gev beats jev and takes images as input too
Head-to-head eval page where TrustedRouter's gev-1.0 outperforms Jev on the same JevBench questions and also accepts images.
This summary is based on how curated lists describe the project; its README was not available to review.
Overview
This anyeval.com page compares TypeSafe's Jev with gev-1.0 from TrustedRouter on JevBench in a head-to-head view. According to the list summary, the rival model outperforms Jev on the same question set and additionally accepts images as input.
It is a pointer to competitive alternatives to Jev. The page and its methodology were not reviewed here, so the size of the gap and the benchmark version are unknown.
What the decision model decides
| Type | Question | Answers |
|---|---|---|
| Other | Benchmark comparison of two decision models on JevBench(inferred) | — |
How it works
- Open the versus page
- Compare per-question and aggregate results
- Verify on your own questions before switching models
Strengths
- Direct comparison on the same questions
- Highlights an image-capable alternative
Caveats
- List-only; results not reviewed
- Single benchmark
Getting started
See https://anyeval.com/eval/jevbench/versus?a=typesafe-ai%2Fjev&b=trustedrouter%2Fgev-1.0.At a glance
- Type
- Article
- Status
- discussion
Use cases and integrations
How curated lists describe it
Benchmark: a head-to-head eval page where a rival model outperforms Jev on the same question set and additionally accepts images.
yibie/awesome-jev
Frequently asked questions
What is gev?
A decision model from TrustedRouter that also accepts images.
Does it beat Jev?
The listing says it outperforms Jev on the compared JevBench set.
Where is the comparison?
On anyeval.com's JevBench versus page.
Related projects
Perplexity's Apache-2.0 multimodal decision model on Qwen3.8-27B, reporting 61.56 on the Decision Index versus 57.9 for Jev.
ServiceproductionPythonSmall open vision-language decision models (2B, 4B, 9B) that answer typed questions about photos and records with a trained can't-tell.
ModelbetaPythonBilingual research report on what Jev is, how its claims compare with independent evidence, and the open-source alternatives.
ProjectresearchDatawhale's Chinese Jev course: notebooks on the three primitives, translated recipes, evaluation and local Laya fine-tuning.
ArticleproductionPythonHacker News thread on Decision Index 0.2.1, which compared about 70 open reproductions of Jev's decision model.
Discussiondiscussion- TypeAR★ 946
TypeLLM: Jev-inspired type-safe decoding for existing autoregressive LLMs on SGLang, with schema-guaranteed typed outputs.
ProjectbetaPython