Loading every model…
THE COMPLETE LIST
A System One model is a decision model: it reads a state and answers typed questions — choose an option, score on a scale, or give the probability that a condition holds — in one forward pass, with calibrated confidence and no generated text.
This page lists every System One model on the registry — 30 from 30 makers — with what each decides, its size, context, licence and price, and the benchmark numbers its publisher reports. Updated October 4, 2026.
| Model | Decides | Parameters | Context | Availability and price | Licence | Reported accuracy | Median latency | Released |
|---|---|---|---|---|---|---|---|---|
| trio-spark-v1MachineFi | choice, route, classify | — | 1K tokens | Hosted API$0.042 / $0 per 1M | proprietary | — | — | Sep 30, 2026 |
| startlux-decisionStartLux | choice, score, noul | 4.7B | — | Open weightsFree (open weights) | cc-by-nc-4.0 | 88.3%JevBench public set (231 items; 204 correct), maker's run | 26 ms | Sep 29, 2026 |
| decisions-apiOpenAI | choice, classify, route | — | — | Hosted APIHosted, price not published | proprietary | — | — | Sep 29, 2026 |
| d1Liquid AI | choice, score, noul, classify, route | — | — | Hosted APIHosted, price not published | proprietary | — | — | Sep 29, 2026 |
| rizzo-flowRizzo AI Academy | choice, score, noul, classify, route | 4.0B | — | Open weightsFree (open weights) | apache-2.0 | 64.8%LocalLLaMA/typed-decisions test split (400 cases, 2,000 decisions), Q8_0 | 195 ms | Sep 25, 2026 |
| jev-27bAutoTrust AI Lab | choice, score, noul | 27B | — | Open weightsFree (open weights) | apache-2.0 | 88.7%JevBench public set (231 items), family-macro score, maker's run | 137 ms | Sep 25, 2026 |
| gliner2-5-decideFastino Labs | choice, score, noul, classify, extract, route | 340M | — | Open weights + hosted APIHosted, price not published, or free to self-host | apache-2.0 | 60.2%Fastino fast-decisions suite (17 datasets) | 38.3 ms | Sep 24, 2026 |
| deciderMapika | choice, score, noul, classify, route | 1.9B | 32K tokens | Open weightsFree (open weights) | apache-2.0 | 75.2%Decider regression set, 28 held-out tasks (decider-2b v11) | — | Sep 24, 2026 |
| span-01Respan | noul, classify | — | — | Hosted API$0.02 / $0 per 1M | proprietary | — | — | Sep 24, 2026 |
| julia-1Supersonic Labs | choice, score, noul, classify, route | 144M | 8K tokens | Open weightsFree (open weights) | apache-2.0 | 73.2%typed-decisions test set (400 cases, 2,000 questions) | — | Sep 23, 2026 |
| clmContrastive-LM | choice, score, noul, rank, classify, route | 8.0B | — | Open weightsFree (open weights) | apache-2.0 | — | — | Sep 23, 2026 |
| neohorse-jevTokenRhythm | choice, score, noul, classify, route | 4.0B | — | Open weightsFree (open weights) | apache-2.0 | 75.3%JevBench public set (231 items), vLLM, maker's run | — | Sep 23, 2026 |
| tev1Together AI | choice, classify, route | 4.0B | — | Open weights + hosted API$0.042 / $0 per 1M, or free to self-host | other | 88.0%Together development set (reused, not held out) | — | Sep 23, 2026 |
| lumma-fevFrontiersMind | choice, score, noul | 649M | 8K tokens | Open weightsFree (open weights) | apache-2.0 | 64.0%typed-decisions (maker's table; split not stated) | 45.8 ms | Sep 22, 2026 |
| decisionvLLM Semantic Router | choice, score, noul, classify, route | 9.0B | 16K tokens | Open weightsFree (open weights) | apache-2.0 | 77.4%vLLM-SR decision benchmark (54 tasks, 3,766 decisions, weighted) | — | Sep 22, 2026 |
| solar-decideUpstage | choice, score, noul, classify, route | — | 512K tokens | Hosted API$0.1 / $0 per 1M | proprietary | — | — | Sep 22, 2026 |
| state-decider-1meraGPT | choice, score, noul, classify, route | — | 4K tokens | Hosted API$0.03 / $0 per 1M | proprietary | 76.8%typed-decisions benchmark (400 cases, 2,000 decisions; teacher-ensemble references), single run | — | Sep 22, 2026 |
| anyjevNokia | choice, score, noul, classify, route | 8.0B | — | Open weightsFree (open weights) | apache-2.0 | 77.1%LocalLLaMA/typed-decisions (2,000 held-out decisions), L2 with 300 labels per question | — | Sep 21, 2026 |
| xorJuspay | choice, score, noul, classify, route | 35B | — | Open weightsFree (open weights) | apache-2.0 | 90.0%JevBench public set (231 items), maker's self-run of Xor 1.2 | 69 ms | Sep 21, 2026 |
| metask-jevMetask Lab | choice, score, noul, classify, route | 4.5B | 4K tokens | Open weightsFree (open weights) | apache-2.0 | 80.1%JevBench v1.2 public set (231 items) at 4,096 tokens, maker's run | 62.8 ms | Sep 21, 2026 |
| runeSurogate (Invergent) | choice, score, noul, classify, route | 26B | 262K tokens | Open weights + hosted APIHosted, price not published, or free to self-host | apache-2.0 | — | — | Sep 21, 2026 |
| kevJared Palmer | choice, score, noul, classify, route | 4.0B | 8K tokens | Open weightsFree (open weights) | apache-2.0 | 83.8%transfer-v4 (locked, out of domain) | — | Sep 19, 2026 |
