DeepSeek's Flash 1017 Model Claims 1M-Token Context on a Single GPU
DeepSeek released its v4.1-Flash 1017 language model on September 17, 2026, drawing skepticism over claims it can handle a million-token context. The model is a 284-billion-parameter sparse design that activates about 13 billion parameters per token, which keeps hardware needs modest. Its key innovation is a hybrid sparse and quantized attention method that compresses the memory cache by roughly 85 percent. The article presents a hypothetical law firm example showing the model running on one A100 GPU with data kept on-premises. Benchmark results cited include a 71.2 percent MMLU score, which the article describes as comparable to GPT-4-Turbo.
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