DataLearner 标志

Kimi K3vsGLM-5.2

在 15 个共同 benchmark 中,Kimi K3 整体领先:Kimi K3 领先 14 项,GLM-5.2 领先 1 项,持平 0 项,平均分差 +37.55。

Moonshot AI
Kimi K3

Moonshot AI · 2026-07-16 · 推理大模型

智谱AI
GLM-5.2

智谱AI · 2026-06-13 · 推理大模型

Kimi K314 (93%)(7%)1 GLM-5.2

评测分数

按能力类目分组,每组内按分差大小排列;共 15 项。

Coding and Software Engineer

Kimi K3 领先 6/6
评测项Kimi K3GLM-5.2分差
Text Arena (Coding)1,6822 / 35Max (No Tools)1,5935 / 35Max (No Tools)+88.50
SWE-Marathon423 / 6Max (With Tools)136 / 6Max (With Tools)+29
DeepSWE67.509 / 35Max (With Tools)4429 / 35Deep Thinking (With Tools)+23.50
Program Bench77.801 / 7Max (With Tools)63.702 / 7Thinking (With Tools)+14.10
FrontierSWE81.201 / 4Max (With Tools)74.403 / 4Max (With Tools)+6.80
PostTrain Bench36.603 / 5Max (With Tools)34.305 / 5Max (With Tools)+2.30

AI Agent - Tool Usage

Kimi K3 领先 2/2
评测项Kimi K3GLM-5.2分差
MCP-Atlas84.204 / 41Max (With Tools)76.8015 / 41Thinking (With Tools)+7.40
Terminal-Bench 2.188.304 / 49Max (With Tools)8122 / 49Thinking High (With Tools)+7.30

Math and Reasoning

Kimi K3 领先 2/2
评测项Kimi K3GLM-5.2分差
FrontierMath v272.1813 / 58Max (No Tools)42.4634 / 58Normal (No Tools)+29.73
FrontierMath Tier 4 v239.0214 / 41Max (No Tools)29.2719 / 41Max (No Tools)+9.76

General Knowledge

Kimi K3 领先 1/1
评测项Kimi K3GLM-5.2分差
HLE5617 / 190Max (With Tools)54.7020 / 190Thinking (With Tools)+1.30

Text Embedding

GLM-5.2 领先 1/1
评测项Kimi K3GLM-5.2分差
Context Arena71.7559 / 126Max (No Tools)72.3458 / 126Max (No Tools)-0.59

Writing and Creative Capabilities

Kimi K3 领先 1/1
评测项Kimi K3GLM-5.2分差
Creative Writing2,0712 / 99Normal (No Tools)1,75119 / 99Normal (No Tools)+319.90

常识推理

Kimi K3 领先 1/1
评测项Kimi K3GLM-5.2分差
SimpleBench60.7029 / 92Max (No Tools)58.8034 / 92Normal (No Tools)+1.90

科学与综合推理

Kimi K3 领先 1/1
评测项Kimi K3GLM-5.2分差
GPQA Diamond93.5016 / 271Max (No Tools)71.21188 / 271Normal (No Tools)+22.29

规格对比

字段Kimi K3GLM-5.2
发布机构Moonshot AI智谱AI
发布时间2026-07-162026-06-13
模型类型推理大模型推理大模型
架构MoE 架构MoE 架构
参数规模2.8万亿7533.3亿
上下文长度1M1M
最大输出1M128K

API 调用价格

价格优先使用 DataLearner 配置的 API 记录;缺失项不做推测。

价格项Kimi K3GLM-5.2
文本输入¥20 / 1M tokens$1.4 / 1M tokens
文本输出¥100 / 1M tokens$4.4 / 1M tokens
缓存读取¥2 / 1M tokens$0.26 / 1M tokens

小结

  • Kimi K3在以下类目领先:Coding and Software Engineer (6/6)、AI Agent - Tool Usage (2/2)、Math and Reasoning (2/2)、General Knowledge (1/1)、Writing and Creative Capabilities (1/1)、常识推理 (1/1)、科学与综合推理 (1/1)
  • GLM-5.2在以下类目领先:Text Embedding (1/1)

15 个共同 benchmark 上,Kimi K3 平均高出 37.55 分。

单项差距最大的 benchmark:Creative Writing — Kimi K3 2,071,GLM-5.2 1,751(分差 +319.90)。

本页正文由结构化模型、价格与 benchmark 数据生成,不使用实时 LLM 撰写。