Alibaba Cloud AI Services: Tongyi LLM, Bailian Platform, DeepSeek Integration Guide

The AI wave is here, and enterprises want to adopt AI to improve efficiency. But there are too many choices—OpenAI, Claude, Gemini, Tongyi Qwen, DeepSeek... which one should you choose?

If your business targets the China market, or you need a cost-effective AI solution, Alibaba Cloud's AI services are worth serious consideration. This article introduces Alibaba Cloud's core AI services to help you determine if they fit your needs.

Want to learn more about Alibaba Cloud services? See Alibaba Cloud Complete Guide.

Alibaba Cloud AI Services Overview

Alibaba Cloud's AI product line can be divided into several layers:

Model Layer

• Tongyi LLM (Qwen Series): Alibaba's proprietary large language models
• Model Gallery: Integration of third-party models (including DeepSeek, Llama, etc.)

Platform Layer

• Bailian Platform: Similar to AWS Bedrock for model invocation and application development
• PAI (Platform for AI): Machine learning training platform

Application Layer

• Intelligent Customer Service
• Content Moderation
• Speech Recognition / Synthesis
• Image Recognition

For most enterprises, the most commonly used are Tongyi LLM and Bailian Platform. Let's dive into these two core services.

Tongyi LLM Introduction

Tongyi Qwen is Alibaba's DAMO Academy's proprietary large language model series, competing with international top models like GPT-4, Claude, and Gemini.

Qwen Model Family

Tongyi Qwen has multiple versions for different scenarios:

Model	Parameters	Features	Use Cases
Qwen-Max	Largest	Strongest reasoning	Complex tasks, creative writing
Qwen-Plus	Medium	Balanced performance and cost	General conversation, Q&A
Qwen-Turbo	Smaller	Fast response, low cost	Simple tasks, high concurrency
Qwen-Long	Medium	Long text processing	Document analysis, long conversations
Qwen-VL	Medium	Multimodal (text+image)	Image understanding, visual Q&A
Qwen-Audio	Medium	Speech processing	Speech recognition, voice chat
Qwen-Coder	Medium	Code-specialized	Code generation, debugging

Core Capabilities

Chinese Language Understanding

This is Tongyi Qwen's biggest advantage. With training data containing large amounts of Chinese corpus, it often outperforms GPT-4 and Claude on Chinese tasks:

• Handles both Traditional and Simplified Chinese
• Understands differences between Taiwan and China terminology
• More natural Chinese writing style
• More accurate processing of Chinese documents and tables

Code Generation

Qwen-Coder is specifically optimized for code-related tasks:

• Supports mainstream programming languages
• Code completion and debugging
• Code explanation and refactoring
• Test case generation

Multimodal Capabilities

Qwen-VL can understand images:

• Image content description
• Visual Question Answering (VQA)
• OCR text recognition
• Chart analysis

Open Source Versions

Alibaba has open-sourced some Qwen models. You can:

• Download models from Hugging Face
• Self-deploy in private environments
• Fine-tune models
• Commercial use with no licensing fees

Open source versions are suitable for enterprises with technical teams and high data privacy requirements. But you need to handle GPU resources and operations yourself.

If you want to self-deploy models, you'll need GPU servers. See Alibaba Cloud ECS Tutorial for GPU instance options.

Bailian Platform Features

Bailian is Alibaba Cloud's one-stop AI development platform, similar to AWS Bedrock and Azure AI Studio.

Core Features

Model Gallery

Bailian integrates multiple models for you to choose from:

Type	Models	Features
Alibaba Proprietary	Qwen Series	Best Chinese, low cost
Open Source	Llama 3, Mistral	Community support, fine-tunable
Third-party	DeepSeek	Strong reasoning, high value

You can test different models on the same platform to find the best one for your tasks.

Playground

Before formal development, you can use the Playground to:

• Input prompts and test responses
• Adjust parameters (Temperature, Top-p, etc.)
• Compare outputs from different models
• Estimate token consumption

API Invocation

Bailian provides standardized API interfaces:

from dashscope import Generation

response = Generation.call(
    model='qwen-max',
    prompt='Please introduce the advantages of Alibaba Cloud in English'
)
print(response.output.text)

The API is compatible with OpenAI format, reducing migration costs.

