Analysis on Li Auto’s Layout in Electrification, Connectivity, Intelligence and Sharing, 2024-2025

Mind GPT: The ""super brain"" of automotive AI

Li Xiang regards Mind GPT as the core of Li Auto’s AI strategy. As of January 2025, Mind GPT had undergone multiple iterations since December 2023, been installed in more than 500,000 vehicles, processed 120 million interaction requests daily, and performed tasks with the accuracy of 98.7%. Li Xiang proposed the goal of making Mind GPT rank amog the top three in the industry in the next few years.

On January 16, 2025, Li Auto officially started pushing OTA 7.0. The biggest highlight is that Mind GPT in “Lixiang Tongxue” was upgraded to Mind GPT-3o. Since the first version came out, Li Auto's Mind GPT has undergone multiple iterations and now boasts an intelligent agent from perception to cognition to active expression.

In April 2023, Mind GPT 1.0 was released;

In December 2023, Mind GPT 1.0 landed on vehicles with OTA 5.0 and was listed in the national foundation model registration. It is one of the earliest automotive large language models;

In August 2024, Mind GPT 2.0 was launched, featuring language understanding, Q&A, and logical reasoning. The model architecture is consisted of Mixture of Experts (MoE) and Transformer, doubling the model size;

In January 2025, Mind GPT-3o was pushed via OTA 7.0. It can listen, see and remember (connected with Face ID and family accounts, it can remember the preferences and requirements of family members), excel in reasoning (it can understand and dismantle complex problems, and intuitively display the process of perception and thinking through animation, that is, “Lixiang Tongxue Workflow”), express (it has a more human voice and supports dozens of modal particles; it can conduct more colloquial conversations; it is versatile and can sing and imitate animal sounds), and use 300+ tools (such as traffic restriction inquiry, Meituan, etc.).

As a powerful multi-modal end-to-end foundation model, Mind GPT-3o can understand multiple modalities such as speech, vision, and language, and provide feedback in hundreds of milliseconds. It can accurately perceive external information, deeply understand and express it naturally and accurately within a single architecture, building a complete and coherent intelligent processing system. Empowered by Mind GPT-3o, “Lixiang Tongxue” has achieved a qualitative leap in intelligent interaction and other aspects. “Lixiang Tongxue” has been comprehensively improved in terms of memory, planning, tools, and expression skills. It can complete tasks, improve cognition, and provide emotional companionship for passengers in vehicles.

In terms of intelligent interactive experience, “Lixiang Tongxue” has excellent perception and a wealth of knowledge. Even outside the cockpit, it can accurately answer questions related to various locations, and can keenly perceive animals, plants, cars, paintings, etc., and even know the surrounding buildings and geographical information.

At the same time, “Lixiang Tongxue” is not only a smart assistant, but also a considerate family member. It can accurately identify you and your family, remember everyone's preferences and special requirements, make every trip easier and more convenient, and truly make you the center.

In daily life, it can quickly check information about traffic restrictions, clearly present schedules, and filter high-quality restaurants on Meituan according to your tastes and needs. Not only that, it can also provide timely information on popular local events.

Cockpit evolution: from ""function stacking"" to ""active foresight""

With the empowerment of Mind GPT-3o, the smart space has achieved all-round evolution via OTA 7.0. The newly upgraded RGB+IR visual module and rich multimodal information input allow “Lixiang Tongxue” to not only understand the instructions of users, but also see the situation in vehicles. The function enables “Lixiang Tongxue” to better understand the intentions of users. For example, when passengers in the vehicle are discussing a certain scenic spot, “Lixiang Tongxue” can quickly provide users with relevant information about the scenic spot, including introductions, navigation, etc. through visual recognition and voice analysis.

With the powerful cognitive capabilities of Mind GPT, “Lixiang Tongxue” can also become a 24-hour travel assistant, car assistant and entertainment assistant for the family. It can plan the best route in advance according to the user's daily travel habits and remind traffic information in real time. In terms of car use, AI Task Master adds an individual task, such as ""Close the sunshade when parking for a while."" It also supports extended services, such as ""Turn on the front air conditioner for ten minutes.""

