An open Jev-style decision model by Andy Zhang: a LoRA adapter on Gemma 4 26B-A4B (also on Gemma 4 12B) that reads a state and returns a temperature-calibrated probability for every option of a yes/no, choice or score question in one forward pass.
Superagent's 27B security decision model. It scores 2 to 16 supplied options in one forward pass and returns a probability for each, for triaging prompt injection, agent tool calls, code changes, logs and alerts. Apache-2.0 weights (gated, auto-approved) plus a hosted API.
Decides
choice, score, noul
choice, score, noul, classify, route
Architecture
ajev
security-one
Fine-tuned from
google/gemma-4-26b-a4b-it
denis-pplx/autojev-27b
License
apache-2.0
apache-2.0
Availability
Open weights
Open weights + hosted API
Hosted by
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Superagent
Input price
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—
Decision accuracy
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99.8%
Calibration error
—
—
Valid action rate
—
—
Median latency
49 ms
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p95 latency
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Figures are from each model’s manifest; accuracy and latency are what the publishers report, on their own suites and hardware. Add a third model.
Questions
What is the difference between ajev and security-one?
ajev is from Andy Zhang and security-one from Superagent. ajev has open weights you can download and run; security-one has open weights and a hosted API. Both answer choice, score and noul questions. Only security-one answers classify and route. ajev is the smaller model, at 26B parameters to 27B.
Which is more accurate, ajev or security-one?
Only security-one publishes an accuracy figure (99.8% on BIPIA binary prompt-injection detector adaptation (800 rows; Superagent's frozen evaluation, unsafe if P(unsafe) >= 0.70)); ajev does not, so there is no comparison to make without your own test.
Which is cheaper, ajev or security-one?
ajev: Free (open weights). security-one: Hosted, price not published, or free to self-host. Open weights cost nothing per call beyond your own hardware.
Can I run ajev or security-one locally?
Yes, both: systemone pull andy-zhang/ajev and systemone pull superagent/security-one download the weights.