Kimi K2.5 (Non-reasoning)
KimiKimi開源權重MIT · 商用許可
描述
Kimi K2.5 is Moonshot AI's flagship agentic model and a new SOTA open model. It unifies vision and text, thinking and non-thinking modes, and single-agent and multi-agent execution into one model. Built with Full-Parameter RL tuning, it achieves state-of-the-art performance across agents, coding, image, and video benchmarks.
發布日期
2026-01-27
參數規模
1.0T
上下文長度
262K
支援模態
image, text, video
能力雷達圖
18
general
50
coding
79
reasoning
59
science
50
agents
80
multimodal
排行榜排名
基準測試分數 (LLM Stats)
(LLM Stats (zeroeval))Code
PaperBench
63.5%自報
CyberGym
41.3%自報
FrontierSWE
26.0%
Finance
FinSearchComp T2&T3
67.8%自報
Language
MMLU-Pro
87.1%自報
Long Context
LongBench v2
61.0%自報
Math
AIME 2025
96.1%自報
HMMT 2025
95.4%自報
MathVista-Mini
90.1%自報
MathVision
84.2%自報
IMO-AnswerBench
81.8%自報
LiveBench
69.1%
Multimodal
Video-MME
87.4%自報
VideoMMMU
86.6%自報
Reasoning
GPQANYU + Cohere + Anthropic (2023)
87.6%自報
LiveCodeBench v6
85.0%自報
CharXiv-R
77.5%自報
SWE-Bench Verified
76.8%自報
BrowseCompOpenAI (2025)
74.9%自報
SWE-bench Multilingual
73.0%自報
AA-LCR
70.0%自報
OJBench (C++)
57.4%自報
Seal-0
57.4%自報
Terminal-Bench 2.0Stanford × Laude Institute (2026)
50.8%自報
SWE-Bench ProPrinceton NLP (2024)
50.7%自報
Humanity's Last Exam
50.2%自報
SciCode
48.7%自報
Search
WideSearch
79.0%自報
DeepSearchQA
77.1%自報
Vision
InfoVQAtest
92.6%自報
OCRBench
92.3%自報
OmniDocBench 1.5
88.8%自報
MMVU
80.4%自報
LongVideoBench
79.8%自報
MMMU-Pro
78.5%自報
LVBench
75.9%自報
SimpleVQA
0.71 / 100自報
MotionBench
70.4%自報
WorldVQA
46.3%自報
ZEROBench
0.11 / 100自報
AA 評測指數
(Artificial Analysis)Tau2(Sierra + U Toronto + Vector Institute (2025))81.3
Gpqa(NYU + Cohere + Anthropic (2023))78.9
Lcr(Artificial Analysis)67.3
Ifbench(Google Research (2023))43.7
Intelligence Index(Artificial Analysis)19.4
Terminalbench Hard(Stanford × Laude Institute (2026))18.9
Hle(Center for AI Safety + Scale AI (2025))13.2
LLM Stats 分類評分
(LLM Stats (zeroeval))Language90
Legal90
Finance90
Image To Text80
Long Context80
Math80
Frontend Development80
Video80
Multimodal70
Physics70
Reasoning70
Search70
Structured Output70
General70
Healthcare70
Biology70
Chemistry70
Vision70
Agents60
Code50
Tool Calling50
Safety40
定價
輸入價格$0.6 / 1M tokens
輸出價格$3 / 1M tokens
混合價格(3:1)$1.2 / 1M tokens
快取讀取價格$0.07 / 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
11 個供應商
最便宜: NanoGPT最貴: Ofox
供應商輸入輸出
1NanoGPT最便宜
$0.3
$1.9
2OpenRouter
$0.45
$2.25
3TensorX
$0.5
$2.8
4ZenMux
$0.58
$3.02
5Kimi主要
$0.6
$3
6Jiekou.AI
$0.6
$3
7NovitaAI
$0.6
$3
8Kilo Gateway
$0.6
$3
9Vercel AI Gateway
$0.6
$3
10HPC-AI
$0.6
$3
11Ofox
$0.6
$3
比較該模型在不同 API 供應商之間的定價。