For entertainment, “Lixiang Tongxue” can recommend suitable music, movies and other entertainment content according to the user's preferences. When the user wants to listen to a certain type of music, “Lixiang Tongxue” can quickly select songs that suit the user's taste from the massive music library and play them.

The “Lixiang Tongxue” APP goes online, allowing Lixiang AI to spread from IVI to mobile phones, homes and other scenarios, providing general AI services such as Q&A, visual recognition (like menus, animals and plants).

Advancement of Mind GPT-3o

The advancement of Mind GPT-3o stems from Li Auto’s full-stack independent R&D, scenario-based deep customization, hybrid deployment architecture, and ecological collaboration.
1.Multimodal end-to-end architecture: the industry's first full-link integration model

The ""multimodal end-to-end integration"" architecture is the most distinctive feature of Mind GPT-3o. Unlike traditional automotive foundation models that rely on modular stacking (such as independent speech recognition and image processing modules), Mind GPT-3o achieves deep integration of speech, vision, and language understanding through a single model. The complete link from perception to cognition to expression is fulfilled in a closed loop in one model. This design greatly reduces system latency (response in hundreds of milliseconds) and reduces information loss caused by multi-module collaboration.

2.Data scale and rapid iteration.
Mind GPT-3o is trained on the basis of 3 trillion tokens of diverse data, covering multiple dimensions such as user habits, road scenarios, and voice interactions, far exceeding the industry average. OTA updates happen frequently. 17 iterations were completed via OTA in 2024, with an average cycle of 19 days. It responds quickly to user feedback and continuously optimizes functions (such as RedNote content call, multi-modal instruction integration), forming a closed loop of ""user feedback - model optimization - experience upgrade"".

3.Collaborative optimization of smart driving and smart cockpit
End-to-end architecture collaboration: Mind GPT-3o is deeply coupled with the smart driving system. For example, in scenarios such as highway toll stations and roundabout traffic, vision language models (VLMs) are used to assist end-to-end model decision-making to achieve anthropomorphic driving (such as automatically selecting ETC lanes and dynamically overtaking). However, the cockpits and smart driving systems of traditional OEMs are mostly independent modules with weak collaboration.
All-scenario coverage: It supports ""D2D"" navigation, AI inference visualization and other functions. Combined with 2.9 billion kilometers of intelligent driving data, it forms a complete closed loop from perception to decision-making, and has better mobility ecosystem integration capabilities than competitors that only focus on cockpit interaction.

4.Full-stack self-developed architecture and in-depth scenario customization
Technical path: Li Auto is the first OEM that launched a fully self-developed multi-modal cognitive model. It uses the self-developed Taskformer neural network architecture to achieve unified feature representation of multi-modal data such as voice, vision, and text, avoiding system fragmentation that relies on third-party models.

Scenario focus: It is deeply optimized for the automotive environment, covering 111 fields and more than 1,000 exclusive capabilities (such as semantic understanding, multilingual communication, fuzzy perception, etc.), especially in spatial command execution in family scenarios (such as air-to-air control of the rear screen, voiceprint recognition) and personalized services (such as children's mode, holiday greetings).

5.Flexibility of cloud + edge hybrid deployment
Computing efficiency: Through the inference load distribution of cloud GPT and edge NPU, its dependence on hardware computing power is reduced, so that old vehicle models can also run foundation models smoothly. Compared with the edge-only deployment of some competitors (relying on 8295 and Orin), it has stronger compatibility.

Balance between privacy and performance: Critical tasks (such as navigation and vehicle control) are processed by the edge to ensure privacy, and complex tasks (such as Q&A, entertainment) call cloud computing power to improve the experience, taking into account both efficiency and security.

