Kimi K2.6vsGLM 5.1

在 9 个共同 benchmark 中,Kimi K2.6 整体领先:Kimi K2.6 领先 8 项,GLM 5.1 领先 1 项,持平 0 项,平均分差 +2.31。

Moonshot AI
Kimi K2.6

Moonshot AI · 2026-04-20 · 推理大模型

智谱AI
GLM 5.1

智谱AI · 2026-03-27 · 推理大模型

Kimi K2.68 (89%)(11%)1 GLM 5.1

评测分数

按能力类目分组,每组内按分差大小排列;共 9 项。

AI Agent - Tool Usage

Kimi K2.6 领先 2/3
评测项Kimi K2.6GLM 5.1分差
Tool Decathlon501 / 7Thinking (With Tools)40.703 / 7Thinking (With Tools)+9.30
TerminalBench 2.153.5613 / 13Thinking (No Tools)58.7011 / 13Thinking High (With Tools)-5.14
Terminal Bench 2.066.7010 / 46Thinking (With Tools)63.5013 / 46Thinking (With Tools)+3.20

General Knowledge

Kimi K2.6 领先 2/2
评测项Kimi K2.6GLM 5.1分差
GPQA Diamond90.5016 / 178Thinking (No Tools)86.2042 / 178Thinking (No Tools)+4.30
HLE549 / 157Thinking (With Tools + Internet)52.3012 / 157Thinking (With Tools)+1.70

Math and Reasoning

Kimi K2.6 领先 2/2
评测项Kimi K2.6GLM 5.1分差
IMO-AnswerBench866 / 19Thinking (No Tools)83.8010 / 19Thinking (No Tools)+2.20
AIME 202696.401 / 14Thinking (No Tools)95.302 / 14Thinking (No Tools)+1.10

AI Agent - Information Search

Kimi K2.6 领先 1/1
评测项Kimi K2.6GLM 5.1分差
BrowseComp83.2010 / 45Thinking (With Tools + Internet)79.3013 / 45Thinking (With Tools + Internet)+3.90

Coding and Software Engineer

Kimi K2.6 领先 1/1
评测项Kimi K2.6GLM 5.1分差
SWE-Bench Pro - Public58.607 / 43Thinking (With Tools)58.409 / 43Thinking (With Tools)+0.20

规格对比

字段Kimi K2.6GLM 5.1
发布机构Moonshot AI智谱AI
发布时间2026-04-202026-03-27
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1万亿754亿
上下文长度256K200K
最大输出暂无数据125K

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 K2.6GLM 5.1
文本输入$0.95 / 1M tokens$1.4 / 1M tokens
文本输出$4 / 1M tokens$4.4 / 1M tokens
缓存读取$0.16 / 1M tokens$4.4 / 1M tokens
缓存写入$0.95 / 1M tokens$0.26 / 1M tokens

小结

  • Kimi K2.6在以下类目领先:AI Agent - Tool Usage (2/3)、General Knowledge (2/2)、Math and Reasoning (2/2)、AI Agent - Information Search (1/1)、Coding and Software Engineer (1/1)

9 个共同 benchmark 上,Kimi K2.6 平均高出 2.31 分。

单项差距最大的 benchmark:Tool Decathlon — Kimi K2.6 50,GLM 5.1 40.70(分差 +9.30)。

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。