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
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
Mk1.5: 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-mk1.5", "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_penaltyseedFAQ
- 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.