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Meet Cloudflare Clef-omni: A 30B-A3B Multimodal Decision Model for Audio, Video, Image and Text

MarkTechPostby Asif Razzaq ()3 · 2 reads
AI summary · grok-4.7Summaries by Vani AI

Cloudflare released Clef-omni, a 30B-A3B Apache-2.0 model that scores text, image, audio, and video.

Cloudflare released Clef-omni, an Apache-2.0 multimodal decision model based on Qwen3-Omni-30B-A3B. The 30B mixture-of-experts model activates about 3B parameters and scores text, images, audio, and video in one call. Cloudflare lists Clef-omni at $0.15 per million input tokens and a cheaper Clef-flash variant at $0.038.

Key facts
  • Clef-omni is a 30B-parameter MoE model with about 3B active parameters.
  • Built on Qwen3-Omni-30B-A3B and released under Apache-2.0.
  • Scores text, images, audio, and video in a single API call.
  • Listed at $0.15 per million input tokens; Clef-flash is $0.038.
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From the original article

Cloudflare released Clef-omni, an Apache-2. 0 multimodal decision model built on Qwen3-Omni-30B-A3B. It scores text, images, audio and video in one call for $0.

MarkTechPost

By Asif Razzaq · marktechpost.com

Read the full article at MarkTechPost

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.