Scholar ModelIt was launched by the Shanghai Artificial Intelligence LaboratoryOpen source AITraining model systems are widely usedLanguage multimodal processing, weather and financial modeling, 3D modeling and other industry fieldsThis fully embodiesHigh reasoning power, ultra-long text processing, industry customization, and open source.Its advantages include support for free download and free commercial use. The platform is easy to operate and suitable for...Users include researchers, universities, enterprise developers, government agencies, and the financial industry.It also encourages community collaboration and localized innovation. In the future, the Shusheng Big Model is expected to drive innovative development in the intelligent society and boost the construction of a domestic AI ecosystem.
In recent years, the field of artificial intelligence has ushered in a strong wave of development, among whichScholar ModelAs an open-source AI training model system developed by the Shanghai Artificial Intelligence Laboratory, it has received high attention from academic, industrial, and developer communities both domestically and internationally. This article will provide an authoritative overview of the features, usage, pricing, solutions, and target audience of the Shusheng Big Model, and will detail its advantages and application scenarios through lists and tables.

Introduction to the Large Model of the Scholar
Scholar Model(Official platform:)https://intern-ai.org.cn/The Shusheng Big Model is a model system independently developed by the Shanghai Artificial Intelligence Laboratory, targeting various industry scenarios such as large language models, general multimodal models, meteorological and oceanographic modeling, and financial intelligence. The Shusheng Big Model has attracted considerable attention due to its...Powerful reasoning capabilities, processing of extremely long texts, multimodal information processing, adaptation to highly dynamic scenarios, and open-source policy.。
- It has multiple deep models for fields such as natural language processing, multimodal computing, weather and meteorology, and 3D space.
- Most models are open source and can be used commercially for free.
- Supports ultra-long text reasoning and processing, and integrates more real-world knowledge.
- It has mature application cases in fields such as finance, scientific research, and urban planning.
See related pages:Scholar Model Official Website
The main functions of the scholar model
Multi-domain sub-model architecture
Shusheng Big Model has built multiple types and directions of AI training models, covering a variety of scenarios such as text, images, audio and video, 3D data, weather forecasting, and spectroscopic analysis.

| Functional modules | Detailed description | Representative models/tools |
|---|---|---|
| Language processing | Supports generation of very long texts, reasoning, and multiple languages. | Scholar Pu Yu |
| Multimodal understanding | Text-image-video mutual understanding and reasoning | Scholar · Myriad Phenomena InternVL |
| Weather & Ocean Forecast | Meteorological and Oceanographic Short/Medium/Long-Term Forecasts | Scholar and Wind Crow |
| Financial text analysis and generation | Strengthening AI capabilities in the financial sector | Scholar who saves the world |
| Spectral analysis | Automatic parsing of complex spectra, literature linking | Scholar Yan Pu |
| 3D spatial modeling and rendering | Efficient modeling, rendering and interaction | Scholar · Sky |
| Airfoil generation design | Intelligent Civil Aircraft Airfoil Generation and Editing | Scholar Winged |
| Dynamic imaging optimization | Extreme lighting restoration, multi-exposure fusion | Scholar Uraka |
| Strong reasoning and metacognition | Mathematics, logical connections, meta-action thinking | InternThinker |
| Information retrieval | Multi-agent complex information retrieval and integration | MindSearch |
Feature Highlights List

- Extremely Long Text ReasoningSupports input at the level of one million words.
- Autonomous Network Information Integration: Perform real-time search and content organization on open networks
- Multimodal processing capabilityIt can simultaneously understand and reason about real-time text, images, and video content.
- Highly specialized modelsModels for meteorology, finance, spectroscopy, etc., are specifically optimized for industry-specific tasks.
- Support for explainability and security complianceFinancial models incorporate risk control and content security modules.
For a detailed introduction to the functions of the sub-models, please refer to [link/reference]. Scholar's Big Model Sub-Model Special Page
Price & Solution for the Large Scholar Model
The Scholar Model and its core model are currently primarily open source and free.
- The vast majority of models are open source code and APIs for free to researchers, developers, and enterprises.
- The main models, such as Shusheng·Puyu and Shusheng·Wanxiang, have been made available to the public for free commercial use (see the open source agreement and commercial license document for details).
- Some industry-specific customized features, advanced functions, or API services have paid plans, such as enterprise-level support and dedicated custom development. You can contact the official website to obtain a customized quote.