| djevMaisa | choice, score, noul | 26B | — | Open weights + hosted API$0.035 / $0 per 1M, or free to self-host | apache-2.0 | — | — | Sep 19, 2026 |
| layaConvai Innovations | choice, score, noul, classify, route | 421M | 512 tokens | Open weightsFree (open weights) | apache-2.0 | — | 39.5 ms | Sep 18, 2026 |
| open-jev-deberta-v3-largeKotoba Labs | choice, score, noul, classify | 434M | 512 tokens | Open weightsFree (open weights) | apache-2.0 | 85.4%Kotoba held-out test, seen question types (banking77, SST-5, BoolQ) | 28 ms | Sep 18, 2026 |
| bespoke-nimble-9bBespoke Labs | choice, noul, score, classify, route | 9.0B | 8K tokens | Open weights + hosted APIHosted, price not published, or free to self-host | apache-2.0 | 90.1%Bespoke held-out set (324 examples) | 106 ms | Sep 18, 2026 |
| cua-s1-formsCua | choice | 706K | — | Open weightsFree (open weights) | mit | 100.0%196-decision evaluation on real forms | — | Sep 18, 2026 |
| simple-jevFeatherless AI | choice, score, noul, classify, route | — | — | Open weights + hosted APIHosted, price not published, or free to self-host | apache-2.0 | — | — | Sep 18, 2026 |
| jevTypeSafe AI | choice, score, noul, classify, route | — | 32K tokens | Hosted API$0.042 / $0 per 1M | proprietary | — | — | Sep 15, 2026 |
| miraSAGEA | choice, score, noul, classify, route | — | — | Open weightsFree (open weights) | apache-2.0 | 61.3%s1-decision-bench | 30 ms | — |
Accuracy and latency are what each publisher reports, on its own suite and hardware. They are not a ranking: the suites differ. Parameters, context, licence and price are from each model’s manifest.
Pull any open-weight model from your terminal. Files are verified against their SHA-256 and cached.
pip install systemonemodels systemone pull convai-innovations/laya
Hosted models are called through their provider’s API; each model page has a playground that builds the request.
System One Studio fine-tunes Laya on your own labelled data, on your own machine, measures it against the base model on the same held-out split, and publishes it here in one step.
A System One model is a decision model: it reads a state and answers typed questions — choose an option, score on a scale, or give the probability that a condition holds — in one forward pass, with calibrated confidence and no generated text.
Here, on System One Models (systemonemodels.ai): a registry built only for System One models, like Hugging Face but for decision models. This page lists every one it knows about, open and hosted, and each model has its own page with files, a playground and its lineage.
The registry lists 30 System One models from 30 makers: 23 with open weights and 13 served as a hosted API, counting models that are both in each. People have published 8 fine-tunes and experiments on top of them.
jev, from TypeSafe AI, released on Sep 15, 2026.
Open weights under a licence that allows commercial use: mira (apache-2.0), laya (apache-2.0), gliner2-5-decide (apache-2.0), julia-1 (apache-2.0), clm (apache-2.0), neohorse-jev (apache-2.0), rizzo-flow (apache-2.0), open-jev-deberta-v3-large (apache-2.0), decider (apache-2.0), lumma-fev (apache-2.0), kev (apache-2.0), bespoke-nimble-9b (apache-2.0), anyjev (apache-2.0), cua-s1-forms (mit), xor (apache-2.0), decision (apache-2.0), metask-jev (apache-2.0), djev (apache-2.0), jev-27b (apache-2.0), rune (apache-2.0) and simple-jev (apache-2.0). Some other models publish weights under a non-commercial licence or none at all, so check each model's licence before shipping it.
By the median latency their publishers report, the fastest are startlux-decision at 26 ms, open-jev-deberta-v3-large at 28 ms and mira at 30 ms. The figures come from different hardware and different request sizes, so measure on your own setup before choosing on speed.
Open-weight models are free to download and run on your own hardware. Hosted ones are billed by their providers per million input tokens: jev at $0.042, tev1 at $0.042, trio-spark-v1 at $0.042, solar-decide at $0.1, state-decider-1 at $0.03, span-01 at $0.02 and djev at $0.035.
There is no fair ranking yet. Every publisher reports accuracy on a different suite — their own held-out set, a JevBench tier, a domain benchmark — so the numbers in the table are not comparable with each other. The table shows the suite next to each figure; the reliable test is your own labelled examples.
Install the CLI with pip install systemonemodels, then systemone pull namespace/name downloads a model’s files, each verified against its SHA-256. Hosted models are called through their provider’s API, which each model page links to.
Yes. System One Studio fine-tunes Laya on your own data, on a Mac, Windows or Linux machine, and publishes the result here in one step. Any open-weight model can be fine-tuned with its own training code and published with systemone push.
Read on: AI decision models · Open-source Jev alternatives · the glossary · What is a System One model? · System One models vs LLMs · The landscape, in depth