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OmniJev
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Model Details
Model Provider
OmniJev
Model Tree
Qwen/Qwen3.8-27B
Input Modalities
Output Modalities
Supported Functionality
On the public part of Decision Index 0.3 (37 benchmarks, 140,178 requests, run and scored with the board's own kit), OneJev1.5-27B scores 63.64, fifth of the 148 models on the board. Its Arts & Human Taste score is the highest on the board, and its Language Understanding score is second among the five models below.
The four other models are the highest-scoring models of 25B to 36B parameters on the board. Their scores are their public-part scores on the board on 12 October 2026.
bash
pip install "qev[torch] @ git+https://github.com/OmniJev/OneJev.git"qev serve --model OmniJev/OneJev1.5-27Bpython
from qev import Client, Choice, Noulfrom qev.media import data_uri r = Client("http://localhost:8000").system_one( state={"task": "Pay the open invoice from ACME", "screen": "<image:1>"}, media=[{"type": "image", "data": data_uri("screenshot.png")}], questions={"done": Noul("The invoice has been paid"), "next": Choice("What should the agent do next?", {"click": "click an element", "stop": "stop"})},)The server speaks TypeSafe's System One API plus a media field for images and video. More examples and the code are on GitHub.
bibtex
@misc{onejev2026, title = {{OneJev}: A Multimodal System One Decision Model}, author = {{OmniJev Team}}, year = {2026}, howpublished = {\url{https://github.com/OmniJev/OneJev}}}Apache 2.0
@misc{onejev2026, title = {{OneJev}: A Multimodal System One Decision Model}, author = {{OmniJev Team}}, year = {2026}, howpublished = {\url{https://github.com/OmniJev/OneJev}}}