Explore Decision Models

Browse AI models that answer typed Choice, Score and yes/no questions with calibrated probabilities, for routing, classification and moderation through the API.

Explore Decision Models

Browse AI models that answer typed Choice, Score and yes/no questions with calibrated probabilities, for routing, classification and moderation through the API.

Models

How decision models work

Send your application state and typed questions: a Choice between labels, a Score, or a yes/no answer.
Each answer comes back with calibrated probabilities, ready for routing, classification and moderation logic.
API only: call POST /api/v1/decisions. They cannot be used in chat.

Decisions API docs Get an API key

Example request body

{
  "model": "perplexity/pplx-decider-v1.2",
  "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"
      }
    }
  }
}

PPLX Decider v1.2
Perplexity's 27B decision model, succeeding PPLX Decider v1.1 with the same API contract; requests for perplexity/pplx-decider-v1.1-27b now run on v1.2. Typed Choice, Score and Noul decisions. Use /v1/decisions or /v1/systemone; text-only questions compatibility is available through Chat Completions, Messages and Responses. Accepts inline images through the Perplexity endpoint. The local image limit is four images, each at most 512 by 512 pixels. Input tokens are billed; output is free.
Input
$0.020/M
Output
Free
Context
262.1K
Images
Yes
eu/jev Jeff 1.0.0
Bevel's Winnow-12B fine-tune for Choice, Noul and Score decisions, with inference in Germany. Use /v1/decisions or /v1/systemone, or the typed questions format through Chat Completions, Messages and Responses. Supports text and JSON, eight questions per request, up to 64 Choice options, and 2–10 Score levels. Output is free. The latest ID follows new releases; version 1.0.0 is pinned. USD pricing uses a fixed conversion of the provider's EUR tariff. Personal data requires a DPA with the provider.
Input
$0.042/M
Output
Free
Context
32.8K
Images
No
eu/jev Jeff Latest
Bevel's Winnow-12B fine-tune for Choice, Noul and Score decisions, with inference in Germany. Use /v1/decisions or /v1/systemone, or the typed questions format through Chat Completions, Messages and Responses. Supports text and JSON, eight questions per request, up to 64 Choice options, and 2–10 Score levels. Output is free. The latest ID follows new releases; version 1.0.0 is pinned. USD pricing uses a fixed conversion of the provider's EUR tariff. Personal data requires a DPA with the provider.
Input
$0.042/M
Output
Free
Context
32.8K
Images
No
Jev 1.14
TypeSafe's Jev 1.14 (jev-1.14.0) returns typed decisions for routing, classification, scoring, and yes/no judgments, with improved multilingual performance. Use /v1/decisions, TypeSafe SDK compatibility through /api/v1/systemone, or a questions response format through Chat Completions, Messages, or Responses. Text and JSON input only on this route, with 64k tokens per request and 32k per question. Experimental images, Box localization, and extended context are not enabled.
Input
$0.042/M
Output
Free
Context
64K
Images
No
Clef Omni
Typed Choice, Score and Noul decisions about text, inline images and one PCM16 WAV audio clip up to 10 seconds. Use /v1/decisions or /v1/systemone. Up to four 512x512 images; image and audio bytes share a 512 KiB base64 / 384 KiB decoded limit. Text admission is limited to 1,800 estimated tokens including questions. Video is not enabled. No ZDR, audio moderation or media redaction. Compatibility APIs accept text only. Actual input tokens are billed; output is free.
Input
$0.15/M
Output
Free
Text limit
1.8K
Images
Yes
Kev 4B TEE
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.
Input
$0.042/M
Output
Free
Context
8.2K
Images
No
SubQ Snap Preview
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. Only input tokens are billed; output is free.
