Liquid AI's first decision model, served only through the Liquid API. Returns Choice, Score and Noul answers with probability distributions and zero output tokens, on the /v1/systemone request shape used by TypeSafe's SDK.
Small open typed-decision model with calibrated probabilities, first-class Nepali coverage.
Decides
choice, score, noul, classify, route
choice, score, noul, classify, route
Architecture
d1
mira
Fine-tuned from
—
jhu-clsp/mmbert-small
License
proprietary
apache-2.0
Availability
Hosted API
Open weights
Hosted by
Liquid AI
—
Input price
—
—
Decision accuracy
—
74.5%
Calibration error
—
0.025
Valid action rate
—
100.0%
Median latency
—
30 ms
p95 latency
—
43 ms
Evaluation suite
—
s1-decision-bench
Latest version
2026.09
0.1.4
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 d1 and mira?
d1 is from Liquid AI and mira from SAGEA. d1 is only available as a hosted API; mira has open weights you can download and run. Both answer choice, score, noul, classify and route questions. d1 is licensed proprietary; mira, apache-2.0.
Which is more accurate, d1 or mira?
Only mira publishes an accuracy figure (74.5% on s1-decision-bench); d1 does not, so there is no comparison to make without your own test.
Which is cheaper, d1 or mira?
d1: Hosted, price not published. mira: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run d1 or mira locally?
mira yes — systemone pull sagea/mira downloads its weights. The other is only served as a hosted API.