Full Alibaba Models Support via DashScope Now Available
Date: 2025-07-31
Summary
AvalAI now provides full native support for Alibaba's comprehensive Qwen model family through their official Alibaba Cloud - DashScope infrastructure. This major update includes over 40 cutting-edge models spanning text generation, vision-language processing, reasoning, machine translation, and coding capabilities, all accessible via our unified API endpoints.
Details
We're excited to announce that AvalAI now offers complete native access to Alibaba's entire Qwen model ecosystem through their official DashScope cloud platform. This integration provides developers with direct access to Alibaba's most advanced AI models while maintaining the simplicity of our unified API.
Complete Model Family Coverage
This release includes comprehensive support for all major Qwen model families:
Qwen Turbo Series
High-performance models optimized for speed and efficiency:
- qwen-turbo: Latest turbo model with 131K context window
- qwen-turbo-latest: Always-updated version of the turbo model
- qwen-turbo-2025-04-28: Specific dated version for consistency
Qwen Plus Series
Balanced models offering excellent performance across diverse tasks:
- qwen-plus: Advanced general-purpose model with 131K context
- qwen-plus-latest: Most recent plus model version
- qwen-plus-2025-07-14: Latest stable release
- qwen-plus-2025-04-28: Previous stable version
Qwen Max Series
Premium models for the most demanding applications:
- qwen-max: Top-tier model with advanced reasoning capabilities
- qwen-max-latest: Current flagship model
- qwen-max-2025-01-25: Stable production version
Vision-Language Models
Multimodal models for text and image understanding:
- Qwen 2.5 VL Series: qwen2.5-vl-72b-instruct, qwen2.5-vl-32b-instruct, qwen2.5-vl-7b-instruct, qwen2.5-vl-3b-instruct
- Qwen VL Series: qwen-vl-max, qwen-vl-plus, qwen-vl-ocr for specialized vision tasks
QVQ Max Series
Advanced reasoning models with visual question-answering capabilities:
- qvq-max: Cutting-edge reasoning model
- qvq-max-latest: Most recent reasoning model
- qvq-max-2025-03-25: Stable reasoning version
Qwen 3 Series
Next-generation models with enhanced capabilities:
- Standard Models: qwen3-32b, qwen3-14b, qwen3-8b, qwen3-4b, qwen3-1.7b, qwen3-0.6b
- A3B Models: qwen3-30b-a3b with thinking and instruct variants
- A22B Models: qwen3-235b-a22b with specialized reasoning capabilities
Specialized Models
Purpose-built models for specific use cases:
- QWQ Plus: Advanced reasoning models (qwq-plus, qwq-plus-2025-03-05)
- MT Series: Machine translation models (qwen-mt-plus, qwen-mt-turbo)
- Coder Series: Programming-focused models (qwen3-coder-480b-a35b-instruct, qwen3-coder-plus)
- Long Context: Extended context models like qwen2.5-7b-instruct-1m and qwen2.5-14b-instruct-1m
API Integration
All Alibaba models are now accessible through our standard endpoints:
Primary Support: v1/chat/completions endpoint with full feature support Limited Support: v1/messages endpoint for basic interactions
Usage Examples
from openai import OpenAI
client = OpenAI(
api_key="your-avalai-api-key", # Replace with your actual API key
base_url="https://api.avalai.ir/v1",
)
# Using Qwen Plus for general tasks
response = client.chat.completions.create(
model="qwen-plus",
messages=[
{"role": "user", "content": "Explain quantum computing in simple terms."}
],
max_tokens=500,
)
print(response.choices[0].message.content)
# Using Qwen VL for vision tasks
response = client.chat.completions.create(
model="qwen2.5-vl-72b-instruct",
messages=[
{
"role": "user",
"content": [
{"type": "text", "text": "Describe what you see in this image."},
{
"type": "image_url",
"image_url": {
"url": "https://dashscope.oss-cn-beijing.aliyuncs.com/images/256_1.png"
},
},
],
}
],
)import { OpenAI } from "openai";
const client = new OpenAI({
apiKey: process.env.AVALAI_API_KEY,
baseURL: "https://api.avalai.ir/v1",
});
// Using Qwen Max for complex reasoning
const response = await client.chat.completions.create({
model: "qwen-max",
messages: [
{
role: "user",
content: "Solve this logic puzzle: If all roses are flowers, and some flowers are red, can we conclude that some roses are red?"
}
],
max_tokens: 300
});
console.log(response.choices[0].message.content);
// Using Qwen Coder for programming tasks
const codeResponse = await client.chat.completions.create({
model: "qwen3-coder-plus",
messages: [
{
role: "user",
content: "Write a Python function to calculate fibonacci numbers using dynamic programming."
}
]
});Key Features
- Native Integration: Direct access to Alibaba's official DashScope infrastructure
- Comprehensive Coverage: Over 40 models across all major use cases
- Unified API: Access all models through familiar OpenAI-compatible endpoints
- Advanced Capabilities: Support for multimodal inputs, long contexts, and specialized tasks
- Production Ready: Enterprise-grade reliability through official Alibaba Cloud infrastructure
Model Specifications
All models include detailed specifications for context windows, token limits, and capabilities. For complete pricing information, please refer to our Model Details documentation.