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Kimi K2

KimiKimiओपन वेटMIT · व्यावसायिक उपयोग

विवरण

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.

रिलीज़ तिथि
2025-07-11
पैरामीटर
1.0T
संदर्भ लंबाई
131K
मोडैलिटीज़
text

क्षमता रडार

37
general
51
coding
68
reasoning
48
science
60
agents
0
multimodal

रैंकिंग

बेंचमार्क स्कोर (LLM Stats)

(LLM Stats (zeroeval))

Agents

Terminal-Bench30.0%स्वयं
Terminus25.0%स्वयं

Biology

GPQANYU + Cohere + Anthropic (2023)75.1%स्वयं

Chemistry

SuperGPQA57.2%स्वयं

Code

HumanEvalOpenAI (2021)93.3%स्वयं
EvalPlus0.80 / 100स्वयं
SWE-bench Verified (Agentic Coding)65.8%स्वयं
SWE-Bench Verified65.8%स्वयं
Aider-Polyglot60.0%स्वयं
LiveCodeBench53.7%स्वयं
SWE-bench Multilingual47.3%स्वयं

Communication

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

Factuality

SimpleQA31.0%स्वयं

Finance

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

General

MMLU-Redux92.7%स्वयं
C-Eval92.5%स्वयं
MMLU-redux-2.090.2%स्वयं
IFEvalGoogle Research (2023)89.8%स्वयं
MultiPL-E85.7%स्वयं
TriviaQA85.1%स्वयं
CSimpleQA78.4%स्वयं
LiveBench76.4%स्वयं
LiveCodeBench v653.7%स्वयं
SWE-bench Verified (Agentless)51.8%स्वयं

Math

MATH-50097.4%स्वयं
GSM8k97.3%स्वयं
CBNSL95.6%स्वयं
CNMO 202474.3%स्वयं
MATH70.2%स्वयं
AIME 202469.6%स्वयं
PolyMath-en65.1%स्वयं
AIME 202549.5%स्वयं
HMMT 202538.8%स्वयं
Humanity's Last Exam4.7%स्वयं

Reasoning

AutoLogi89.5%स्वयं
ZebraLogic89.0%स्वयं
HumanEval-ER81.1%स्वयं
MuSR76.4%स्वयं
SWE-bench Verified (Multiple Attempts)71.6%स्वयं
OJBench27.1%स्वयं

AA मूल्यांकन सूचकांक

(Artificial Analysis)
Math Index(Artificial Analysis)
57.0
Intelligence Index(Artificial Analysis)
19.7
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))
1.0
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.8
Gpqa(NYU + Cohere + Anthropic (2023))
0.8
Aime(MAA (Mathematical Association of America))
0.7
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.6
Aime 25(MAA (Mathematical Association of America))
0.6
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.6
Lcr(Artificial Analysis)
0.5
Ifbench(Google Research (2023))
0.4
Scicode(UIUC + Argonne National Lab (2024))
0.3
Terminalbench Hard(Stanford × Laude Institute (2026))
0.2
Hle(Center for AI Safety + Scale AI (2025))
0.1

LLM Stats श्रेणी स्कोर

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

मूल्य निर्धारण

इनपुट मूल्य$0.57 / 1M टोकन
आउटपुट मूल्य$2.3 / 1M टोकन
मिश्रित मूल्य (3:1)$1.002 / 1M टोकन

गति

टोकन/सेकंड0.0
पहले टोकन में देरी0.00s
पहले उत्तर में देरी0.00s

प्रदाता मूल्य रैंकिंग

प्रदाता मूल्य रैंकिंग

7 प्रदाता

सबसे सस्ता: OpenCode Zenसबसे महंगा: LLM Gateway
प्रदाताइनपुटआउटपुट
1OpenCode Zenसबसे सस्ता
$0.4
$2.5
2FastRouter
$0.55
$2.2
3Kimiप्राथमिक
$0.57
$2.3
4OpenRouter
$0.57
$2.3
5Kilo Gateway
$0.57
$2.3
6Vercel AI Gateway
$0.57
$2.3
7LLM Gateway
$0.57
$2.3

इस मॉडल के लिए विभिन्न API प्रदाताओं के मूल्य निर्धारण की तुलना करें।

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