Perceptron Mk1.5 is Perceptron's embodied reasoning model for physical agents. It accepts text, image, video, and audio input, and answers with text plus optional structured annotations: points, boxes, polygons, tracks,...
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Among the 441 chat models on CoreAI, Perceptron: Perceptron Mk1.5 ranks #414 by context window — 37K tokens, roughly 27,648 words or 55 pages of text in a single conversation. On price, it is the #3 cheapest of 205 standard-tier models by input cost. Released 2026-09-25, it is one of the 2 newest additions to the catalog. It supports step-by-step reasoning (thinking mode) and accepts image input.
Every model in this table is available on CoreAI — open the web app and run the same prompt through Perceptron: Perceptron Mk1.5 and Perceptron: Perceptron Mk1 side by side to judge with your own eyes.
A typical question (about 1,000 tokens in, 500 out) runs $0.00090 on Perceptron: Perceptron Mk1.5's raw per-token rates; a heavy session with a 50K-token document costs about $0.015. On CoreAI you don't juggle these numbers — one subscription covers Perceptron: Perceptron Mk1.5 and 300+ other models under a plan usage limit, with no API keys. See plans.
Perceptron: Perceptron Mk1.5 handles 37K tokens of context — roughly 27,648 words, or about 55 pages of text in one conversation.
Perceptron: Perceptron Mk1.5's underlying rates are $0.15 per 1M input tokens and $1.5 per 1M output tokens. On CoreAI it is included in one subscription alongside 300+ models, so there is no per-token billing to manage.
Yes — Perceptron: Perceptron Mk1.5 accepts image input, so you can attach screenshots, photos or diagrams and ask questions about them.
Yes. Perceptron: Perceptron Mk1.5 can work through problems step by step before answering; on CoreAI you can toggle thinking mode per message.
Open the CoreAI web app or the iOS/Android app, pick Perceptron: Perceptron Mk1.5 in the model selector, and chat — no API key, no per-token billing. One subscription covers Perceptron: Perceptron Mk1.5 and 300+ other models.
The closest alternatives on CoreAI are Perceptron: Perceptron Mk1, DeepSeek: R1, IBM: Granite 4.0 Micro — similar tier and capability. The fastest way to choose is running one prompt through them side by side in CoreAI's Compare view.
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