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Serve Qwen3.8-2.4T-A95B, a 2.4T-Parameter Model, with Configurable Reasoning on NVIDIA GB300 NVL72 | NVIDIA Technical Blog

Alibaba released the open weights for Qwen3.8-2.4T-A95B (Qwen3.8-Max), its largest open-weight model, bringing near-frontier capabilities to the open ecosystem. It has 2.4T total parameters with 95B…

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Serve Qwen3.8-2.4T-A95B, a 2.4T-Parameter Model, with Configurable Reasoning on NVIDIA GB300 NVL72 | NVIDIA…

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Alibaba's Qwen3.8 model goes live on Nvidia's GB300, hits 4,000 tokens per second

Alibaba released Qwen3.8-Max (2.4T sparse-MoE), hitting 4,000 tokens/sec on Nvidia GB300 and scoring 86.1 OSWorld-Verified, outperforming Claude/GPT variants. At $2 per 1M input tokens with open weights, Qwen3.8 pressures OpenAI/Claude pricing while fragmenting closed-model dominance for enterprises.

Serve Qwen3.8-2.4T-A95B, a 2.4T-Parameter Model, with Configurable Reasoning on NVIDIA GB300 NVL72 | NVIDIA Technical Blog

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Serve Qwen3.8-2.4T-A95B, a 2.4T-Parameter Model, with Configurable Reasoning on NVIDIA GB300 NVL72 | NVIDIA…

Alibaba's Qwen3.8 model goes live on Nvidia's GB300, hits 4,000 tokens per second

Timeline cronologica

Qwen3.8-Max says it beats GPT-5.6 and Fable 5 at computer use. Here's my checklist before I believe any open-weights release

Qwen3.8-2.4T Is Here: Alibaba 2.4 Trillion Parameter MoE Model Just Changed the Open Source AI Landscape

Qwen3.8-Max says it beats GPT-5.6 and Fable 5 at computer use. Here's my checklist before I believe any…

Serve Qwen3.8-2.4T-A95B, a 2.4T-Parameter Model, with Configurable Reasoning on NVIDIA GB300 NVL72 | NVIDIA Technical Blog

Alibaba's Qwen3.8 model goes live on Nvidia's GB300, hits 4,000 tokens per second