Perceptron Mk1

PerceptronReasoning

perceptron/perceptron-mk1Closed API

Multimodal reasoning model for visual analysis, planning, and tool use

Benchmark Pricing$0.15 / 1M in$1.50 / 1M out$0.07 cache read

Context: 32,768 tokens•Max Output: 8,192 tokens•Released: 2026-05-12

TECHNICAL SPECIFICATIONS

Context Window32,76832.8K tokens

Max Output8,1928.2K tokens

LicenseProprietaryCloud API only

Input Modalities

TextVisionVideo

Function / Tool CallingNot Supported

Structured OutputsPrompt Based

MODEL CONTEXT PROTOCOL (MCP) READINESS

⚠ Perceptron Mk1 does not natively advertise tool-calling capabilities. When connecting to MCP servers, function calling must be handled via structured prompt injection.

MCP Context Window Recommendations

With a context capacity of 32,768 tokens, this model can handle compact tool sets. Consider keeping MCP server tool manifests minimal to preserve headroom.

API CALL INVOCATION EXAMPLE

// Example: Calling Perceptron Mk1 via OpenAI SDK
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.PERCEPTRON_API_KEY,
});

const response = await client.chat.completions.create({
  model: "perceptron/perceptron-mk1",
  messages: [{ role: "user", content: "Hello! Can you inspect MCP tools?" }],
});

console.log(response.choices[0].message.content);

PRICING BY PROVIDER

3 providers

NanoGPTperceptron/perceptron-mk1

$0.15 / $1.50$0.07 cache

Kilo Gatewayperceptron/perceptron-mk1

$0.15 / $1.50

OpenRouterperceptron/perceptron-mk1

$0.15 / $1.50

Rates in USD per 1M tokens. Rates synchronized from models.dev public catalog.

Prompt Caching Active

This model supports prompt caching at $0.07 / 1M tokens, saving up to 50% on repetitive MCP tool definitions and system instructions.

MODEL RESOURCES

View Perceptron Hub