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Comparison

Cloudflare Clef vs Qwen3.8-Flash-Next

People have published 126 builds with Cloudflare Clef and 139 with Qwen3.8-Flash-Next, overlapping in 5 use cases. Cloudflare Clef has more education, agents, coding examples.

Cloudflare Clef

Clef (27B) and Clef-flash (9B) are Cloudflare-trained open-weight (Apache 2.0) multimodal decision models: given a state and typed questions they return bounded structured answers with probabilities in one forward pass, Jev/System One API compatible, hosted on Workers AI with a 64k context. Launched alongside a new RL fine-tuning platform.

126
Entries
118
Creators
GitHub, YouTube, Hacker News
Top source
Qwen3.8-Flash-Next

Open-weight 125B-parameter multimodal MoE (about 6B active, plus a 51B n-gram embedding table) from Alibaba's Qwen team, an early preview of the Qwen4 architecture. Its n-gram table can sit in system RAM or on SSD, which let community engines such as Strata run it on gaming PCs and Macs.

139
Entries
131
Creators
GitHub, Reddit, X
Top source

Same use case, side by side

Top builds with Cloudflare Clef

  1. 1
    Cloudflare Just Challenged Jev, So I Tested Their New Model (Clef)on YouTube:Better Stack· 64K views
  2. 2
    Say Hi to Clef. Better Open Source Jevon YouTube:CoderOne· 19.6K views
  3. 3
    Clef: Open-source decision models, and new RL fine-tuning platformon YouTube:Signal Coders· 17.3K views
  4. 4
    Cloudflare Clef: Free Open Source AI Decisions in 38mson YouTube:Prism Labs· 13.9K views
  5. 5
    Cloudflare Clef : The #1 Open Source Alternative to Jev Is Hereon YouTube:Codedigipt· 10K views

Top builds with Qwen3.8-Flash-Next

  1. 1
    Strata: one-click engine for running the 125B Flash-Next on a gaming PCon GitHub:Niko1221· 16.8K stars
  2. 2
    Flash-Next on a single DGX Spark (TP=1)on GitHub:MiaAI-Lab· 594 stars
  3. 3
    Halogen: fastest Flash-Next server for AMD Strix Haloon GitHub:peonist-ai· 876 stars
  4. 4
    GVS5H: five Qwen3.8 models matching a frontier model on LiveCodeBench Hardon GitHub:slee-persis· 736 stars
  5. 5
    From 15 tps on llama.cpp to 65 tps with a home-built engineon X:David Hendrickson· 1.6K likes