Perceptron Mk1.5
About this model
Perceptron Mk1.5 is an AI model from Perceptron, made available through the API on September 25, 2026. It can read up to 36,864 tokens in one request, roughly 69 pages of text, and write up to 8,192 tokens in a single answer. Besides text, it accepts images, video and audio as input.
Through the API it costs $0.15 per million input tokens and $1.50 per million output tokens. Its pricing sits in the middle of the market.
It supports extended reasoning: it can "think" step by step before answering, which helps on maths, code and complex questions. It can call tools and functions, so developers can connect it to search, databases or other software.
Quality scores
Rankings →Not rated yet. Independent test results usually appear a few weeks after a model is released.
Where to use it
Companies that serve this model through an API: 1. Prices per million tokens, cheapest first.
Availability and prices come from OpenRouter’s public API and are refreshed daily. Uptime is the share of successful requests over the last 24 hours. Some providers run a compressed version of open models (fp8, int4), which is cheaper but can be slightly less accurate.
Use it in your code
Call Perceptron Mk1.5 through OpenRouter’s OpenAI-compatible API: create a key on openrouter.ai, then run one of these examples.
curl https://openrouter.ai/api/v1/chat/completions \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "perceptron/perceptron-mk1.5", "messages": [{"role": "user", "content": "Hello! What can you do?"}]}'import os
from openai import OpenAI
client = OpenAI(base_url="https://openrouter.ai/api/v1", api_key=os.environ["OPENROUTER_API_KEY"])
reply = client.chat.completions.create(
model="perceptron/perceptron-mk1.5",
messages=[{"role": "user", "content": "Hello! What can you do?"}],
)
print(reply.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://openrouter.ai/api/v1", apiKey: process.env.OPENROUTER_API_KEY });
const reply = await client.chat.completions.create({
model: "perceptron/perceptron-mk1.5",
messages: [{ role: "user", content: "Hello! What can you do?" }],
});
console.log(reply.choices[0].message.content);The same code works with every model on this site: only the model ID changes. Many labs also offer their own API and SDK.
What it costs in practice
- 1,000 chat replies$0.525
- Summarise a 100-page document$0.009
- An app with 10,000 requests a day for a month$225
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Frequently asked questions
- How much does Perceptron Mk1.5 cost?
- Perceptron Mk1.5 costs $0.15 per million input tokens and $1.50 per million output tokens through the API. For example, 1,000 chat replies of about 500 tokens in and 300 out cost around $0.525.
- What is the context window of Perceptron Mk1.5?
- Perceptron Mk1.5 can read up to 36,864 tokens in one request, about 69 pages of text. It can write up to 8,192 tokens in a single answer.
- Is Perceptron Mk1.5 open source?
- No. Perceptron Mk1.5 is a closed model: its weights are not published, so you use it through Perceptron’s own apps and API, or through cloud providers.
- Who makes Perceptron Mk1.5?
- Perceptron Mk1.5 is made by Perceptron. It became available through the API on September 25, 2026.
- Can Perceptron Mk1.5 read images?
- Yes. Besides text, it accepts images, video and audio as input.
- What are the alternatives to Perceptron Mk1.5?
- Models with a similar price from other companies include Qwen3.8 Omni Flash, GLM 5.3 Flash and Mistral Small 4. You can compare them side by side on this page.