20 Jev Alternatives Emerge for Decision Models in 2026

Jev is a decision model that returns a label, score, or yes/no probability based on defined answers, rather than generating text like a chatbot. TypeSafe's Jev operates with a context of 64k tokens per request and has closed weights, requiring access via a waitlist.

Key limitations of Jev that these alternatives address include the lack of image processing capabilities, no self-hosting option, an undisclosed model size, and no fine-tuning support. The new models are compared on size, license, hardware requirements, pricing, API compatibility, and benchmarks.

The size of these alternative models ranges from 287 million parameters (GLiNER2.5-multi-Decide) to 35 billion parameters (Mapika Decider). For comparison, Jev's size has not been disclosed. Smaller models, such as 4B adapters, can run on a 24 GB GPU or a 32 GB Mac.

Performance benchmarks show mixed results. Cloudflare's Clef model achieved a 94.20 BANKING77 F1 score, surpassing Jev's 79.74 in Cloudflare's own tests. However, Von 1.2 scored 0.422 accuracy in Respan's benchmark, significantly lower than Jev's 0.932.

It is important to note that most benchmark figures are self-reported, and the testing suites differ, including JevBench, Decision Index, typed-decisions, and Respan’s behavior benchmark. Scores across these different suites are not directly comparable.