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HEAD TO HEAD
Yuichi Tateno (hotchpotch): bekko-system-one and Berget AI: bev, compared on what they decide, where they run, what they cost and what their publishers report.
| Property | hotchpotch/bekko-system-one | berget-ai/bev |
|---|---|---|
| Summary | 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. | Berget AI's System One model for gating agent commands: a LoRA adapter and a fine-tuned joint schema head on Cloudflare's Clef-Flash that answer noul, choice and score questions over a state in one forward pass. Trained on Swedish and English operations decisions. |
| Decides | choice, noul, score | noul, choice, score |
| Architecture | bekko | clef |
| Fine-tuned from | cross-encoder/ettin-reranker-400m-v1 | cloudflare/clef-flash |
| 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 | — | — |
| Input price | — | — |
| Decision accuracy | — | 97.0% |
| Calibration error | — | — |
| Valid action rate | — | — |
| Median latency | 5 ms | — |
| p95 latency | 5.4 ms | — |
| Evaluation suite | The maker's short-input speed probe (4-option Choice, RTX 5090, 1 Oct 2026) | Berget held-out risk split (16,902 questions; same operations-traffic corpora as training) |
| Latest version | 2026.09 | 2026.09 |
| Variants | 0_BekkoInference | — |
| Size of latest version | 1.5 GB | 339.0 MB |
| Files | 9 | 3 |
| Downloads | 0 | 0 |
| Stars | 0 | 0 |
| Tags | system-one, encoder, ettin, onnx, browser, small, 395m | system-one, lora, clef, guardrails, safety, swedish, 9b |
| Updated | Oct 7, 2026 | Oct 7, 2026 |
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.
bekko-system-one is from Yuichi Tateno (hotchpotch) and bev from Berget AI. 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 9.0B. bekko-system-one is licensed other; bev, apache-2.0.
Only bev publishes an accuracy figure (97.0% on Berget held-out risk split (16,902 questions; same operations-traffic corpora as training)); bekko-system-one does not, so there is no comparison to make without your own test.
bekko-system-one: Free (open weights). bev: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Yes, both: systemone pull hotchpotch/bekko-system-one and systemone pull berget-ai/bev download the weights.