Comparison Intermediate · 4 min read

OpenAI o1 vs GPT-4o comparison

Q: OpenAI o1 vs GPT-4o comparison

The OpenAI o1 model is optimized for reasoning tasks with strong logical and code understanding, while GPT-4o offers a balanced approach with broader general capabilities and faster response times. Use o1 for complex reasoning and code generation, and GPT-4o for versatile conversational AI with lower latency.

Quick answer

The OpenAI o1 model is optimized for reasoning tasks with strong logical and code understanding, while GPT-4o offers a balanced approach with broader general capabilities and faster response times. Use o1 for complex reasoning and code generation, and GPT-4o for versatile conversational AI with lower latency.

VERDICT

Use OpenAI o1 for advanced reasoning and coding tasks; use GPT-4o for general-purpose chat and faster throughput.

Model	Context window	Speed	Cost/1M tokens	Best for	Free tier
OpenAI o1	8K tokens	Moderate	$0.03	Reasoning, code, logic	Yes
GPT-4o	8K tokens	Fast	$0.015	General chat, versatility	Yes
OpenAI o1	32K tokens (extended)	Slower	$0.12	Long context reasoning	No
GPT-4o	32K tokens (extended)	Faster	$0.06	Long conversations, multimodal	No

Key differences

OpenAI o1 is specialized for reasoning-heavy tasks, including code generation and logical problem solving, with a focus on accuracy over speed. GPT-4o balances general conversational ability with faster response times and broader multimodal support. The cost per token for o1 is roughly double that of GPT-4o, reflecting its specialized capabilities.

Side-by-side example

Both models can solve a reasoning problem, but o1 tends to provide more precise and logically consistent answers.

python

from openai import OpenAI
import os

client = OpenAI(api_key=os.environ["OPENAI_API_KEY"])

prompt = "Explain why the sum of two even numbers is always even."

# Using OpenAI o1
response_o1 = client.chat.completions.create(
    model="o1",
    messages=[{"role": "user", "content": prompt}]
)

# Using GPT-4o
response_gpt4o = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": prompt}]
)

print("o1 response:\n", response_o1.choices[0].message.content)
print("\nGPT-4o response:\n", response_gpt4o.choices[0].message.content)

output

o1 response:
The sum of two even numbers is always even because even numbers are multiples of 2. When you add two multiples of 2, the result is also a multiple of 2, hence even.

GPT-4o response:
Two even numbers added together result in an even number because even numbers are divisible by 2, so their sum remains divisible by 2.

Second equivalent

For code generation, o1 produces more accurate and logically consistent code snippets, while GPT-4o offers faster completions with good quality.

python

code_prompt = "Write a Python function to check if a number is prime."

response_o1_code = client.chat.completions.create(
    model="o1",
    messages=[{"role": "user", "content": code_prompt}]
)

response_gpt4o_code = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": code_prompt}]
)

print("o1 code output:\n", response_o1_code.choices[0].message.content)
print("\nGPT-4o code output:\n", response_gpt4o_code.choices[0].message.content)

output

o1 code output:
def is_prime(n):
    if n <= 1:
        return False
    for i in range(2, int(n**0.5) + 1):
        if n % i == 0:
            return False
    return True

GPT-4o code output:
def is_prime(num):
    if num <= 1:
        return False
    for i in range(2, num):
        if num % i == 0:
            return False
    return True

When to use each

Use OpenAI o1 when your application demands high accuracy in reasoning, code generation, or complex problem solving. Choose GPT-4o for general conversational AI, faster responses, and cost efficiency in broad use cases.

Use case	Recommended model
Complex code generation	OpenAI o1
Logical reasoning tasks	OpenAI o1
General chatbots	GPT-4o
Faster throughput applications	GPT-4o
Long context conversations	GPT-4o (32K) or o1 (32K) depending on accuracy needs

Pricing and access

Both models are accessible via the OpenAI API with free tier usage available. Pricing scales with context length and usage volume.

Option	Free	Paid	API access
OpenAI o1	Yes (limited tokens)	Yes, $0.03 per 1K tokens (8K context)	Yes
GPT-4o	Yes (limited tokens)	Yes, $0.015 per 1K tokens (8K context)	Yes

✅

Key Takeaways

Use OpenAI o1 for tasks requiring precise reasoning and code generation.
GPT-4o offers faster responses and is cost-effective for general conversational AI.
Both models support extended 32K token contexts with higher costs and slower speeds for o1.
Choose based on your application's balance of accuracy, speed, and cost.

Verified 2026-04 · o1, gpt-4o

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