MMODELYST
Evals/GPQA Diamond
EVL

GPQA Diamond

Graduate-level QA

Source
benchmarkReasoningAccuracy on the hardest 'Diamond' subset198 items
What this measures

Genuinely hard science questions written by PhDs — biology, physics, chemistry — that are 'Google-proof' (you can't just look up the answer). Tests deep reasoning, not recall.

Sample
A graduate-level question like: 'Which quantum number determines the shape of an atomic orbital?' but at a difficulty where even domain experts score ~65%.
Leaderboard · 99 models
Accuracy on the hardest 'Diamond' subset — higher is better
1Gemini 3.1 Pro Preview
94.1
2GPT-5.6 Sol (max)
94.1
3GPT-5.5
93.5
4Grok 4.5
93.1
5GPT-5.6 Sol
93.1
6MiniMax-M3
92.9
7Claude Fable 5
92.6
8GPT-5.6 Terra (max)
92.5
9Qwen3.7 Max
92.3
10Gemini 3.5 Flash
92.2
11GPT-5.4
92
12Claude Opus 4.8
92
13GPT-5.3 Codex
91.5
14Claude Opus 4.7
91.4
15Grok 4.20 0309 v2
91.1
16Kimi K2.6
91.1
17Claude Sonnet 5
91.1
18GPT-5.6 Luna (max)
91.1
19Gemini 3 Pro Preview
90.8
20GPT-5.6 Terra
90.8
21GPT-5.2
90.3
22Grok 4.3
90.1
23Qwen3.7 Plus
90
24GPT-5.2 Codex
89.9
25Gemini 3 Flash Preview
89.8
26Muse Spark 1.1
89.8
27Claude Opus 4.6
89.6
28Kimi K2.7 Code
89.6
29GLM-5.2 (max)
89.5
30Grok Build 0.1 0616
89.5
31GPT-5.6 Luna
89.5
32DeepSeek V4 Flash
89.4
33Qwen3.5 397B A17B
89.3
34Nex-N2-Pro
89.2
35Qwen3.6 Max Preview
88.8
36DeepSeek V4 Pro
88.8
37Grok 4.20 0309
88.5
38Muse Spark
88.4
39Qwen3.6 Plus
88.2
40Kimi K2.5
87.9
41Grok 4
87.7
42Claude Sonnet 4.6
87.5
43GPT-5.4 mini
87.5
44MiniMax-M2.7
87.4
45GPT-5.1
87.3
46DeepSeek V3.2 Speciale
87.1
47MiMo-V2-Pro
87
48GLM-5.1
86.8
49Hy3-preview
86.7
50Nemotron 3 Ultra 550B A55B
86.7
51Claude Opus 4.5
86.6
52MiMo-V2.5-Pro
86.6
53Qwen3 Max Thinking
86.1
54GPT-5.1 Codex
86
55GLM-4.7
85.9
56Qwen3.5 27B
85.8
57Ring-2.6-1T
85.7
58Qwen3.5 122B A10B
85.7
59Gemma 4 31B
85.7
60KAT Coder Pro V2
85.5
61MiMo-V2-Omni-0327
85.5
62GPT-5
85.4
63Grok 4.1 Fast
85.3
64Nanbeige4.1-3B
84.9
65MiMo-V2.5
84.9
66MiniMax-M2.5
84.8
67Grok 4 Fast
84.7
68GLM-5-Turbo
84.7
69GPT-5.5 Instant (May 2026)
84.6
70MiMo-V2-Flash
84.6
71o3-pro
84.5
72Qwen3.5 35B A3B
84.5
73JT-4.1 Flash 236B A21B
84.5
74Gemini 2.5 Pro
84.4
75Qwen3.6 27B
84.2
76Qwen3.6 35B A3B
84.1
77DeepSeek V3.2
84
78Kimi K2 Thinking
83.8
79GPT-5 Codex
83.7
80Gemini 2.5 Pro Preview (Mar' 25)
83.6
81MiMo-V2-Flash (Feb 2026)
83.5
82Claude 4.5 Sonnet
83.4
83Step 3.5 Flash
83.1
84MiniMax-M2.1
83
85JT-35B-Flash
82.9
86MiMo-V2-Omni
82.8
87o3
82.7
88Qwen3.5 Omni Plus
82.6
89Step 3.5 Flash 2603
82.6
90GPT-5.5 Instant (May 2026)
82.3
91Gemini 2.5 Pro Preview (May' 25)
82.2
92Gemini 3.1 Flash-Lite
82.2
93GLM-5
82
94GPT-5.4 nano
81.7
95DeepSeek R1 0528 (May '25)
81.3
96GPT-5.1 Codex mini
81.3
97ERNIE 4.5 300B A47B
81.1
98Claude 4.1 Opus
80.9
99GLM 5V Turbo
80.9
Benchmark health
saturating

Top models cluster near the ceiling — differences here are getting too small to mean much. Weight newer, harder benchmarks more.

93.0
top-10 mean
94.1
best
99
models
Recent changes
GLM-5.2+68.64d ago
Grok 4.5+93.14d ago
Muse Spark 1.1+89.84d ago
What improves this score

Datasets & environments shown to raise it.

+12.0