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.