Perceptron Mk1.5
by PerceptronReleased Sep 25, 2026
perceptron/perceptron-mk1.5- Reads images
- Hears audio
- Calls tools
- Answers in a JSON schema
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,...
- Input / 1M tokens
- $0.18
- Output / 1M tokens
- $1.80
- Context
- 37K
- Longest answer
- 8K
What it costs
What each call is charged to the token's AI credit.
| Billed for | You pay |
|---|---|
| Input tokens | $0.18 / 1M |
| Output tokens | $1.80 / 1M |
A typical call
A short chat turn: 2,000 tokens in, 500 out.
- per call
- $0.0013
- calls per $20
- 16K
What it can do
From its listing. The router passes every field through.
- Reads imagesYes
- Reads files and PDFsNo
- Hears audioYes
- Calls toolsYes
- Answers in a JSON schemaYes
- Reasons before it answersYes
- Searches the webNo
- Caches long promptsNo
- Draws imagesNo
Call it
Any router key works, in the format your SDK already speaks.
import OpenAI from "openai";const ai = new OpenAI({ baseURL: "https://relayfor.si/api/v1", apiKey: process.env.RELAYFOR_ROUTER_KEY,});const reply = await ai.chat.completions.create({ model: "perceptron/perceptron-mk1.5", messages: [{ role: "user", content: "Welcome the 1,000th holder in one line." }],});Specifications
What its maker and providers list for it.
- Reads
- Text, Images, Video, and Audio
- Writes
- Text
- Context
- 36,864 tokens
- Longest answer
- 8,192 tokens
- Reasoning effort
- none to high
- Released
- Sep 25, 2026
- Moderation
- None
Request fields
The fields its providers accept, passed through as you send them.
- frequency_penalty
- include_reasoning
- max_tokens
- presence_penalty
- reasoning
- reasoning_effort
- structured_outputs
- temperature
- tool_choice
- tools
- top_k
- top_p
Questions
How much does Perceptron Mk1.5 cost?
$0.18 per million input tokens and $1.80 per million output tokens, paid from the token's AI credit. A call of 2,000 tokens in and 500 out costs about $0.0013.
How do I call Perceptron Mk1.5?
Make a router key for one of your tokens on the dashboard, point any OpenAI or Anthropic SDK at https://relayfor.si/api/v1 and send the model id perceptron/perceptron-mk1.5. The token's AI credit pays for each call.
How long a prompt can Perceptron Mk1.5 take?
Up to 36,864 tokens of context, and up to 8,192 tokens in one answer.
Are my prompts stored?
No. The RFS Router passes each call through and keeps only its token counts and cost, for the token's usage page.
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