You ask an assistant to sort 30 customer messages into three categories. Every reply comes back as a five-paragraph essay with the verdict buried in the last line. You copy conclusions into a spreadsheet by hand, re-checking each one.
That is not a prompting failure. The assistant is treating a judgment task like a writing task. A different class of model — decision models — exists for this: pick one option from a fixed list, attach a confidence score, write nothing else. TypeSafe Jev pioneered the category. On October 1, 2026, Cloudflare entered it with two open-source models, Clef and Clef-flash, on Workers AI, Jev-API compatible, Apache 2.0 on Hugging Face.
All figures below come from official pages verified October 5, 2026. I have not called either API.
Try the concept in any chat window
Take ten real judgment tasks. Window one: judge and explain. Window two: constrain it —
Categories: refund, exchange, inquiry.
Pick exactly one. Confidence 0-100.
No answers outside the list.
Window two output drops straight into a spreadsheet. That is the whole idea of a decision model: the model chooses; your code acts.
The bill
| Item | Jev 1.13 | Clef | Clef-flash |
|---|---|---|---|
| Median latency | 524.1 ms | 209.3 ms | 38.8 ms |
| p95 | 536.0 ms | 238.6 ms | 122.4 ms |
| $/M input tokens | $0.042 | $0.240 | $0.090 |
| Context | 64k per request (state + longest question 32k) | 64k | 64k |
| Image input | No | Yes | Yes |
| Open weights | No | Apache 2.0 | Apache 2.0 |
Three observations the marketing copy blurs.
2.5x-13.5x faster is two models against one. Clef regular is 2.5x; Clef-flash is 13.5x. Cite them separately.
Open is not cheap. On Workers AI, Clef costs 5.7x Jev per million input tokens; Clef-flash still costs 2.1x. The free daily 10,000 Neurons cover roughly 460k Clef input tokens, so light experiments cost nothing — sustained volume does not favor Clef. The Apache 2.0 license buys you the third option: self-host the weights, where the token meter disappears and the GPU bill begins. Backbones are Qwen3.8-27B (Clef) and Qwen3.5-9B (Clef-flash).
Small scale is noise. 100k messages x 500 input tokens: Jev about $2.10, Clef about $12.00, Clef-flash about $4.50.
On quality: Cloudflare blog reports Clef ahead on five public suites (BFCL 98.47 vs 95.75, API-Bank 91.93 vs 88.19, ToolRet 69.19 vs 65.28), but on TypeSafe own four workflows Clef wins only three of four. Every number is vendor-reported; no independent replication exists yet.
Three deployment tiers
-
Jev hosted:
POST /v1/systemone; managed limits (100K tokens/s, 80 req/s). -
Clef on Workers AI: one REST call with
stateandquestions; switch from Jev by configuration. - Clef self-hosted: Hugging Face weights; you own the GPU.
Skip for now
- Don't migrate a live pipeline before finishing the two-window exercise.
- Don't self-host 27B on a laptop; start with Clef-flash on a real GPU box.
- Don't treat vendor benchmarks as promises.
- Skip the RL fine-tuning product until you have volume.
Sources: Cloudflare blog, Workers AI pricing, TypeSafe models, HF: Cloudflare/clef.
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