跳轉到主要內容

Kimi K2

KimiKimiOpen WeightMIT · Commercial OK

描述

Kimi K2-Instruct-0905 is the latest, most capable version of Kimi K2, achieving state-of-the-art performance in frontier knowledge, math, and coding among non-thinking models. This Mixture-of-Experts model features 32 billion activated parameters and 1 trillion total parameters, meticulously optimized for agentic tasks. Key features include enhanced agentic coding intelligence, extended context length to 256K tokens, and a hybrid architecture trained with MuonClip optimizer on 15.5T tokens. The model achieves 65.8% on SWE-bench Verified (single attempt), 47.3% on SWE-bench Multilingual, and excels at tool use with 70.6% on Tau2-retail. It is a reflex-grade model without long thinking, designed to act and execute complex tasks seamlessly.

發布日期
2025-07-11
參數規模
1.0T
上下文長度
131K
支援模態
text

能力雷達圖

40
general
35
coding
68
reasoning
48
science估算
60
agents
0
multimodal

Science 在缺少專門科學評測時使用推理能力代理估算。

排行榜排名

領域#排名分數來源
智能体与工具98
25.0
LS
代码能力榜174
46.0
AA
通用能力榜172
55.0
AA
数学推理123
69.0
AA
推理能力47
69.0
LS
科学能力181
50.0
AA

基準測試分數 (LLM Stats)

Agents

Terminal-Bench25.0%自報

Biology

GPQA75.1%自報

Chemistry

SuperGPQA57.2%自報

Code

SWE-Bench Verified65.8%自報
Aider-Polyglot60.0%自報
LiveCodeBench53.7%自報
SWE-bench Multilingual47.3%自報

Communication

Tau2 Retail70.6%自報
Tau2 Telecom65.8%自報
Tau2 Airline56.5%自報
Multi-Challenge54.1%自報

Factuality

SimpleQA31.0%自報

Finance

MMLU89.5%自報
MMLU-Pro81.1%自報
ACEBench76.5%自報

General

MMLU-Redux92.7%自報
IFEval89.8%自報
MultiPL-E85.7%自報
LiveBench76.4%自報

Math

MATH-50097.4%自報
CNMO 202474.3%自報
AIME 202469.6%自報
PolyMath-en65.1%自報
AIME 202549.5%自報
HMMT 202538.8%自報
Humanity's Last Exam4.7%自報

Reasoning

AutoLogi89.5%自報
ZebraLogic89.0%自報
OJBench27.1%自報

AA 評測指數

Math Index
57.0
Intelligence Index
26.3
Coding Index
22.1
Math 500
1.0
Mmlu Pro
0.8
Gpqa
0.8
Aime
0.7
Tau2
0.6
Aime 25
0.6
Livecodebench
0.6
Lcr
0.5
Ifbench
0.4
Scicode
0.3
Terminalbench Hard
0.2
Hle
0.1

LLM Stats 分類評分

Structured Output
90
Instruction Following
90
Language
90
Biology
80
Finance
80
Healthcare
80
Legal
80
Chemistry
70
Frontend Development
70
General
70
Math
70
Physics
70
Tool Calling
60
Communication
60
Economics
60
Reasoning
60
Code
50
Factuality
30
Agents
20
Vision
0

定價

輸入價格$0.585 / 1M tokens
輸出價格$2.4 / 1M tokens
混合價格(3:1)$1.039 / 1M tokens

速度

Tokens/秒36.1 tokens/s
首Token延遲1.09s
首回答延遲1.09s

可用提供商

(LS 內部計價單位)

暫無提供商資料

外部連結