DeepSeek R1 is the landmark open reasoning model \u2014 a 671B mixture-of-experts activating
\n37B parameters per token, MIT-licensed, with a 128K context window. It delivered
\nfrontier-class chain-of-thought reasoning at a fraction of proprietary cost and is the model
\nthat made open reasoning weights a mainstream option rather than a research curiosity.<\/p>\n
Two things follow from the architecture. First, the API is genuinely cheap at $0.50 in \/
\n$2.15 out per million tokens, because only 37B of the 671B parameters are active on any given
\ntoken. Second, self-hosting is not cheap at all: the full weights need roughly 400 GB of VRAM
\neven at 4-bit quantisation, which means a multi-GPU server, not a workstation. The MIT
\nlicence gives you the right to run it, but the hardware bill is what decides whether you
\nwill. For most teams the correct reading is that R1 is an API model that happens to be
\nauditable and portable \u2014 you can move providers, inspect the weights, and never be locked in,
\nwithout personally operating an eight-GPU node. If you want R1-style reasoning on hardware
\nyou own, the 70B distill is the model to look at instead.<\/p>","protected":false},"excerpt":{"rendered":"
What is DeepSeek R1? DeepSeek R1 is the landmark open reasoning model \u2014 a 671B mixture-of-experts activating 37B parameters per […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"cm_developer":"DeepSeek","cm_model_type":"LLM (MoE, reasoning)","cm_modality":"Text \u2192 Text","cm_parameters":"671B total \/ 37B active (MoE)","cm_context_window":"128K","cm_max_output":"","cm_license":"MIT (open)","cm_open_weights":"yes","cm_release_date":"2025","cm_input_price":"0.50","cm_output_price":"2.15","cm_api_providers":"DeepSeek, DeepInfra, OpenRouter","cm_vram_fp16":"","cm_vram_q4":"~400 GB","cm_min_gpu":"Multi-GPU server","cm_benchmarks":"","cm_official_url":"https:\/\/huggingface.co\/deepseek-ai"},"class_list":["post-1251","ai_model","type-ai_model","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/ai_model\/1251","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/ai_model"}],"about":[{"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/types\/ai_model"}],"wp:attachment":[{"href":"https:\/\/convly.ai\/ar\/wp-json\/wp\/v2\/media?parent=1251"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}