Alibaba unveils Qwen3.8 AI model with 2.4 trillion parameters, claims second only to Fable 5

Reviewed byNidhi Govil

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Alibaba has launched Qwen3.8-Max-Preview at the World Artificial Intelligence Conference, positioning its latest AI model as second only to Anthropic's Fable 5. With 2.4 trillion parameters, the model marks Alibaba's entry into the multi-trillion-parameter tier, arriving just days after rival Moonshot AI released Kimi K3 with 2.8 trillion parameters. The announcement sent Alibaba shares up 3.5% but lacks independent benchmark verification.

Alibaba Qwen3.8-Max Enters Multi-Trillion Parameter Race

Alibaba Group unveiled Qwen3.8-Max-Preview on Sunday at the World Artificial Intelligence Conference in Shanghai, marking a significant milestone in the company's AI model development strategy

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. The preview build carries 2.4 trillion parameters, making it the first Qwen model above 1 trillion parameters capable of processing images, video and documents alongside text

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. Alibaba's Qwen team claimed the AI model ranks "second only to Fable 5," a reference to Anthropic's Fable 5, though the company offered no benchmark scores to support this assertion

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. The announcement triggered a market response, with Alibaba shares surging more than 3.5% in overnight trading on Monday

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Source: Geeky Gadgets

Source: Geeky Gadgets

Competitive Pressure from Chinese AI Companies Intensifies

The timing of Qwen3.8-Max places Alibaba's AI directly against domestic competitors, particularly Moonshot AI, which released Kimi K3 just three days earlier with 2.8 trillion parameters, setting the record for the largest open-weight AI model yet

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. Interest in Kimi K3 surged beyond expectations, forcing Moonshot to pause new subscriptions on Sunday as users swarmed to test the model

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. Across cited benchmarks, K3 trailed behind only OpenAI's GPT-5.6 Sol and Anthropic's Fable 5, while outperforming them in certain coding and general agent tasks at a cheaper price

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. These launches from Chinese AI companies have disrupted the market, sending shares of rival AI model maker Zhipu down by more than 45% in the past five days

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. MiniMax, which went public earlier this year, has lost nearly 13% of its share value in the past five days and more than 61% over the past month

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Missing Benchmarks Raise Questions About Performance Claims

The absence of independent verification stands out prominently in Alibaba's announcement. While the company's previous flagship, Qwen3.7-Max, shipped in May with a full set of published results including a score of 56.6 on the Artificial Analysis Intelligence Index, the Qwen3.8 preview arrived with no model card, no activated-parameter count and no benchmark data at all

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. Alibaba published no task-level comparison with Qwen3.7-Max and described the new model only as "continuously evolving"

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. For enterprise buyers weighing the announcement, the comparison with Fable 5 remains Alibaba's alone, with no independent leaderboard having scored Qwen3.8 yet

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. The last Qwen model that was ranked, Qwen3.7-Max, sits well down LMArena's list, where Fable 5 holds the number one position

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Multimodal Tasks and Technical Capabilities Show Promise

Qwen 3.8 Max features a remarkable 1 million token context window, positioning it for large-scale multimodal tasks

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. The model's ability to process text, images and video makes it particularly suited for sophisticated applications including generating interactive designs for web interfaces, creating immersive 3D coding environments, and maintaining coherence across extensive inputs

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. In front-end development, the model excels at generating responsive web layouts and detailed SVG animations, successfully replicating Mac OS-style interfaces and creating animated web designs with interactive elements

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. However, the model's iterative refinement process, while ensuring high precision, results in slower output generation compared to faster-performing competitors like Kimi K3

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Source: SiliconANGLE

Source: SiliconANGLE

Availability and Pricing Strategy Target Developer Adoption

The preview version is available through Alibaba's Token Plan subscription and its Qoder and QoderWork developer platforms, priced at 10% of the standard rate during the trial period

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. Alibaba is also offering an exclusive night-time rate with discounts of up to 98%

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. Open weights are promised "soon," though the company has not set a date or published license terms

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. Alibaba has made Qwen central to its effort to position itself as China's default AI supplier, releasing a steady run of open-weight AI models over the past year while building out cloud infrastructure and custom chips to run them

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Geopolitical Tensions Shape AI Development Trajectory

Moonshot AI reportedly plans to go public as early as in six months, riding on the growing wave of interest in cheaper Chinese AI models, despite efforts from Washington to curb semiconductor exports to the country

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. US curbs on semiconductor export restrictions to China over recent years have pushed China to focus on its own chip capabilities

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. Earlier this year, the country reportedly began restricting overseas travel for its top AI professionals to ensure its talent remains beneficial at home

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. Meanwhile, US lawmakers are urging the Trump administration to ban US companies from buying memory chips from Chinese semiconductor developers

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Source: Silicon Republic

Source: Silicon Republic

Future Developments Signal Continued Innovation

Alibaba has announced plans to address current limitations with the upcoming Qwen 4.0 series, which aims to deliver faster processing speeds, improved output quality for more polished results, and enhanced capabilities

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. According to leaked information, Qwen 3.8 is set for release in August 2026, with Qwen 4.0 following in September

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. These models are expected to outperform GLM 5.2, particularly in handling complex 3D coding and design tasks

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. Two stealth projects, codenamed "Caleb" and "Terrania Alpha," have surfaced during testing, exhibiting remarkable proficiency in generating intricate 3D environments

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. As competition intensifies, developers are increasingly focusing on AI distillation practices and cost efficiency, with DeepSeek Version 4GA scheduled for public release on Monday, July 20, 2026, and GLM 5.3 projected for late 2026

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