Put companies on watchlist
Alibaba Cloud
ISIN: US01609W1027
WKN: A117ME
Curious about what AI knows about Alibaba? Just one click more
More AI Integrations
About
Company Snapshot
New: Enable Investor Alerts
Be informed about new publications
New: AI Factsheet

Corporate News meets AI! 
Content analysis and summary

Alibaba Cloud · ISIN: US01609W1027 · EQS - Company News (19 News)
Country: China · Primary market: United States of America · EQS NID: 2125882
29 April 2025 02:30AM

Alibaba Introduces Qwen3, Setting New Benchmark in Open-Source AI with Hybrid Reasoning



EQS Newswire / 29/04/2025 / 02:30 CET/CEST

HANGZHOU, CHINA - Media OutReach Newswire - 29 April 2025 - Alibaba has launched Qwen3, the latest generation of its open-sourced large language model (LLM) family, setting a new benchmark for AI innovation.

The Qwen3 series features six dense models and two Mixture-of-Experts (MoE) models, offering developers flexibility to build next-generation applications across mobile devices, smart glasses, autonomous vehicles, robotics and beyond.

All Qwen3 models – including dense models (0.6B, 1.7B, 4B, 8B, 14B, and 32B parameters) and MoE models (30B with 3B active, and 235B with 22B active) – are now open sourced and available globally.

Hybrid Reasoning Combining Thinking and Non-thinking Modes

Qwen3 marks Alibaba's debut of hybrid reasoning models, combining traditional LLM capabilities with advanced, dynamic reasoning. Qwen3 models can seamlessly switch between thinking mode for complex, multi-step tasks such as mathematics, coding, and logical deduction and non-thinking mode for fast, general-purpose responses.

For developers accessing Qwen3 through API, the model offers granular control over thinking duration (up to 38K tokens), enabling an optimized balance between intelligent performance and compute efficiency. Notably, the Qwen3-235B-A22B MoE model significantly lowers deployment costs compared to other state-of-the-art models, reinforcing Alibaba's commitment to accessible, high-performance AI.

Breakthroughs in Multilingual Skills, Agent Capabilities, Reasoning and Human Alignment

Trained on a massive dataset of 36 trillion tokens – double that of its predecessor Qwen2.5 -- Qwen3 delivers significant advancement on reasoning, instruction following, tool use and multilingual tasks.

Key capabilities include:

  • Multilingual Mastery: Supports 119 languages and dialects, with leading performance in translation and multilingual instruction-following.
  • Advanced Agent Integration: Natively supports the Model Context Protocol (MCP) and robust function-calling, leading open-source models in complex agent-based tasks.
  • Superior Reasoning: Surpasses previous Qwen models (QwQ in thinking mode and Qwen2.5 in non-thinking mode) in mathematics, coding, and logical reasoning benchmarks.
  • Enhanced Human Alignment: Delivers more natural creative writing, role-playing, and multi-turn dialogue experiences for more natural, engaging conversations.

626153-image-1-jpeg-550x.jpeg
Qwen3 models achieve top-tier results across industry benchmarks

Thanks to advancements in model architecture, increase in training data, and more effective training methods, Qwen3 models achieve top-tier results across industry benchmarks such as AIME25 (mathematical reasoning), LiveCodeBench (coding proficiency), BFCL (tool and function-calling capabilities), and Arena-Hard (benchmark for instruction-tuned LLMs). Additionally, to develop the hybrid reasoning model, a four-stage training process was implemented, which includes long chain-of-thought (CoT) cold start, reasoning-based reinforcement learning (RL), thinking mode fusion, and general RL.

Open Access to Drive Innovation

Qwen3 models are now freely available for download on Hugging Face, GitHub and ModelScope, and can be explored on chat.qwen.ai. API access will soon be available through Alibaba's AI model development platform Model Studio. Qwen3 also powers Alibaba's flagship AI super assistant application, Quark.

Since its debut, the Qwen model family has attracted over 300 million downloads worldwide. Developers have created more than 100,000 Qwen-based derivative models on Hugging Face, making Qwen one of the world's most widely adopted open-source AI model series.
Hashtag: #AlibabaCloud

The issuer is solely responsible for the content of this announcement.

About Alibaba Group

Alibaba Group's mission is to make it easy to do business anywhere. The company aims to build the future infrastructure of commerce. It envisions that its customers will meet, work and live at Alibaba, and that it will be a good company that lasts for 102 years. www.alibabagroup.com

225647
News Source: Alibaba Cloud

29/04/2025 Dissemination of a Financial Press Release, transmitted by EQS News.
The issuer is solely responsible for the content of this announcement.

Media archive at www.todayir.com

Visual performance / price development - Alibaba Cloud
Smart analysis and research tools can be found here.
MIC: XNYS

This publication was provided by our content partner EQS3.

EQS Newswire
via EQS - Newsfeed
EQS Group AG ©2025
(DGAP)
Contact:
Karlstraße 47 D-80333 München
+49 (0) 89 444 430-000

P R O D U C T   S U G G E S T I O N S

The information presented here has been provided by our content partner EQS-Group. The originator of the news is the respective issuer, the company relating to the news, a publication service provider (press or information agency) which uses the distribution service of EQS to transmit company news to shareholders, investors, investors or interested parties. The original publications and other company-relevant information can be found at eqs-news.com.


The information you can access does not constitute investment advice. The presentation of our cooperation partners, where the implementation of investment decisions would be possible depending on the individual risk profile, is solely at the discretion of the person using the service. We only present companies of which we are convinced that the range of services and customer service will satisfy discerning investors.

If you are considering leverage products, familiarise yourself with the typical characteristics of the financial instruments beforehand. Take the time to determine the risk content of the planned investment before making an investment decision. Bear in mind that a total loss cannot be ruled out with leverage products.

For newcomers to the subject, we offer various options in both the training and the tools section, through which you can train theoretical knowledge and practical experience and thus improve your skills. The offer ranges from participation in webinars to personal mentoring. The range is continuously being expanded.


1 Lab features are usually functionalities that emerge from the think tank of the investor community. In the early stages, these are experimental functionalities whose development process is largely determined by use and the resulting feedback from the community. When integrating external services or functionalities, the functionality can only be guaranteed to the extent that the individual process elements, such as interfaces, interact with each other.