# What's the difference between Jev and AWS's Strands Decider?

The difference is openness and scale. Jev is TypeSafe's own hosted model, closed-weight, priced per token. Strands Decider 2B, which AWS released in October 2026, is fully open source and built on Qwen3.5-2B, small enough to run locally instead of calling an API. Both are System One models: given a state and a set of possible answers, each returns a typed choice with a confidence score instead of generated text.

The reasoning behind both is the same: an agent's next step is often a closed-domain decision, not an open-ended generation, and a model sized and trained for that decision is cheaper and more reliable than asking a full LLM to decide. Amazon distinguished engineer Marc Brooker, who built Strands Decider, says the hard part is pushing accuracy and calibration higher without losing the general-purpose language understanding that keeps the model useful across different requests.

Both pitch a cheaper, faster decision than calling a full LLM for it, [the same tradeoff a classifier makes against an LLM judge](/answers/eval-costs/why-does-a-classifier-cost-less-to-run-than-an-llm-judge). That tradeoff only pays off if the cheaper model is also accurate enough to trust, which neither vendor's benchmark numbers can settle for you.

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Sources:
- TechCrunch: "Amazon releases its own Jev clone as decision models flood the web": https://techcrunch.com/2026/10/01/amazon-releases-its-own-jev-clone-as-decision-models-flood-the-web/ (fetched 2026-10-08)

Source: https://tessary.ai/answers/system-one-models/whats-the-difference-between-jev-and-aws-strands-decider
More on System one models: https://tessary.ai/answers/system-one-models
From Tessary, agent reliability for AI agents in production: https://tessary.ai