6. Complex task processing: an “active assistant” that goes beyond command execution

The breakthrough of Mind GPT-3o is to upgrade the foundation model from a “question-answering tool” to a “task planning hub”. Its core capabilities include:

Complex problem dismantling: For example, if a user puts forward a vague requirement like ""a family outing on the weekend"", the model can automatically decompose it into sub-tasks such as route planning, attraction recommendation, diner reservations, weather, etc., and coordinate the automotive system with external APIs (such as Meituan and AutoNavi) to complete these sub-tasks.

Tool chain integration: It has 20+ built-in vertical scenario tools such as traffic restriction query, calendar management, fault diagnosis, etc., and supports third-party service expansion.


1. Profile and Overview of Li Auto
1.1 Profile
Development History
Sales Volume and Revenue (2024)
Sales Breakdown and Gross Margin (2024)
Factory Capacity Construction
Key Parts Manufacturing and R&D Layout
R&D Investment and Direction (2023)
Foreign Investment
1.2 Organizational Management and Channel Construction
Performance Management: Upgrade from OKR to PBC
Comprehensive Introduction of IPD Process Management
Matrix Organization Management
Matrix Organization Management
Marketing Channels
Retail Store Development
Learn all about Huawei
Adjust the Organizational Structure and Release L6
Organizational Structure Adjustment: Integration of Products and Businesses
Organizational Structure Adjustment: Integration of Products and Businesses
2. Product Planning and Development Strategy
2.1 Vehicle Model Planning
Vehicle Model Planning Summary & Spectrum
Vehicle Model Platform Planning
Introduction to Vehicle Models Launched
Development Planning
2.2 Key Vehicle Models and Suppliers
Configuration Comparison Between Key Vehicle Models
Success of Vehicle Model Positioning
Main Suppliers of L8/L9 - Intelligent Connectivity
Main Suppliers of L8/L9 - Intelligent Cockpit
Intelligent Cockpit Parameters and Suppliers of L7
Intelligent Driving Parameters and Suppliers of L7
Other Suppliers of L7
3. Architecture and Domain Integration
EEA Evolution Roadmap
Sales Volume and Penetration Rate of Models with LEEA 2.0
Functional Modules and Supply Chain of LEEA 2.0 & LEEA 3.
Supply Chain of LEEA 2.0 - Autonomous Driving Domain Controller
Supply Chain of LEEA 2.0 - XCU and VIU
Supply Chain of LEEA 2.0 - TSN Protocol Stack
Design of LEEA 3.0: Central Computing Platform + 4 ZCUs
Supply Chain of LEEA 3.0 - CCU (1)
Supply Chain of LEEA 3.0 - CCU (2)
Supply Chain of LEEA 3.0 - ZCU
Supply Chain of LEEA 3.0 - PCIE Switch & TSN Switch Communication Architecture (1)
Supply Chain of LEEA 3.0 - PCIE Switch & TSN Switch Communication Architecture (2)
Supply Chain of LEEA 3.0 - SOA Software, Definition and Deployment of Multi-Level Services
Supply Chain of LEEA 3.0 - Real-time Operating System: LiOS
4. Basic Software
4.1 Software Layout
Software Business Layout
R&D centers
Intelligent Driving Software Business Layout
Li OS
4.2 OTA
Development and Evolution of OTA
Latest OTA Technology Features
OTA Update Requirements
OTA Update History: L Series Models of Li Auto
Details of OTA Updates
OTA 6.0: The AD MAX Version Fully Pushes Map-free NOA
“Lixiang Tongxue” Supports Scenario Creation
L Series/MEGA Optimizes Human-Computer Interaction, Intelligent Driving NOA, etc.
Comprehensive Entertainment System Upgrade
5. Cloud Data and Foundation Models
5.1 Cloud Service Platform
Cloud Platform Layout
Cloud World Model of End-to-end Intelligent Driving
IoV Cloud
Data Storage Solution
Progress of Intelligent Computing Center
5.2 Foundation Models
