FLock.io's typed-decision model, fine-tuned from Mapika's decider-2b. Reads one hidden state per question and scores the declared options, so an answer outside the list cannot occur; several questions about one state share a forward pass.
A Situated World Model for fast judgment in agent loops.
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 this-that-model and trio-spark-v1?
this-that-model is from FLock.io and trio-spark-v1 from MachineFi. this-that-model has open weights you can download and run; trio-spark-v1 is only available as a hosted API. Both answer choice questions. Only this-that-model answers score and noul. Only trio-spark-v1 answers route and classify. this-that-model is licensed mit; trio-spark-v1, proprietary.
Which is more accurate, this-that-model or trio-spark-v1?
Only this-that-model publishes an accuracy figure (87.8% on limberc/this-that-complex-decisions (1,710 questions, FLock's benchmark)); trio-spark-v1 does not, so there is no comparison to make without your own test.
Which is cheaper, this-that-model or trio-spark-v1?
this-that-model: Free (open weights). trio-spark-v1: $0.042 / $0 per 1M. Open weights cost nothing per call beyond your own hardware.
Can I run this-that-model or trio-spark-v1 locally?
this-that-model yes — systemone pull flock-io/this-that-model downloads its weights. The other is only served as a hosted API.
