Anthropic API vs OpenAI API comparison

import os

# Anthropic example
import anthropic
anthropic_client = anthropic.Anthropic(api_key=os.environ["ANTHROPIC_API_KEY"])
anthropic_response = anthropic_client.messages.create(
    model="claude-3-5-sonnet-20241022",
    max_tokens=50,
    system="You are a helpful assistant.",
    messages=[{"role": "user", "content": "Say hello in a friendly way."}]
)
print("Anthropic response:", anthropic_response.content[0].text)

# OpenAI example
from openai import OpenAI
openai_client = OpenAI(api_key=os.environ["OPENAI_API_KEY"])
openai_response = openai_client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Say hello in a friendly way."}]
)
print("OpenAI response:", openai_response.choices[0].message.content)

import os

# Anthropic example with different prompt
import anthropic
client = anthropic.Anthropic(api_key=os.environ["ANTHROPIC_API_KEY"])
response = client.messages.create(
    model="claude-3-5-sonnet-20241022",
    max_tokens=50,
    system="You are a helpful assistant.",
    messages=[{"role": "user", "content": "Explain the benefits of AI in 2 sentences."}]
)
print("Anthropic explanation:", response.content[0].text)

# OpenAI example with system message
from openai import OpenAI
client = OpenAI(api_key=os.environ["OPENAI_API_KEY"])
response = client.chat.completions.create(
    model="gpt-4o",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Explain the benefits of AI in 2 sentences."}
    ]
)
print("OpenAI explanation:", response.choices[0].message.content)