Meet Cloudflare Clef-omni: A 30B-A3B Multimodal Decision Model for Audio, Video, Image and Text
Cloudflare's Clef-omni: multimodal scoring for $0.15/MTok—half the price of comparable inference.
Why it matters
Cloudflare shipped a production multimodal model (text, image, audio, video in one call) with transparent pricing and Apache-2.0 weights. Practitioners building decision workflows or content moderation can now benchmark against a named baseline; the price point matters for high-volume scoring workloads.
The key facts
13 to knowCloudflare Clef-omni: 30B-A3B multimodal model based on Qwen3-Omni
Supports text, image, audio, video in single call
Pricing: $0.15 per million input tokens (Clef-omni); $0.038 per million input tokens (Clef-flash)
License: Apache-2.0 open weights
Inference platform: Cloudflare Workers AI
No benchmarks, capability claims, or competitive test results provided in announcement
Cloudflare Clef-omni: 30B-A3B multimodal decision model
Input modalities: text, images, audio, video in one API call
Pricing: $0.15/M tokens (Clef-omni); $0.038/M (Clef-flash)
License: Apache 2.0
Based on Qwen3-Omni-30B-A3B
No benchmark or capability claims disclosed
No deployment outcomes cited
The story so far
Earlier coverage of this storyline
- Google expands EmbeddingGemma beyond text to images, audio and videoSiliconAngle
- This story
Go to the source
MarkTechPostmarktechpost.com
Publisher excerpt: 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 $0.15 per million input tokens, while Clef-flash drops to $0.038.