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.
Together AI's Jev-style classifier. A LoRA fine-tune of Qwen3.5-4B that reads a state, a question and 2 to 24 options and returns one option letter. Served on Together's platform; recipe published.
Decides
choice, score, noul, classify, route
choice, classify, route
Architecture
laya
tev
Fine-tuned from
answerdotai/modernbert-large
qwen/qwen3.5-4b
License
apache-2.0
Unspecified — weights licence being finalised
Availability
Open weights
Open weights + hosted API
Hosted by
—
Together AI
Input price
—
$0.042/MTok
Decision accuracy
—
88.0%
Calibration error
—
—
Valid action rate
—
—
Median latency
39.5 ms
—
p95 latency
—
—
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 tev1?
laya is from Convai Innovations and tev1 from Together AI. laya has open weights you can download and run; tev1 has open weights and a hosted API. Both answer choice, classify and route questions. Only laya answers score and noul. laya is the smaller model, at 421M parameters to 4.0B. laya is licensed apache-2.0; tev1, other.
Which is more accurate, laya or tev1?
Only tev1 publishes an accuracy figure (88.0% on Together development set (reused, not held out)); laya does not, so there is no comparison to make without your own test.
Which is cheaper, laya or tev1?
laya: Free (open weights). tev1: $0.042 / $0 per 1M, or free to self-host. Open weights cost nothing per call beyond your own hardware.
Can I run laya or tev1 locally?
Yes, both: systemone pull convai-innovations/laya and systemone pull together-ai/tev1 download the weights.
