[{"data":1,"prerenderedAt":550},["ShallowReactive",2],{"header-counts":3,"footer-counts":6,"model-deepseek-v4":9},{"tools":4,"reviews":5},78,26,{"tools":4,"reviews":5,"playbooks":7,"news":8},22,21,{"id":10,"title":11,"apiCompatible":12,"benchmarks":15,"body":25,"category":514,"contextWindow":515,"cover":516,"description":517,"extension":518,"lastVerified":516,"maxOutput":519,"meta":520,"navigation":237,"path":521,"pricing":522,"published":523,"relatedTools":524,"releaseDate":527,"seo":528,"slug":529,"stem":530,"strengths":531,"updated":523,"useCases":537,"vendor":542,"vendorEn":543,"weaknesses":544,"__hash__":549},"models\u002Fmodels\u002Fdeepseek-v4.md","DeepSeek V4（V4-Pro \u002F V4-Flash）",[13,14],"openai","deepseek",[16,19,22],{"name":17,"score":18},"V4-Pro 参数","1.6T",{"name":20,"score":21},"V4-Pro 混合价","约 $0.18\u002FM",{"name":23,"score":24},"上下文","1M",{"type":26,"value":27,"toc":500},"minimark",[28,32,53,56,59,63,66,137,140,143,157,160,163,167,322,325,328,331,400,412,415,438,442,448,454,460,463,496],[29,30,31],"h2",{"id":31},"概述",[33,34,35,36,40,41,44,45,48,49,52],"p",{},"DeepSeek V4（代号「DSpark」）是深度求索于 2026 年 6 月 27 日发布的新一代模型，分 ",[37,38,39],"strong",{},"V4-Pro"," 与 ",[37,42,43],{},"V4-Flash"," 两档。V4-Pro 为 ",[37,46,47],{},"1.6T 参数、1M 上下文","，具备 reasoning 能力;V4-Flash 主打",[37,50,51],{},"超低价、高吞吐","（$0.14\u002F$0.28），定位高并发、低延迟的在线服务场景。",[33,54,55],{},"如果说 2026 上半年前沿模型的主题是「跑分内卷」，DeepSeek V4 把叙事拉回了成本——它再次扮演了「价格锚」的角色。",[29,57,58],{"id":58},"核心能力",[60,61,62],"h3",{"id":62},"击穿行业底价",[33,64,65],{},"V4-Flash 的 $0.14\u002F$0.28 定价，让大规模 Agent 任务、批量数据处理、在线客服等高频调用场景的账单再降一个数量级。",[67,68,69,87],"table",{},[70,71,72],"thead",{},[73,74,75,79,82,85],"tr",{},[76,77,78],"th",{},"档位",[76,80,81],{},"Input",[76,83,84],{},"Output",[76,86,23],{},[88,89,90,105,123],"tbody",{},[73,91,92,97,100,103],{},[93,94,95],"td",{},[37,96,39],{},[93,98,99],{},"~$1.74\u002FM",[93,101,102],{},"~$3.48\u002FM",[93,104,24],{},[73,106,107,111,116,121],{},[93,108,109],{},[37,110,43],{},[93,112,113],{},[37,114,115],{},"$0.14\u002FM",[93,117,118],{},[37,119,120],{},"$0.28\u002FM",[93,122,24],{},[73,124,125,128,131,134],{},[93,126,127],{},"对比 GPT-5.6 Sol",[93,129,130],{},"$5\u002FM",[93,132,133],{},"$30\u002FM",[93,135,136],{},"1.1M",[33,138,139],{},"V4-Pro 混合价约 $0.18\u002FM，是业界最低档之一。",[60,141,142],{"id":142},"双档覆盖",[144,145,146,152],"ul",{},[147,148,149,151],"li",{},[37,150,39],{},":1.6T 参数，提供 reasoning 能力，适合需要深度推理但预算敏感的复杂任务",[147,153,154,156],{},[37,155,43],{},":超低价高吞吐，适合客服、检索增强、内容审核等对单价极度敏感的高频场景",[60,158,159],{"id":159},"国内直供",[33,161,162],{},"作为国产模型，DeepSeek V4 官方 API 国内直供，无需海外账号或中转，配合国产工具链是当下性价比最高的组合之一。",[29,164,166],{"id":165},"api-调用示例","API 调用示例",[168,169,174],"pre",{"className":170,"code":171,"language":172,"meta":173,"style":173},"language-python shiki shiki-themes github-light github-dark","from openai import OpenAI\nclient = OpenAI(api_key=\"sk-...