Liquid AI brings image input to its d1 decision model

Liquid AI announced image support for d1, its decision model, in a post dated Oct. 5, 2026. The update follows what the company describes as an experimental text release the previous week. Instead of writing an answer, d1 returns probabilities for structured choices.

A developer can ask whether a circuit board has a defect, choose among labels or request a score on a scale. Liquid AI says d1 processes text, images or both in one forward pass. Its quoted response time of 200–300 milliseconds applies to text decisions.

The post lists image-capable d1 as available through Liquid AI’s API, with pictures submitted as base64 data URLs. It also lists d1 on Vercel and OpenRouter, but says those integrations are text-only, with vision still to come.

Billing is based on input tokens, including images, with no output-token charge. A 1024×1024 image counts as 1,536 tokens. Asking several questions in one request does not make the image a one-time charge: Liquid AI says each question is billed as its own prompt, including its text and all images.

One demonstration uses the public VisA dataset to sort circuit boards, candles, cashews and chewing gum into good and defective items. Liquid AI reports 85–97% accuracy. Its methodology says every model was shown a good part from the same production line alongside the item being inspected.

Across six applications, Liquid AI says d1 matched or beat GPT-6.1 Sol on four, cost 19 to 200 times less than both GPT-6.1 Sol and Claude Opus 5.5, and ran faster on every task.

Those are results from the company’s own limited comparison: each application ran once per model on Oct. 5. The chat models used their default reasoning settings, and costs used list prices without prompt-cache discounts. The figures describe those runs, not a broad test of reliability across repeated use.