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[ARTICLE · art-125767] src=the-decoder.com ↗ pub= topic=large-language-models verified=true sentiment=↑ positive

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

Deepseek released V4.1-Flash, a multimodal model with 552 billion parameters that cuts KV cache memory to a quarter of its predecessor's requirement, with only 16 billion parameters active per token. On the DeepSWE coding benchmark, V4.1-Flash narrowly beats Opus 5 and GPT-5.6 Sol, and the model ships under the MIT license targeting cheaper AI agents.

by read1 min views1 publishedSep 10, 2026

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 MIT license and targets much cheaper AI agents.

The article New Deepseek model V4.1-Flash cuts memory needs for AI agents appeared first on The Decoder.

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