Ultra-small English encoders (17M, 68M and 395M) fine-tuned from Ettin rerankers. Each answers choice, noul and score questions with a probability per candidate and no generated text. Experimental v0 by one developer; the weights have no licence assigned yet.
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.
Decides
choice, noul, score
choice, score, noul
Architecture
bekko
lumma-fev
Fine-tuned from
cross-encoder/ettin-reranker-400m-v1
frontiersmind/lumma-0.6b-base
License
Unassigned: the weights licence is not finalised (treated as non-commercial); training code MIT
apache-2.0
Availability
Open weights
Open weights
Hosted by
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Input price
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Decision accuracy
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64.0%
Calibration error
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Valid action rate
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Median latency
5 ms
45.8 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 bekko-system-one and lumma-fev?
bekko-system-one is from Yuichi Tateno (hotchpotch) and lumma-fev from FrontiersMind. Both have open weights you can download and run. Both answer choice, noul and score questions. bekko-system-one is the smaller model, at 395M parameters to 649M. bekko-system-one is licensed other; lumma-fev, apache-2.0.
Which is more accurate, bekko-system-one or lumma-fev?
Only lumma-fev publishes an accuracy figure (64.0% on typed-decisions (maker's table; split not stated)); bekko-system-one does not, so there is no comparison to make without your own test.
Which is cheaper, bekko-system-one or lumma-fev?
bekko-system-one: Free (open weights). lumma-fev: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Which is faster, bekko-system-one or lumma-fev?
By their publishers’ figures, bekko-system-one answers in about 5 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 bekko-system-one or lumma-fev locally?
Yes, both: systemone pull hotchpotch/bekko-system-one and systemone pull frontiersmind/lumma-fev download the weights.
5.4 ms
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Evaluation suite
The maker's short-input speed probe (4-option Choice, RTX 5090, 1 Oct 2026)
