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Market Capitalization:3 083 077 452 799,8 USD
Vol. in 24 hours:140 630 569 053,1 USD
Dominance:BTC 58,64%
ETH:12,24%
Market Capitalization:3 083 077 452 799,8 USD
Vol. in 24 hours:140 630 569 053,1 USD
Dominance:BTC 58,64%
ETH:12,24%
Market Capitalization:3 083 077 452 799,8 USD
Vol. in 24 hours:140 630 569 053,1 USD
Dominance:BTC 58,64%
ETH:12,24%
Market Capitalization:3 083 077 452 799,8 USD
Vol. in 24 hours:140 630 569 053,1 USD
Dominance:BTC 58,64%
ETH:12,24%
Market Capitalization:3 083 077 452 799,8 USD
Vol. in 24 hours:140 630 569 053,1 USD
Dominance:BTC 58,64%
ETH:12,24%
Market Capitalization:3 083 077 452 799,8 USD
Vol. in 24 hours:140 630 569 053,1 USD
Dominance:BTC 58,64%
ETH:12,24%
Market Capitalization:3 083 077 452 799,8 USD
Vol. in 24 hours:140 630 569 053,1 USD
Dominance:BTC 58,64%
ETH:12,24%
Market Capitalization:3 083 077 452 799,8 USD
Vol. in 24 hours:140 630 569 053,1 USD
Dominance:BTC 58,64%
ETH:12,24%
Market Capitalization:3 083 077 452 799,8 USD
Vol. in 24 hours:140 630 569 053,1 USD
Dominance:BTC 58,64%
ETH:12,24%
Yes

Alibaba launches new Qwen 3 large language models.

crypthub
Alibaba launches new Qwen 3 large language models.

Alibaba's New AI Models

Alibaba recently launched the Qwen 3 family of AI models, ranging from 0.6 billion to 235 billion parameters. These models aim to challenge established AI leaders like Google and OpenAI. The release intensifies global AI development and introduces a significant competitor in the market.

Key Features of Qwen 3

The Qwen 3 models feature a unique ‘hybrid’ architecture that balances detailed reasoning for complex tasks with a faster ‘non-thinking’ mode for simpler requests. They support 119 languages and were trained on a massive 36 trillion tokens, contributing to their claimed improved performance. Alibaba’s data indicates strong capabilities in areas like programming, math, and reasoning, with some models surpassing competitors.

Open Access and Geopolitical Impact

A notable aspect is the open-source availability of many Qwen 3 models via platforms like Hugging Face and GitHub. This trend reflects a broader movement towards accessible AI capabilities, even amidst geopolitical factors like restrictions on chip sales. The development highlights the increasing sophistication of AI labs outside of the West and the impact of international policy on the industry.