Input
$0.050/M
Output
Free
Context
384K
Images
Yes
Clef
Typed Choice, Score and Noul decisions. Use /v1/decisions or /v1/systemone; text-only questions compatibility is available through Chat Completions, Messages and Responses. Accepts inline images. Text admission is limited to 1,800 estimated tokens to avoid truncation; up to four images, each at most 512 by 512 pixels. Input tokens are billed; output is free.
Input
$0.24/M
Output
Free
Text limit
1.8K
Images
Yes
Clef Flash
Typed Choice, Score and Noul decisions. Use /v1/decisions or /v1/systemone; text-only questions compatibility is available through Chat Completions, Messages and Responses. Accepts inline images. Text admission is limited to 1,800 estimated tokens to avoid truncation; up to four images, each at most 512 by 512 pixels. Input tokens are billed; output is free.
Input
$0.090/M
Output
Free
Text limit
1.8K
Images
Yes
GPT-6 Luna Decisions
Typed Choice, Score and Noul decisions about text, JSON or inline images for classification, routing and scoring. Use /v1/decisions or /v1/systemone; text-only questions compatibility is available through Chat Completions, Messages and Responses. Uses OpenAI’s native Decisions API. Input tokens are billed; output is free.
Input
$0.10/M
Output
Free
Context
1.1M
Images
Yes
Liquid D1
Liquid AI's D1 evaluates application state and returns typed Choice, Score and yes/no answers with calibrated probabilities. Use /v1/decisions or /v1/systemone, or a questions response format through Chat Completions, Messages or Responses. It supports a 65,536-token context and generates no text tokens; only input tokens are billed.
Input
$0.040/M
Output
Free
Context
65.5K
Images
No
Decider 0.8B FP8
Mapika's Decider, quantized and hosted by LLM Tech, answers typed Choice, Score and Noul questions about application state. Use /v1/decisions or /v1/systemone, or a questions response format through Chat Completions, Messages or Responses. It returns probabilities and decisions without generating text; only input tokens are billed.
Input
$0.020/M
Output
Free
Context
32.8K
Images
No
Decider 2B FP8
Mapika's Decider, quantized and hosted by LLM Tech, answers typed Choice, Score and Noul questions about application state. Use /v1/decisions or /v1/systemone, or a questions response format through Chat Completions, Messages or Responses. It returns probabilities and decisions without generating text; only input tokens are billed.
Input
$0.030/M
Output
Free
Context
32.8K
Images
No
Decider 4B NVFP4
Mapika's Decider, quantized and hosted by LLM Tech, answers typed Choice, Score and Noul questions about application state. Use /v1/decisions or /v1/systemone, or a questions response format through Chat Completions, Messages or Responses. It returns probabilities and decisions without generating text; only input tokens are billed.
Input
$0.040/M
Output
Free
Context
32.8K
Images
No
Jev 1.13
TypeSafe's Jev 1.13 is a System One decision model for routing, classification, scoring, and other application decision points. Use /v1/decisions directly, point the official TypeSafe SDK at the /api base URL for /api/v1/systemone compatibility, or pass a questions response format through Chat Completions, Messages, or Responses; Jev returns typed answers with calibrated probabilities instead of generated text.
Input
$0.042/M
Output
Free
Context
32K
Images
No
Jev Latest
An alias that routes to the latest TypeSafe Jev System One decision model. Use /v1/decisions directly, point the official TypeSafe SDK at the /api base URL for /api/v1/systemone compatibility, or pass a questions response format through Chat Completions, Messages, or Responses; Jev returns typed answers with calibrated probabilities instead of generated text.
Input
$0.042/M
Output
Free
Context
32K
Images
No

