Model Studio SOP

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Reference, synced 2026-06-13.

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  n4["Pricing"]
  n5["Resources"]
  n6["Partners"]
  n7["Support"]
  n8["Language"]
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Free access Accelerate Delivery with Fixed-Cost Agentic CodingWatch how it works

Models ​

Empowering AI innovation for both enterprises and developers with Alibaba Cloud’s best-in-class Qwen models, AI-native apps, and AI solutions.

Alibaba Cloud Model Studio \ Enterprise-grade large model service and application development platform.

Try Visual Model \ Supports image understanding, image generation, and video generation.

Models ​

HappyHorse-1.0-T2V \ Cinematic creative generation, ultimate dynamic details Qwen3-VL-Plus \ Native VL, spatial reasoning, 1M-context video analysis Wan2.7-VideoEdit \ Supports both localized and global editing with prompt

Qwen3.6-Plus \ Native multimodal, 1M context, agentic coding Wan2.7-Image-Pro \ Interactive editing, long-text rendering, precise prompt following Qwen-Plus \ Balanced intelligence, efficient inference, production-ready performance

Qwen-Image-2.0 \ Professional infographics, exquisite photorealism Z-Image-Turbo \ Ultra-fast image generation, high throughput, cost-optimized inference Qwen3-Coder-Next \ Multi-turn tool interactions, future-ready development support

Wan2.7-T2V \ High-fidelity T2V, 15s duration, advanced camera control Wan2.7-I2V \ Cinematic I2V with emotional depth and visceral impact Wan2.7-R2V \ Up to 5 mixed image/video inputs and audio timbre cloning

GenAI Application ​

Qoder \ Intelligent coding assistant, available for enterprise-dedicated deployment. Qoder CN \ AI-powered coding assistant that boosts developer productivity with intelligent code completion, AI chat, multi-file editing, and task automation.

AI Service ​

Model Experience \ Experience full-scale, multimodal model capabilities online. Platform for AI \ An AI-native algorithm engineering platform for end-to-end modeling, training, and inference service deployment. Fine-tune Video Generation Model \ Customize Wan’s text-to-video capabilities through model fine-tuning to meet your unique requirements.

AI Use Case ​

AI Savings Plan Hot \ Save up to 47% on AI costs. Limited-time offer tailored to your usage. AI Video Creation \ Elevate your professional video production with Wan 2.6.

AI Token Plan \ One plan. Multiple models. Big Savings with a Fixed Subscription. AI Image Creation \ All-in-one creative suite for copywriting, image generation, and poster design.

Overview ​

As a global full-stack AI leader, Alibaba Cloud aims to make computing accessible to everyone and help worldwide customers accelerate innovation.

Why Alibaba Cloud ​

About Alibaba Cloud \ AI Powered Cloud Technology Our Global Network \ Explore our global presence and deployment regions around the world Our Global Offices \ With offices in 4 continents, we're always close to where it matters.

Asia Accelerator \ Accelerate Success in Asia with Alibaba Cloud Go Global \ Benefits of our Global Alliance Trust Center \ Empowering enterprises with a secure, compliant, and globally trusted cloud infrastructure

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Alibaba Cloud Model Studio \ Supercharge your AI journey effortlessly with industry-leading GenAI models ApsaraDB RDS \ Store and manage your business data, with automated monitoring and backups Certificate Management Service (Original SSL Certificate) \ Create a safe and secure connection between your website and users

Elastic Compute Service (ECS) \ Host websites anywhere and scale enterprise workloads Container Service for Kubernetes (ACK) \ Run and scale containerized applications on managed Kubernetes infrastructure Object Storage Service (OSS) \ Store large amounts of data in the cloud and access it anywhere, anytime

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Financial Services \ Innovate faster with Alibaba Cloud Games \ Grow your game rapidly with high global availability

New Retail \ Alibaba Cloud enables digital retail transformation to fuel growth and realize an omnichannel customer experience throughout the consumer journey. Media and Entertainment \ Ready your content for today's media market with a digitalized media journey

Supply Chain \ Power your supply chain with intelligent, efficient, and reliable solutions Sports \ Digitizing the sports industry with intelligent tech

Sustainability \ Achieve a sustainable future with low-carbon and energy-efficient technologies

Pricing ​

Flexible options like pay-as-you-go and clear billing rules to meet diverse business needs.

