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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

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

排行榜排名

領域#排名分數來源
智慧體能力模型榜25
57.0
LS
程式碼能力榜122
68.0
AA
通用能力榜134
63.0
AA
數學推理26
84.0
LB
多模態榜14
63.0
LS
推理能力25
79.0
LB
科學能力153
61.0
AA

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

Agents

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

Biology

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

Code

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

General

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

Math

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

Multimodal

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

Reasoning

OJBench60.6%自報

AA 評測指數

(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

LLM Stats 分類評分

(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

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$0.0976 / 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
3Moonshot AI
$0
$0
4Fireworks
$0
$0
5Together
$0
$0
6NanoGPT
$0.5
$2.6
7OpenRouter
$0.5795
$2.44
8Lilac
$0.7
$3.5
9FastRouter
$0.75
$3.5
10NovitaAI
$0.8
$3.4
11Kilo Gateway
$0.8
$3.4
12Kimi主要
$0.95
$4
13ZenMux
$0.95
$4
14Vercel AI Gateway
$0.95
$4
15Ambient
$0.95
$4
16Ofox
$0.95
$4
17TensorX
$1
$4

比較該模型在不同 API 供應商之間的定價。

外部連結