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GPT-4 TurbovsGPT-o1

OpenAI vs OpenAI — Side-by-side model comparison

Tied — both models win in equal categories

Head-to-Head Comparison

MetricGPT-4 TurboGPT-o1
Provider
Arena Rank
#5
#3
Context Window
128K
200K
Input Pricing
$10.00/1M tokens
$15.00/1M tokens
Output Pricing
$30.00/1M tokens
$60.00/1M tokens
Parameters
Undisclosed
Undisclosed
Open Source
No
No
Best For
Complex tasks, coding, analysis, vision
Complex reasoning, math, science, coding
Release Date
Apr 9, 2024
Dec 17, 2024

GPT-4 Turbo

GPT-4 Turbo is OpenAI's optimized version of GPT-4, offering the same intelligence at a fraction of the cost and with a significantly larger 128K context window. It includes a knowledge cutoff of April 2024 and supports both text and vision inputs. GPT-4 Turbo delivers faster responses than the original GPT-4 while maintaining the same level of reasoning capability, making it ideal for production applications that need high-quality outputs without the latency or cost of the base GPT-4 model.

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GPT-o1

GPT-o1 is OpenAI's first dedicated reasoning model, introducing the concept of 'thinking tokens' where the model reasons through problems step-by-step before generating a response. This approach significantly improves performance on complex mathematics, coding challenges, and scientific reasoning compared to standard language models. With a 200K token context window, o1 can process lengthy technical documents while applying deep reasoning. It excels on competition-level math problems, PhD-level science questions, and complex coding tasks that require careful logical thinking. While slower and more expensive than GPT-4o due to the reasoning overhead, o1 delivers substantially better results on tasks that benefit from deliberate, structured problem-solving rather than quick pattern matching.

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Key Differences: GPT-4 Turbo vs GPT-o1

1

GPT-o1 ranks higher in arena benchmarks (#3) indicating stronger overall performance.

2

GPT-4 Turbo is 1.9x cheaper on average, making it the better choice for high-volume applications.

3

GPT-o1 supports a larger context window (200K), allowing it to process longer documents in a single request.

G

When to use GPT-4 Turbo

  • +Budget is a concern and you need cost efficiency
  • +Your use case involves complex tasks, coding, analysis, vision
View full GPT-4 Turbo specs →
G

When to use GPT-o1

  • +You need the highest quality output based on arena rankings
  • +Quality matters more than cost
  • +You need to process long documents (200K context)
  • +Your use case involves complex reasoning, math, science, coding
View full GPT-o1 specs →

Cost Analysis

At current pricing, GPT-4 Turbo is 1.9x more affordable than GPT-o1. For a typical enterprise workload processing 100M tokens per month:

GPT-4 Turbo monthly cost

$2,000

100M tokens/mo (50/50 in/out)

GPT-o1 monthly cost

$3,750

100M tokens/mo (50/50 in/out)

The Verdict

This is a close matchup. GPT-4 Turbo and GPT-o1 each win in different categories, making the choice highly dependent on your use case. Choose GPT-4 Turbo for complex tasks, coding, analysis, vision. Choose GPT-o1 for complex reasoning, math, science, coding.

Last compared: March 2026 · Data sourced from public benchmarks and official pricing pages

Frequently Asked Questions

Which is better, GPT-4 Turbo or GPT-o1?
GPT-4 Turbo and GPT-o1 are closely matched, each winning in different categories. GPT-4 Turbo excels at complex tasks, coding, analysis, vision, while GPT-o1 is optimized for complex reasoning, math, science, coding. We recommend testing both for your specific use case.
How does GPT-4 Turbo pricing compare to GPT-o1?
GPT-4 Turbo charges $10.00 per 1M input tokens and $30.00 per 1M output tokens. GPT-o1 charges $15.00 per 1M input tokens and $60.00 per 1M output tokens. GPT-4 Turbo is the more affordable option, approximately 1.9x cheaper on average. For high-volume production workloads, the pricing difference can significantly impact total cost of ownership.
What is the context window difference between GPT-4 Turbo and GPT-o1?
GPT-4 Turbo supports a 128K token context window, while GPT-o1 supports 200K tokens. GPT-o1 can process longer documents, codebases, and conversations in a single request. Context window size matters most for tasks involving long documents, large codebases, or extended conversations.
Can I use GPT-4 Turbo or GPT-o1 for free?
GPT-4 Turbo is a paid API model starting at $10.00 per 1M input tokens. GPT-o1 is a paid API model starting at $15.00 per 1M input tokens.
Which model has better benchmarks, GPT-4 Turbo or GPT-o1?
GPT-4 Turbo holds arena rank #5, while GPT-o1 holds rank #3. GPT-o1 performs better in overall arena benchmarks, which aggregate human preference ratings across coding, reasoning, and general tasks. Note that benchmarks don't capture every use case — we recommend testing both models on your specific tasks.
Is GPT-4 Turbo or GPT-o1 better for coding?
GPT-4 Turbo is specifically optimized for coding tasks. GPT-o1 is specifically optimized for coding tasks. For coding specifically, arena rank and code-specific benchmarks are the best indicators of performance.