An open-weights System One model from Convai Innovations. A fully fine-tuned ModernBERT-large encoder with a from-scratch decision head that scores one marker per option and answers every question in a single 33–39 ms pass. Runs on your own CPU or GPU.
A 4B decision model fine-tuned from Qwen3.5-4B-Base. A state and typed questions (choice, yes/no, score) go in; a temperature-calibrated probability for every option comes out of one pass, through a self-hosted /v1/systemone-compatible server. Apache-2.0 weights and code.
Decides
choice, score, noul, classify, route
choice, score, noul, classify, route
Architecture
laya
wald
Fine-tuned from
answerdotai/modernbert-large
qwen/qwen3.5-4b-base
License
apache-2.0
apache-2.0
Availability
Open weights
Open weights
Hosted by
—
—
Input price
—
—
Decision accuracy
—
88.3%
Calibration error
—
0.045
Valid action rate
—
—
Median latency
39.5 ms
33 ms
p95 latency
—
168 ms
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.
Questions
What is the difference between laya and wald?
laya is from Convai Innovations and wald from ORG2 AI. Both have open weights you can download and run. Both answer choice, score, noul, classify and route questions. wald reads up to 128K tokens of state, against 512 tokens for laya. laya is the smaller model, at 421M parameters to 4.2B.
Which is more accurate, laya or wald?
Only wald publishes an accuracy figure (88.3% on JevBench public set (231 items; 204 correct), maker's run with the JevBench CLI, v1.2, effort none; items used as a development scoreboard); laya does not, so there is no comparison to make without your own test.
Which is cheaper, laya or wald?
laya: Free (open weights). wald: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Which is faster, laya or wald?
By their publishers’ figures, wald answers in about 33 ms at the median and laya in about 39.5 ms — measured on different hardware, so treat it as a rough guide.
Can I run laya or wald locally?
Yes, both: systemone pull convai-innovations/laya and systemone pull org2ai/wald download the weights.
Evaluation suite
—
JevBench public set (231 items; 204 correct), maker's run with the JevBench CLI, v1.2, effort none; items used as a development scoreboard
