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.
FLock.io's typed-decision model, fine-tuned from Mapika's decider-2b. Reads one hidden state per question and scores the declared options, so an answer outside the list cannot occur; several questions about one state share a forward pass.
Decides
choice, score, noul
choice, score, noul
Architecture
lumma-fev
this-that
Fine-tuned from
frontiersmind/lumma-0.6b-base
mapika/decider
License
apache-2.0
mit
Availability
Open weights
Open weights
Hosted by
—
—
Input price
—
—
Decision accuracy
64.0%
87.8%
Calibration error
—
—
Valid action rate
—
—
Median latency
45.8 ms
31.4 ms
p95 latency
—
—
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 this-that-model?
lumma-fev is from FrontiersMind and this-that-model from FLock.io. Both have open weights you can download and run. Both answer choice, score and noul questions. lumma-fev is the smaller model, at 649M parameters to 1.9B. lumma-fev is licensed apache-2.0; this-that-model, mit.
Which is more accurate, lumma-fev or this-that-model?
They report on different suites — lumma-fev 64.0% on typed-decisions (maker's table; split not stated), this-that-model 87.8% on limberc/this-that-complex-decisions (1,710 questions, FLock's benchmark) — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, lumma-fev or this-that-model?
lumma-fev: Free (open weights). this-that-model: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Which is faster, lumma-fev or this-that-model?
By their publishers’ figures, this-that-model answers in about 31.4 ms at the median and lumma-fev in about 45.8 ms — measured on different hardware, so treat it as a rough guide.
Can I run lumma-fev or this-that-model locally?
Yes, both: systemone pull frontiersmind/lumma-fev and systemone pull flock-io/this-that-model download the weights.
