AI models
Compare text, image, video, decision and robotics models. Read capability and license guides, check API access, and estimate running costs with a calculator.
Models found: 10
Structured decisions
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- Structured decisionsHosted API
Jev 1.13
Jev 1.13 is a TypeSafe AI decision model for turning text into categories, ratings and yes/no probabilities. It fits workflows such as ticket routing, content review and relevance filtering. You use it through a hosted API; its fixed model ID is jev-1.13.0.
- Structured decisionsOpen source
Laya
Laya is an Apache-2.0 open-weight decision-model family from Convai Innovations. It turns text or structured state into choices, scores and yes/no probabilities in a forward pass, instead of generating a chat response. Use it for repeated judgments such as ticket routing or document triage when you want to run inference in your own environment. This guide covers checkpoint selection, local and hosted trials, self-hosting costs and the tradeoffs against TypeSafe Jev.
- Structured decisionsOpen source
CLM-8B
CLM-8B scores candidate actions against a state. Its open-weight reference release, Contrastive-LM/CLM-v0.1-8B, combines a frozen Qwen3-8B encoder with two projection heads under Apache-2.0. It is useful when your application can describe the choices in advance: routing a ticket, selecting a tool, or ranking proposed answers. Reusing candidate embeddings can reduce repeated work; the cost depends on the state, candidate set, cache misses and serving configuration.
- Structured decisionsOpen source
Cloudflare Clef
Clef is Cloudflare Workers AI’s 27B multimodal decision model, with Clef-flash as a 9B low-latency variant. Instead of generating free-form text, both take a state plus typed questions and return probabilities for the allowed answers in one forward pass. Cloudflare hosts them on Workers AI and publishes both sets of weights under Apache 2.0. Clef-omni adds audio and video inputs on a 30B mixture-of-experts backbone at $0.15 per million input tokens. This guide separates hosted token cost from self-hosting cost, compares the two variants with Jev, and shows what to measure before placing a decision model in an agent hot path.
- Structured decisionsHosted API
Liquid d1
Liquid d1 turns text and images into typed decisions with probabilities for routing, classification and rubric scoring. Its paid native d1 route costs $0.02 per million input tokens; d1-ultra costs $0.042. Both have free output and bill each question’s text and supplied images. Choose a hosted route for a first task, or the separate d1-3B and experimental d1-omni-600M checkpoints for local inference.
- Structured decisionsHosted API
OpenAI Decisions API
OpenAI Decisions API turns text, images and JSON into a probability, a category or a rubric score. Use it when your application knows the possible answers: routing a ticket, sorting a queue or flagging a photo for review. It launched in public beta on October 6, 2026 and became generally available on October 22. It uses gpt-6-luna through /v1/decisions, with input-only billing.
- Structured decisionsOpen weights
Perplexity Decider v1.1
Perplexity Decider turns text and images into classification, routing and scoring probabilities. The current native API offers v1.2 at $0.02 per million input tokens and Flash v1.2 at $0.01, with free output. Related questions can share state processing within a billing group. The historical v1.1 Apache 2.0 checkpoint remains a separate self-hosting option.
- Structured decisionsHosted API
Microsoft-Decision-1
Microsoft-Decision-1 scores a fixed set of answers for classification, routing and workflow control. Microsoft post-trained Qwen3.5-9B for single-pass decision scoring. It is available in Microsoft Foundry and listed on OpenRouter through Azure at $0.042 per million input tokens, with free output. Define the allowed actions, then use probabilities to decide whether to act or request review.
- Structured decisionsOpen weights
Decision 3.0
Decision 3.0 is vLLM Semantic Router’s family of open-weight models for bounded decisions. Supply text or JSON, optionally images or video, and define the allowed answers. The model returns probabilities for those answers, so an application can route a request, score a case or ask for review.
- Structured decisionsHosted API
SubQ Snap
SubQ Snap is Subquadratic’s hosted decision model for choosing among answers your application defines. It reads text and images, returns typed answers with probabilities, and supports a 384K-token API window. The public preview costs $0.05 per million input tokens, with free output. Capacity is limited, so new users can be waitlisted.