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.
Invergent's decision model for text and images. A fine-tune of Gemma-4-26B-A4B (about 4B parameters active per token) that answers Choice, Noul and Score questions, with an optional thinking mode for harder questions.
Decides
choice, score, noul, classify, route
choice, score, noul, classify, route
Architecture
laya
rune
Fine-tuned from
answerdotai/modernbert-large
google/gemma-4-26b-a4b-it
License
apache-2.0
apache-2.0
Availability
Open weights
Open weights + hosted API
Hosted by
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Invergent
Input price
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Decision accuracy
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Calibration error
—
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Valid action rate
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Median latency
39.5 ms
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p95 latency
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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 rune?
laya is from Convai Innovations and rune from Surogate (Invergent). laya has open weights you can download and run; rune has open weights and a hosted API. Both answer choice, score, noul, classify and route questions. rune reads up to 262K tokens of state, against 512 tokens for laya. laya is the smaller model, at 421M parameters to 26B.
Which is more accurate, laya or rune?
Neither publishes an accuracy figure. Test both on your own labelled examples.
Which is cheaper, laya or rune?
laya: Free (open weights). rune: Hosted, price not published, or free to self-host. Open weights cost nothing per call beyond your own hardware.
Can I run laya or rune locally?
Yes, both: systemone pull convai-innovations/laya and systemone pull surogate/rune download the weights.
