158 comparisons · updated 2 November 2026
Compare decision models
Head to head on the things that decide a shortlist: licence, architecture, size and evidence grade.
How to use these
Start with licence. It rules models out of a product faster than any benchmark and it is the one dimension that is never ambiguous. Then architecture, because it decides whether the confidence number is something you can route on. Size last.
Against the commercial model
Jev is the only model here we have measured end to end, so every one of these has a known quantity on one side and an unknown on the other.
Jev vs laya
421M · apache-2.0
Jev vs JEV-27B-VL
27.8B · decoder · apache-2.0
Jev vs JEV-35B
36.0B · decoder · apache-2.0
Jev vs Qwen-2.5-1B-RLCD
decoder · apache-2.0
Jev vs JEV-27B
26.9B · decoder · apache-2.0
Jev vs AutoTrust-JEV-27B-v1.1
27.4B · apache-2.0
Jev vs Jev-Omni
decoder · apache-2.0
Jev vs laya-multilingual
322M · apache-2.0
Jev vs laya-typed-decisions
421M · apache-2.0
Jev vs JEV-9B
9.0B · decoder · apache-2.0
Jev vs cua-s1-forms
mit
agent-jev vs Jev
598M · decoder · apache-2.0
decider-2b-vision vs Jev
2.2B · decoder · apache-2.0
decider-2b vs Jev
1.9B · decoder · apache-2.0
JEV-CPU vs Jev
decoder · mit
laya-vision-smolvlm-256m vs Jev
237M · decoder · cc-by-nc-sa-4.0
LFM2.5-350M-RLCD vs Jev
354M · decoder · other
modernbert-ja-310m-jev vs Jev
315M · encoder · cc-by-sa-4.0
Open-Jev-9B vs Jev
decoder · apache-2.0
open-jev-deberta-v3-large vs Jev
434M · encoder · apache-2.0
Open model against open model
Neither side of these has an independent benchmark. What they do have is a licence, an architecture and a size, and those are enough to narrow a shortlist.
The models in these comparisons
The 12 most-watched, excluding quantised builds and adapters. Comparing a model to its own GGUF conversion is not a comparison.
Jev
TypeSafe's hosted decision model. Returns a typed choice with a full probability distribution instead of text. The only model in this directory we have benchmarked end to end.
laya
The most-liked open-weight decision model of the post-Jev wave, a 421M ModernBERT-large encoder. The base release of a three-model family.
JEV-27B-VL
Qwen3.8-27B fine-tuned to return typed decisions, 28B parameters.
JEV-35B
Qwen3.5-35B-A3B fine-tuned to return typed decisions, 36B parameters.
Qwen-2.5-1B-RLCD
Qwen2.5-1.5B-Instruct fine-tuned to return typed decisions.
JEV-27B
Qwen3.8-27B fine-tuned to return typed decisions, 27B parameters.
AutoTrust-JEV-27B-v1.1
AutoTrust-JEV-27B-v1.1, an open-weight model published to return typed decisions, 27B parameters.
Jev-Omni
gemma-4-12B-it fine-tuned to return typed decisions.
laya-multilingual
The only multilingual decision model we have found, a 322M encoder on mmBERT. Also the one our English-only test set cannot say anything useful about.
laya-typed-decisions
The Laya variant tuned on the typed-decisions benchmark, and the only open model whose card publishes head-to-head numbers against Jev. One of those numbers is the reason we started measuring.
JEV-9B
Qwen3.5-9B fine-tuned to return typed decisions, 9B parameters.
cua-s1-forms
A System One model narrowed to one job, filling forms. MIT licensed, and the clearest example in the directory of the interface spreading past the benchmark it was born on.
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