Overview & Tools ​

Pricing Calculator \ Get an instant pricing estimate based on your usage and needs Free Trial \ Try our 80+ cloud products for free.

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Optimize your cost ​

Migrate & Save \ Superior Performance At Lower Pricing. Save up to 50%. Promotion Center \ Unlock the latest Alibaba Cloud offers & promos

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Official documentation, extensive tools, training resources, and a community to grow and innovate in the cloud.

Technical Resources ​

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Blog \ Latest cloud insights and developer trends Whitepapers \ Research that explores the how and why behind our technology

Training&Certification ​

Alibaba Cloud Academy \ Build cloud skills and earn certifications with expert-led training.

Developer Hub ​

Alibaba Cloud Project Hub \ Explore real-world projects built by developers using our platform. Our Developer MVPs \ Celebrating the developers who lead, build, and inspire our community

Partners ​

Partner-first strategy offering collaborative product, sales, and service models, plus high-quality partner solutions that complement Alibaba Cloud’s capabilities.

Marketplace ​

AI Alliance for ISVs \ Partner with us to build and grow AI solutions together ISV Benefits \ Unlock resources, market access, and go-to-market support as an ISV partner

Alibaba Cloud Marketplace \ Explore ready-to-deploy solutions from our partners and ISVs

Find a Partner ​

Partner Hub \ Find your ideal partner in no time

Become a Partner ​

Partner Network \ A partner portal for Alibaba Cloud Channel, Technology, MSP partner and other partner programs

Support ​

Full-lifecycle support and expert services, from cloud advisory and migration to operations.

Support & Professional Services ​

Professional Services \ Expert-led services to design, migrate, and optimize your cloud journey Support Plans \ Flexible support for every stage — from startup to enterprise

Partner Support Program \ Priority technical support for partners, with dedicated managers and faster issue resolution

Contact us ​

Connect With Us \

Talk to a sales expert and get a custom quote for your business

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Frequently asked questions about Alibaba Cloud Model Studio.

Billing ​

  1. What are the unit prices for the models in Alibaba Cloud Model Studio?

Check in the Model Studio console. For pricing, see Model inference pricing.

  1. Are subscription services available?

Some models support subscription, see Savings plans.

  1. Are pay-as-you-go bills settled monthly?

Bills are calculated per minute and settled monthly.

  1. How to query my charges and view details?

You can go to Expenses and Costs to view the details.

  1. How to request an invoice for my expenses?

On the Overview of Monthly Bill page, click Download Invoice in the Actions column next to the destination account.

  1. Does Wan membership covers Model Studio API calls?

No. Wan membership benefits do not apply to Model Studio API calls because they use separate billing systems.

API/SDK ​

  1. How to view error code information?

An API call to Model Studio returns a status code that indicates the result of the call. For more information about error codes and their solutions, see Error messages.

  1. How to install the SDK?

Model Studio currently supports SDKs for Java and Python. For more information, see Install the SDK.

  1. When calling a function with the assistant API, does it support calling two local functions in sequence?

a. Calling two functions separately is not currently supported.

b. You can manually create two separate assistant APIs and handle the response from each one individually.

  1. Does the assistant API have memory-related capabilities?

The memory configuration feature is not currently supported.

Product ​

  1. How to activate the Alibaba Cloud Model Studio service?

Log on to your Alibaba Cloud account and go to Alibaba Cloud Model Studio (Singapore) or Alibaba Cloud Model Studio (Beijing). On the Homepage or Models page, you can activate the model service. For more information, see Product activation.

If prompted that real-name verification is incomplete, complete first.

  1. How to deactivate the Alibaba Cloud Model Studio service after activation?

The Model Studio service cannot be deactivated. If you use the API to call models or applications, you can delete your API key on the API-Key (Singapore), API-Key (Virginia), or API-Key (Beijing) page in the console to prevent subsequent calls.

  1. How to experience the model service?

You can experience the service in the Playground (Singapore), Playground (Virginia), or Playground (Beijing).

  1. What is the difference between Alibaba Cloud Model Studio and Qwen?

Alibaba Cloud Model Studio is a model service platform that provides various models, including the Qwen series.

