What is Mk1 API?
Mk1 is available through AIMLAPI.
Technical Specifications
- Supported inputs: Image, Text
- Output: Text
- Context window: 32,768 tokens / Max output: 8,192 tokens
- Endpoint: /chat/completions
Performance Benchmarks
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Mk1 API Pricing
- Input: $0.195 / 1M tokens
- Output: $1.95 / 1M tokens
Where to Use Mk1
Coding and code review
Generate, debug, and review code across languages, reading whole files or repos in a single prompt.
Agentic and multi-step workflows
Reliable tool-calling and instruction-following suit agent loops that plan, call tools, and iterate.
Complex reasoning
Extended reasoning improves reliability on multi-step math, logic, and technical analysis.
Long-document analysis
Summarize and extract from contracts, papers, and reports without aggressive chunking.
Code Sample
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Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.
For manufacturing and industrial work, Mk1 is documented as suited to operational analytics and safety monitoring across factories, construction sites, and warehouses, including detecting product defects, flagging OSHA violations, reading analog instruments, and learning new defect classes from a handful of examples without fine-tuning.
For media and content workflows, Mk1 is documented as suited to semantic visual search, tagging, and policy enforcement at scale, including auto-clipping sports highlights, finding the right shot across film and TV footage, and moderating AI-generated content on social platforms.
For robotics and automation, Mk1 is documented as suited to onboard embodied reasoning for manipulation and navigation, including pointing for grasps, multi-view understanding across cameras, and success detection on task attempts, plus offline curation of teleoperation episodes into structured training data.
For geospatial and critical infrastructure work, Mk1 is documented as suited to satellite, drone, and fixed-camera analysis for utilities, construction, and insurance, including detecting vegetation encroachment on power lines, monitoring oil rig and bridge anomalies, tracking construction progress, and assessing post-disaster damage for claims.
import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "perceptron/perceptron-mk1", "messages": [ { "role": "user", "content": "Hello!" } ] }, ) print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/chat/completions", { method: "POST", headers: { Authorization: `Bearer ${process.env.AIMLAPI_KEY}`, "Content-Type": "application/json", }, body: JSON.stringify({ "model": "perceptron/perceptron-mk1", "messages": [ { "role": "user", "content": "Hello!" } ] }), }); console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/chat/completions \ -H "Authorization: Bearer $AIMLAPI_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"perceptron/perceptron-mk1","messages":[{"role":"user","content":"Hello!"}]}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Input | |
| Output | |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Mk1 This page | Reasoning + agents | |||
| Reasoning + agents | ||||
| Balanced coding + agents | ||||
| Long-context, multimodal & agentic workflows | ||||
| Reasoning + agents |
Mk1 has a 32,768 tokens context window and can return up to 8,192 tokens.
Mk1 takes image, text as input and returns text.
Use perceptron/perceptron-mk1 as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
Mk1 is priced at input $0.20631 / 1M tokens, output $2.0631 / 1M tokens.
Yes, Mk1 can stream responses as they are generated.
Yes, Mk1 accepts image input alongside text.
Mk1 is a chat model that accepts text and image input, supports reasoning, tool calls, structured outputs, and web search.
Yes, reasoning is listed as one of Mk1's supported features and capabilities.
