Benchmarks / Math

Riemann-Bench

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

39models
–Open Index weight
–last updated
boggspublisher

Riemann-Bench

Higher is better · best effort per model

Chart settings
39 of 39 selected

full table below

#ModelEffortScoreCost / taskHarness
1GPT-5.6 Solmax74.4%––
2GPT-6 Astramax72.0%––
3Opus 5.5max69.6%––
4Opus 5max68.0%––
5GPT-5.6 Terramax66.4%––
6Fable 5.1max65.6%––
7GPT-6 Solmax64.8%––
8Fable 5max60.0%––
9GPT-6 Lunamax59.2%––
10GPT-5.5xhigh55.2%––
11Gemini 3.8 Flashhigh51.2%––
12Opus 4.8max47.2%––
13GPT-5.4xhigh41.6%––
14Gemini 3.7 Flashhigh39.2%––
15DeepSeek V4 Promax38.4%––
16Grok 4.5high38.4%––
17GPT-5.2xhigh37.6%––
18Kimi K3max37.6%––
19Gemini 3.5 Flashhigh36.8%––
20Gemini 3.1 Prohigh33.6%––
21Opus 4.7max32.8%––
22Gemini 3.6 Flashhigh30.4%––
23Muse Spark 1.3xhigh28.0%––
24Opus 4.6max27.2%––
25DeepSeek V4.1 Flashmax24.0%––
26DeepSeek V4 Flashhigh23.2%––
27Muse Spark 1.2xhigh23.2%––
28Muse Spark 1.1xhigh20.8%––
29Inklingxhigh15.2%––
30Qwen 3.7 Maxmax15.2%––
31Qwen 3.8 Maxxhigh15.2%––
32GLM 5.3max12.0%––
33Kimi K2.5max12.0%––
34Opus 4.5high11.2%––
35Gemini 3.5 Flash-Litehigh11.2%––
36GLM 5.2max10.4%––
37GLM 5.3 Flashmax8.8%––
38DeepSeek V3.2high8.0%––
39Kimi K2.6max7.2%––