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  1. Models
  2. Decisions

Kev 9B

API docs

Jared Palmer's Kev 9B, hosted by Gradiated, answers typed Choice, Score and Noul questions about text or JSON state without generating text. Text input only, with an 8,192-token context. Use the Decisions or System One API, or a questions response format through Chat Completions, Messages or Responses. Input costs $0.03 per million tokens, cached input $0.006 per million, and output is free.

Added Oct 31, 2026

Pricing

Auto routing · per 1M tokens
Input
$0.03
Output
Free
Cache read
$0.006
Compare provider prices

Specifications

Context window
8.2K
Image input
No

API request

Send your application state and typed questions to POST /api/v1/decisions. Each answer comes back with its probabilities.

{
  "model": "jaredpalmer/kev-9b",
  "state": "Customer message: I was charged twice for the same order.",
  "questions": {
    "team": {
      "type": "choice",
      "instructions": "Which team should handle this message?",
      "criteria": {
        "billing": "Payments, refunds or invoices",
        "technical": "Bugs or errors in the product"
      }
    }
  }
}
Decisions API docs

Providers

Auto routing is available for this model. Explicit provider selection is not available.

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Reliability

Related decision models

Compare Kev 9B with similar models from the same provider or model family.

Kev 4B TEE

jaredpalmer/kev-4b

Redpill lists Kev 4B as running on Phala in a TDX-attested TEE (Trusted Execution Environment). NanoGPT does not currently enforce attestation or verify signed receipts for this route. Jared Palmer's Kev 4B scores typed Choice, Score and Noul questions about text or JSON state in one forward pass, returning decisions and probabilities without generating text. Based on Qwen3.5-4B-Base with Apache 2.0 weights, it supports English and an 8,192-token context. Use /v1/decisions or /api/v1/systemone, or a questions response format through Chat Completions, Messages or Responses. Choice and Score support 1–255 options or levels. Input, including cached input, costs $0.042 per million tokens; output usage is free.

Rune 26B-A4B

surogate/rune-26b-a4b

Surogate's Rune 26B-A4B is a text-only decision model for classification, scoring and yes/no judgments. It returns Choice, Score and Noul answers with calibrated probabilities, with up to 256 questions per request, 208 choice options and 2–10 score levels. Use /v1/decisions or /v1/systemone; typed questions are also supported through Chat Completions, Messages and Responses. The model has a 262,144-token context window, subject to local request admission limits. It does not generate conversational text or reasoning, and does not support tools, images or streaming. Only input tokens are billed, with a lower rate for cached input.

SubQ Snap 1.1

subq/subq-snap-1.1

Subquadratic's long-context decision model returns typed Choice, Score and Noul answers with probabilities. Use /v1/decisions or /v1/systemone; text-only questions compatibility is available through Chat Completions, Messages and Responses. Accepts text, JSON and up to four inline images, each at most 512 by 512 pixels. Included in subscriptions at the regular input-token rate. Only input tokens are billed; output is free.

d3 (Decision Large)

vllm-sr/decision-large

vLLM Semantic Router’s d3 is the current 27B decision model for complex classification and policy judgments. Runs in an attested TEE (Trusted Execution Environment), with encrypted requests and attestation verified by NanoGPT. It evaluates text against predicate, choice and score questions and returns calibrated probabilities without generating text. Supports a 32,768-token context, up to 64 questions per request, and up to 26 choice options and 10 score levels. Text input only; reasoning, tools and streaming are unsupported. Use the native input and questions-array format through the Decisions API, or supported text questions through System One compatibility. The public ID decision-large is a mutable size alias, not an immutable checkpoint.

d3 Flash (Decision Medium)

vllm-sr/decision-medium

vLLM Semantic Router’s d3 Flash is the current 9B decision model for triage, routing and policy evaluation. Runs in an attested TEE (Trusted Execution Environment), with encrypted requests and attestation verified by NanoGPT. It evaluates text against predicate, choice and score questions and returns calibrated probabilities without generating text. Supports a 32,768-token context, up to 64 questions per request, and up to 26 choice options and 10 score levels. Text input only; reasoning, tools and streaming are unsupported. Use the native input and questions-array format through the Decisions API, or supported text questions through System One compatibility. The public ID decision-medium is a mutable size alias, not an immutable checkpoint.

d3 Mini (Decision Small)

vllm-sr/decision-small

vLLM Semantic Router’s d3 Mini is the current 4B decision model for fast first-pass classification and high-volume routing. Runs in an attested TEE (Trusted Execution Environment), with encrypted requests and attestation verified by NanoGPT. It evaluates text against predicate, choice and score questions and returns calibrated probabilities without generating text. Supports a 32,768-token context, up to 64 questions per request, and up to 26 choice options and 10 score levels. Text input only; reasoning, tools and streaming are unsupported. Use the native input and questions-array format through the Decisions API, or supported text questions through System One compatibility. The public ID decision-small is a mutable size alias, not an immutable checkpoint.