Cloudflare Clef-omni: A 30B-A3B Multimodal Decision Model for Audio, Video, Image, and Text
Cloudflare has released Clef-omni, a new open-weight member of its Clef decision model family. Clef-omni is a Cloudflare decision model that scores text, images, audio, and video in a single call. It arrived on October 9, 2026, just eight days after the original Clef and Clef-flash launch. The same update cut Clef-flash pricing below TypeSafe's Jev and made hosted Clef roughly twice as fast. For developers, this removes the transcription and captioning steps that multimodal agent pipelines usually require.
TL;DR
- Size: 30B total parameters, 3B active (Mixture-of-Experts); 64,000-token context on Workers AI
- Runs on: Workers AI as
@cf/cloudflare/clef-omni; self-hosting tested on a single H200, using about 64 GB of GPU memory in bfloat16 - Performance: Close to Clef on routing and intent tasks, behind it on most reasoning and workflow evals
- Best result: 97.7 macro-F1 on CLINC150+OOS, top among the four Clef and Jev models
- Worst result: 2.6 accuracy on POP909-CL, and 47.4 on G...
via MarkTechPost