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Alibaba's Qwen-Image-2.0 doubles compression and cuts generation steps from 40 to 4

Alibaba's technical report on Qwen-Image-2.0 breaks down how the image model compresses images twice as aggressively as most competitors, stabilizes training with a reworked transformer, and uses a dedicated module that automatically expands short user input into detailed prompts. A distilled version needs just four denoising steps instead of 40. On LMArena, a platform where users run blind comparisons, Qwen-Image-2.0 currently ranks 9th.<br /> The article Alibaba's Qwen-Image-2.0 doubles compression and cuts generation steps from 40 to 4 appeared first on The Decoder. [...]

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venturebeat
Did Alibaba just kneecap its powerful Qwen AI team? Key figures depart in wake of latest open source release

Alibaba's Qwen team of AI researchers have been among the most prolific and well-regarded by international machine learning community — shipping dozens of powerful generalized and specialized g [...]

Match Score: 231.09

venturebeat
Open source Qwen-Image-2512 launches to compete with Google's Nano Banana Pro in high quality AI image generation

When Google released its newest AI image model Nano Banana Pro (aka Gemini 3 Pro Image) in November, it reset expectations for the entire field. For the first time, uses of an image model could use na [...]

Match Score: 196.27

venturebeat
Qwen's new Deep Research update lets you turn its reports into webpages, podcasts in seconds

Chinese e-commerce giant Alibaba’s famously prolific Qwen Team of AI model researchers and engineers has introduced a major expansion to its Qwen Deep Research tool, which is available as an optiona [...]

Match Score: 171.80

venturebeat
Alibaba's AI video model rises to No. 2 in global rankings, as OpenAI's Sora and ByteDance's Seedance fall away

Alibaba Cloud on Sunday released HappyHorse 1.1, a major upgrade to its AI video generation model that the company says delivers production-ready video synthesis across core content creation scenarios [...]

Match Score: 163.74

venturebeat
Google's Nano Banana 2 takes aim at the production cost problem that's kept AI image gen out of enterprise workflows

For the last six months, enterprises wanting to deploy high quality AI image generation at scale have faced an uncomfortable trade-off: pay premium prices for Google's Nano Banana Pro model, or s [...]

Match Score: 159.04

venturebeat
Alibaba's Qwen 3.5 397B-A17 beats its larger trillion-parameter model — at a fraction of the cost

Alibaba dropped Qwen3.5 earlier this week, timed to coincide with the Lunar New Year, and the headline numbers alone are enough to make enterprise AI buyers stop and pay attention.The new flagship ope [...]

Match Score: 134.99

venturebeat
Alibaba's proprietary Qwen3.7-Max can run for 35 hours autonomously and supports external harnesses like Anthropic's Claude Code

The AI industry has fully entered the "agent era," a paradigm where AI models do far more than generate text — they now actively plan, execute, and course-correct complex tasks over days r [...]

Match Score: 129.21

venturebeat
Nvidia says it can shrink LLM memory 20x without changing model weights

Nvidia researchers have introduced a new technique that dramatically reduces how much memory large language models need to track conversation history — by as much as 20x — without modifying the mo [...]

Match Score: 125.67

venturebeat
Alibaba's Qwen3.7-Plus supports text, video and imagery inputs at low cost of $0.4/$1.6 per 1M token — but it's proprietary

Alibaba this week released Qwen3.7-Plus, the latest AI large language model (LLM) in its globally beloved and increasingly expansive Qwen family, boasting more multimodal capabilities and a 60% lower [...]

Match Score: 125.63