perceptron-mk1.5Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.
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Base rates shown at GroupRatio=1. Your account's group multiplier may change the final charge.
/v1/chat/completionsAudio input| Rate | USD 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.
Select an endpoint and copy a working example for this model.
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"}}# )modelmessagesmax_tokenstemperaturetop_pstreamtoolsreasoning_effortstream_optionsthinkingextra_bodyUse these namespaced identifiers in Cursor IDE to avoid conflicts with built-in models.
Perceptron Mk1.5 costs $0.15 per 1M input tokens and $1.50 per 1M output tokens on Apertis.
Perceptron Mk1.5 has a context window of 36.9K tokens.
Perceptron Mk1.5 is developed by Perceptron.
Use the model ID perceptron-mk1.5 to call Perceptron Mk1.5.