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Benchmark profile

Vals-hosted GPQA Diamond mirror (Vals GPQA Diamond mirror)

Vals AI hosted GPQA Diamond view with few-shot and zero-shot chain-of-thought task splits.

Data verified

How BenchLM shows Vals GPQA Diamond mirror

BenchLM mirrors the public Vals AI Vals GPQA Diamond mirror leaderboard captured from https://www.vals.ai/benchmarks/gpqa and updated by Vals on July 23, 2026. The snapshot preserves overall scores, uncertainty, latency, cost-per-test metadata, and task-level scores where Vals publishes them.

Vals GPQA Diamond mirror is display only on BenchLM. Vals proprietary or Vals-hosted aggregate views are useful context, but BenchLM does not use them as weighted ranking inputs or as a replacement for benchmark-native source records.

126 Vals rows3 task viewspublic datasetTasks: Overall, Few-Shot CoT, Zero-Shot CoTDisplay only

Vals GPQA Diamond mirror score on Vals GPQA Diamond mirror — July 23, 2026

BenchLM mirrors the published vals gpqa diamond mirror score view for Vals GPQA Diamond mirror. Gemini 3.1 Pro Preview leads the public snapshot at 95.45% , followed by GPT-5.6 Sol (95.20%) and Gemini 3.6 Flash (93.43%). BenchLM does not use these results to rank models overall.

126 modelsExternal benchmark mirrorsCurrentDisplay onlyUpdated July 23, 2026

Vals GPQA Diamond mirror score table (126 models)

Score
2
95.20%
3
93.43%
4
Claude Opus 5Anthropic
93.43%
5
93.18%
6
GPT-5.5OpenAI
93.18%
7
Kimi K3Moonshot AI
92.93%
8
92.93%
9
92.68%
10
MiniMax M3MiniMax
92.68%
11
92.42%
12
91.67%
13
91.67%
14
GPT-5.2OpenAI
91.67%
15
GPT-5.4OpenAI
91.67%
16
91.41%
17
91.16%
18
90.91%
19
90.15%
20
90.15%
21
89.65%
22
89.65%
23
89.39%
24
Kimi K2.6Moonshot AI
89.14%
25
88.89%
27
88.13%
29
87.37%
30
87.37%
31
InklingThinkingmachines
87.12%
32
GPT-5.1OpenAI
86.62%
33
86.62%
36
GPT-5OpenAI
85.61%
37
GLM 5.2Zhipu AI
85.61%
38
85.61%
40
Qwen3 MaxAlibaba
84.85%
41
GLM 5.1Zhipu AI
84.52%
43
O3OpenAI
84.09%
44
84.09%
45
83.84%
46
83.33%
47
83.08%
48
82.83%
49
82.58%
50
82.07%
53
Mimo V2.5Xiaomi
81.57%
56
80.30%
57
80.30%
58
GLM 4.7Zhipu AI
80.05%
59
79.55%
60
Qwen3 MaxAlibaba
79.55%
62
GPT Oss 120bFireworks AI
78.54%
63
78.54%
64
Kimi K2 ThinkingMoonshot AI
78.54%
65
77.78%
66
77.53%
69
DeepSeek V3p2Fireworks AI
76.26%
70
O3 MiniOpenAI
75.50%
73
O4 MiniOpenAI
74.50%
74
GLM 4.6Zhipu AI
74.50%
75
74.24%
76
O1OpenAI
73.23%
79
GLM 4.5Zhipu AI
72.22%
80
Claude Opus 4Anthropic
71.72%
81
71.46%
83
Qwen3 235b A22bFireworks AI
70.20%
84
69.95%
85
69.44%
86
69.44%
87
GPT Oss 20bFireworks AI
68.94%
88
68.43%
89
67.93%
90
67.42%
91
GPT-4.1OpenAI
65.40%
92
65.15%
95
63.38%
97
62.37%
99
DeepSeek V3 0324Fireworks AI
61.62%
100
59.34%
101
59.34%
102
58.33%
103
58.33%
104
Laguna Xs.2Poolside
58.08%
106
DeepSeek V3Fireworks AI
54.55%
107
GPT-4oOpenAI
53.79%
108
50.76%
109
50.76%
110
50.76%
111
GPT-4oOpenAI
50.25%
113
48.48%
114
47.73%
117
45.96%
118
44.19%
119
44.19%
120
37.88%
121
36.11%
122
34.85%
123
32.07%
124
31.06%
125
30.56%
126
Laguna M.1Poolside
27.02%

The published Vals GPQA Diamond mirror snapshot places Gemini 3.1 Pro Preview first at 95.45%. The third row is 2.02 points behind. The broader top-10 range is 2.78 points, so many of the published results sit in a relatively narrow band.

126 models have been evaluated on Vals GPQA Diamond mirror. The benchmark falls in the External benchmark mirrors category. We keep external benchmark mirrors separate from the weighted global scoring system, so these results remain source-specific evidence. Vals GPQA Diamond mirror is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.

About Vals GPQA Diamond mirror

Year

2026

Tasks

GPQA Diamond task splits

Format

Accuracy score

Difficulty

Graduate science reasoning

BenchLM keeps this Vals-hosted GPQA Diamond table separate from canonical GPQA source records.

BenchLM freshness & provenance

Version

Vals GPQA Diamond mirror 2026

Refresh cadence

Quarterly

Staleness state

Current

Question availability

Public benchmark set

CurrentDisplay only

BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.

FAQ

What does Vals GPQA Diamond mirror measure?

Vals AI hosted GPQA Diamond view with few-shot and zero-shot chain-of-thought task splits.

Which model leads the published Vals GPQA Diamond mirror snapshot?

Gemini 3.1 Pro Preview currently leads the published Vals GPQA Diamond mirror snapshot with 95.45% vals gpqa diamond mirror score. BenchLM shows this benchmark for display only and does not use it in overall rankings.

How many models are evaluated on Vals GPQA Diamond mirror?

126 AI models are included in BenchLM's mirrored Vals GPQA Diamond mirror snapshot, based on the public leaderboard captured on July 23, 2026.

Last updated: July 23, 2026 · mirrored from the public benchmark leaderboard

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