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Perceptron Mk1.5

perceptron-mk1.5

Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.

Context
36.9K tokens
Endpoint

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Pricing

Input$0.15 / 1M
Output$1.50 / 1M
Cache Write (5m)$0.15 / 1M
Cache Write (1h)$0.15 / 1M
Cache Read$0.15 / 1M
Web Search$0 / 1M

Customer audio pricing

USD

Base rates shown at GroupRatio=1. Your account's group multiplier may change the final charge.

/v1/chat/completionsAudio input
RateUSD per unit
InputText$1.5e-7 USD per token
InputAudio$1.5e-7 USD per token
OutputText$0.0000015 USD per token

Applies only to chat requests that send or request audio. Text-only requests are billed at the model's standard token prices. Cached input tokens are charged at the full configured customer input rate.

Actual settled usage is deducted from your Apertis credit quota.

Quick Start

Select an endpoint and copy a working example for this model.

Endpoint
python
from openai import OpenAI client = OpenAI(    api_key="YOUR_API_KEY",    base_url="https://api.apertis.ai/v1") response = client.chat.completions.create(    model="perceptron-mk1.5",    messages=[        {"role": "user", "content": "Hello!"}    ],    max_tokens=1024,    temperature=0.7) print(response.choices[0].message.content) # Optional: Enable context compression to reduce token usage# response = client.chat.completions.create(#     model="perceptron-mk1.5",#     messages=[{"role": "user", "content": "Hello!"}],#     extra_body={"compression": {"enabled": True, "model": "gpt-4.1-mini"}}# )

Supported Parameters

API docs
Common7 params
modelmessagesmax_tokenstemperaturetop_pstreamtools
Extended4 params
reasoning_effortstream_optionsthinkingextra_body

Cursor IDE Model IDs

Use these namespaced identifiers in Cursor IDE to avoid conflicts with built-in models.

perceptron-mk1.5