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Kimi K2 Thinking

KimiKimi오픈 웨이트MIT · 상업적 사용 가능

설명

Kimi K2 Thinking is the latest, most capable version of open-source thinking model. Starting with Kimi K2, it is built as a thinking agent that reasons step-by-step while dynamically invoking tools. It sets a new state-of-the-art on Humanity's Last Exam (HLE), BrowseComp, and other benchmarks by dramatically scaling multi-step reasoning depth and maintaining stable tool-use across 200–300 sequential calls. At the same time, K2 Thinking is a native INT4 quantization model with 256k context window, achieving lossless reductions in inference latency and GPU memory usage. Key features include deep thinking & tool orchestration with end-to-end training to interleave chain-of-thought reasoning with function calls, native INT4 quantization via Quantization-Aware Training (QAT) achieving lossless 2x speed-up, and stable long-horizon agency maintaining coherent goal-directed behavior across up to 200–300 consecutive tool invocations.

출시일
2025-11-06
파라미터
1.0T
컨텍스트 길이
262K
모달리티
text

능력 레이더

47
general
76
coding
93
reasoning
57
science추정
50
agents
0
multimodal

전용 과학 벤치마크가 없을 때 Science는 추론 프록시를 사용하여 추정합니다.

랭킹

도메인#순위점수소스
에이전트형 역량70
54.0
LS
코딩 랭킹49
77.0
AA
종합 랭킹53
75.0
AA
수학 추론12
96.0
AA
추론60
66.0
LS
과학71
66.0
AA

벤치마크 점수 (LLM Stats)

Agents

BrowseComp60.2%자체 보고
Terminal-Bench47.1%자체 보고

Biology

GPQA84.5%자체 보고
SciCode44.8%자체 보고

Code

SWE-Bench Verified71.3%자체 보고
SWE-bench Multilingual61.1%자체 보고
Multi-SWE-Bench41.9%자체 보고

Communication

WritingBench73.8%자체 보고

Economics

FinSearchComp-T347.4%자체 보고

Finance

MMLU-Pro84.6%자체 보고

General

MMLU-Redux94.4%자체 보고
LiveCodeBench v683.1%자체 보고

Healthcare

HealthBench58.0%자체 보고

Math

AIME 2025100.0%자체 보고
HMMT 202597.5%자체 보고
IMO-AnswerBench78.6%자체 보고
Humanity's Last Exam51.0%자체 보고

Reasoning

FRAMES87.0%자체 보고
BrowseComp-zh62.3%자체 보고
Seal-056.3%자체 보고
OJBench48.7%자체 보고

AA 평가 지수

Math Index
94.7
Intelligence Index
32.7
Aime 25
0.9
Tau2
0.9
Livecodebench
0.9
Mmlu Pro
0.8
Gpqa
0.8
Ifbench
0.7
Lcr
0.7
Scicode
0.4
Terminalbench Hard
0.3
Hle
0.2

LLM Stats 카테고리 점수

Language
90
General
90
Legal
80
Math
80
Finance
80
Reasoning
70
Frontend Development
70
Healthcare
70
Communication
70
Creativity
70
Writing
70
Physics
60
Search
60
Biology
60
Chemistry
60
Agents
50
Code
50
Vision
50

가격

입력 가격$0.6 / 1M 토큰
출력 가격$2.5 / 1M 토큰
혼합 가격 (3:1)$1.075 / 1M 토큰
캐시 읽기 가격$0.15 / 1M 토큰

속도

토큰/초146.6
첫 토큰 지연0.89s
첫 응답 지연14.53s

공급자 가격 순위

공급자 가격 순위

26개 공급자

최저가: OpenCode Zen최고가: Cortecs
공급자입력출력
1OpenCode Zen최저가
$0.4
$2.5
2Kilo Gateway
$0.47
$2
3Helicone
$0.48
$2
4SiliconFlow (China)
$0.55
$2.5
5IO.NET
$0.55
$2.25
6Synthetic
$0.55
$2.19
7SiliconFlow
$0.55
$2.5
8Alibaba (China)
$0.574
$2.294
9302.AI
$0.575
$2.3
10Kimi주요
$0.6
$2.5
11NanoGPT
$0.6
$2.5
12OpenRouter
$0.6
$2.5
13Hugging Face
$0.6
$2.5
14ZenMux
$0.6
$2.5
15NovitaAI
$0.6
$2.5
16Amazon Bedrock
$0.6
$2.5
17Moonshot AI (China)
$0.6
$2.5
18Azure Cognitive Services
$0.6
$2.5
19Meganova
$0.6
$2.6
20Vercel AI Gateway
$0.6
$2.5
21LLM Gateway
$0.6
$2.5
22Vertex
$0.6
$2.5
23Azure
$0.6
$2.5
24Moonshot AI
$0.6
$2.5
25Merge Gateway
$0.6
$2.5
26Cortecs
$0.656
$2.731

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