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Compare · release 2026-09-18

Jev vs DeepSeek V4.1 Flash

Jev vs DeepSeek V4.1 Flash, scored against human labels. Decision Score: noul 69.0 vs 47.5, choice 67.8 vs 63.9 and score 9.2 vs −19.0. Release 2026-09-18.

Jev is a System One model: it answers with probabilities and writes no text. DeepSeek V4.1 Flash is an LLM, answering the same questions through an adapter. How Jev differs from an LLM

noul on PubMedQA

Jev DeepSeek V4.1 Flash
Decision Score69.095% range 59.8 to 76.547.595% range 34.7 to 59.1
Ranktied for rank 1 of 8rank 7 of 8
Accuracy91.3%83.7%
Calibration gap5.0 pts6.2 pts
Hand-off at 95%86%—
$ per 1k decisions$0.029$0.078
Speed p95653 ms1.1 s

Question by question (right = most of 5 runs right), out of 300: both right on 249, only Jev on 25, only DeepSeek V4.1 Flash on 4, neither on 22. Same usual pick on 90%. See where they differ

choice on Banking77

Jev DeepSeek V4.1 Flash
Decision Score67.895% range 61.3 to 74.563.995% range 58.5 to 69.6
Ranktied for rank 2 of 8tied for rank 4 of 8
Accuracy79.7%75.9%
Calibration gap9.8 pts2.8 pts
Hand-off at 95%54%39%
$ per 1k decisions$0.043$0.14
Speed p95693 ms1.3 s

Question by question (right = most of 5 runs right), out of 300: both right on 221, only Jev on 17, only DeepSeek V4.1 Flash on 14, neither on 48. Same usual pick on 88%. See where they differ

score on HelpSteer2 helpfulness

Jev DeepSeek V4.1 Flash
Decision Score9.295% range −4.4 to 21.0−19.095% range −36.0 to −3.3
Ranktied for rank 1 of 8rank 7 of 8
Accuracy41.3%34.7%
Calibration gap19.7 pts33.5 pts
Hand-off at 95%——
$ per 1k decisions$0.036$0.13
Speed p95670 ms1.2 s

Question by question (right = most of 5 runs right), out of 300: both right on 74, only Jev on 50, only DeepSeek V4.1 Flash on 26, neither on 150. Same usual pick on 61%. See where they differ

Jev · DeepSeek V4.1 Flash · all models · how we score · board.json