FrontiersMind's decision model on a base it pre-trained from scratch. Each question reads the state and its own tokens once and a 256-dimension pointer head scores the options; Choice and Score take up to 255 entries, and nothing is generated.
Juspay's open decision model. Qwen3.6-35B-A3B with a merged rank-16 LoRA, shipped with a pinned SGLang serving bundle that answers Choice, Score and Noul questions over text, images or a video through a TypeSafe-compatible /v1/systemone API.
Decides
choice, score, noul
choice, score, noul, classify, route
Architecture
lumma-fev
xor
Fine-tuned from
frontiersmind/lumma-0.6b-base
qwen/qwen3.6-35b-a3b
License
apache-2.0
apache-2.0
Availability
Open weights
Open weights
Hosted by
—
—
Input price
—
—
Decision accuracy
64.0%
90.0%
Calibration error
—
0.073
Valid action rate
—
—
Median latency
45.8 ms
69 ms
p95 latency
—
162 ms
Evaluation suite
typed-decisions (maker's table; split not stated)
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 lumma-fev and xor?
lumma-fev is from FrontiersMind and xor from Juspay. Both have open weights you can download and run. Both answer choice, score and noul questions. Only xor answers classify and route. lumma-fev is the smaller model, at 649M parameters to 35B.
Which is more accurate, lumma-fev or xor?
They report on different suites — lumma-fev 64.0% on typed-decisions (maker's table; split not stated), xor 90.0% on JevBench public set (231 items), maker's self-run of Xor 1.2 — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, lumma-fev or xor?
lumma-fev: Free (open weights). xor: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Which is faster, lumma-fev or xor?
By their publishers’ figures, lumma-fev answers in about 45.8 ms at the median and xor in about 69 ms — measured on different hardware, so treat it as a rough guide.
Can I run lumma-fev or xor locally?
Yes, both: systemone pull frontiersmind/lumma-fev and systemone pull juspay/xor download the weights.
JevBench public set (231 items), maker's self-run of Xor 1.2
