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Kimi K2 Thinking

KimiKimiओपन वेटMIT · व्यावसायिक उपयोग

विवरण

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.

रिलीज़ तिथि
2025-11-06
पैरामीटर
1.0T
संदर्भ लंबाई
262K
मोडैलिटीज़
text

क्षमता रडार

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

समर्पित विज्ञान बेंचमार्क उपलब्ध न होने पर Science तर्क प्रॉक्सी का उपयोग करके अनुमान लगाता है।

रैंकिंग

बेंचमार्क स्कोर (LLM Stats)

Agents

BrowseComp60.2%स्वयं
Terminal-Bench47.1%स्वयं

Biology

GPQA84.5%स्वयं
SciCode44.8%स्वयं

Code

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

Communication

WritingBench73.8%स्वयं

Economics

FinSearchComp-T347.4%स्वयं

Finance

MMLU-Pro84.6%स्वयं

General

MMLU-Redux94.4%स्वयं
LiveCodeBench v683.1%स्वयं

Healthcare

HealthBench58.0%स्वयं

Math

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

Reasoning

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

AA मूल्यांकन सूचकांक

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 श्रेणी स्कोर

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

मूल्य निर्धारण

इनपुट मूल्य$0.6 / 1M टोकन
आउटपुट मूल्य$2.5 / 1M टोकन
मिश्रित मूल्य (3:1)$1.075 / 1M टोकन
कैश पठन मूल्य$0.15 / 1M टोकन

गति

टोकन/सेकंड146.6
पहले टोकन में देरी0.89s
पहले उत्तर में देरी14.53s

प्रदाता मूल्य रैंकिंग

प्रदाता मूल्य रैंकिंग

26 प्रदाता

सबसे सस्ता: OpenCode Zenसबसे महंगा: Cortecs
प्रदाताइनपुटआउटपुट
1OpenCode Zenसबसे सस्ता
$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
10Kimiप्राथमिक
$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

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

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