DeepSeek

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Thursday, 10 September 2026

DeepSeek releases V4.1-Flash, says it outperforms flagship V4-Pro

SiliconANGLE 1 month ago 15 ● 5 sources

DeepSeek released DeepSeek-V4.1-Flash and says it beats its larger DeepSeek-V4-Pro on performance, cost, speed, and total runtime. Starting Sept. 14, V4-Pro API requests will be served by V4.1-Flash and billed at Flash’s rates until V4.1-Pro launches, while V4-Flash and the August experimental vision model are retired. The change shifts default routing and pricing to the smaller mixture-of-experts model, with V4-Pro becoming a temporary backend rather than the billed endpoint.

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Model Release Open-Weight Models Mixture-of-Experts DeepSeek

DeepSeek AI Released DeepSeek-V4.1-Flash with 1M Context, FP4 KV Cache, and Cross-Layer Attention Reuse

MarkTechPost 1 month ago 19 ● 5 sources

DeepSeek AI released DeepSeek-V4.1-Flash, a multimodal Mixture-of-Experts model designed to reduce long-context KV-cache strain in LLM serving. The global KV cache footprint is 890 bytes per token with a 1M-token context window, and the model ships as open weights under an MIT license. Persistent KV caching is reduced (including FP4 quantization and bounded replay), enabling longer contexts to be more deployable with lower storage and bandwidth demands.

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AI Infrastructure Large Language Models Model Release DeepSeek

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