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Most-used on OpenRouter is a price signal, not proof of capability.在 OpenRouter 上用量第一,是价格信号,不是能力的证明。

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Bright warehouse illustration: a champion's rosette crowns a tall podium built from cheap cardboard cartons, warehouse pallets and discount price tags, with a banner on its front; a conveyor belt and a crowd of tiny silhouetted workers funnel a river of identical small parcels up to it, while a refined precision instrument sits ignored under glass on a quiet pedestal nearby. Headline: Most Used, Not Most Capable. Chinese line: 用量第一,不等于能力最强.
Bright warehouse illustration: a champion's rosette crowns a tall podium built from cheap cardboard cartons, warehouse pallets and discount price tags, with a banner on its front; a conveyor belt and a crowd of tiny silhouetted workers funnel a river of identical small parcels up to it, while a refined precision instrument sits ignored under glass on a quiet pedestal nearby.明亮的仓库插画:一座用廉价纸箱、货运托盘和打折价签堆成的高台顶着一枚冠军绶带,正面挂着 的横幅;传送带和一群小小的剪影工人把一条由相同小包裹汇成的河流源源不断地送上高台,旁边一台精致的精密仪器却被罩在玻璃下、无人问津。CC BY 4.0CC BY 4.0

As of October 27, DeepSeek routes about 46% of the tokens developers send through OpenRouter, more than OpenAI (~12%) and Google (~5%) combined, and the platform's top two models are both the cheap DeepSeek V4.1 Flash variant. The easy read is that DeepSeek is winning the model race. The ranking says something narrower.

Read the mechanism before the ranking. DeepSeek ships open weights, so dozens of hosts compete to serve it and the per-token price falls toward zero. A developer running high-volume, cost-sensitive work (bulk classification, cheap coding agents, synthetic data) routes to the cheapest model that clears the bar. A usage board measures exactly that: price times availability times how much grunt work a model is trusted with. It does not measure which model is best.

So 'DeepSeek passed OpenAI and Google' mostly means DeepSeek became the default cheap utility rather than the frontier. The more a model tops this board, the more it is being consumed as a low-margin commodity. Part of the lead is real quality; DeepSeek V4 is genuinely strong at code. You cannot read that off the volume.

Picking a model? Don't treat most-used as best. Run your own task, price the total cost, and read the leaderboard as a map of what is cheapest-adequate. We'd revise this if independent capability tests, not usage, showed DeepSeek's flagship leading OpenAI, Google and Anthropic outright over the next quarter.

截至 10 月 27 日,开发者通过 OpenRouter 发送的 token 里,约 46% 流向 DeepSeek,超过 OpenAI(约 12%)和 Google(约 5%)两家之和;平台排名前两位的,都是便宜的 DeepSeek V4.1 Flash 版本。顺手的读法是『DeepSeek 正在赢下模型竞赛』。但这个排名说的是更窄的一件事。

先看机制,再看排名。DeepSeek 是开放权重,于是几十家供应商争相托管它,单位 token 价格被压到接近零。一个要跑大批量、对成本敏感的活(批量分类、廉价的编程 agent、合成数据)的开发者,会把任务路由到能过关的最便宜的模型。用量榜衡量的正是这个:价格 × 可得性 × 一个模型被放心交给多少粗活。它衡量的不是哪个模型最强。

所以『DeepSeek 超过了 OpenAI 和 Google』,更多意味着 DeepSeek 成了默认的廉价工具,而不是前沿。一个模型越是霸占这个榜,就越是被当成低毛利的大宗商品在消耗。领先里有一部分是真实的质量:DeepSeek V4 在写代码上确实很强。但你没法从用量里读出这一点。

在挑模型吗?别把用量第一当成最好。用你自己的任务去测,算上总成本,把排行榜当成一张『什么最便宜又够用』的地图。如果在未来一个季度,独立的能力对测(而不是用量)显示 DeepSeek 的旗舰模型全面领先 OpenAI、Google 和 Anthropic,我们会修正这个判断。

Sources来源

  1. Source: openrouter.ai/rankings来源:openrouter.ai/rankingsopenrouter.ai ↗