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, and clips.
$0.075
$0.075
$0.75
Throughput is how fast the model writes (tokens per second, higher is better). Time to first token is how long before the answer starts (lower is better).
Share of requests served without a server error. Client errors (4xx) do not count.
Works with the OpenAI SDK pointed at our base URL. Every parameter is in the API reference.
Tokens processed per day on NagaAI.
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, and clips.
On NagaAI, Perceptron Mk1.5 costs $0.075 per 1M input tokens and $0.75 per 1M output tokens. You pay only for what you use, with no subscription.
Perceptron Mk1.5 reads up to 36.9k tokens in one request, counting the prompt and the answer together.
Yes. Perceptron Mk1.5 can call your functions as tools and can answer in a JSON schema you give it.
It takes text, images and audio as input and returns text.
Create an API key, copy the model ID from the top of this page and send requests with the OpenAI or Anthropic SDK pointed at NagaAI. The API section on this page has a ready example.
Not enough throughput data
Not enough TTFT data
Not enough activity data to display a chart
