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HEAD TO HEAD
Interfaze AI: lev and EldanRing: winnow, compared on what they decide, where they run, what they cost and what their publishers report.
| Property | interfaze-ai/lev | eldanring/winnow |
|---|---|---|
| Summary | An open System One model from Interfaze AI. A rank-32 LoRA on Qwen3.5-4B reads yes/no, choice and score answers from the logits of one forward pass, returns calibrated probabilities and serves the /v1/systemone API. | A Gemma 4 12B fine-tune for typed decisions that also chats and reads images. Ships as GGUF for llama.cpp, holds a 64K context on a 16 GB GPU, and serves /v1/systemone next to /v1/chat/completions. |
| Decides | choice, score, noul, classify, route | choice, score, noul, classify, route |
| Architecture | lev | winnow |
| Fine-tuned from | qwen/qwen3.5-4b | google/gemma-4-12b-it |
| License | apache-2.0 | apache-2.0 |
| Availability | Open weights | Open weights |
| Hosted by | — | — |
| Input price | — | — |
| Decision accuracy | 68.9% | 85.7% |
| Calibration error | 0.115 | — |
| Valid action rate | — | — |
| Median latency | 69 ms | 143 ms |
| p95 latency | — | — |
| Evaluation suite | S1Bench (13 public subsets, macro) | JevBench public subset (231 items), Q8_0 |
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.
lev is from Interfaze AI and winnow from EldanRing. Both have open weights you can download and run. Both answer choice, score, noul, classify and route questions. lev is the smaller model, at 4.0B parameters to 12B.
They report on different suites — lev 68.9% on S1Bench (13 public subsets, macro), winnow 85.7% on JevBench public subset (231 items), Q8_0 — so the numbers do not rank them. Test both on your own labelled examples.
lev: Free (open weights). winnow: Free (open weights). Open weights cost nothing per call beyond your own hardware.
By their publishers’ figures, lev answers in about 69 ms at the median and winnow in about 143 ms — measured on different hardware, so treat it as a rough guide.
Yes, both: systemone pull interfaze-ai/lev and systemone pull eldanring/winnow download the weights.
| Latest version | 2026.09 | 2026.09 |
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| Variants | — | gguf, SHA256SUMS, LICENSE, NOTICE |
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| Size of latest version | 195.1 MB | 34.2 GB |
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| Files | 8 | 8 |
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| Downloads | 0 | 0 |
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| Stars | 0 | 0 |
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| Tags | system-one, qwen, lora, calibrated, 4b | system-one, gemma, gguf, vision, llama-cpp, 12b |
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| Updated | Sep 27, 2026 | Sep 27, 2026 |
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