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HEAD TO HEAD
SAGEA: mira and MachineFi: trio-spark-v1, compared on what they decide, where they run, what they cost and what their publishers report.
| Property | sagea/mira | machinefi/trio-spark-v1 |
|---|---|---|
| Summary | Small open typed-decision model with calibrated probabilities, first-class Nepali coverage. | A Situated World Model for fast judgment in agent loops. |
| Decides | choice, score, noul, classify, route | choice, route, classify |
| Architecture | mira | trio-spark |
| Fine-tuned from | jhu-clsp/mmbert-small | — |
| License | apache-2.0 | proprietary |
| Availability | Open weights | Hosted API |
| Hosted by | — | MachineFi |
| Input price | — | $0.042/MTok |
| 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 | 0.1.4 | 1.0.1 |
| Variants | — | — |
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.
mira is from SAGEA and trio-spark-v1 from MachineFi. mira has open weights you can download and run; trio-spark-v1 is only available as a hosted API. Both answer choice, classify and route questions. Only mira answers score and noul. mira is licensed apache-2.0; trio-spark-v1, proprietary.
Only mira publishes an accuracy figure (74.5% on s1-decision-bench); trio-spark-v1 does not, so there is no comparison to make without your own test.
mira: Free (open weights). trio-spark-v1: $0.042 / $0 per 1M. Open weights cost nothing per call beyond your own hardware.
mira yes — systemone pull sagea/mira downloads its weights. The other is only served as a hosted API.
| Size of latest version | 568.9 MB | — |
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| Files | 13 | 0 |
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| Downloads | 7 | 0 |
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| Stars | 1 | 0 |
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| Tags | routing, nepali, nepal, calibration, cpu | agents, decision-model, situated-world-model, routing |
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| Updated | Oct 1, 2026 | Sep 30, 2026 |
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