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.
Standard Thinking's decision model. Ministral 3 8B with a merged LoRA, served through stock SGLang and an open jev-adapter that exposes /v1/systemone and scores the supplied options in one forward pass with per-type temperatures.
Decides
choice, score, noul, classify, route
choice, score, noul, classify, route
Architecture
rune
standard-one
Fine-tuned from
google/gemma-4-26b-a4b-it
mistralai/ministral-3-8b-instruct-2512-bf16
License
apache-2.0
apache-2.0
Availability
Open weights + hosted API
Open weights + hosted API
Hosted by
Invergent
Standard Thinking
Input price
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—
Decision accuracy
—
71.1%
Calibration error
—
—
Valid action rate
—
—
Median latency
—
25.8 ms
p95 latency
—
41.9 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 rune and standard-one?
rune is from Surogate (Invergent) and standard-one from Standard Thinking. Both have open weights and a hosted API. Both answer choice, score, noul, classify and route questions. rune reads up to 262K tokens of state, against 8K tokens for standard-one. standard-one is the smaller model, at 8.0B parameters to 26B.
Which is more accurate, rune or standard-one?
Only standard-one publishes an accuracy figure (71.1% on typed-decisions suite, 400 cases / 2,000 decisions (maker's served run, v2)); rune does not, so there is no comparison to make without your own test.
Which is cheaper, rune or standard-one?
rune: Hosted, price not published, or free to self-host. standard-one: Hosted, price not published, or free to self-host. Open weights cost nothing per call beyond your own hardware.
Can I run rune or standard-one locally?
Yes, both: systemone pull surogate/rune and systemone pull standard-thinking/standard-one download the weights.
