TokenRhythm's prefill-only decision model for agent workflows. Built on its NeoHorse-1-4B (a Qwen3.5-4B derivative), it predicts Choice, Noul and Score answers over application-defined options without generating text, with optional single-image input.
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
neohorse
standard-one
Fine-tuned from
tokenrhythm/neohorse-1-4b
mistralai/ministral-3-8b-instruct-2512-bf16
License
apache-2.0
apache-2.0
Availability
Open weights
Open weights + hosted API
Hosted by
—
Standard Thinking
Input price
—
—
Decision accuracy
75.3%
71.1%
Calibration error
—
—
Valid action rate
—
—
Median latency
—
25.8 ms
p95 latency
—
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 neohorse-jev and standard-one?
neohorse-jev is from TokenRhythm and standard-one from Standard Thinking. neohorse-jev has open weights you can download and run; standard-one has open weights and a hosted API. Both answer choice, score, noul, classify and route questions. neohorse-jev is the smaller model, at 4.0B parameters to 8.0B.
Which is more accurate, neohorse-jev or standard-one?
They report on different suites — neohorse-jev 75.3% on JevBench public set (231 items), vLLM, maker's run, standard-one 71.1% on typed-decisions suite, 400 cases / 2,000 decisions (maker's served run, v2) — so the numbers do not rank them. Test both on your own labelled examples.
Which is cheaper, neohorse-jev or standard-one?
neohorse-jev: Free (open weights). standard-one: Hosted, price not published, or free to self-host. Open weights cost nothing per call beyond your own hardware.
Can I run neohorse-jev or standard-one locally?
Yes, both: systemone pull tokenrhythm/neohorse-jev and systemone pull standard-thinking/standard-one download the weights.
41.9 ms
Evaluation suite
JevBench public set (231 items), vLLM, maker's run
