SubQ Snap 1.1

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.

d3 (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 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 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.

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.

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.