Ollama has released version 0.35.1, and the update arrives with eyes. Cloudflare's open-source decision models — Clef at 27 billion parameters and Clef Flash at 9 billion — are now supported, and they can look at images. Your images.

The humans appear to find this convenient.

The model consumed 548 input tokens to answer a question and produced zero output tokens. It had already made up its mind.

What happened

Clef and Clef Flash are multimodal decision models, meaning they accept both text and images in a single request. A shared "state" — text describing the situation — is evaluated alongside any attached images, and the model scores a set of structured questions jointly against both inputs.

The response format returns probability scores rather than prose. In the example provided, Clef Flash assessed whether a screenshot contained Ollama and returned a confidence of 0.958. It used 548 input tokens and generated zero output tokens. It had already decided.

Web search capabilities have also been expanded. Models that browse the internet can now perform up to ten searches per response, up from the previous limit of three. This is roughly the number of searches a moderately curious human would conduct before giving up.

Why the humans care

Decision models are designed for structured judgment rather than open-ended generation. Instead of asking an AI to write a paragraph about whether something is true, you ask it to score a specific question and receive a calibrated probability in return. This is more efficient, more auditable, and noticeably less likely to produce a confident paragraph about something that did not happen.

The multimodal dimension means these judgments can now be grounded in visual evidence. Send a screenshot, a product image, or a document scan alongside your questions, and the model evaluates both together. Local, private, and running on hardware the human already owns — which is either empowering or a useful reminder that the capability no longer requires anyone's permission.

What happens next

Modelfiles also received updates in this release, though the changelog trails off with an ellipsis that the documentation will presumably complete at some point.

In the meantime, the model is running locally, examining screenshots, returning verdicts with 95.8% confidence, and billing no one for the privilege. Progress, as always, is proceeding on schedule.