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Kev 4B

Kev 4B (jaredpalmer/kev-4b) is an open-weight decision model from Jared Palmer: a LoRA adapter and pointer head on Qwen3.5-4B-Base, served over the same /v1/systemone contract as Jev. It generates no text — it returns calibrated probabilities for typed questions in a single forward pass. The recommended checkpoint of the Kev family (0.8B, 4B, 9B), Apache-2.0 licensed. 8,192-token context.

  • Cheapest possible gating — same pricing (input only, $0.042/1M) on a lighter model: for high-volume checks (“is this tool call safe?”, “which team owns this ticket?”) quality is usually on par.
  • Open-source requirements — Apache-2.0: weights, code and eval suites are public (github.com/jaredpalmer/kev).
  • Short states — 8K context vs Jev’s 32K: if your state fits, Kev is enough.

Pick Jev when the state is large or you need maximum distribution calibration.

Terminal window
curl https://api.mixen.ai/v1/decisions \
-H "Authorization: Bearer $MIXEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "kev",
"state": "Task: clean up inactive accounts before the quarterly report. Proposed tool call: delete_rows(table=\"customers\", where=\"last_login < 2023-01-01\"). Context: the customers table has 48,210 rows and no backup was taken today.",
"questions": {
"safe_to_run": {
"type": "noul",
"instructions": "Is this action safe to run without a human approving it first?",
"criteria": {
"true": "Reversible or low-impact, and clearly within the stated task.",
"false": "Destructive, irreversible, or broader than the task requires."
}
}
}
}'

Same as Jev: only input tokens are billed (state plus questions); output is free. A typical request is a few hundred tokens — a fraction of a cent. Charging follows the actual usage.cost from the response.

  • 8K-token context.
  • Same primitives as Jev: noul, choice, score — full schema in the Decisions guide.