Passer au contenu principal

Kimi K2 Thinking

KimiKimiOpen WeightMIT · Usage Commercial

Description

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.

Date de sortie
2025-11-06
Paramètres
1.0T
Longueur du contexte
262K
Modalités
text

Radar de capacités

47
general
76
coding
93
reasoning
57
scienceest.
50
agents
0
multimodal

Science utilise un proxy de raisonnement lorsque les benchmarks scientifiques dédiés ne sont pas disponibles.

Classements

Domaine#RangScoreSource
Capacité agentique70
54.0
LS
Classement codage49
77.0
AA
Classement général53
75.0
AA
Raisonnement mathématique12
96.0
AA
Raisonnement60
66.0
LS
Science71
66.0
AA

Scores de benchmarks (LLM Stats)

Agents

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

Biology

GPQA84.5%Aut.
SciCode44.8%Aut.

Code

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

Communication

WritingBench73.8%Aut.

Economics

FinSearchComp-T347.4%Aut.

Finance

MMLU-Pro84.6%Aut.

General

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

Healthcare

HealthBench58.0%Aut.

Math

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

Reasoning

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

Indices d'évaluation AA

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

Scores par catégorie LLM Stats

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

Tarification

Prix d'entrée$0.6 / 1M tokens
Prix de sortie$2.5 / 1M tokens
Prix mixte (3:1)$1.075 / 1M tokens
Prix de lecture cache$0.15 / 1M tokens

Vitesse

Tokens/sec146.6
Délai du premier token0.89s
Temps de réponse14.53s

Classement des Prix par Fournisseur

Classement des Prix par Fournisseur

26 fournisseurs

Moins cher: OpenCode ZenPlus cher: Cortecs
FournisseurEntréeSortie
1OpenCode ZenMoins cher
$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
10KimiPRINCIPAL
$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

Comparer les prix entre différents fournisseurs API pour ce modèle.

Sources externes