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Arc53: arc-decide and Rizzo AI Academy: rizzo-flow, compared on what they decide, where they run, what they cost and what their publishers report.
| Property | arc53/arc-decide | rizzo-ai-academy/rizzo-flow |
|---|---|---|
| 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. | A local, Jev-compatible decision model from Rizzo AI Academy. XHToken's Spark-X2.5-4B with a merged typed-decisions LoRA, run on llama.cpp; yes/no, choice and score questions share one prefill of the state and are read from the answer-letter logits. No text is generated. |
| Decides | choice, score, noul, classify, rank, route | choice, score, noul, classify, route |
| Architecture | arc-decide | rizzo-flow |
| Fine-tuned from | qwen/qwen3-0.6b-base | xhtoken/spark-x2.5-4b |
| License | mit | apache-2.0 |
| Availability | Open weights | Open weights |
| Hosted by | — | — |
| Input price | — | — |
| Decision accuracy | — | 64.8% |
| Calibration error | — | 0.112 |
| Valid action rate | — | — |
| Median latency | — | 195 ms |
| p95 latency | — | — |
| Evaluation suite | — | LocalLLaMA/typed-decisions test split (400 cases, 2,000 decisions), Q8_0 |
| Latest version | 0.1.0 | 2026.09 |
| Variants | LICENSE, LICENSE-Qwen3, onnx | lora, LICENSE |
| Size of latest version | 3.7 GB | 22.0 GB |
| Files | 19 | 17 |
| Downloads | 0 | 2 |
| Stars | 0 | 0 |
| Tags | system-one, qwen, calibrated, rag, reranker, guardrails, 0.6b | system-one, spark, lora, gguf, llama-cpp, 4b |
| 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 rizzo-flow from Rizzo AI Academy. 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 4.0B. arc-decide is licensed mit; rizzo-flow, apache-2.0.
Only rizzo-flow publishes an accuracy figure (64.8% on LocalLLaMA/typed-decisions test split (400 cases, 2,000 decisions), Q8_0); arc-decide does not, so there is no comparison to make without your own test.
arc-decide: Free (open weights). rizzo-flow: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Yes, both: systemone pull arc53/arc-decide and systemone pull rizzo-ai-academy/rizzo-flow download the weights.