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Alibaba Releases Qwen Series of Open-Source Large Language Models and Multimodal Variants

Open source release Provisional 92% confidence first seen 23 January 2024, 14:13

Alibaba released the Qwen series of open-source large language models ranging from 1.8B to 72B parameters, trained on 2-3 trillion tokens with 32K context length support and competitive benchmark performance against Llama 2 and GPT-3.5. The company also released upgraded multimodal versions, Qwen-VL-Plus and Qwen-VL-Max, featuring improved image reasoning, text recognition, and support for image resolutions above one million pixels.

Source coverage

23 Jan, 14:13 Introducing Qwen Qwen 25 Jan, 05:33 Introducing Qwen-VL Qwen

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TLDRocket 3 August 2026

The story of AI in August 2026 is one of consolidation meeting enforcement. Alibaba's Qwen3.8-Max, a 2.4-trillion-parameter mixture-of-experts model with a million-token context window, arrives as a direct challenge to OpenAI and Anthropic's frontier offerings—priced at $2 per million input tokens, it's positioning itself as the capable-and-cheaper alternative that China's AI push has long promised. But the more consequential development is structural: enterprises are finally getting the plumbing to actually deploy these models. June, backed by Salesforce's Marc Benioff, raised $20 million to automate AI integration into legacy systems, scanning corporate infrastructure and generating deployment workflows without expensive consultant fees. This solves what's become clear as the real bottleneck—not model capability, but implementation friction in messy, heterogeneous corporate environments.

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Alibaba Releases Qwen Series of Open-Source Large Language Models and Multimodal Variants

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Every AI story that matters, in your inbox by 8am.

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