HEAD TO HEAD
Arc53: arc-decide and Maziyar Panahi: modernjev-decide, compared on what they decide, where they run, what they cost and what their publishers report.
| Property | arc53/arc-decide | maziyar-panahi/modernjev-decide |
|---|---|---|
| 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 149.6M ModernBERT-base cross-encoder with a scalar head that picks an agent's next action or tool from labels and descriptions you supply. Each option is scored against the state and a softmax ranks the set; no text is generated. Experimental preview, not calibrated. |
| Decides | choice, score, noul, classify, rank, route | choice, rank, route |
| Architecture | arc-decide | modernjev |
| Fine-tuned from | qwen/qwen3-0.6b-base | answerdotai/modernbert-base |
| License | mit | apache-2.0 |
| Availability | Open weights | Open weights |
| Hosted by | — | — |
| Input price | — | — |
| Decision accuracy | — | 73.4% |
| Calibration error | — | — |
| Valid action rate | — | — |
| Median latency | — | — |
| p95 latency | — | — |
| Evaluation suite | — | AgentToolDecisions-180K held-out test, next action type (1,158 decisions, 3 choices; the maker's split) |
| Latest version | 0.1.0 | 2026.09 |
| Variants | LICENSE, LICENSE-Qwen3, onnx | — |
| Size of latest version | 3.7 GB | 574.1 MB |
| Files | 19 | 5 |
| Downloads | 0 | 0 |
| Stars | 0 | 0 |
| Tags | system-one, qwen, calibrated, rag, reranker, guardrails, 0.6b | system-one, encoder, modernbert, cross-encoder, tool-routing, preview, 149.6m |
| 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 modernjev-decide from Maziyar Panahi. Both have open weights you can download and run. Both answer choice, rank and route questions. Only arc-decide answers score, noul and classify. modernjev-decide is the smaller model, at 150M parameters to 600M. arc-decide is licensed mit; modernjev-decide, apache-2.0.
Only modernjev-decide publishes an accuracy figure (73.4% on AgentToolDecisions-180K held-out test, next action type (1,158 decisions, 3 choices; the maker's split)); arc-decide does not, so there is no comparison to make without your own test.
arc-decide: Free (open weights). modernjev-decide: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Yes, both: systemone pull arc53/arc-decide and systemone pull maziyar-panahi/modernjev-decide download the weights.