Perceptron: Mk1
perceptron-mk1
Mk1 costs $0.195 per million input tokens and $1.95 per million output tokens, supports 33K context, and is available through the OpenAI-compatible API.
Mk1 is vision-language model for image and video understanding, OCR, document parsing, object detection, counting, spatial localization, and embodied visual reasoning.
Modalities
Text + Image + Video → Text
Input / output price
$0.195 / $1.95 per 1M
Context
33K · max output 8K
Capabilities
Pricing
Billed per token actually used and deducted from your credits.
| Item | USD 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: input $0.195/M · output $1.95/M · cached input $0.0975/M
curl https://api.geniusrelaygpt.com/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "perceptron-mk1", "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.
curl https://api.geniusrelaygpt.com/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "perceptron-mk1",
"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_penaltyseedFAQ
- How is Mk1 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?
- 33K 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.