Clef is available on Ollama's cloud
Clef is available on Ollama's cloud
Cloudflare's 27B multimodal decision model Clef has landed on the Ollama cloud platform, users can run it locally or use cloud services. Clef transforms state and typed question patterns into decisions, supports text and image input, is compatible with Jev and System One APIs, is fine-tuned based on Qwen3.8-27B, and adopts the Apache 2.0 license. In Cloudflare's decision index evaluation, Clef outperforms Jev and performs leading in most benchmark tests.
October 19, 2026
Clef, a 27B multimodal decision model from Cloudflare, is now available on Ollama. Users can run it locally or on Ollama’s cloud. Clef turns a state and a schema of typed questions into decisions. It supports text and image input and is compatible with the Jev and System One APIs.
Clef is fine-tuned from Qwen3.8-27B and released under the Apache 2.0 license.
Highlights
- Multimodal: Make decisions over text, JSON, or images, including screenshots, receipts, forms, and photos.
- One pass: Clef reads the input once and scores every answer to every question at the same time, instead of writing a response word by word.
- Leading accuracy: Clef tops Cloudflare’s Decision Index and beats Jev on most of its benchmark suite.
What you can build
Clef supports the following use cases:
- Route a request: Define destinations and when each applies. Clef returns the chosen destination and each destination’s probability.
- Check a condition: Define a yes-or-no question and the evidence. Clef returns true or false and the probability of each.
- Apply a policy: Define rules and allowed outcomes to receive a typed decision based on supplied text or images.
- Read a document: Supply a photo of a page and the fields to evaluate for field-by-field decisions with probabilities.
- Tool-call moderation: Check an agent’s tool call before it runs.
Benchmarks
Results from Cloudflare’s announcement, scored on evaluations from the Jev Decision Index:
| Benchmark | Clef | Clef-flash | Jev | DiffusionGemma Jev | Kev 9B | Laya |
|---|---|---|---|---|---|---|
| BFCL · case exact | 98.47 | 98.76 | 95.75 | 96.52 | 94.51 | 38.13 |
| ToolRet · nDCG@10 | 69.19 | 66.43 | 65.28 | 61.21 | 64.26 | 12.69 |
| API-Bank · accuracy | 91.93 | 93.11 | 88.19 | 83.66 | 56.30 | 11.41 |
| Home appliances · case exact | 82.95 | 97.73 | 52.27 | 42.05 | 25.00 | 0.00 |
| When2Call · accuracy | 72.37 | 65.58 | 80.97 | 75.44 | 49.62 | 11.94 |
| BANKING77 · macro-F1 | 94.20 | 90.93 | 79.74 | 74.28 | 84.83 | 14.29 |
| CLINC150+OOS · macro-F1 | 97.43 | 66.77 | 89.27 | 83.49 | 79.03 | 3.19 |
| BRIGHT · nDCG@10 | 45.91 | 39.26 | 47.52 | 42.94 | 38.53 | 19.90 |
| Amazon ESCI · macro-F1 | 57.48 | 57.39 | 55.21 | 53.37 | 49.22 | 24.40 |
| PhishNChips · accuracy | 79.60 | 75.05 | 62.55 | 85.35 | 50.75 | 50.15 |
On Typesafe’s own workflow evals, Clef beats Jev in 3 of 4 areas:
| Workflow | Clef | Clef-flash | Jev |
|---|---|---|---|
| Invoice processing | 64.7 | 57.1 | 61.8 |
| Customer service | 76.3 | 77.0 | 76.0 |
| Security incidents | 62.9 | 61.7 | 61.7 |
| Agent trace observability | 68.5 | 69.8 | 71.6 |
Latency across 43 eval benchmarks, in milliseconds:
| Latency | Clef | Clef-flash | Jev | DiffusionGemma Jev | Kev 9B | Laya |
|---|---|---|---|---|---|---|
| Median | 209.3 | 38.8 | 524.1 | 84.4 | 51.4 | 5.8 |
| p95 | 238.6 | 122.4 | 536.0 | 211.2 | 187.9 | 222.5 |
For more information, see:
Source: Ollama Blog · ollama.com