Kimi K2.6 (Non-reasoning)
KimiKimi開源權重Modified MIT License
描述
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.
發布日期
2026-04-20
參數規模
1.0T
上下文長度
262K
支援模態
image, text, video
能力雷達圖
23
general
60
coding
79
reasoning
61
science
60
agents
80
multimodal
排行榜排名
基準測試分數 (LLM Stats)
(LLM Stats (zeroeval))Agents
MCP-Mark
55.9%自報
Toolathlon
50.0%自報
Finance Agent v2
44.9%
Code
Claw-Eval
80.9%自報
FrontierSWE
27.0%
Math
AIME 2026
96.4%自報
MathVision
93.2%自報
HMMT Feb 26
92.7%自報
IMO-AnswerBench
86.0%自報
LiveBench
72.2%
Multimodal
OSWorld-Verified
73.1%自報
Reasoning
GPQANYU + Cohere + Anthropic (2023)
90.5%自報
LiveCodeBench v6
89.6%自報
CharXiv-R
86.7%自報
BrowseCompOpenAI (2025)
86.3%自報
SWE-Bench Verified
80.2%自報
SWE-bench Multilingual
76.7%自報
Terminal-Bench 2.0Stanford × Laude Institute (2026)
66.7%自報
OJBench
60.6%自報
SWE-Bench ProPrinceton NLP (2024)
58.6%自報
SciCode
52.2%自報
Humanity's Last Exam
36.4%自報
APEX-Agents
27.9%自報
Search
DeepSearchQA
83.0%自報
WideSearch
80.8%自報
Vision
V*
96.9%自報
MMMU-Pro
80.1%自報
BabyVision
68.5%自報
AA 評測指數
(Artificial Analysis)Tau2(Sierra + U Toronto + Vector Institute (2025))93.9
Gpqa(NYU + Cohere + Anthropic (2023))78.8
Lcr(Artificial Analysis)69.7
Ifbench(Google Research (2023))44.3
Terminalbench Hard(Stanford × Laude Institute (2026))37.9
Intelligence Index(Artificial Analysis)23.6
Hle(Center for AI Safety + Scale AI (2025))19.6
LLM Stats 分類評分
(LLM Stats (zeroeval))Math80
Multimodal80
Search80
Frontend Development80
Vision80
Physics70
Reasoning70
General70
Biology70
Chemistry70
Agents60
Code60
Tool Calling60
Finance40
定價
輸入價格$0.95 / 1M tokens
輸出價格$4 / 1M tokens
混合價格(3:1)$1.712 / 1M tokens
快取讀取價格$0.15 / 1M tokens
速度
Tokens/秒0.0
首Token延遲0.00s
首回答延遲0.00s
供應商價格排行
供應商價格排行
17 個供應商
最便宜: DeepInfra最貴: TensorX
供應商輸入輸出
1DeepInfra最便宜
$0
$0
2Novita
$0
$0
3Fireworks
$0
$0
4Moonshot AI
$0
$0
5NanoGPT
$0.5
$2.6
6OpenRouter
$0.65
$3.41
7Kilo Gateway
$0.65
$3.41
8Lilac
$0.7
$3.5
9FastRouter
$0.75
$3.5
10NovitaAI
$0.8
$3.4
11Kimi主要
$0.95
$4
12ZenMux
$0.95
$4
13Vercel AI Gateway
$0.95
$4
14Ambient
$0.95
$4
15Ofox
$0.95
$4
16TokenGo
$0.95
$4
17TensorX
$1
$4
比較該模型在不同 API 供應商之間的定價。