benchlm.ai

DeepSeek LLM 2.0 vs Kimi K2.5 (Reasoning)

Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.

Quick Verdict

Kimi K2.5 (Reasoning) wins overall with a score of 71 vs 63 (8 point difference).Kimi K2.5 (Reasoning) wins 4 out of 4 categories.

DeepSeek LLM 2.0

CreatorDeepSeek
TypeOpen Weight
Context128K
Score63

Kimi K2.5 (Reasoning)

CreatorMoonshot AI
TypeOpen Weight
Context128K
Score71

Knowledge

Kimi K2.5 (Reasoning)

DeepSeek LLM 2.0

76.8

Kimi K2.5 (Reasoning)

89

79
MMLU
92
78
GPQA
90
76
SuperGPQA
88
74
OpenBookQA
86

Coding

Kimi K2.5 (Reasoning)

DeepSeek LLM 2.0

73

Kimi K2.5 (Reasoning)

84

73
HumanEval
84

Mathematics

Kimi K2.5 (Reasoning)

DeepSeek LLM 2.0

79

Kimi K2.5 (Reasoning)

93

80
AIME 2023
94
82
AIME 2024
96
81
AIME 2025
95
76
HMMT Feb 2023
90
78
HMMT Feb 2024
92
77
HMMT Feb 2025
91
79
BRUMO 2025
93

Reasoning

Kimi K2.5 (Reasoning)

DeepSeek LLM 2.0

76

Kimi K2.5 (Reasoning)

87

77
SimpleQA
88
75
MuSR
86

Frequently Asked Questions

Which is better, DeepSeek LLM 2.0 or Kimi K2.5 (Reasoning)?

Kimi K2.5 (Reasoning) scores higher overall with 71 vs 63, a difference of 8 points across all benchmarks.

Which is better for knowledge tasks, DeepSeek LLM 2.0 or Kimi K2.5 (Reasoning)?

Kimi K2.5 (Reasoning) leads in knowledge tasks with an average score of 89 vs 76.8.

Which is better for coding, DeepSeek LLM 2.0 or Kimi K2.5 (Reasoning)?

Kimi K2.5 (Reasoning) leads in coding with an average score of 84 vs 73.

Which is better for math, DeepSeek LLM 2.0 or Kimi K2.5 (Reasoning)?

Kimi K2.5 (Reasoning) leads in math with an average score of 93 vs 79.

Which is better for reasoning, DeepSeek LLM 2.0 or Kimi K2.5 (Reasoning)?

Kimi K2.5 (Reasoning) leads in reasoning with an average score of 87 vs 76.

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