Claude 3.7 Sonnet vs GPT-4o (Omni)

In-depth head-to-head of Anthropic flagship Claude 3.7 Sonnet vs OpenAI flagship GPT-4o: real per-million-token pricing, Hybrid Thinking billing, SWE-bench coding scores, multimodal chart understanding, and Cursor IDE selection guidance — so you can pick the strongest coding model for production.

Official benchmarks

Scenario recommendations

One Base URL and API key — switch models with the model parameter only:

import os
from openai import OpenAI

# One CallAI key — route freely between Claude 3.7 Sonnet and GPT-4o (Omni)
client = OpenAI(
    api_key="sk-live-your-callai-key",
    base_url="https://api.callaiapi.com/v1"
)

def query_model(model_id: str, prompt: str):
    response = client.chat.completions.create(
        model=model_id,
        messages=[{"role": "user", "content": prompt}],
        stream=True
    )
    for chunk in response:
        print(chunk.choices[0].delta.content or "", end="", flush=True)
    print("\n" + "="*40 + "\n")

# Model 1: Claude 3.7 Sonnet
print(">>> Output from: Claude 3.7 Sonnet")
query_model("claude-3-7-sonnet", "Briefly analyze the trade-offs of this architecture")

# Model 2: GPT-4o (Omni)
print(">>> Output from: GPT-4o (Omni)")
query_model("gpt-4o", "Briefly analyze the trade-offs of this architecture")

FAQ