SimpleQA

SimpleQA is a factuality benchmark developed by OpenAI that measures the short-form factual accuracy of large language models. The benchmark contains 4,326 short, fact-seeking questions that are adversarially collected and designed to have single, indisputable answers. Questions cover diverse topics from science and technology to entertainment, and the benchmark also measures model calibration by evaluating whether models know what they know.

DeepSeek-V3.2-Exp from DeepSeek currently leads the SimpleQA leaderboard with a score of 0.971 across 46 evaluated AI models.

Paper

DeepSeekDeepSeek-V3.2-Exp leads with 97.1%, followed by xAIGrok 4 Fast at 95.0% and DeepSeekDeepSeek-V3.1 at 93.4%.

Progress Over Time

Interactive timeline showing model performance evolution on SimpleQA

State-of-the-art frontier
Open
Proprietary

SimpleQA Leaderboard

46 models
ContextCostLicense
1685B
22.0M$0.20 / $0.50
3671B
4671B131K$0.55 / $2.19
5
6
71.0M$0.50 / $3.00
8
OpenAI
OpenAI
91.6T1.0M$1.74 / $3.48
10
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
33B
11
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
235B
12
13
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
236B262K$0.30 / $1.49
141.0M$1.25 / $10.00
15
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
9B262K$0.18 / $2.09
16
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
4B262K$0.10 / $0.60
17
OpenAI
OpenAI
18
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
236B
191.0M$0.25 / $1.50
20
21
OpenAI
OpenAI
128K$2.50 / $10.00
22
Moonshot AI
Moonshot AI
1.0T
23284B1.0M$0.14 / $0.28
24
Moonshot AI
Moonshot AI
1.0T
241.0T
26
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
31B
271.0M$0.30 / $2.50
28
DeepSeek
DeepSeek
671B
29
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
31B
30675B
30675B
30675B
30675B262K$0.50 / $1.50
34
35456B
36456B
37
OpenAI
OpenAI
3824B
39
4024B
4127B
4212B
434B
44
Microsoft
Microsoft
15B
451B
4621B
Notice missing or incorrect data?

FAQ

Common questions about SimpleQA.

What is the SimpleQA benchmark?

SimpleQA is a factuality benchmark developed by OpenAI that measures the short-form factual accuracy of large language models. The benchmark contains 4,326 short, fact-seeking questions that are adversarially collected and designed to have single, indisputable answers. Questions cover diverse topics from science and technology to entertainment, and the benchmark also measures model calibration by evaluating whether models know what they know.

What is the SimpleQA leaderboard?

The SimpleQA leaderboard ranks 46 AI models based on their performance on this benchmark. Currently, DeepSeek-V3.2-Exp by DeepSeek leads with a score of 0.971. The average score across all models is 0.382.

What is the highest SimpleQA score?

The highest SimpleQA score is 0.971, achieved by DeepSeek-V3.2-Exp from DeepSeek.

How many models are evaluated on SimpleQA?

46 models have been evaluated on the SimpleQA benchmark, with 0 verified results and 46 self-reported results.

Where can I find the SimpleQA paper?

The SimpleQA paper is available at https://arxiv.org/abs/2411.04368. The paper details the methodology, dataset construction, and evaluation criteria.

What categories does SimpleQA cover?

SimpleQA is categorized under factuality, general, and reasoning. The benchmark evaluates text models.

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