max67.3%$0.335–
25DeepSeek V4 Pro 0813max66.2%$0.191–
26Sonnet 4.6max66.1%$2.86–
27Opus 4.5high63.7%$0.738–
28DeepSeek V4 Flash 0731max63.0%$0.029–
29Gemini 3.5 Flashxhigh62.6%$0.756–
30Gemini 3 Flashhigh61.6%$0.222–
31GPT-5.6 Lunamax60.9%$0.040–
32GPT-5.1high60.8%$0.691–
33GPT-5.2025high60.7%$0.593–
34GPT-5 Prohigh60.4%$7.65–
35GPT-5.4 Minixhigh60.3%$1.29–
36Muse Spark 1.2xhigh60.3%$0.380–
37o3 prohigh58.2%$2.54–
38GLM 5.1max57.1%$0.318–
39Gemini 3.6 Flashxhigh56.1%$0.623–
40Kimi K2.6max55.9%$0.350–
41GPT-5 Codexhigh54.5%$1.10–
42Kimi K2.7 Codemax54.1%$0.232–
43Gemini 2.5 Prohigh54.0%$0.410–
44GPT-5 Minihigh52.7%$0.110–
45o4 minihigh52.6%$0.196–
46o3high52.4%$0.226–
47Grok 4.20xhigh52.3%$0.126–
48Gemma 4 31B IThigh52.3%$0.013–
49Gemini 3.1 Flash-Litehigh52.2%$0.066–
50Grok 4.3xhigh49.9%$0.090–
51GPT-5.4 Nanoxhigh49.2%$0.048–
52DeepSeek V4 Promax48.9%$0.085–
53GLM 5high48.2%$0.079–
54gpt-oss-120bhigh48.2%$0.033–
55o1high47.6%$1.85–
56DeepSeek V3.2high46.7%$0.035–
57Grok 4.5max46.4%$0.080–
58Opus 4.1high45.9%$1.76–
59Grok 4.07–45.7%$0.452–
60DeepSeek V4 Flashmax45.6%$0.015–
61Kimi K2.5max45.6%$0.053–
62Mistral Medium 3.5high43.7%$0.278–
63o3 minihigh43.7%$0.174–
64Nemotron 3 Ultramax43.5%$0.077–
65Mercury 2high43.2%$0.030–
66Grok 4 Fastnone42.9%$0.013–
67Kimi K2medium42.8%$0.081–
68Grok 3 Minihigh42.6%$0.017–
69Gemini 2.5 Flashmedium41.9%$0.073–
70DeepSeek R1.0528–41.6%$0.071–
71Qwen 3 Codermedium41.2%$0.073–
72Qwen 3 235B-A22Bxhigh41.0%$0.020–
73gpt-oss-20bhigh40.9%$0.011–
74GLM 4.5xhigh40.6%$0.073–
75Sonnet 3.5medium40.0%$0.248–
76GPT-5high39.8%$0.079–
77Qwen 3.5 27Bhigh39.5%$0.040–
78GPT-4.5none39.4%$1.58–
79GPT-4.1high39.0%$0.097–
80Gemini 3.5 Flash-Litexhigh39.0%$0.047–
81DeepSeek V3.1none38.4%$0.031–
82GPT-5 Nanohigh38.1%$0.026–
83GPT-4.1 Minihigh37.6%$0.017–
84Grok 3none37.2%$0.248–
85MiniMax M2.7high36.9%$0.035–
86Kimi K2.0905–36.7%$0.042–
87DeepSeek R1xhigh36.5%$0.079–
88o1 minihigh36.3%$0.111–
89DeepSeek V3.0324–36.1%$0.014–
90Gemini 2.5 Flash Litenone35.2%$0.030–
91Gemma 4 26Bxhigh35.2%$0.021–
92Qwen 3.6 35B-A3Bmax34.5%$0.060–
93Mistral Medium 3.1none33.1%$0.040–
94Inklingmax32.3%$0.126–
95Haiku 3.5medium30.7%$0.057–
96Qwen 3 30B-A3Bnone29.8%$0.0081–
97Gemini 2.0 Flashmedium25.8%$0.0067–
98GPT-4ohigh25.1%$0.084–
99Llama 4 Maverickmedium24.5%$0.0061–
100Grok 2.1212–22.2%$0.114–
101Llama 3.1 405bnone21.4%$0.020–
102GPT-4.1 Nanohigh19.0%$0.0026–
103GPT-4high18.0%$0.321–
104Qwen 2.5 72Bnone16.0%$0.011–
105Llama 3.3 70bnone14.4%$0.0015–
106GPT-4o minihigh11.8%$0.0053–
107Qwen 2 72Bnone11.3%$0.010–
108Haiku 3medium9.8%$0.014–
109Llama 3.1 70bnone9.0%$0.0032–
110GPT-3.5high3.5%$0.042–
111Llama 3.1 8bmedium1.7%$0.0004–