Qwen 3 API:
Next‑Gen Hybrid AI
Hybrid reasoning, 100+ languages, unmatched performance.
Think Deep, Respond Fast with Qwen 3
Qwen 3 is a transformer-based large language model family incorporating both dense and sparse Mixture-of-Experts (MoE) topologies. The MoE models implement multi-expert routing mechanisms with top-2 expert selection during token-level inference, enabling conditional computation. All models use rotary positional embeddings (RoPE), group-query attention (GQA), and support long context windows up to 128K tokens via position interpolation and memory-efficient attention. Models are instruction-tuned with RLHF and preference optimization to enhance alignment with human responses.
Hybrid Reasoning Engine
Qwen 3 toggles between deep logical “thinking” and efficient “non‑thinking” modes for task‑specific optimization.
Dense + MoE Architectures
Offers MoE in most powerful models in the family for dynamic computation paths and cost‑effective inference.
Multilingual Mastery
Trained on 36 trillion tokens, it natively supports 100+ languages, enabling robust translation and global deployment
Enterprise AI with Qwen 3
Transform operations with hybrid reasoning intelligence.
Healthcare
Qwen 3 supports biomedical document parsing, patient dialogue generation, and multilingual clinical note structuring. With its large context window and domain-adapted instruction finetuning, it can synthesize medical literature and patient data for diagnostic support and treatment recommendation systems.
E-Commetce
Qwen 3 enhances semantic product categorization, multi-language chatbot workflows, and user intent prediction by leveraging its multilingual embedding space and dynamic inference modes. The architecture supports real-time product metadata extraction and dialogue state tracking across high-traffic applications.
Financial Services
Qwen 3 enables automated financial document summarization, multi-turn regulatory question answering, and risk modeling through its long-context handling and high-precision numerical reasoning capabilities. The MoE can efficiently process large tabular and unstructured data inputs within compliance platforms.
Technical Comparison
Qwen 3 stands out in direct comparison to other leading models by combining architectural flexibility with domain-specific performance advantages across core NLP benchmarks.
Qwen 3 vs DeepSeek R1
DeepSeek R1 is a dense 67B parameter model optimized for structured reasoning and code synthesis. It incorporates retrieval-augmented pretraining and excels in GSM8K, HumanEval, and MMLU. However, Qwen 3’s MoE variants outperform DeepSeek in throughput and scaling due to sparse expert activation, reducing compute per inference while maintaining performance on logic-intensive tasks.
Learn more about DeepSeek R1 API.
Qwen 3 vs Gemini 2.5 Pro
Gemini 2.5 Pro is designed for multimodal input processing and excels in perception-grounded tasks involving image-text alignment. In pure language modeling, particularly on tasks like MATH and MMLU, Qwen 3 demonstrates stronger performance due to specialized pretraining on logical, formal, and computational data. Its transformer-MoE fusion allows adaptive token-level reasoning not yet exposed in Gemini’s architecture.
Learn more about Gemini 2.5 Pro API.
Qwen 3 vs OpenAI o1
OpenAI o1 is positioned as a general-purpose LLM with advanced safety tuning and multimodal integration. It performs consistently across broad benchmarks but lacks architectural transparency and efficient conditional computation. Qwen 3’s open hybrid design allows more granular control over model behavior, with superior performance in code and multi-turn QA tasks under long-context scenarios.
Learn more about OpenAI o1 API.
Why Choose AI/ML API solution?
AI/ML API provides scalability, faster deployment, and access to 200+ advanced machine learning models without the need for extensive in-house expertise or infrastructure.
Easy To Use
Our API allows seamless integration of powerful AI capabilities into your applications, regardless of your coding experience. Simply swap your API key to begin using the AI/ML API.
Scalable
AI/ML API provides flexibility for business growth since you can scale resources by purchasing more tokens as needed, ensuring optimal performance and cost efficiency
Affordable
We offer flat, predictable pricing, payable by card or cryptocurrency, keeping it the lowest on the market and affordable for everyone.
import os
from openai import OpenAI
client = OpenAI(
base_url="<https://api.aimlapi.com/v1>",
api_key="<YOUR_API_KEY>",
)
response = client.chat.completions.create(
model="Qwen/Qwen3-235B-A22B-fp8-tput",
messages=[
{
"role": "system",
"content": "You are an AI assistant who knows everything.",
},
{
"role": "user",
"content": "Tell me, why is the sky blue?"
},
],
)
message = response.choices[0].message.content
print(f"Assistant: {message}")
Getting started with
Alibaba's Qwen 3 API
Visit AI Playground to quickly try Qwen 3 API by Alibaba Cloud.
For more information about technical features, please refer to Qwen 3 documentation or model card.