Models

How decision models work

Send your application state and typed questions: a Choice between labels, a Score, or a yes/no answer.
Each answer comes back with calibrated probabilities, ready for routing, classification and moderation logic.
API only: call POST /api/v1/decisions. They cannot be used in chat.

Decisions API docs Get an API key

Example request body

{
  "model": "perplexity/pplx-decider-v1.2",
  "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"
      }
    }
  }
}

PPLX Decider v1.2
Perplexity's 27B decision model, succeeding PPLX Decider v1.1 with the same API contract; requests for perplexity/pplx-decider-v1.1-27b now run on v1.2. Typed Choice, Score and Noul decisions. Use /v1/decisions or /v1/systemone; text-only questions compatibility is available through Chat Completions, Messages and Responses. Accepts inline images through the Perplexity endpoint. The local image limit is four images, each at most 512 by 512 pixels. Input tokens are billed; output is free.
Input
$0.020/M
Output
Free
Context
262.1K
Images
Yes
eu/jev Jeff 1.0.0
Bevel's Winnow-12B fine-tune for Choice, Noul and Score decisions, with inference in Germany. Use /v1/decisions or /v1/systemone, or the typed questions format through Chat Completions, Messages and Responses. Supports text and JSON, eight questions per request, up to 64 Choice options, and 2–10 Score levels. Output is free. The latest ID follows new releases; version 1.0.0 is pinned. USD pricing uses a fixed conversion of the provider's EUR tariff. Personal data requires a DPA with the provider.
Input
$0.042/M
Output
Free
Context
32.8K
Images
No
eu/jev Jeff Latest
Bevel's Winnow-12B fine-tune for Choice, Noul and Score decisions, with inference in Germany. Use /v1/decisions or /v1/systemone, or the typed questions format through Chat Completions, Messages and Responses. Supports text and JSON, eight questions per request, up to 64 Choice options, and 2–10 Score levels. Output is free. The latest ID follows new releases; version 1.0.0 is pinned. USD pricing uses a fixed conversion of the provider's EUR tariff. Personal data requires a DPA with the provider.
Input
$0.042/M
Output
Free
Context
32.8K
Images
No
Jev 1.14
TypeSafe's Jev 1.14 (jev-1.14.0) returns typed decisions for routing, classification, scoring, and yes/no judgments, with improved multilingual performance. Use /v1/decisions, TypeSafe SDK compatibility through /api/v1/systemone, or a questions response format through Chat Completions, Messages, or Responses. Text and JSON input only on this route, with 64k tokens per request and 32k per question. Experimental images, Box localization, and extended context are not enabled.
Input
$0.042/M
Output
Free
Context
64K
Images
No
Clef Omni
Typed Choice, Score and Noul decisions about text, inline images and one PCM16 WAV audio clip up to 10 seconds. Use /v1/decisions or /v1/systemone. Up to four 512x512 images; image and audio bytes share a 512 KiB base64 / 384 KiB decoded limit. Text admission is limited to 1,800 estimated tokens including questions. Video is not enabled. No ZDR, audio moderation or media redaction. Compatibility APIs accept text only. Actual input tokens are billed; output is free.
Input
$0.15/M
Output
Free
Text limit
1.8K
Images
Yes
Kev 4B TEE
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.
Input
$0.042/M
Output
Free
Context
8.2K
Images
No
SubQ Snap Preview
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. Only input tokens are billed; output is free.
Input
$0.050/M
Output
Free
Context
384K
Images
Yes
Clef
Typed Choice, Score and Noul decisions. Use /v1/decisions or /v1/systemone; text-only questions compatibility is available through Chat Completions, Messages and Responses. Accepts inline images. Text admission is limited to 1,800 estimated tokens to avoid truncation; up to four images, each at most 512 by 512 pixels. Input tokens are billed; output is free.
Input
$0.24/M
Output
Free
Text limit
1.8K
Images
Yes
Clef Flash
Typed Choice, Score and Noul decisions. Use /v1/decisions or /v1/systemone; text-only questions compatibility is available through Chat Completions, Messages and Responses. Accepts inline images. Text admission is limited to 1,800 estimated tokens to avoid truncation; up to four images, each at most 512 by 512 pixels. Input tokens are billed; output is free.
Input
$0.090/M
Output
Free
Text limit
1.8K
Images
Yes
GPT-6 Luna Decisions
Typed Choice, Score and Noul decisions about text, JSON or inline images for classification, routing and scoring. Use /v1/decisions or /v1/systemone; text-only questions compatibility is available through Chat Completions, Messages and Responses. Uses OpenAI’s native Decisions API. Input tokens are billed; output is free.
Input
$0.10/M
Output
Free
Context
1.1M
Images
Yes
Liquid D1
Liquid AI's D1 evaluates application state and returns typed Choice, Score and yes/no answers with calibrated probabilities. Use /v1/decisions or /v1/systemone, or a questions response format through Chat Completions, Messages or Responses. It supports a 65,536-token context and generates no text tokens; only input tokens are billed.
Input
$0.040/M
Output
Free
Context
65.5K
Images
No
Decider 0.8B FP8
Mapika's Decider, quantized and hosted by LLM Tech, answers typed Choice, Score and Noul questions about application state. Use /v1/decisions or /v1/systemone, or a questions response format through Chat Completions, Messages or Responses. It returns probabilities and decisions without generating text; only input tokens are billed.
Input
$0.020/M
Output
Free
Context
32.8K
Images
No
Decider 2B FP8
Mapika's Decider, quantized and hosted by LLM Tech, answers typed Choice, Score and Noul questions about application state. Use /v1/decisions or /v1/systemone, or a questions response format through Chat Completions, Messages or Responses. It returns probabilities and decisions without generating text; only input tokens are billed.
Input
$0.030/M
Output
Free
Context
32.8K
Images
No
Decider 4B NVFP4
Mapika's Decider, quantized and hosted by LLM Tech, answers typed Choice, Score and Noul questions about application state. Use /v1/decisions or /v1/systemone, or a questions response format through Chat Completions, Messages or Responses. It returns probabilities and decisions without generating text; only input tokens are billed.
Input
$0.040/M
Output
Free
Context
32.8K
Images
No
Jev 1.13
TypeSafe's Jev 1.13 is a System One decision model for routing, classification, scoring, and other application decision points. Use /v1/decisions directly, point the official TypeSafe SDK at the /api base URL for /api/v1/systemone compatibility, or pass a questions response format through Chat Completions, Messages, or Responses; Jev returns typed answers with calibrated probabilities instead of generated text.
Input
$0.042/M
Output
Free
Context
32K
Images
No
Jev Latest
An alias that routes to the latest TypeSafe Jev System One decision model. Use /v1/decisions directly, point the official TypeSafe SDK at the /api base URL for /api/v1/systemone compatibility, or pass a questions response format through Chat Completions, Messages, or Responses; Jev returns typed answers with calibrated probabilities instead of generated text.
Input
$0.042/M
Output
Free
Context
32K
Images
No