Radar / AI models / Decision 3.0

Decision 3.0: open multimodal decision models (0.6B-27B)

vLLM Semantic Router team's new family of six Apache-2.0 decision models that answer typed choice/yes-no/score questions over text, images, and video with probabilities instead of generated prose.

new launchmodels · decisionJEV traction 0.48added 2026-10-15
Open Decision 3.0 →View on the radar

Why it matters

First open decision-model family that is multimodal out of the box (reads images and video zero-shot) and tops the Jev Decision Index boards; sub-second decisions on a single GPU make it a cheap, auditable gating layer for agentic pipelines.

What you could build with it

An indie developer building a customer-support triage bot could use Decision 3.0 as the routing layer: every incoming ticket with screenshots gets classified (billing vs bug vs how-to) and scored for urgency in one call, so the right specialist agent handles it without an LLM writing and parsing prose first.

Does it hold up?

Too early to judge: weights shipped Oct 10 with self-reported benchmarks only; no independent reproductions or production deployments are public yet. The Apache-2.0 license and one-line vllm-sr serve command make it easy to try.

Built with Decision 3.0

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technical deep dive →

First spotted on hf: source.

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