Model Fine-tuning

If general models don't meet your needs, Bailian supports:

• Uploading training data
• Selecting base models
• Configuring training parameters
• One-click training launch
• Deploying fine-tuned models

Fine-tuning is suitable for scenarios requiring domain-specific knowledge, such as legal, medical, or financial fields.

DeepSeek Integration

DeepSeek is a very popular AI model recently, known for its strong reasoning capabilities and excellent cost-performance ratio.

Good news: Bailian platform has integrated DeepSeek models:

DeepSeek-V3

• Reasoning capabilities approaching Claude 3.5
• Excellent Chinese performance
• Much cheaper than GPT-4

DeepSeek-Coder

• Specifically optimized for code tasks
• Supports multiple programming languages
• Extremely high value

Using DeepSeek through Bailian platform, you get:

• Unified API interface
• Alibaba Cloud billing management
• Enterprise-grade SLA guarantees
• China compliance

---

Want to introduce AI in your enterprise but don't know where to start? Tongyi, DeepSeek, GPT... many choices, many pitfalls. Schedule AI Adoption Consultation, let experienced professionals help you avoid pitfalls.

---

Use Cases

What applications are Alibaba Cloud AI services suitable for?

Intelligent Customer Service

This is one of the most mature AI application scenarios:

• Auto-reply: Handle common questions, reduce labor
• Intent Recognition: Understand what customers really want to ask
• Multi-turn Conversation: Remember context, natural dialogue
• Human-AI Collaboration: Transfer complex issues to humans

Tongyi Qwen's Chinese understanding makes it particularly suitable for Chinese customer service scenarios.

Content Generation

A productivity tool for marketing teams:

• Automatic product description generation
• Social media post writing
• Email templates
• SEO article assistance

Note: AI-generated content still requires human review, especially for professional domains.

Code Assistance

Development teams can use AI to accelerate development:

• Automatic code completion
• Bug analysis and fix suggestions
• Code review
• Documentation generation
• Test case writing

Both Qwen-Coder and DeepSeek-Coder perform well in this area.

Knowledge Base Q&A (RAG)

This is a hot enterprise AI application:

1. Vectorize enterprise documents (PDF, Word, web pages)
2. When users ask questions, search relevant documents first
3. Send document content and questions to AI together
4. AI answers based on document content

This way AI can answer questions about internal company knowledge, with evidence and traceability.

Training data and vector databases can be stored in Alibaba Cloud OSS for cost control.

Data Analysis

Let AI help you analyze data:

• Natural language to SQL queries
• Data trend interpretation
• Automatic report generation
• Anomaly detection

Combined with Alibaba Cloud's data services (MaxCompute, DataWorks), you can build a complete intelligent analytics platform.

Pricing Plans

AI service fees are usually calculated by "Token". A token is approximately one Chinese character or half an English word.

Tongyi Qwen Pricing

Model	Input Price	Output Price
Qwen-Max	¥0.02/1K Tokens	¥0.06/1K Tokens
Qwen-Plus	¥0.0008/1K Tokens	¥0.002/1K Tokens
Qwen-Turbo	¥0.0003/1K Tokens	¥0.0006/1K Tokens
Qwen-Long	¥0.0005/1K Tokens	¥0.002/1K Tokens

Comparison with OpenAI / Claude

Model	Input Price (approx.)	Output Price (approx.)
GPT-4 Turbo	$0.01/1K Tokens (≈¥0.07)	$0.03/1K Tokens (≈¥0.21)
Claude 3.5 Sonnet	$0.003/1K Tokens (≈¥0.02)	$0.015/1K Tokens (≈¥0.10)
Qwen-Max	¥0.02/1K Tokens	¥0.06/1K Tokens
Qwen-Plus	¥0.0008/1K Tokens	¥0.002/1K Tokens

Tongyi Qwen's price advantage is obvious:

• Qwen-Max is about 1/3 the price of GPT-4
• Qwen-Plus is about 1/100 the price of GPT-4

For high-volume usage scenarios, this cost difference is very significant.

Cost Calculation Example

Assume a customer service bot:

• 1,000 conversations per day
• Each conversation about 500 tokens input + 300 tokens output

Using Qwen-Plus:

• Input: 500 × 1000 ÷ 1000 × ¥0.0008 = ¥0.4/day
• Output: 300 × 1000 ÷ 1000 × ¥0.002 = ¥0.6/day
• Monthly: ¥1 × 30 = ¥30/month

Using GPT-4 Turbo:

• Input: 500 × 1000 ÷ 1000 × ¥0.07 = ¥35/day
• Output: 300 × 1000 ÷ 1000 × ¥0.21 = ¥63/day
• Monthly: ¥98 × 30 = ¥2,940/month

Nearly 100x difference! Of course, model capabilities also differ, so testing with actual tasks is needed.

