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New Deepseek model V4.1-Flash cuts memory needs for AI agents

This story is from 2026-09-10. It is preserved in the archive; the latest stories are on the live feed.

Deepseek releases V4.1-Flash, a multimodal model with 552 billion parameters that cuts KV cache memory to a quarter of its predecessor. On the DeepSWE coding benchmark, it narrowly beats Opus 5 and GPT-5.6 Sol, even though only 16 billion parameters are active per token. The model ships under the M…

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  1. 2026-09-10 12:40 · The Decoder
    New Deepseek model V4.1-Flash cuts memory needs for AI agents

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