【2026年9月9日，深夜刷屏预警】就在今晚——不，准确说是明天（2026年9月10日）中午12点整，一场悄悄酝酿已久的AI售价地震，即将在国产大模型圈炸开一道耀眼的裂痕！
没错，主角就是最近被全网开发者疯狂追问的「DeepSeek Flash系列」——那个号称‘推理快如闪电、成本低到离谱’的轻量级AI双子星。而这一次，它不玩虚的，直接甩出一张真金白银的售价表：输入缓存命中价，从0.05元/百万Token干到0.02元；输出价虽稳如老狗，但仍旧砍掉11%；最狠的是缓存未命中输入价，直接从1.5元腰斩至1元——这哪是降价？这是给开发者发红包啊！
💡先划重点：这不是测试，不是限时优惠，不是小范围灰度——这是DeepSeek开放平台官宣的全量、正式、永久性调价。时间卡得比高铁准点率还严：2026年9月10日12:00起，全球所有接入Flash系列API的开发者，账单自动切换新标准。
🔍那么难题来了：为什么是现在？为什么是Flash？又为什么敢这么降？
——别急，咱们一层层剥开这个‘AI界拼多多’的定价逻辑。
✨【背景补刀：2026年，大模型已进入‘精耕时代’】 2026年，距离GPT-4发布已过去整整六年，AI战场早已告别‘堆卡大战’和‘参数内卷’，转向更残酷也更务实的维度：谁能把推理成本压到极致，谁就能拿下中小厂、SaaS工具、教育App、本地化Agent这些万亿级长尾市面。据IDC最新《中国AI基础设施白皮书（2026H1）》表明，超67%的中小企业AI项目因‘单次调用成本过高’而中途搁浅——不是不想用，是真用不起！
而DeepSeek Flash系列，正是为这群‘被高价模型劝退’的开发者量身定制的‘平价高配引擎’。当下该系列仅含两款主力模型： ✅ deepseek-v4-flash —— 纯文本推理王者，专注速度与性价比； ✅ deepseek-v4-flash-vision-exp —— 视觉增强版，兼容图文混合理解+多模态缓存复用，堪称‘轻量级GPT-4V平替’。
⚠️注意：两款模型同步降价、同档降幅、同套计费逻辑——DeepSeek这次没搞‘差异化歧视’，而是实打实把普惠开展到底。
📊来，看这张被IT之家扒出来的‘售价比较暴击表’（笔者已做人性化重排版，拒绝表格眩晕症）：
｜项目｜原价（空闲时段）｜新价（空闲时段）｜降幅｜ ｜---｜---｜---｜---｜ ｜输入（缓存命中）｜0.05元／百万Token｜0.02元｜⬇️ 60%｜ ｜输入（缓存未命中）｜1.50元／百万Token｜1.00元｜⬇️ 33.3%｜ ｜输出｜4.50元／百万Token｜4.00元｜⬇️ **11.1%**｜
高峰时段？直接×2——但别慌，因为基础价已经够香：缓存命中输入只要0.04元，输出才8元。什么概念？相当于你用一顿外卖钱（35元），就能跑完近900万Token的高质量文本生成+解析任务——写完一篇行业分析报告、跑完一轮客服对话质检、甚至训练一个小型垂类RAG知识库，都绰绰有余。
🎯【深度拆解：这波降价，不是让利，是重构】 很多读者会问：DeepSeek图啥？烧钱换口碑？ 错。这是一场精准的‘工艺杠杆撬动商业飞轮’： 🔹第一杠杆：缓存命中价狂降60%→ 鼓励开发者优化Prompt工程、建设本地缓存层、拥抱状态化会话——本质上是在帮生态‘养成好习惯’； 🔹第二杠杆：未命中价仍保留1元底线→ 不鼓励懒加载、乱调用，倒逼API使用更理性； 🔹第三杠杆：视觉版与文本版同价同降→ 打破‘多模态=贵’的刻板印象，加速图文AI在电商、教育、政务OCR等情形落地。
举个真实情形🌰：某杭州在线教育公司，每天用deepseek-v4-flash-vision-exp处理3万张学生手写作答图片（识别+批改+生成评语）。过去月成本约4.2万元；调价后——直接省下1.3万元/月，一年就是15.6万。这笔钱，够他们多招一位AI机型经理，或把批改响应速度从3秒压到800毫秒。
🌍再放大看：这不是一次孤立调价，而是2026年中国AI产业‘去泡沫化’进程的关键落子。当头部厂商还在比谁的MoE层数多、谁的上下文窗口长到能塞进《红楼梦》全文时，DeepSeek挑选把显卡算力‘翻译’成真金白银的开发者收益——这种克制，反而更显锋芒。
💬业内已有声音调侃：‘以前是‘用得起GPT，养不起Flash’；现在嘛……Flash正在教GPT什么叫‘接地气’。’
📌最后送上三句硬核提醒（请截图保存）： ① 新价生效时间：2026年9月10日12:00（北京时间），不是UTC，不是服务器时区，就是你手机右上角那个时间； ② 所有历史账单按旧价结算，新调用全部走新标准——平台自动无缝切换，无需手动操作； ③ 当下DeepSeek Flash系列仍不开放权重下载，纯API服务，但售价已逼近开源模型微调成本——这意味着：自建小模型的ROI临界点，正在剧烈右移。
📣结语：当AI不再是一道昂贵的‘入场券’，而成为像水电一样的基础设施，真正的智能爆发，才刚刚开始。而这一次，DeepSeek Flash系列AI模型降价，不只是数字游戏，它是一封写给中国千万开发者的邀请函：来吧，别再观望，你的第一个AI机型，就从0.02元起步。
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On September 9, 2026, at 11:20 p.m., prepare to be bombarded with notifications. At exactly 12:00 p.m. tomorrow (September 10, 2026), a long-brewing seismic shift in AI pricing is about to shatter the silence in the domestic large model market.
