Benchmarks / Reasoning

ComplexConstraints

Uses Surge AI's first-party leaderboard score. Score: score. Collected by Jake Boggs' benchmark dashboard.

39models
–Open Index weight
–last updated
boggspublisher

ComplexConstraints

Higher is better · best effort per model

Chart settings
39 of 39 selected

full table below

#ModelEffortScoreCost / taskHarness
1GPT-6 Astramax57.7%––
2Gemini 4high53.3%––
3Muse Spark 1.3xhigh51.9%––
4GPT-6 Solmax50.8%––
5GPT-5.6 Solmax50.5%––
6Opus 5.5max49.9%––
7DeepSeek V4.1 Flashmax49.7%––
8GPT-5.5xhigh49.5%––
9Grok 4.7xhigh48.9%––
10Gemini 3.8 Flashhigh48.4%––
11GPT-5.4xhigh46.0%––
12Qwen 3.8 Maxxhigh45.5%––
13Fable 5.1max45.1%––
14Gemini 3.1 Prohigh43.7%––
15Qwen 3.8 Flashxhigh43.3%––
16Gemini 3.7 Flashhigh42.4%––
17DeepSeek V4 Promax42.0%––
18Gemini 3.6 Flashhigh40.0%––
19DeepSeek V4 Flashmax39.9%––
20Muse Spark 1.2xhigh39.9%––
21Fable 5max38.1%––
22Muse Spark 1.1xhigh38.1%––
23Kimi K3max37.9%––
24Opus 5max37.3%––
25Grok 4.6xhigh36.5%––
26Grok 4.5high35.9%––
27Opus 4.8max35.6%––
28Hy3high34.3%––
29Qwen 3.7 Maxmax33.5%––
30GLM 5.3max30.5%––
31Kimi K2.6max30.1%––
32GLM 5.2max29.3%––
33GLM 5.3 Flashmax27.6%––
34Gemini 3.5 Flash-Litehigh23.2%––
35Kimi K2.5max18.2%––
36Nemotron 3 Ultra 550B A55Bmax17.8%––
37Qwen 3.5 Plusnone17.8%––
38Grok 4.20xhigh16.4%––
39Mistral Large 3none0.4%––