Kimi K3 在全球開放原始碼模型領域佔據主導地位：核心技術與不斷演變的中美人工智慧競爭

Kimi K3 Dominates Global Open-Source Models: Core Technologies and the New US-China AI Race

出版日期: 2026年08月18日 | 出版商:

TrendForce | 英文 26 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄

2026年7月27日，中國人工智慧新創公司Moonshot AI正式開放原始碼了其旗艦人工智慧模型「Kimi K3」的權重。 Kimi K3擁有2.8兆（2.8T）個參數，成為目前全球最大的開放原始碼模型，為中國尖端人工智慧模型樹立了新的標竿。不久，7月31日，DeepSeek發布了「DeepSeek V4 Flash」；8月3日，阿里雲發布了「Qwen 3.8 Max」。這些快速發展引發了市場對「第二個DeepSeek時刻」以及中美人工智慧競爭日益激烈的討論。

本報告詳細分析了以下內容：(1) Kimi K3、Qwen 3.8 Max 和 DeepSeek V4 Flash 的概述；(2) Kimi K3 核心技術的闡釋；(3) 中美兩國人工智慧模型的比較分析。本報告旨在評估中國主流人工智慧模型，闡明 Kimi K3 的技術原理和發展趨勢，並分析中美兩國人工智慧能力的競爭格局。

主要亮點

Moonshot AI開放原始碼了Kimi K3，目前已成為全球最大的開放原始碼AI 模型，為中國尖端 AI 開發樹立了新的標竿。
DeepSeek 和阿里雲隨後也發布了新模型，引發了「第二個 DeepSeek 時刻」的熱議，加劇了中美兩國在人工智慧領域的競爭。
本報告檢驗了這些領先的中國車型，詳細分析了「Kimi K3」的核心技術，並比較了中國和美國人工智慧技術的競爭格局。

On July 27, 2026, the Chinese AI startup Moonshot AI officially open-sourced the weights for its flagship AI model, Kimi K3. Boasting a total parameter count of 2.8 trillion (2.8T), Kimi K3 currently stands as the world’s largest open-source model, establishing a new benchmark for frontier AI models in China. Shortly after, DeepSeek released DeepSeek V4 Flash on July 31, and Alibaba Cloud announced Qwen 3.8 Max on August 3. These rapid developments have fueled market discussions regarding a potential “second DeepSeek moment” and the intensifying US-China AI rivalry.

This report provides an in-depth analysis of the following: (1) an overview of Kimi K3, Qwen 3.8 Max, and DeepSeek V4 Flash; (2) a dissection of Kimi K3’s core technologies; and (3) a comparative analysis of AI models developed in China and the United States. This report aims to evaluate mainstream Chinese AI models, elucidate the underlying technical principles and trends of Kimi K3, and assess the competitive landscape between Chinese and American AI capabilities.

Key Highlights

Moonshot AI open-sourced Kimi K3, now the world's largest open-source AI model, setting a new benchmark for China's frontier AI development.
DeepSeek and Alibaba Cloud quickly followed with new model releases, sparking talk of a "second DeepSeek moment" and sharpening US-China AI rivalry.
The report examines these leading Chinese models, unpacks Kimi K3's core technology, and compares the competitive landscape between Chinese and US AI capabilities.

1. Overview of Kimi K3, Qwen 3.8 Max, and DeepSeek V4 Flash

Figure 1: Example of Kimi Agent in Use-Simulating the Gargantua Black Hole
Figure 2: Comparison of Total Parameters Across Mainstream Open-Source AI Models
Figure 3: Comparison of Active Parameters Across Mainstream Open-Source MoE AI Models
Table 1: Evolution of Specifications for Moonshot AI’s Kimi Models
Table 2: Evolution of Specifications for DeepSeek’s AI Models
Table 3: Evolution of Specifications for Alibaba’s Qwen Models
Table 4: Comparison of Kimi K3, Qwen 3.8 Max, and DeepSeek V4 Flash

2. Analysis of the Core Technologies of Kimi K3

Figure 4: Architecture of Kimi K3
Figure 5: Architectures of Kimi-VL and Kimi-VL-Thinking
Table 5: Comparison of First-Generation MoonViT and MoonViT-V2
Figure 6: Schematic Diagram of Softmax Attention vs. Linear Attention Principles
Figure 7: Architecture of Kimi Linear Hybrid KDA-MLA
Figure 8: Architecture of LatentMoE
Figure 9: SiTU-GLU Boundary Setting
Figure 10: Schematic Diagram of Quantile Balancing Mechanics
Figure 11: Architecture of Kimi AttnRes
Figure 12: Role of Optimizers in AI Training (Using Decoder-Only Transformer as Example)
Figure 13: Efficacy of MuonClip
Table 6: Technical Comparison between Kimi K3 and DeepSeek V4

3. Comparison between Chinese and US AI Models

Figure 14: Trend of Intelligence Index among Mainstream AI Models (November 2022 to July 2026)
Figure 15: Trend of Intelligence Index among Most Advanced Chinese and US AI Models (November 2022 to July 2026)
Figure 16: Percentage Trend of Intelligence Index Gap between Most Advanced Chinese and US AI Models (October 2024 to July 2026)
Table 7: Comparison of Performance and API Pricing between Kimi K3, Claude Opus 5, and GPT 5.6 Sol
Table 8: Hypothetical Estimation of Major Costs
Figure 17: Cost Comparison between Using API and Self-Deploying Kimi K3