Loading comparison…
HEAD TO HEAD
DecisionTune: decisiontune and Supersonic Labs: julia-1, compared on what they decide, where they run, what they cost and what their publishers report.
| Property | decision-tune/decisiontune | supersonic-labs/julia-1 |
|---|---|---|
| Summary | DecisionTune's 395M decision model: ModernBERT-large fine-tuned with a 4 KB scoring head that scores a marker per option, answering a choice or yes/no question in one encoder pass with a probability for every option. Runs locally on CPU or GPU via PyTorch, MLX or ONNX. | A 144M-parameter System One model on the multilingual mmBERT-small encoder. Takes a state, a question and 2 to 20 options and returns one decision with probabilities for choice, score and yes/no questions, on a CPU. |
| Decides | choice, noul, route, classify | choice, score, noul, classify, route |
| Architecture | decisiontune | julia |
| Fine-tuned from | answerdotai/modernbert-large | jhu-clsp/mmbert-small |
| License | apache-2.0 | 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 | — | typed-decisions test set (400 cases, 2,000 questions) |
| Latest version | 1.0.0 | 1.0.0 |
| Variants | onnx | tests, julia, tokenizer, metrics, encoder, scripts |
| Size of latest version | 2.9 GB | 583.4 MB |
| Files | 8 | 40 |
| Downloads | 0 | 203 |
| Stars | 0 | 1 |
| Tags | system-one, encoder, modernbert, mlx, onnx, mcp, 395m | system-one, encoder, mmbert, multilingual, cpu, 144m |
| 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.
decisiontune is from DecisionTune and julia-1 from Supersonic Labs. Both have open weights you can download and run. Both answer choice, noul, route and classify questions. Only julia-1 answers score. julia-1 is the smaller model, at 144M parameters to 395M.
Only julia-1 publishes an accuracy figure (73.2% on typed-decisions test set (400 cases, 2,000 questions)); decisiontune does not, so there is no comparison to make without your own test.
decisiontune: Free (open weights). julia-1: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Yes, both: systemone pull decision-tune/decisiontune and systemone pull supersonic-labs/julia-1 download the weights.