DeepSeek R1 (Full 671B) vs OpenAI o3-mini

Deep comparison of open-weight 671B DeepSeek R1 Full vs OpenAI’s o3-mini: AIME math, hard algorithm coding, all-in cost per million tokens, and production selection tips — so you can get expert-level reasoning at outstanding value.

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 DeepSeek R1 (Full 671B) and OpenAI o3-mini
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: DeepSeek R1 (Full 671B)
print(">>> Output from: DeepSeek R1 (Full 671B)")
query_model("deepseek-r1", "Briefly analyze the trade-offs of this architecture")

# Model 2: OpenAI o3-mini
print(">>> Output from: OpenAI o3-mini")
query_model("o3-mini", "Briefly analyze the trade-offs of this architecture")

FAQ