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Alibaba's Qwen3.8-Max Release and Ecosystem Adoption

Alibaba released the 2.4T parameter Qwen3.8-Max, quickly followed by Day-0 support and serverless hosting from platforms like vLLM and Together AI.

2026-08-12 ~ 2026-08-13 · 3 episodes · 21 posts

Episode 1 · Alibaba Open-Sources 2.4T Parameter Flagship Qwen3.8-Max (2026-08-12, 17 posts)

Alibaba's Qwen team has debuted its new Qwen3.8-2.4T-A95B model on Hugging Face, swiftly climbing the trending list. The model boasts a total parameter count of 2.4 trillion (2.4T) and utilizes a Mixture of Experts (MoE) architecture, activating approximately 95 billion (95B) parameters per inference.

Confirmed

  • The model's page is live on Hugging Face, confirming a total parameter count of 2.4T with 95B active parameters.
  • It has officially hit the Hugging Face trending list.
  • The model will feature open weights, with Nebius Token Factory announced as a Day 0 launch partner.

Unconfirmed

  • Based on leaked configuration details viewed by developer @multimodalart, the model natively supports robust vision and Agent tool-calling capabilities. However, these feature specifics currently stem solely from the leaked data.

Why it matters

  • As the latest flagship in the Qwen series, its massive 2.4T parameter scale makes it one of the industry's most closely watched ultra-large models. Its open-weights approach and native multimodal/Agent capabilities have generated significant buzz across the AI community.

Episode 2 · vLLM Announces Day-0 Support for Qwen3.8 2.4T Model (2026-08-13, 2 posts)

vLLM has announced Day-0 support for Alibaba's massive Qwen3.8-2.4T-A95B open-source model, providing out-of-the-box 4-bit quantization to enable single-node execution.

Episode 3 · Together AI Launches Serverless Inference for Qwen3.8-2.4T-A95B (2026-08-13, 2 posts)

Together AI has launched serverless inference support for the Qwen3.8-2.4T-A95B model, featuring 256K context and optimized for high-throughput coding and agentic workloads, enabling robust long-range task management.