Benchmarks / Reasoning

PPBench

Score: max success rate. Collected by Jake Boggs' benchmark dashboard.

53models
–Open Index weight
–last updated
boggspublisher

PPBench

Higher is better · best effort per model

Chart settings
53 of 53 selected

full table below

#ModelEffortScoreCost / taskHarness
1Fable 5max97.6%––
2GPT-5.5xhigh83.3%––
3GPT-5.4xhigh70.2%––
4GPT-5.2xhigh56.0%––
5Opus 4.7max50.0%––
6Gemini 3.5 Flashhigh41.9%––
7Qwen 3.7 Maxmax40.0%––
8Opus 4.6max36.7%––
9Gemini 3.1 Prohigh33.3%––
10Sonnet 4.6max26.7%––
11GLM 5.2max26.7%––
12GPT-5.2 Proxhigh26.7%––
13Kimi K2.6max20.0%––
14Gemini 3 Prohigh16.7%––
15Kimi K2.7 Codemax16.7%––
16Qwen 3.7 Plushigh16.7%––
17Qwen 3.6 Plusmax10.0%––
18GPT-5.1medium7.7%––
19MiniMax M3max7.1%––
20Opus 4.5high6.7%––
21Gemini 3 Flashhigh6.7%––
22Grok 4.20xhigh6.7%––
23GPT-5medium6.0%––
24Kimi K2.5max6.0%––
25Grok 4.1 Fasthigh5.7%––
26DeepSeek V4 Promax4.0%––
27Sonnet 4.5high3.3%––
28Grok 4.3xhigh3.3%––
29MiniMax M2.5high3.3%––
30Nemotron 3 Ultramax3.3%––
31o3high3.3%––
32DeepSeek V3.2high2.3%––
33Kimi K2medium1.3%––
34MiMo V2 Pro–1.0%––
35GLM 5high0.7%––
36MiniMax M2.7high0.7%––
37o1high0.7%––
38Qwen 3.5 397B-A17Bmax0.7%––
39Gemini 2.5 Prohigh0.3%––
40Gemma 4 31B IThigh0.3%––
41GLM 4.7none0.3%––
42gpt-oss-120bhigh0.3%––
43MiMo V2 Flashhigh0.3%––
44MiniMax M2.1–0.3%––
45Qwen 3 235B-A22Bxhigh0.3%––
46Qwen 3high0.3%––
47Devstral 2512–0.0%––
48GPT-3.5high0.0%––
49GPT-4.1high0.0%––
50GPT-4ohigh0.0%––
51Mistral Large 2512medium0.0%––
52Mistral Small 2603high0.0%––
53Qwen 3 Codermedium0.0%––