AIGC Application: Application of Foundation Models in Autonomous Driving
AIGC Application: Smart Space 3.0 Is Connected to Mind GPT
Lixiang Tongxue: Building Multiple Scenes
Mind GPT: Building AI Agent as Core of Foundation Model
Mind GPT: Multimodal Perception
Foundation Model Training Platform Adopts 4D Parallel Mode
Cooperate with NVIDIA to Land Inference Engine
Mind GPT Is Included In National Registration
Iteration of Mind GPT
Features of Mind GPT-3o
6. SOC and Domain Controllers
Cockpit Platform Evolution
Evolution of Cockpit SoCs
Cockpit Chips of Li ONE
Li Ai OS
Intelligent Driving SoC: Development Background and Progress
7. Intelligent Cockpit
7.1 Cockpit Platform
Cockpit configuration
Intelligent Cockpit Evolution
Cockpit-driving Integration Planning
Next-generation Cockpit Software System
Li AI Intelligent Cockpit Space System
Intelligent Cockpit Suppliers
7.2 Cockpit Design
Cockpit Design Features of Main New Models: 2024
Intelligent Cockpit Design of Li L6
Intelligent Cockpit Design of Li MEGA
Intelligent Cockpit Configuration of Li MEGA
7.3 Multimodal Interaction
Intelligent Cockpit Solution: IVI
Featured Multimodal Interactive Applications in the Cockpit
Intelligent Cockpit: Multi-modal Perception + Mind GPT
Multimodal Interactive OTA Content
AD Max Adds AI Smart Bluetooth Key and Other Functions
7.4 Intelligent Voice
“Lixiang Tongxue” Module Design Empowered by MindGPT
Flagship Model Equipped with Voice: MEGA Ultra
Application Scenarios of Mind GPT in “Lixiang Tongxue”
Skills of “Lixiang Tongxue” (1)
Skills of “Lixiang Tongxue” (2)
Skills of “Lixiang Tongxue” (3)
Details of Voice OTA
8. Comfort and Sound System
8.1 Audio
Sales of Models with Different Speakers
Audio of Li L6
Speakers of L Series
Audio of Li Mega
Typical Models with Next-generation audio systems
In-vehicle Entertainment Experience Upgrade
8.2 Comfort System
Installation of Automotive Fragrance and Air Purification System
Fragrance and Air Purification System
Comparison between Air Purification and Fragrance System of All Models
Smart Child Safety Seats Launched in the Mall
9. Automotive Display
9.1 Multiple Screens/Combined Screens
Installation: Models/Sales Volume
Typical Models with Multiple Screens/Combined Screens
Novel Display
9.2 XR/VR
Automotive XR Layout
Features of Rayneo Air AR Glasses
Features of the Latest AR Glasses
10. Internet of Vehicles and Infotainment System
10.1 IVI
Iteration of IVI System
Latest IVI System
Typical Models with IVI Systems
Next-generation Infotainment System
XX Music Login
10.2 Automotive Ecology
Vehicle-phone Interconnection: Cooperate with Multiple Suppliers to Make Mobile Phones Control Vehicles
Vehicle-watch Interconnection: Cooperate with Multiple Suppliers to Make Watches Control Vehicles
Vehicle-home interconnection: Cooperate with Mobile Phone Vendors to Realize Vehicle-home Interconnection
10.3 Automotive Gaming
Xpeng & Automotive Gaming Layout
Announcement of Hardware Configuration for 5A E-sports Room Mode
11. Intelligent Driving System
11.1 ADAS and NOA
Intelligent Driving Algorithm Evolution Planning
ADAS Iteration Route
Iteration of NOA
Hardware Iteration and Suppliers of Intelligent Driving 1.0
AD Max System and L9
AD Pro System
Intelligent Driving 2.0: From AD MAX 2.0 to AD MAX 3.0
Intelligent Driving 2.0: Architecture of AD Max3.0
Intelligent Driving 3.0: End-to-end + VLM Dual System Architecture
Automated Parking System Development Route
Intelligent Parking and Summoning
Accelerate L3/L4 Layout, and Extend to AGI in the Future
L4 Autonomous Driving Planning
11.2 Intelligent Driving Technology Layout
Intelligent Driving Team and Product Development Model
Technical Layout: Chips
