AINewsnow

Decision 3.0: open, multimodal decision models from 0.6B to 27B. Ranks #1 on both Jev Decision Index boards

With the vLLM Semantic Router team we released Decision 3.0 (d3) , our new SOTA decision model family ranging from 0.6B to 27B, Apache-2.0, all reading text, images and video. How it works - Built on Qwen3.5 (0.8B / 2B / 4B / 9B) and Qwen3.8-27B. The parameter counts include the vision encoder: 0.3…

Read the full story at r/LocalLLaMA ↗

Timeline · 1 report

  1. 2026-10-12 05:26 · r/LocalLLaMA
    Decision 3.0: open, multimodal decision models from 0.6B to 27B. Ranks #1 on both Jev Decision Index boards

More stories

  1. #1 vision decision model — r/huggingface
  2. A Practical Guide to OpenAI's New Decisions API — Towards Data Science
  3. I tested 14 "decision models" against local LLMs on 56 real triage tasks. Qwen3.5-9B beat every one of them. — r/LocalLLM
  4. [Research] Can a swarm of Jev catch a murderer? — r/LocalLLaMA
  5. Why people didn’t seem to care about jev with vision support! — r/AI_Agents
  6. Created laya : Now Introducing a new 800 Million Param physics-based typed decision model with 73k context and image support — r/LocalLLaMA
  7. [AINews] TypeSafe/Jev at >$100M ARR, $7.5B valuation 3 weeks after launch — Latent Space
  8. Jev vs LLM judges on my agent's evals: 180x cheaper, 2.6 points less accurate — r/AI_Agents

Get the daily brief of stories like this at 6:30 every morning →