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Kimi K2.6 (Non-reasoning)

KimiKimiOpen WeightModified MIT License

Description

Kimi K2.6 is Moonshot AI's open-source, native multimodal agentic model focused on state-of-the-art coding, long-horizon execution, and agent swarm capabilities. It scales horizontally to 300 sub-agents executing 4,000 coordinated steps, dynamically decomposing tasks into parallel, domain-specialized subtasks. K2.6 unifies text, image, and video input with thinking and non-thinking modes, supports a 256K context, and powers proactive 24/7 background agents that manage schedules, execute code, and orchestrate cross-platform operations without human oversight.

Date de sortie
2026-04-20
Paramètres
1.0T
Longueur du contexte
262K
Modalités
image, text, video

Radar de capacités

32
general
40
coding
79
reasoning
53
science
60
agents
80
multimodal

Classements

Domaine#RangScoreSource
Capacité agentique28
56.0
LS
Classement codage130
68.0
AA
Classement général142
63.0
AA
Raisonnement mathématique27
84.0
LB
Classement multimodal14
63.0
LS
Raisonnement26
79.0
LB
Science168
60.0
AA

Scores de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Agents

BrowseCompOpenAI (2025)86.3%Aut.
DeepSearchQA83.0%Aut.
Claw-Eval80.9%Aut.
WideSearch80.8%Aut.
OSWorld-Verified73.1%Aut.
Terminal-Bench 2.0Stanford × Laude Institute (2026)66.7%Aut.
SWE-Bench ProPrinceton NLP (2024)58.6%Aut.
MCP-Mark55.9%Aut.
Toolathlon50.0%Aut.
Finance Agent v244.9%
APEX-Agents27.9%Aut.
FrontierSWE27.0%

Biology

GPQANYU + Cohere + Anthropic (2023)90.5%Aut.
SciCode52.2%Aut.

Code

SWE-Bench Verified80.2%Aut.
SWE-bench Multilingual76.7%Aut.

General

LiveCodeBench v689.6%Aut.
MMMU-Pro80.1%Aut.
LiveBench72.2%

Math

AIME 202696.4%Aut.
MathVision93.2%Aut.
HMMT Feb 2692.7%Aut.
IMO-AnswerBench86.0%Aut.
Humanity's Last Exam36.4%Aut.

Multimodal

V*96.9%Aut.
CharXiv-R86.7%Aut.
BabyVision68.5%Aut.

Reasoning

OJBench60.6%Aut.

Indices d'évaluation AA

(Artificial Analysis)
Intelligence Index(Artificial Analysis)
35.4
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.9
Gpqa(NYU + Cohere + Anthropic (2023))
0.8
Lcr(Artificial Analysis)
0.7
Ifbench(Google Research (2023))
0.4
Scicode(UIUC + Argonne National Lab (2024))
0.4
Terminalbench Hard(Stanford × Laude Institute (2026))
0.4
Hle(Center for AI Safety + Scale AI (2025))
0.2

Scores par catégorie LLM Stats

(LLM Stats (zeroeval))
Math
80
Multimodal
80
Search
80
Frontend Development
80
Vision
80
Physics
70
Reasoning
70
General
70
Biology
70
Chemistry
70
Agents
60
Code
60
Tool Calling
60
Finance
40

Tarification

Prix d'entrée$0.95 / 1M tokens
Prix de sortie$4 / 1M tokens
Prix mixte (3:1)$1.712 / 1M tokens
Prix de lecture cache$0.0944 / 1M tokens

Vitesse

Tokens/sec0.0
Délai du premier token0.00s
Temps de réponse0.00s

Classement des Prix par Fournisseur

Classement des Prix par Fournisseur

17 fournisseurs

Moins cher: DeepInfraPlus cher: TensorX
FournisseurEntréeSortie
1DeepInfraMoins cher
$0
$0
2Fireworks
$0
$0
3Novita
$0
$0
4Moonshot AI
$0
$0
5Together
$0
$0
6NanoGPT
$0.5
$2.6
7OpenRouter
$0.5605
$2.36
8Lilac
$0.7
$3.5
9FastRouter
$0.75
$3.5
10NovitaAI
$0.8
$3.4
11Kilo Gateway
$0.8
$3.4
12KimiPRINCIPAL
$0.95
$4
13ZenMux
$0.95
$4
14Vercel AI Gateway
$0.95
$4
15Ambient
$0.95
$4
16Ofox
$0.95
$4
17TensorX
$1
$4

Comparer les prix entre différents fournisseurs API pour ce modèle.

Sources externes