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# Multimodal Decision Model

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  1. Ollama

    Clef stops writing answers word by word: one pass scores every question and returns a probability

    Cloudflare's 27B multimodal decision model Clef is now available on Ollama, running locally or in Ollama's cloud. It takes a state plus a schema of typed questions and, in one pass over text, JSON or images, scores every answer to every question at once instead of generating a response word by word. On Cloudflare's published Jev Decision Index evaluations Clef beats Jev on most benchmarks, but trails it on When2Call and BRIGHT.

  2. Liquid AI

    Decision models stop at right or wrong: d1-ultra trains calibration too, beating Jev 1.14 on accuracy and calibration across 112 evaluations

    Liquid AI released d1-ultra, a multimodal decision model priced at $0.042 per million input tokens on the Liquid API. It targets harder, messier real-world cases such as spotting a defect on a circuit board against its spec or checking a damage claim against a customer photo, and answers three question types: noul, Choice, and Score. Compared with the previous d1 and Jev 1.14 across 112 unique evaluations, d1-ultra delivers higher accuracy and better-calibrated probabilities at the same price, and leads other decision models on the Artificial Analysis Decision Index by at least 8 points.

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