Decision AI Models Explained: TypeSafe Jev vs Fastino GLiDE, GLiNER2.5-Decide and Open-Source Competitors
TypeSafe's Jev and rivals return calibrated choices and scores instead of text, at much lower cost and latency.
TypeSafe's Jev is a decision model that returns choices, rubric scores, or yes-or-no probabilities instead of generated text, trained with Reinforcement Learning for Calibrated Decisions. On TypeSafe workflow evals it scored 67.8% mean accuracy at about $0.0004 per case and 0.4 seconds, matching Claude Sonnet 5 while trailing a top comparison model at 74.1%. Pricing is $0.042 per million input tokens with a 32K window and 70–500 ms responses. Fastino's GLiDE, GLiNER2.5-Decide, and open-source reproductions compete, and Vercel reported nearly 13% of paid AI Gateway teams using Jev within 24 hours.
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