{"product_id":"deepseek-the-open-model-that-changed-the-cost-curve-paperback","title":"DeepSeek: The Open Model That Changed the Cost Curve - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eKen Tannenbaum\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eThe model that broke the cost curve. The only book that explains it end-to-end.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eIn December 2024, a small Chinese AI lab released DeepSeek-V3 - a frontier-class language model trained for under $6 million when its Western competitors spent $50 million or more. A month later they released R1, a reasoning model that rivaled OpenAI's o1 at a fraction of the cost. By April 2026, DeepSeek-V4 Pro and Flash had taken the cost curve another order of magnitude lower while matching the quality of Claude Opus 4.7 and GPT-5.5 on real workloads.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eDeepSeek didn't just release a model. It changed what AI is supposed to cost.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eDeepSeek: Code, Math, and Reasoning\u003c\/strong\u003e is the comprehensive, up-to-date guide to everything DeepSeek - the chat app, the API, the models, the deployment options, and the strategic implications for teams already paying OpenAI or Anthropic.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat's inside: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eUnderstand the family\u003c\/strong\u003e. V4 Pro, V4 Flash, the R1 reasoning line, the distilled models (1.5B to 70B), Janus, Prover-V2, OCR - every model, what makes each architecturally distinct, and which one to use when.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUse the web app\u003c\/strong\u003e. chat.deepseek.com end-to-end: thinking mode, file uploads, code interpreter, web search. Plus the mobile apps and browser extensions.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBuild with the API\u003c\/strong\u003e. Authentication, model selection, prompt caching (the 80% cost saver), tool calling, JSON mode, FIM completion, streaming. Every API feature with working code.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMaster reasoning\u003c\/strong\u003e. When to use thinking mode, how to design agent workflows around it, and the patterns that make reasoning models cost-effective.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSelf-host if you need to\u003c\/strong\u003e. Ollama for laptops, vLLM for production, BentoML for multi-GPU deployments. The hardware reality and the deployment paths that work.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUse it for your world\u003c\/strong\u003e. Targeted chapters for developers, researchers, and cost-conscious teams - including DeepSeek-as-a-cost-layer strategies for orgs already on OpenAI or Claude.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eStay informed\u003c\/strong\u003e. Honest coverage of the China question, what DeepSeek censors, the geopolitical context, and how to evaluate whether DeepSeek fits your team's risk profile.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e60+ ready-to-use prompt templates\u003c\/strong\u003e organized by category - coding, reasoning, agents, structured output, and cost-optimized cache-friendly patterns.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eWhether you're a developer evaluating DeepSeek for the first time, a tech lead building a multi-model strategy, or a researcher running large-scale prompt experiments, this is the only book you need.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eIncludes coverage of V4 Pro and Flash, Compressed Sparse Attention, prompt caching strategies, tool calling, JSON mode, FIM, the Janus and OCR specialized models, and every 2026 release.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 340\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.71 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e May 05, 2026\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":54129199579443,"sku":"9798950533112","price":42.98,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0300\/5595\/6612\/files\/Yp9CbS_RUz9798950533112.webp?v=1790197105","url":"https:\/\/www.vysn.com\/en-ca\/products\/deepseek-the-open-model-that-changed-the-cost-curve-paperback","provider":"VYSN","version":"1.0","type":"link"}