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Cloudflare launches Clef-Flash, a 9B decision model for rapid classification

Cloudflare has released Clef-Flash, a 9 billion parameter decision model designed for speed and efficiency, built upon Qwen3.5-9B. Unlike traditional chat models, Clef-Flash processes input states and typed questions in a single forward pass, returning probabilities for predefined answers without generating free-form text. This makes it suitable for tasks like support ticket triage, where it can quickly classify urgency and ownership. Cloudflare also offers a larger, precision-tuned 27B parameter model named Clef, which includes vision capabilities for image classification. AI

IMPACT Introduces a new class of decision-focused models that could streamline AI applications by bypassing traditional text generation for classification tasks.

RANK_REASON Release of a new, specialized LLM by a major tech company, with details on its architecture and performance benchmarks. [lever_c_demoted from research: ic=1 ai=1.0]

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Cloudflare launches Clef-Flash, a 9B decision model for rapid classification

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4 / 100
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Release of a new, specialized LLM by a major tech company, with details on its architecture and performance benchmarks. [lever_c_demoted from research: ic=1 ai=1.0]
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model release, product
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Shouvik Palit ·

    Clef-Flash: the 9B model that decides instead of chats (I spotted it on DEV·TV)

    <p><a class="article-body-image-wrapper" href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Fmupululx0ec4mw7yi3ss.png"><img alt=" " height="702" …