The star of the show is none other than the "DeepSeek Flash series," which has been the target of intense scrutiny by developers for its claims of lightning-fast inference and ridiculously low cost. This time, it's not bluffing; it's dropping a bombshell in the form of a price list. The cost per million tokens for cache hits has plummeted from 0.05 yuan to 0.02 yuan. While the output price shows a more modest reduction of 11%, the real shocker is the input price for cache misses, which has been halved from 1.50 yuan to 1.00 yuan. This isn't a price cut; it's a gift to developers.
Let's clarify: This isn't a beta test, a time-limited promotion, or a small-scale adjustment. This is a full, official, permanent repricing announced by the DeepSeek Open Platform. And the timing is precise. From 12:00 p.m. on September 10, 2026, every developer connected to the Flash series API will see the new prices reflected in their bills.
So, why now? Why the Flash series? And why this level of aggression?
Don't worry, we'll dissect this "Pinduoduo of the AI world" pricing strategy layer by layer.
By 2026, the AI landscape has moved past the phase of "stacking GPUs" and "parameter arms races." The focus has shifted to a more practical and brutal metric: who can drive down inference costs to the bone. This accessibility is what will capture the untapped markets of small and medium-sized enterprises, SaaS tools, educational apps, and localized agents. According to IDC's recent report, over 67% of small and medium business AI projects fail because the cost per call is simply too high.
The DeepSeek Flash series was specifically engineered to cater to these underserved developers. The lineup currently consists of two models:** deepseek-v4-flash**, a pure-text inference powerhouse, and **deepseek-v4-flash-vision-exp**, which adds visual recognition capabilities without sacrificing speed or cost. Crucially, both models will benefit from the same uniform price reduction, treating text and vision users equally.
Let's break down the specific numbers with a "shock comparison table" that's been making rounds on the internet: | Project | Original Price (Off-peak) | New Price (Off-peak) | Reduction | | --- | --- | --- | --- | | Input (Cache Hit) | 0.05 yuan/million Tokens | 0.02 yuan | ⬇️ 60% | | Input (Cache Miss) | 1.50 yuan/million Tokens | 1.00 yuan | ⬇️ 33.3% | | Output | 4.50 yuan/million Tokens | 4.00 yuan | ⬇️ 11.1% | The peak time prices double the base rate, but even then, the cost per token remains highly competitive (e.g., input at 0.04 yuan and output at 8 yuan). This means that with the budget of a single fast-food meal (~35 yuan), a developer can now process nearly 9 million tokens.
This price drop isn't a simple act of charity. It's a strategic maneuver to reshape developer behavior. * **First Lever:** The massive 60% cut in cache hit prices incentivizes developers to optimize their prompt engineering and build effective local caching layers. It rewards the efficient use of the model. * **Second Lever:** Keeping the cache miss price at 1 yuan (still high, but reduced) discourages lazy, unoptimized calling patterns while offering a buffer for necessary first-time queries. * **Third Lever:** The inclusion of the vision-exp model in this sweep helps democratize multimodality, pushing the technology from niche status into mainstream, cost-sensitive applications like e-commerce image analysis and education.
To put this into perspective, consider an online education company in Hangzhou that processes 30,000 student answer images daily. Previously, this cost the company approximately 42,000 yuan per month. After the adjustment, this cost will drop to just over 21,000 yuan, saving the company enough money to hire additional staff or improve their hardware.
This move by DeepSeek represents the beginning of a "de-bubbling" process in the Chinese AI industry for 2026. While other companies compete over esoteric metrics like context window sizes, DeepSeek is focusing on the bottom line: making high-quality inference affordable.
In conclusion, this price drop is not just a number. It is an open invitation to the Chinese developer community. The era of "too expensive to use" is ending. With the new base price starting at 0.02 yuan, your first AI project is now within reach.
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Here's a real-life example: A Hangzhou-based online education company uses deepseek-v4-flash-vision-exp to process 30,000 student handwriting images daily (for recognition, grading, and generating feedback). Their monthly cost was about 42,000 yuan; after the price cut — they save 13,000 yuan per month, or 156,000 yuan annually. This savings could fund an additional AI model manager or reduce response time from 3 to 0.8 seconds.
The bigger picture: This isn't just a price drop — it's a key move in China's 2026 AI "de-bubbling" process. While top players compete for more MoE layers or longer context windows, DeepSeek prioritizes turning GPU power into real developer value. This restraint shows sharper vision.
Industry joke: "Before, we could afford GPT but not Flash; now, Flash is teaching GPT what 'down-to-earth' means."
Important notes: - New price effective September 10, 2026, 12:00 Beijing time. - All past invoices at old prices; new calls use new standard — auto-switch by platform. - Flash models still API-only, no weight download — but cost near open-source fine-tuning level, shifting ROI thresholds significantly.
In summary: When AI stops being expensive and becomes like utilities (power, water), true intelligence explosion begins. DeepSeek Flash's drop isn't a gimmick — it's an invitation to millions of Chinese developers: Start your first AI model now, from just 0.02 yuan.
Source: https://www.sohu.com/a/1073606108_122066679 (Contact: 13951431913@139.com for copyright issues)