Technical Layout: Data Closed Loop
Intelligent Driving Algorithm: NPN
Intelligent Driving Algorithm: TIN
Intelligent Driving Algorithms: Occupancy Network Model
Algorithm Architecture of AD 3.0 - End-to-end Algorithm Architecture Based on Foundation Models
Perception Algorithm: BEV+Transformer+OCC
planning and Control Algorithm: Spatio-temporal Joint Planning + MPC Model
Autonomous Driving Training Platform: Poseidon Training Platform
Technical Layout: Data Closed Loop
L4 Autonomous Driving Technology Base
11.3 End-to-end
End-to-end Solution Evolution
End-to-end Solution Evolution: System 1 + System 2
End-to-end Solution Evolution : Reconstruction + Generation Of World Models
Underlying Technologies of End-to-end Intelligent Driving Algorithms
End-to-end Solutions: DriveVLM - Architecture
End-to-end Solutions: DriveVLM - Rendering Effects
End-to-end Solutions: DriveVLM - Processing of BEV and Text Features
End-to-end Solutions: L3 Autonomous Driving
End-to-end Solutions: Build a Complete Foundation Model from AD Max 3.0
Intelligent Driving Training Process and Computing Power
11.4 Progress in Intelligent Driving in 2024
Integrate BEV Perception Architecture with Lidar to Improve AEB Performance
Push All-round Low-speed AEB for Parking and Low-speed Driving Scenarios
Push Mapless NOA to AD Max Users
Intelligent Driving Mobility Report
Initiate In-depth Cooperation with Tsinghua University in Intelligent Vehicle Technology R&D
Intelligent Driving Mileage in 2024
12. Electrification
12.1 Electric Drive and Power Domain
Electric Drive System: Independent R&D and Production Strategy
Development History of Main Electric Drive Technologies for Battery-electric Platforms
800V SiC Electric Drive System
SiC Module and Electric Drive Projects Are Put into Production
12.2 Electrification Layout
Comparison between Models on Sale in Dynamic Performance
Electric Technology Layout
The First-generation Extended-range Electric Solution
The Second-generation Extended-range Electric Solution
The Second-generation Extended-range Electric X Platform: Chassis Control System
The Second-generation Extended-range Electric X Platform: Other Features
High-voltage Battery-electric Whale/Shark Platform
Energy Replenishment Modes
Battery-electric Strategy
Electrification Dynamics
Establish a Joint Laboratory with XXXXXX
12.3 Hybrid Power and Range Extension
Hybrid Route Planning
Intelligent REV 3.0
Extended Range System 2.0
13. Power Supply, Energy Replenishment and Thermal Management
13.1 Thermal Management
Development Stage of Automotive Thermal Management System
Thermal Management System of Li MEGA
Thermal Management System Suppliers of Li L9
800V wide-temperature-range thermal management system
Four-way Valve Thermal Management System Solution
Thermal Management System Patents
Thermal Management System Structure and Suppliers of Li One
Thermal management system and drive system Suppliers of Li L9
13.2 Charging and Swapping
Charging Facility Development
Super Charging Network Planning
Super Charging Stations
Charging Network
20kW DC Household Piles
Promote the Construction of 5C Super Charging Stations with XXXX
Signed a Cooperation Agreement with XXXX to Establish a Super Charging Energy Technology Company
Cooperate with Sinopec inr charging
14. Chassis Layout
Chassis Control System
Magic Carpet Air Suspension 2.0: Two Modes and Six Options
Magic Carpet Air Suspension Features
CDC Suspension 2.0
Intelligent Chassis Control System Solution: XCU
Intelligent Chassis Control System Application Cases
Integrated Die Casting Technology Solution
Cooperation in Integrated Die Casting

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