---

How to estimate AI costs? Pay as you go, but first choose the right model and architecture. Schedule Free Consultation, we'll help you evaluate the cost-effectiveness of AI adoption.

---

Comparison with AWS / GCP AI Services

The three major clouds each have unique AI service features:

Item	Alibaba Cloud (Bailian)	AWS Bedrock	GCP Vertex AI
Proprietary Model	Tongyi Qwen	Titan	Gemini
Third-party Models	DeepSeek, Llama	Claude, Llama, Mistral	Claude, Llama
Chinese Capability	⭐⭐⭐⭐⭐	⭐⭐⭐	⭐⭐⭐⭐
English Capability	⭐⭐⭐⭐	⭐⭐⭐⭐⭐	⭐⭐⭐⭐⭐
China Availability	✅ Full support	⚠️ Limited	❌ Unavailable
Price	Lowest	Medium	Medium
Fine-tuning Support	✅	✅	✅
Enterprise Compliance	China certifications	International certifications	International certifications

Selection Recommendations

Choose Alibaba Cloud AI if you:

• Primarily serve the China market
• Need Chinese language processing
• Are cost-sensitive with high usage
• Need to comply with China data regulations

Choose AWS Bedrock if you:

• Already use the AWS ecosystem
• Need top models like Claude
• Serve global markets
• Need international compliance certifications

Choose GCP Vertex AI if you:

• Already use the GCP ecosystem
• Need integration with BigQuery and other services
• Want to use Gemini models
• Serve European and American markets

In practice, many enterprises mix multiple AI services, choosing the most suitable model for different scenarios.

FAQ

Which is better, Tongyi Qwen or ChatGPT?

Each has pros and cons:

• Chinese tasks: Tongyi Qwen is usually better
• English tasks: GPT-4 is usually better
• Cost: Tongyi Qwen is much cheaper
• Creative writing: GPT-4 performs slightly better
• Code: Similar performance, both work well

Test with your actual tasks to choose the most suitable one.

Are there problems using OpenAI API in mainland China?

Yes, several issues:

1. Network issues: May need VPN to connect
2. Latency issues: Even if connected, latency is higher
3. Compliance issues: Some industries may have data export restrictions

Within mainland China, using Tongyi Qwen or other domestic models is a safer choice.

Does Bailian platform support private deployment?

Currently Bailian is mainly a cloud service. For private deployment, consider:

1. Self-deploy open source Qwen models
2. Use Alibaba Cloud PAI platform for training and deployment
3. Purchase Alibaba Cloud private cloud solutions

Are there copyright issues with AI-generated content?

This is a complex legal issue with different regulations in different countries:

• Copyright ownership of pure AI-generated content is still debated
• Important content should be edited and confirmed by humans
• Consult legal professionals before commercial use

How to control AI costs?

Several tips:

1. Choose the right model: Use Turbo for simple tasks, Max only for complex tasks
2. Shorten prompts: Concise prompts save input tokens
3. Limit output length: Set max_tokens parameter
4. Cache responses: Don't repeat API calls for the same questions
5. Use RAG: Search first, then call AI to reduce unnecessary API calls

---

Want to Adopt AI in Your Enterprise?

AI adoption isn't just about choosing a model, you also need to consider:

• Scenario selection: Which businesses are suitable for AI empowerment?
• Technical architecture: API calls or self-deployment?
• Data preparation: How to prepare training data?
• Cost control: How to avoid token cost explosion?

Schedule AI Adoption Consultation, we'll give you the most suitable recommendations based on your business needs.

From POC to Production, we accompany you the whole way

---

Related Articles

• Alibaba Cloud Complete Guide - Alibaba Cloud services overview
• Alibaba Cloud ECS Tutorial - GPU instances needed for self-deploying open source models
• Alibaba Cloud OSS Complete Tutorial - Training data can be stored in OSS
• Alibaba Cloud International Guide - Registration guide for Taiwan users
• Alibaba Cloud CDN and DNS Tutorial - CDN acceleration for AI applications