Loading comparison…
HEAD TO HEAD
Arc53: arc-decide and Omar (kouhxp): gutsy, compared on what they decide, where they run, what they cost and what their publishers report.
| Property | arc53/arc-decide | kouhxp/gutsy |
|---|---|---|
| Summary | A 0.6B decision model on Qwen3-0.6B-Base from the DocsGPT team. Give it a state and typed questions (yes/no, a choice of up to 16 options, a 3- or 4-level score) and it returns calibrated probabilities in one pass, for RAG and agent checks. | Omar (kouhxp)'s CPU decision model: a Qwen3.5-0.8B fine-tune shipped as GGUF for llama.cpp that answers yes/no, choice and score questions with a probability per option plus a 'none of these' reject probability, served by a local Jev-style HTTP runtime. |
| Decides | choice, score, noul, classify, rank, route | choice, score, noul, classify, route |
| Architecture | arc-decide | gutsy |
| Fine-tuned from | qwen/qwen3-0.6b-base | qwen/qwen3.5-0.8b |
| License | mit | apache-2.0 |
| Availability | Open weights | Open weights |
| Hosted by | — | — |
| Input price | — | — |
| Decision accuracy | — | 73.2% |
| Calibration error | — | — |
| Valid action rate | — | — |
| Median latency | — | — |
| p95 latency | — | — |
| Evaluation suite | — | JevBench public set (231 items; 169 correct), the maker's own run with Q8_0 |
| Latest version | 0.1.0 | 0.4.0 |
| Variants | LICENSE, LICENSE-Qwen3, onnx | LICENSE, gutsy-inference |
| Size of latest version | 3.7 GB | 1.2 GB |
| Files | 19 | 24 |
| Downloads | 0 | 0 |
| Stars | 0 | 0 |
| Tags | system-one, qwen, calibrated, rag, reranker, guardrails, 0.6b | system-one, qwen, gguf, llama-cpp, cpu, 0.8b |
| 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.
arc-decide is from Arc53 and gutsy from Omar (kouhxp). Both have open weights you can download and run. Both answer choice, score, noul, classify and route questions. Only arc-decide answers rank. arc-decide is the smaller model, at 600M parameters to 800M. arc-decide is licensed mit; gutsy, apache-2.0.
Only gutsy publishes an accuracy figure (73.2% on JevBench public set (231 items; 169 correct), the maker's own run with Q8_0); arc-decide does not, so there is no comparison to make without your own test.
arc-decide: Free (open weights). gutsy: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Yes, both: systemone pull arc53/arc-decide and systemone pull kouhxp/gutsy download the weights.