| Service Types | Solution Description | Is it free? |
|---|---|---|
| Open source model download | Source code/model weights open | 是 |
| Online Model API | Free quotas are available for the open community; enterprise APIs require application. | Basic functions are free |
| Enterprise-level customization & private deployment | Pricing based on enterprise needs | 否 |
| Commercial Licensing | Free commercial license; registration required for some scenarios. | Yes/Case-based fee |
For the latest commercial and API policies, please visit the Shusheng Large Model Pricing and Services page.
How to use the scholar model
Core usage process
- Visit the official website to register
Log in Scholar Model Official WebsiteRegister/login to obtain an account. - Select the desired model
Enter the model library and select target sub-models such as Shusheng·Puyu and Shusheng·Wanxiang as needed. - Enter task or submit data
Enter text, upload images/videos, or input 3D/spectroscopy/financial data according to the task category. - Perform AI inference and generation
Click "Execute" or use the API to complete the relevant generation, analysis, and prediction tasks. - Results Download and Reuse
It supports exporting analysis results and generated products, facilitating local saving and subsequent analysis.
Example: Text generation operation steps

| step | Operating Instructions |
|---|---|
| Account Login | Register/Log in on the official website |
| Select sub-model | Scholar Pu Yu / InternThinker et al. |
| Input content | Copy/paste text or upload relevant data |
| Task settings | Specify writing style/dialogue/logical analysis, etc. |
| Execution and Result Acquisition | Awaiting generation; supports diverse result formats. |
The target audience for the large-scale scholar model
Based on model types and functional characteristics, Shusheng's large model covers users at multiple levels, from researchers to engineers, and from enterprise scenarios to the education field.
- Universities and researchers
Thesis writing, complex data analysis, research projects - Enterprise IT and Development Team
Application integration, algorithm innovation, and intelligent upgrading of industries - Government and Enterprises
Urban governance, disaster prediction, industry consulting - Financial practitioners and analysts
Financial text automation, risk assessment, content generation - Aerospace and Industrial Engineers
Intelligent design and simulation - ordinary developers
Development and experimentation of various innovative AI application prototypes

Scholar's Big Model Ecosystem and Technological Openness
Open source strategy and community connections
- Fully open sourceThe core model parameters, training code, and user manual have all been uploaded to the open-source platform.
- Community-drivenDevelopers can participate in bug reporting, model upgrades, and plugin development.
- University CooperationSharing datasets and research findings to promote the academic ecosystem of artificial intelligence in China.
Enter the community and open source resource area:Scholar Model Open Source Community
Practical Applications and Collaboration Cases of the Scholar Model
Typical industry application list
- Educational ResearchAutomated literature review, automated test question generation, and academic paper writing assistance
- FintechIntelligent risk control, interpretation of financing documents, and industry compliance review.
- Meteorological and marine early warningShort-term rainfall, medium-term weather, and interannual marine forecasts
- AerospaceIntelligent generation and optimization of supercritical airfoils
- Smart City3D modeling of cities and digital preservation of cultural heritage
- Multimodal content generationAI-powered drawing, video description, and image data processing.
- Spectroscopy and Scientific ExperimentsAutomatic EPR spectrum analysis and intelligent literature retrieval

Frequently Asked Questions
Is the Scholar's Big Model available to individual developers?
answer:
Currently, most of the models in the Shusheng Big Model platform are available for download and free trial to individual developers. In particular, core AI training models such as Shusheng·Puyu, Wanxiang, and Fengwu can be accessed through open-source code or platform APIs. Please refer to the official website for specific access and usage conditions.
What API calls and integration methods does the Shusheng Big Model support?
answer:
The platform offers multiple access methods, including a general RESTful API and a Python SDK, facilitating rapid integration and embedding in various scenarios. Some specialized models can be deployed in conjunction with enterprise private deployments.
What are the unique advantages of the Shusheng large model in multimodal processing?
answer:
The Shusheng·Wanxiang model supports synchronous input and mutual understanding of modalities such as text, images, and videos, and has advanced capabilities such as hallucination detection, visual grounding, and real-world scene reconstruction. It is widely applicable to AI-generated content, scientific analysis, and intelligent perception systems.
Scholar ModelWith its open-source nature, comprehensive functionality, and localized adaptation, Shusheng has quickly become a driving force in China's AI training model innovation wave. Whether for scientific research or industry application, the Shusheng platform provides users with powerful, efficient, and reliable AI model capabilities. In the future, as its ecosystem continues to expand and industry applications deepen, Shusheng's large-scale models will undoubtedly continue to propel the innovation of the intelligent society.
For detailed information on features and applications, please visit [website address].[Scholar Model Official Website]Get first-hand information.
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