\", base_url=\"https:\u002F\u002Fapi.deepseek.com\u002Fv1\")\n\nresp = client.chat.completions.create(\n    model=\"deepseek-v4-flash\",   # 或 deepseek-v4-pro\n    messages=[{\"role\": \"user\", \"content\": \"批量提取这些文本的关键词\"}],\n)\nprint(resp.choices[0].message.content)\n","python","",[175,176,177,196,232,239,250,268,301,306],"code",{"__ignoreMap":173},[178,179,182,186,190,193],"span",{"class":180,"line":181},"line",1,[178,183,185],{"class":184},"szBVR","from",[178,187,189],{"class":188},"sVt8B"," openai ",[178,191,192],{"class":184},"import",[178,194,195],{"class":188}," OpenAI\n",[178,197,199,202,205,208,212,214,218,221,224,226,229],{"class":180,"line":198},2,[178,200,201],{"class":188},"client ",[178,203,204],{"class":184},"=",[178,206,207],{"class":188}," OpenAI(",[178,209,211],{"class":210},"s4XuR","api_key",[178,213,204],{"class":184},[178,215,217],{"class":216},"sZZnC","\"sk-...\"",[178,219,220],{"class":188},", ",[178,222,223],{"class":210},"base_url",[178,225,204],{"class":184},[178,227,228],{"class":216},"\"https:\u002F\u002Fapi.deepseek.com\u002Fv1\"",[178,230,231],{"class":188},")\n",[178,233,235],{"class":180,"line":234},3,[178,236,238],{"emptyLinePlaceholder":237},true,"\n",[178,240,242,245,247],{"class":180,"line":241},4,[178,243,244],{"class":188},"resp ",[178,246,204],{"class":184},[178,248,249],{"class":188}," client.chat.completions.create(\n",[178,251,253,256,258,261,264],{"class":180,"line":252},5,[178,254,255],{"class":210},"    model",[178,257,204],{"class":184},[178,259,260],{"class":216},"\"deepseek-v4-flash\"",[178,262,263],{"class":188},",   ",[178,265,267],{"class":266},"sJ8bj","# 或 deepseek-v4-pro\n",[178,269,271,274,276,279,282,285,288,290,293,295,298],{"class":180,"line":270},6,[178,272,273],{"class":210},"    messages",[178,275,204],{"class":184},[178,277,278],{"class":188},"[{",[178,280,281],{"class":216},"\"role\"",[178,283,284],{"class":188},": ",[178,286,287],{"class":216},"\"user\"",[178,289,220],{"class":188},[178,291,292],{"class":216},"\"content\"",[178,294,284],{"class":188},[178,296,297],{"class":216},"\"批量提取这些文本的关键词\"",[178,299,300],{"class":188},"}],\n",[178,302,304],{"class":180,"line":303},7,[178,305,231],{"class":188},[178,307,309,313,316,319],{"class":180,"line":308},8,[178,310,312],{"class":311},"sj4cs","print",[178,314,315],{"class":188},"(resp.choices[",[178,317,318],{"class":311},"0",[178,320,321],{"class":188},"].message.content)\n",[29,323,324],{"id":324},"定价",[33,326,327],{},"见上文双档表格。V4-Flash 的定价几乎重新定义了「便宜」，让此前因成本无法落地的高频 AI 场景变得可行。",[29,329,330],{"id":330},"与同档模型怎么选",[67,332,333,349],{},[70,334,335],{},[73,336,337,340,343,346],{},[76,338,339],{},"维度",[76,341,342],{},"DeepSeek V4-Flash",[76,344,345],{},"Gemini 3.5 Flash",[76,347,348],{},"Grok 4.5",[88,350,351,364,377,388],{},[73,352,353,355,358,361],{},[93,354,81],{},[93,356,357],{},"$0.14",[93,359,360],{},"$1.50",[93,362,363],{},"$2",[73,365,366,368,371,374],{},[93,367,84],{},[93,369,370],{},"$0.28",[93,372,373],{},"$9",[93,375,376],{},"$6",[73,378,379,381,383,385],{},[93,380,23],{},[93,382,24],{},[93,384,24],{},[93,386,387],{},"500K",[73,389,390,392,395,398],{},[93,391,159],{},[93,393,394],{},"✅",[93,396,397],{},"❌",[93,399,397],{},[33,401,402,405,406,411],{},[37,403,404],{},"建议",":高并发、成本敏感的在线业务首选 V4-Flash;需要深度推理的复杂任务用 V4-Pro;要更强绝对能力选 ",[407,408,410],"a",{"href":409},"\u002Fmodels\u002Fkimi-k3.html","Kimi K3"," 或闭源前沿模型。",[29,413,414],{"id":414},"避坑清单",[144,416,417,423,432],{},[147,418,419,422],{},[37,420,421],{},"Flash 有能力边界",":超低价对应的是「够用」而非「最强」,复杂推理任务用 Pro 或旗舰模型。",[147,424,425,428,431],{},[37,426,427],{},"算总账",[429,430],"v4",{}," 的优势在高频、大批量场景,单次简单调用差异不明显。",[147,433,434,437],{},[37,435,436],{},"多模态弱",":纯文本\u002F代码任务是它的主场,多模态需求另选。",[29,439,441],{"id":440},"faq","FAQ",[33,443,444,447],{},[37,445,446],{},"Q: V4-Pro 和 V4-Flash 怎么选?","\nA: 看任务类型。