A 144M-parameter System One model on the multilingual mmBERT-small encoder. Takes a state, a question and 2 to 20 options and returns one decision with probabilities for choice, score and yes/no questions, on a CPU.
Uprelic's hosted decision API, run on GPUs in Paris. Answers noul, choice and score questions about text, JSON and up to 8 images, with a probability for every option and no generated text, on the same request shape as Jev. No weights; base model and size not disclosed.
Decides
choice, score, noul, classify, route
choice, score, noul, classify, route
Architecture
julia
strom
Fine-tuned from
jhu-clsp/mmbert-small
—
License
apache-2.0
proprietary
Availability
Open weights
Hosted API
Hosted by
—
Uprelic
Input price
—
$0.042/MTok
Decision accuracy
73.2%
87.0%
Calibration error
—
0.033
Valid action rate
—
—
Median latency
—
136 ms
p95 latency
—
—
Evaluation suite
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 julia-1 and strom?
julia-1 is from Supersonic Labs and strom from Uprelic. julia-1 has open weights you can download and run; strom is only available as a hosted API. Both answer choice, score, noul, classify and route questions. strom reads up to 32K tokens of state, against 8K tokens for julia-1. julia-1 is licensed apache-2.0; strom, proprietary.
Which is more accurate, julia-1 or strom?
They report on different suites — julia-1 73.2% on typed-decisions test set (400 cases, 2,000 questions), strom 87.0% on JevBench public set (231 items), the maker's production run of Strom 1.0.7 on 1 Oct 2026 (Open-Jev harness format) — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, julia-1 or strom?
julia-1: Free (open weights). strom: $0.042 / $0 per 1M. Open weights cost nothing per call beyond your own hardware.
Can I run julia-1 or strom locally?
julia-1 yes — systemone pull supersonic-labs/julia-1 downloads its weights. The other is only served as a hosted API.
typed-decisions test set (400 cases, 2,000 questions)
JevBench public set (231 items), the maker's production run of Strom 1.0.7 on 1 Oct 2026 (Open-Jev harness format)
