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Kimi K2 Thinking

KimiKimi开源权重MIT · 商用许可

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.

发布日期
2025-11-06
参数规模
1.0T
上下文长度
262K
支持模态
text

能力雷达图

47
general
76
coding
93
reasoning
57
science估算
50
agents
0
multimodal

Science 在缺少专门科学评测时使用推理能力代理估算。

排行榜排名

领域#排名分数来源
智能体能力模型榜70
54.0
LS
代码能力榜49
77.0
AA
通用能力榜53
75.0
AA
数学推理12
96.0
AA
推理能力60
66.0
LS
科学能力71
66.0
AA

基准测试分数 (LLM Stats)

Agents

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

Biology

GPQA84.5%自报
SciCode44.8%自报

Code

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

Communication

WritingBench73.8%自报

Economics

FinSearchComp-T347.4%自报

Finance

MMLU-Pro84.6%自报

General

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

Healthcare

HealthBench58.0%自报

Math

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

Reasoning

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

AA 评测指数

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 分类评分

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

定价

输入价格$0.6 / 1M tokens
输出价格$2.5 / 1M tokens
混合价格(3:1)$1.075 / 1M tokens
缓存读取价格$0.15 / 1M tokens

速度

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

供应商价格排行

供应商价格排行

26 个供应商

最便宜: OpenCode Zen最贵: Cortecs
供应商输入输出
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

比较该模型在不同 API 供应商之间的定价。

外部链接