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Model catalogDeepSeek-V3.1Benchmark analysis

DeepSeek-V3.1 Benchmark Details

Below are DeepSeek-V3.1's benchmark scores and model comparisons. In-depth analysis is being prepared.

Benchmark Results

DeepSeek-V3.1

Benchmark Results

Thinking

综合评估

7 evaluations
Benchmark / mode
Score
Rank/total
MMLU
Normal
93.40
3 / 59
MMLU
Normal
91.80
3 / 59
MMLU Pro
Normal
85
32 / 114
MMLU Pro
Normal
83.70
32 / 114
GPQA Diamond
Normal
80.10
80 / 161
GPQA Diamond
Normal
74.90
80 / 161
HLE
Normal
15.90
79 / 115

常识问答

1 evaluations
Benchmark / mode
Score
Rank/total
SimpleQA
Normal
93.40
4 / 44

编程与软件工程

3 evaluations
Benchmark / mode
Score
Rank/total
LiveCodeBench
Normal
74.80
64 / 104
LiveCodeBench
Normal
56.40
64 / 104
SWE-bench Verified
Normal
66
57 / 92

数学推理

4 evaluations
Benchmark / mode
Score
Rank/total
AIME 2024
Normal
93.10
41 / 62
AIME 2024
Normal
66.30
41 / 62
AIME2025
Normal
88.40
90 / 108
AIME2025
Normal
49.80
90 / 108

AI Agent - 工具使用

1 evaluations
Benchmark / mode
Score
Rank/total
Terminal-Bench
Normal
31.30
19 / 35

Agent能力评测

2 evaluations
Benchmark / mode
Score
Rank/total
Aider-Polyglot
Normal
76.30
13 / 26
Aider-Polyglot
Normal
68.40
13 / 26
与其他模型对比