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Kimi K2 Thinking

KimiKimiOpen WeightMIT · Commercial OK

説明

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.

リリース日
2025-11-06
パラメータ
1.0T
コンテキスト長
262K
モダリティ
text

能力レーダー

51
general
53
coding
93
reasoning
57
science推定
50
agents
0
multimodal

専門的な科学ベンチマークが利用できない場合、Scienceは推論プロキシを使用して推定します。

ランキング

ドメイン#順位スコアソース
Agents & Tools63
54.0
LS
Code Ranking60
70.0
AA
General Ranking47
79.0
AA
Math Reasoning12
96.0
AA
Reasoning56
66.0
LS
Science56
70.0
AA

ベンチマークスコア (LLM Stats)

Agents

BrowseComp60.2%自己申告
Terminal-Bench47.1%自己申告

Biology

GPQA84.5%自己申告
SciCode44.8%自己申告

Code

SWE-Bench Verified71.3%自己申告
SWE-bench Multilingual61.1%自己申告
Multi-SWE-Bench41.9%自己申告

Communication

WritingBench73.8%自己申告

Economics

FinSearchComp-T347.4%自己申告

Finance

MMLU-Pro84.6%自己申告

General

MMLU-Redux94.4%自己申告
LiveCodeBench v683.1%自己申告

Healthcare

HealthBench58.0%自己申告

Math

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

Reasoning

FRAMES87.0%自己申告
BrowseComp-zh62.3%自己申告
Seal-056.3%自己申告
OJBench48.7%自己申告

AA評価指数

Math Index
94.7
Intelligence Index
40.9
Coding Index
34.8
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カテゴリスコア

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

価格設定

入力価格$0.6 / 1M tokens
出力価格$2.5 / 1M tokens
混合価格(3:1)$1.075 / 1M tokens

速度

トークン/秒126.7 tokens/s
初トークン遅延0.91s
初回答遅延16.69s

利用可能なプロバイダー

(LS内部単位)

プロバイダーデータがありません

外部リンク