在Jev模型轰动人工智能界两周后，Cloudflare发布了自己的两款“Clef”决策模型，称其不仅比Jev更聪明、更快，还采用开放权重，可在本地运行。Cloudflare于周四宣布了Clef决策模型系列，该系列包括两个模型：Clef和体积略小、速度更快的Clef-flash。就实际用途而言，它们的运作方式与TypeSafe的Jev基本相同，能够回答三类有边界且结构化的问题：是/否问题、多项选择题和排名问题。
Two weeks after the Jev model took the AI world by storm, Cloudflare has released its own pair of "Clef" decision models that it claims are smarter and faster than Jev, while also being open weight and runnable locally. The Clef family of decision models was announced by Cloudflare on Thursday, and consists of two models: Clef and Clef-flash, a slightly smaller and faster version of the model. For all intents and purposes, they work the same way as TypeSafe’s Jev, in that they can answer three types of bounded, structured questions: Yes/no, multiple choice, and rankings. It’s there that the bigger differences emerge, though, as Clef isn’t only built differently but, if Cloudflare’s benchmark claims hold up, also appears more capable than Jev and several other decision models in a number of tests. For starters, Clef has an LLM backbone.
不过，真正更大的差异在于，Clef不仅采用了不同的构建方式，而且如果Cloudflare的基准测试结果经得起验证，它在多项测试中的能力似乎也超过了Jev及其他几款决策模型。首先，Clef采用大语言模型作为主干。Cloudflare表示，Clef和Clef-flash分别使用经过专门后训练并冻结的Qwen3.8-27B和Qwen3.5-9B，推理时由Qwen主干执行仅预填充处理。
According to Cloudflare, Clef uses specially post-trained, frozen versions of Qwen3.8-27B and Qwen3.5-9B for Clef and Clef-flash, respectively, with the Qwen backbone performing a prefill-only pass during inference. Clef is still fast - faster than Jev, to be fair - and scores choices in parallel after that prefill-only pass. It’s not clear what Jev’s underlying architecture is, as TypeSafe has kept that a secret. As for its speed and capability, Clef moves fast. Cloudflare ran it against Jev and some other open decision models using the Jev Decision Index available on Hugging Face, and the company’s own ranking suggests Clef is slightly slower than other open models, but more accurate, with Clef-flash just as accurate as most of the others, but far faster.
Clef依然速度很快——公平地说，比Jev更快——并在完成仅预填充处理后并行对各个选项评分。TypeSafe一直对Jev的底层架构保密，因此其具体架构尚不清楚。就速度和性能而言，Clef表现出色。Cloudflare利用Hugging Face上提供的Jev决策指数，将Clef与Jev及其他一些开放决策模型进行了对比。公司自行发布的排名显示，Clef的速度略慢于其他开放模型，但准确度更高；Clef-flash的准确度与大多数其他模型相当，速度却快得多。
To be fair to the competition, Cloudflare self-reported its own scores against the benchmark, and they have yet to be reproduced for ranking on the official Decision Index. Cloudflare also ran Clef against TypeSafe’s own benchmarks, and claimed it beat Jev in three out of four areas, only losing out on agent trace observability. Even if it were a bit slower or less accurate, Clef has another major leg up on Jev: It’s not limited to classifying text - it can also handle images and video. Additionally, Clef supports a 64k context window. Jev can also handle up to 64k tokens across a request, although its state plus longest individual question is limited to 32k.
公平地说，这些基准测试成绩均由Cloudflare自行公布，尚未得到其他团队复现，也未被用于官方决策指数的排名。Cloudflare还使用TypeSafe自己的基准测试对Clef进行了评估，并声称Clef在四个领域中的三个领域胜过Jev，仅在智能体轨迹可观测性方面稍逊一筹。
Clef is available directly from Cloudflare hosted on Workers AI, which the company said makes the models even faster because “we’re able to take advantage of our GPUs at the edge, leading to low network latency and faster decisions.”For those that would prefer not to pay the token cost (Clef costs $0.24 per million tokens - nearly six times the price of Jev at $0.042/M), Clef can also be downloaded from Hugging Face, and is open weight under the same Apache-2.0 terms as Qwen.
即使速度稍慢或准确率稍低，Clef 相比 Jev 还有另一个显著优势：它并不局限于对文本进行分类，还可以处理图像和视频。此外，Clef 支持 64k 上下文窗口。Jev 每次请求最多也可处理 64k 个 token，不过其状态与最长单个问题的总长度限制为 32k。Clef 可直接由 Cloudflare 提供，并托管在 Workers AI 上；Cloudflare 表示，这会让模型运行得更快，因为“我们能够利用部署在边缘的 GPU
While described as “open source” in the announcement, Cloudflare AI Platform group product manager Michelle Chen confirmed to The that its training datasets aren’t public. As for whether your hardware can run it, Chen told us that Clef-flash will run on any GPU with at least 41 GB of VRAM, while Clef requires 85 GB of VRAM on a GPU for it to function. “This is assuming single concurrency and a 64k context window,” Chen added. Don’t worry about having to rebuild your decision model architecture for Clef either - its API is fully Jev compatible, allowing it to serve as a drop-in replacement if you want to give it a shot, either locally or using Cloudflare’s hosting option. ®