{
  "id": 6664224,
  "title": "DeepSeek releases V4.1-Flash, says it outperforms flagship V4-Pro",
  "url": "https://urgent.news/2026/09/10/deepseek-releases-v4-1-flash-says-it-outperforms-flagship-v4-pro",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-10T23:45:40.000Z",
  "source": {
    "name": "SiliconANGLE",
    "slug": "siliconangle",
    "url": "https://siliconangle.com/2026/09/10/deepseek-releases-v4-1-flash-says-it-outperforms-flagship-v4-pro/"
  },
  "original_language": "en",
  "account": null,
  "summary": "Chinese AI startup DeepSeek has released V4.1-Flash, a new model that outperforms its flagship V4-Pro on multiple performance metrics. The open-weight model, with 552 billion parameters, is smaller than V4-Pro's 284 billion parameters and is billed at lower rates until V4.1-Pro is launched. The new model is a mixture-of-experts architecture with a causal encoder-decoder design, which keeps just 8 billion parameters active during processing. DeepSeek claims that the model's memory efficiency, achieved through a four-bit floating-point format for key-value cache storage, results in a footprint of 890 bytes per token, about a quarter of what V4-Flash needs. The model scored 90.6 on Terminal-Bench 2.1, narrowly ahead of Anthropic's Claude Opus 5 at 89.1 and OpenAI's GPT-5.6 Sol at 88.8.",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}