{"version":1,"type":"story","url":"https://digestai.news/story/deepseek-launches-v4-1-flash-1017-model-with-1-m-token-context","json":"https://digestai.news/story/deepseek-launches-v4-1-flash-1017-model-with-1-m-token-context.json","markdown":"https://digestai.news/story/deepseek-launches-v4-1-flash-1017-model-with-1-m-token-context.md","slug":"deepseek-launches-v4-1-flash-1017-model-with-1-m-token-context","headline":"Deepseek launches V4.1 Flash 1017 model with 1 M token context","summary":"Deepseek announced the V4.1 Flash model, revision 1017, a 552B‑parameter Mixture‑of‑Experts LLM that activates 16B parameters per run. The multimodal model accepts text and images and supports a 1 million token context window. Deepseek’s internal benchmarks place it between GPT‑5.6 Sol and Claude Opus 5, and it outperforms Anthropic’s LLM on task tests.\n\nThe upgrade cuts hardware needs dramatically: V4.1 uses only one‑quarter of the HBM and one‑eighth of SSD storage for its KV cache compared with the prior version, and each token entry occupies 890 bytes. Pricing is $0.15 per million input tokens and $0.6 per million output tokens, dropping to $0.003 per input token on cache hits. Search queries cost $0.75 per 1,000 queries, cheaper than Parallel’s $1. Artificial Analysis ranks DSF‑1017 #2 in the large open‑weight class with a score of 45, while Claude Opus 5.5 scores 58. The model answers correctly 43% of the time but hallucinates on 67% of non‑answers, earning 5 points on the benchmark’s main index.","keyPoints":["Hardware use drops to one‑quarter HBM and one‑eighth SSD; token entry size 890 bytes","Pricing: $0.15 input, $0.6 output per million tokens; $0.003 cache‑hit input cost"],"whyItMatters":"A cheap, efficient open‑weight model expands access to high‑capacity AI, but its hallucination rate limits use for fact‑critical tasks.","category":{"slug":"models","name":"Generative AI & Models","url":"https://digestai.news/category/models"},"entities":{"companies":["Deepseek","Parallel","Xiaomi"],"models":["GPT-5.6 Sol","Claude Opus 5","Claude Opus 5.5","Kimi K3","MiMo V2.6-Pro"],"people":["Bruno Ferreira"]},"firstPublishedAt":"2026-10-23T12:00:00Z","updatedAt":"2026-10-23T12:00:00Z","sourceCount":1,"hasPrimarySource":false,"sources":[{"outlet":"Tom's Hardware","title":"Deepseek's latest AI model is smarter than ever, but its low running costs come at a price","url":"https://tomshardware.com/tech-industry/artificial-intelligence/deepseeks-latest-ai-model-is-smarter-than-ever-but-its-low-running-costs-come-at-a-price-open-weight-model-is-fit-for-agentic-workloads-but-is-more-prone-to-hallucination-than-proprietary-competitors","publishedAt":"2026-10-23T12:00:00Z","type":"press","primary":false,"lead":true}],"sourceNotes":null,"discussions":[],"thread":{"title":"DeepSeek Unveils Flash Model And Open Source Tools","url":"https://digestai.news/thread/deepseek-open-sources-deepinfer-stack-potentially-lowering-inference-costs","storyCount":2},"cite":{"text":"Digest AI, \"Deepseek launches V4.1 Flash 1017 model with 1 M token context\", 23 October 2026, https://digestai.news/story/deepseek-launches-v4-1-flash-1017-model-with-1-m-token-context","publisher":"Digest AI","title":"Deepseek launches V4.1 Flash 1017 model with 1 M token context","datePublished":"2026-10-23T12:00:00Z","url":"https://digestai.news/story/deepseek-launches-v4-1-flash-1017-model-with-1-m-token-context"},"generatedBy":"Written by Digest AI's editorial model from the linked sources; the sources are the record.","license":"Headlines, digests and key points are written by Digest AI and may be quoted with a link to the story page. Linked articles belong to their publishers. Terms: https://digestai.news/terms#reuse"}