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Kimi K2 Thinking

KimiKimi開源權重MIT · 商用許可

描述

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.

發布日期
2025-11-06
參數規模
1.0T
上下文長度
262K
支援模態
text

能力雷達圖

47
general
76
coding
93
reasoning
57
science估算
50
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
智慧體能力模型榜70
54.0
LS
程式碼能力榜49
77.0
AA
通用能力榜53
75.0
AA
數學推理12
96.0
AA
推理能力60
66.0
LS
科學能力71
66.0
AA

基準測試分數 (LLM Stats)

Agents

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

Biology

GPQA84.5%自報
SciCode44.8%自報

Code

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

Communication

WritingBench73.8%自報

Economics

FinSearchComp-T347.4%自報

Finance

MMLU-Pro84.6%自報

General

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

Healthcare

HealthBench58.0%自報

Math

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

Reasoning

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

AA 評測指數

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 分類評分

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

定價

輸入價格$0.6 / 1M tokens
輸出價格$2.5 / 1M tokens
混合價格(3:1)$1.075 / 1M tokens
快取讀取價格$0.15 / 1M tokens

速度

Tokens/秒146.6
首Token延遲0.89s
首回答延遲14.53s

供應商價格排行

供應商價格排行

26 個供應商

最便宜: OpenCode Zen最貴: Cortecs
供應商輸入輸出
1OpenCode Zen最便宜
$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
10Kimi主要
$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

比較該模型在不同 API 供應商之間的定價。

外部連結