MicrosoftChat

Phi-3.5 Mini 128K Instruct

phi-3.5-mini-128k-instruct

Phi-3.5 Mini 128K Instruct by Microsoft.

Context: 131.1K tokens
Endpoint

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Pricing

Input$0.03 / 1M

Output$0.09 / 1M

Cache Write (5m)$0.03 / 1M

Cache Write (1h)$0.03 / 1M

Cache Read$0.03 / 1M

Web Search$0 / 1M

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="phi-3.5-mini-128k-instruct",    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="phi-3.5-mini-128k-instruct",#     messages=[{"role": "user", "content": "Hello!"}],#     extra_body={"compression": {"enabled": True, "model": "gpt-4.1-mini"}}# )