高频、大批量、成本敏感（客服、检索、审核）选 Flash;需要深度推理的复杂任务（代码分析、多步逻辑）选 Pro。多数在线业务用 Flash 主力 + Pro 兜底难任务即可。",[33,449,450,453],{},[37,451,452],{},"Q: V4 适合做 AI 编程主力吗?","\nA: 适合成本敏感的团队做日常编码和 MVP。绝对能力不如 Sol\u002FOpus\u002FSonnet 5,但性价比无出其右。对能力要求极高的复杂 Agent 任务，建议用闭源前沿模型。",[33,455,456,459],{},[37,457,458],{},"Q: 国内怎么用?","\nA: DeepSeek 官方 API 国内直供，注册即用，无需中转。",[29,461,462],{"id":462},"延伸阅读",[144,464,465,478,489],{},[147,466,467,468,470,471,470,474],{},"对比同档:",[407,469,410],{"href":409}," \u002F ",[407,472,348],{"href":473},"\u002Fmodels\u002Fgrok-4-5.html",[407,475,477],{"href":476},"\u002Fmodels\u002Fglm-5.2.html","GLM-5.2",[147,479,480,481,470,485],{},"相关模型:",[407,482,484],{"href":483},"\u002Fmodels\u002Fdeepseek-v3.html","DeepSeek V3",[407,486,488],{"href":487},"\u002Fmodels\u002Fdeepseek-r1.html","DeepSeek R1",[147,490,491,492],{},"相关资讯:",[407,493,495],{"href":494},"\u002Fnews\u002F2026\u002Fdeepseek-v4-release.html","DeepSeek V4 发布",[497,498,499],"style",{},"html pre.shiki code .szBVR, html code.shiki .szBVR{--shiki-default:#D73A49;--shiki-dark:#F97583}html pre.shiki code .sVt8B, html code.shiki .sVt8B{--shiki-default:#24292E;--shiki-dark:#E1E4E8}html pre.shiki code .s4XuR, html code.shiki .s4XuR{--shiki-default:#E36209;--shiki-dark:#FFAB70}html pre.shiki code .sZZnC, html code.shiki .sZZnC{--shiki-default:#032F62;--shiki-dark:#9ECBFF}html pre.shiki code .sJ8bj, html code.shiki .sJ8bj{--shiki-default:#6A737D;--shiki-dark:#6A737D}html pre.shiki code .sj4cs, html code.shiki .sj4cs{--shiki-default:#005CC5;--shiki-dark:#79B8FF}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":173,"searchDepth":234,"depth":234,"links":501},[502,503,508,509,510,511,512,513],{"id":31,"depth":198,"text":31},{"id":58,"depth":198,"text":58,"children":504},[505,506,507],{"id":62,"depth":234,"text":62},{"id":142,"depth":234,"text":142},{"id":159,"depth":234,"text":159},{"id":165,"depth":198,"text":166},{"id":324,"depth":198,"text":324},{"id":330,"depth":198,"text":330},{"id":414,"depth":198,"text":414},{"id":440,"depth":198,"text":441},{"id":462,"depth":198,"text":462},"coding",1000000,null,"DeepSeek 2026 年 6 月 27 日发布的 V4（代号 DSpark），分 Pro\u002FFlash 两档。Pro 1.6T 参数 1M 上下文；Flash 主打超低价高吞吐（$0.14\u002F$0.28）。","md",64000,{},"\u002Fmodels\u002Fdeepseek-v4","V4-Pro ~$1.74\u002F$3.48 · V4-Flash $0.14\u002F$0.28","2026-07-20",[525,526],"coding\u002Fapi\u002Fopenrouter","coding\u002Fide\u002Fcursor","2026-06-27",{"title":11,"description":517},"deepseek-v4","models\u002Fdeepseek-v4",[532,533,534,535,536],"V4-Flash $0.14\u002F$0.28，业界最低价档之一","1M 上下文，Pro\u002FFlash 双档覆盖深度推理与高吞吐","V4-Pro 1.6T 参数，混合价约 $0.18\u002FM","高并发低延迟，适合大规模在线业务","国内官方直供，无需中转",[538,539,540,541],"高并发在线业务（客服\u002F检索\u002F审核）","批量数据处理与内容生成","成本受限团队的 MVP 开发","需深度推理但预算敏感的任务（Pro 档）","深度求索","DeepSeek",[545,546,547,548],"绝对能力天花板略低于顶级闭源前沿模型","生态与工具集成不如 OpenAI\u002FAnthropic 丰富","多模态能力有限","旗舰级复杂 Agent 任务不如 Sol\u002FOpus","Nq0HiI4yMdUeTmJztf61ScUrWmzC6KnyY4OjW8AGTzw",1784565434196]