{"slug": "new-deepseek-model-v4-1-flash-cuts-memory-needs-for-ai-agents", "title": "New Deepseek model V4.1-Flash cuts memory needs for AI agents", "summary": "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.", "body_md": "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.\n\nThe article [New Deepseek model V4.1-Flash cuts memory needs for AI agents](https://the-decoder.com/new-deepseek-model-v4-1-flash-cuts-memory-needs-for-ai-agents/) appeared first on [The Decoder](https://the-decoder.com).", "url": "https://wpnews.pro/news/new-deepseek-model-v4-1-flash-cuts-memory-needs-for-ai-agents", "canonical_source": "https://the-decoder.com/new-deepseek-model-v4-1-flash-cuts-memory-needs-for-ai-agents/", "published_at": "2026-09-10 12:40:51+00:00", "updated_at": "2026-09-10 13:05:49.354635+00:00", "lang": "en", "topics": ["large-language-models", "ai-products", "ai-agents", "ai-research"], "entities": ["Deepseek", "V4.1-Flash", "Opus 5", "GPT-5.6 Sol", "DeepSWE"], "alternates": {"html": "https://wpnews.pro/news/new-deepseek-model-v4-1-flash-cuts-memory-needs-for-ai-agents", "markdown": "https://wpnews.pro/news/new-deepseek-model-v4-1-flash-cuts-memory-needs-for-ai-agents.md", "text": "https://wpnews.pro/news/new-deepseek-model-v4-1-flash-cuts-memory-needs-for-ai-agents.txt", "jsonld": "https://wpnews.pro/news/new-deepseek-model-v4-1-flash-cuts-memory-needs-for-ai-agents.jsonld"}}