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.
A 0.4B decision model made from the first 20 layers of Qwen3-0.6B plus a small attention head that compares options. It answers choice, noul and score questions in one pass, and choice order cannot change its answer by construction. Non-commercial licence.
Decides
choice, noul, score
choice, score, noul
Architecture
bekko
bev-decider
Fine-tuned from
cross-encoder/ettin-reranker-400m-v1
qwen/qwen3-0.6b
License
Unassigned: the weights licence is not finalised (treated as non-commercial); training code MIT
cc-by-nc-4.0
Availability
Open weights
Open weights
Hosted by
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Input price
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Decision accuracy
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74.7%
Calibration error
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Valid action rate
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Median latency
5 ms
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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 bev-decider?
bekko-system-one is from Yuichi Tateno (hotchpotch) and bev-decider from Avishek Biswas. 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 478M. bekko-system-one is licensed other; bev-decider, cc-by-nc-4.0.
Which is more accurate, bekko-system-one or bev-decider?
Only bev-decider publishes an accuracy figure (74.7% on avbiswas/bev-decision test split (5,000 held-out questions over 2,617 states), the maker's own); bekko-system-one does not, so there is no comparison to make without your own test.
Which is cheaper, bekko-system-one or bev-decider?
bekko-system-one: Free (open weights). bev-decider: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run bekko-system-one or bev-decider locally?
Yes, both: systemone pull hotchpotch/bekko-system-one and systemone pull avishek-biswas/bev-decider 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)
avbiswas/bev-decision test split (5,000 held-out questions over 2,617 states), the maker's own
