Perceptron: Mk1.5

perceptron-mk1.5

Mk1.5 costs $0.195 per million input tokens and $1.95 per million output tokens, supports 37K context, and is available through the OpenAI-compatible API.

Mk1.5 is a multimodal reasoning model for visual analysis and physical agents. It accepts text, images, video, and audio, supports tool calling and structured output, and can return spatial annotations such as points, boxes, polygons, and tracks.

Modalities

Text + Image + Video + Audio → Text

Input / output price

$0.195 / $1.95 per 1M

Context

37K · max output 8K

Capabilities

ReasoningVisionTool calling

Pricing

Billed per token actually used and deducted from your credits.

ItemUSD per 1M tokens
Input$0.195
Output$1.95
Cached input$0.0975

Calculator

Drag the sliders to estimate what this model will cost.

Per request
$0.00215
Per day
$1.07
Per month (30 days)
$32.17

Mk1.5: input $0.195/M · output $1.95/M · cached input $0.0975/M

Request with these settings
curl https://api.geniusrelaygpt.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "perceptron-mk1.5", "max_tokens": 800,
       "messages": [{"role": "user", "content": "…"}]}'

Code samples

OpenAI-compatible. Set the base URL to https://api.geniusrelaygpt.com/v1 and the model to perceptron-mk1.5.

curl https://api.geniusrelaygpt.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "perceptron-mk1.5",
    "stream": true,
    "messages": [{"role": "user", "content": "Hello"}]
  }'

Use it in a client: Cursor · Cline · SillyTavern · Codex

Parameters

Common OpenAI parameters can be passed as-is.

temperaturetop_pmax_tokensstreamstoppresence_penaltyfrequency_penaltyseed

FAQ

How is Mk1.5 billed?
Input is $0.195 and output is $1.95 per million tokens; cached input is $0.0975. The charge for every request is listed in Usage Logs in the console.
How long is the context window?
37K tokens. In a long conversation every turn is billed for the full input, so keep the history under control.
Does it support streaming?
Yes. Add "stream": true to the request to receive server-sent events in the OpenAI format.
Mk1.5 API pricing · GeniusRelay