Benchmarks / Math

MATH 500 (Vals)

Academic math benchmark on probability, algebra, and trigonometry Scores are the values published by VALS AI. Source benchmark version 1.

47models
–Open Index weight
2026-01-09last updated
Vals AIpublisher

MATH 500 (Vals)

Higher is better · best effort per model

Chart settings
47 of 47 selected

full table below

#ModelEffortScoreCost / taskHarness
1Gemini 3 Prohigh96.4%$0.051–
2Grok 4high96.2%$0.037–
3GPT-5high96.0%$0.020–
4Opus 4.1high95.4%$0.202–
5Gemini 2.5 Prohigh95.2%$0.0079–
6GPT-5 Minihigh94.8%$0.0037–
7gpt-oss-120bhigh94.8%$0.0014–
8o3high94.6%$0.011–
9Qwen 3 235B–94.6%$0.0034–
10o4 minihigh94.2%$0.0048–
11Grok 3 Minihigh94.2%$0.0019–
12gpt-oss-20bhigh94.2%$0.0010–
13Kimi K2medium94.2%$0.0030–
14GLM 4.5xhigh94.0%$0.013–
15GPT-5 Nanohigh93.8%$0.0017–
16Sonnet 4high93.8%$0.068–
17DeepSeek R1xhigh92.2%$0.011–
18o3 minihigh91.8%$0.0077–
19Gemini 2.5 Flashmedium91.8%$0.011–
20Sonnet 3.7medium91.6%$0.125–
21Llama 3.3none91.4%––
22Opus 4medium90.4%$0.045–
23o1high90.4%$0.095–
24Grok 3none89.8%$0.013–
25Gemini 2.0 Flashmedium89.0%$0.0002–
26MiniMax M2.1–89.0%$0.0046–
27DeepSeek V3none88.6%$0.0007–
28GPT-4.1 Minihigh88.0%$0.0012–
29GPT-4.1high87.2%$0.0094–
30Mistral Medium 3.1none87.0%$0.0018–
31Llama 4 Maverickmedium85.2%$0.0006–
32Gemini 1.5 Pronone82.8%$0.0022–
33GPT-4.1 Nanohigh80.2%$0.0003–
34Llama 4 Scoutmedium79.2%$0.0004–
35Gemini 1.5 Flashnone78.8%$0.0001–
36Grok 2none78.4%$0.0063–
37Command Anone76.2%$0.0060–
38GPT-4ohigh75.2%$0.0056–
39Mistral Large 11–74.4%$0.0033–
40GPT-4o minihigh72.6%$0.0003–
41Claude 3.5 Sonnet Latest–72.4%$0.0050–
42Llama 3.1max71.4%$0.0030–
43Mistral Small 02–70.6%$0.0003–
44Mistral Small 3.1none68.4%$0.0002–
45Haiku 3.5medium64.2%$0.0015–
46Jamba 1.6 Largenone54.8%$0.0040–
47Jamba 1.6 Mininone25.4%$0.0003–