  1. How can I implement data isolation to ensure that data from different users is not associated?

You can use an Alibaba Cloud account to grant different workspace permissions to different RAM users. This practice ensures that data in different workspaces is isolated. For more information, see Workspace permission management.

  1. Does Model Studio save the data generated during model calls?

Alibaba Cloud strictly protects your data privacy and will never use your data for model training. In addition, all data that you transmit when you build applications or train models is encrypted using AES-256 (Advanced Encryption Standard) to ensure data security.

When you call a model through Model Studio, how your data is processed and retained depends on how you call the model:

  • Direct calls using an API: Model Studio does not save conversation data. It only desensitizes and records the call status.

  • Use the Model Studio assistant API: To optimize the service experience, Model Studio retains your conversation history. This information currently has no expiration date.

  1. How long are conversation records kept in the Model Studio Playground? Is there a limit?

The console displays up to 100 conversation records with no time limit. Deleting records automatically reveals older ones. Conversations from non-logged-in trial sessions or with inference errors are not saved.

Models ​

  1. How are the parameters of a model stored?

You can download open source models from the ModelScope community. Their structure is usually defined in a JSON file. You typically need to use open source Python libraries to parse these files. These files contain vector information, and parsing them can help you understand the storage process.

  1. How many languages do the Qwen series models support?

14 languages: Chinese, English, Arabic, Spanish, French, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, and Indonesian.

  1. Can the current models connect to structured data, such as MySQL and Hive?

This is not currently supported. However, this feature is under development, and priority is being given to connectivity with ApsaraDB RDS services.

  1. Is the text generation speed of models such as Qwen3 and Qwen-Max fixed for all users, or is there a way to adjust the speed?

The generation speed is not fixed. It is affected by factors such as the overall load of the current service and your request concurrency.

  1. After model throttling is triggered, how long should I generally wait before trying again?

The waiting time depends on your specific rate limit value, such as requests per second (RPS) or requests per minute (RPM). For example, if your limit is 120 RPM (2 requests per second), and you submit 2 requests consecutively within 0.2 seconds, the 3rd request will be throttled. You will need to wait about 0.8 seconds before you can successfully submit another request.

Model hallucination ​

  1. What is model hallucination?

Model hallucination refers to the phenomenon where large language models (LLMs) fabricate facts, distort information, or produce logical contradictions when generating content. The output may appear reasonable and fluent but significantly deviates from the input, real-world knowledge, or contextual logic. Note that hallucination differs from factual errors (such as errors caused by outdated training data), subjective opinions, or creative fiction (such as writing a novel when explicitly asked). The core characteristic is confident assertions without basis.

  1. How to reduce model hallucination?

You can reduce model hallucination in the following ways:

  1. Choose a stronger model: Choosing a larger, more advanced model generally reduces hallucination. For example, in the Qwen series, Max-level models outperform Plus-level models, and Plus-level models outperform Turbo-level models.

  2. Prompt engineering: Modifying prompts is a simple yet effective way to reduce model hallucination. For example, in RAG scenarios, add instructions such as "Answer only based on the provided documents. If the information is insufficient, say 'I don't know'"; add "Cite specific data or reports to support your conclusions"; use prompts to break tasks into multiple steps; or assign a rigorous role in the prompt.

  3. RAG (Retrieval-Augmented Generation): Leveraging RAG to provide references for model responses and strictly limiting answers to the scope of retrieved knowledge can significantly reduce hallucination. When building a RAG system, ensure the retrieval system is high-quality, clearly cite information sources, and gracefully handle cases where no relevant information is found.

  4. Plugins/MCP: Use plugins or MCP capabilities to reduce model hallucination. For example, when using an LLM to summarize data from a structured database, you can invoke a database client through plugins or MCP to perform calculations and return the results to the model for summarization. This prevents hallucination that may occur when the model directly handles numerical calculations.

  5. Model parameter tuning: Lower randomness parameters such as temperature, top_k, and top_p to make the output more conservative and avoid bizarre generations, though this may sacrifice creativity. Lowering max_tokens can, in some scenarios, prevent the model from fabricating content after providing key information.

  6. Post-processing verification: After model inference, verify the correctness of the response through subsequent steps. This is typically done by using AI capabilities to check whether the response contains hallucination. This approach increases costs and reduces request processing speed.

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