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.
A Situated World Model for fast judgment in agent loops.
Decides
choice, score, noul, classify, route
choice, route, classify
Architecture
rune
trio-spark
Fine-tuned from
google/gemma-4-26b-a4b-it
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License
apache-2.0
proprietary
Availability
Open weights + hosted API
Hosted API
Hosted by
Invergent
MachineFi
Input price
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$0.042/MTok
Decision accuracy
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Calibration error
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Valid action rate
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Median latency
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p95 latency
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Evaluation suite
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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 rune and trio-spark-v1?
rune is from Surogate (Invergent) and trio-spark-v1 from MachineFi. rune has open weights and a hosted API; trio-spark-v1 is only available as a hosted API. Both answer choice, classify and route questions. Only rune answers score and noul. rune reads up to 262K tokens of state, against 1K tokens for trio-spark-v1. rune is licensed apache-2.0; trio-spark-v1, proprietary.
Which is more accurate, rune or trio-spark-v1?
Neither publishes an accuracy figure. Test both on your own labelled examples.
Which is cheaper, rune or trio-spark-v1?
rune: Hosted, price not published, or free to self-host. trio-spark-v1: $0.042 / $0 per 1M. Open weights cost nothing per call beyond your own hardware.
Can I run rune or trio-spark-v1 locally?
rune yes — systemone pull surogate/rune downloads its weights. The other is only served as a hosted API.
