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GPT-4 TurbovsGPT-o4 Mini

OpenAI vs OpenAI — Side-by-side model comparison

GPT-o4 Mini leads 3/5 categories

Head-to-Head Comparison

MetricGPT-4 TurboGPT-o4 Mini
Provider
Arena Rank
#5
#6
Context Window
128K
200K
Input Pricing
$10.00/1M tokens
$1.10/1M tokens
Output Pricing
$30.00/1M tokens
$4.40/1M tokens
Parameters
Undisclosed
Undisclosed
Open Source
No
No
Best For
Complex tasks, coding, analysis, vision
Affordable reasoning, coding, STEM tasks
Release Date
Apr 9, 2024
Apr 16, 2025

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-o4 Mini

GPT-o4 Mini is OpenAI's most cost-efficient reasoning model, bringing the power of deliberative chain-of-thought reasoning to budget-conscious applications. It uses the same 'thinking tokens' approach as larger o-series models but at a fraction of the cost ($1.10 per million input tokens). The model excels at STEM tasks, coding challenges, and logical reasoning problems where standard language models struggle. With a 200K context window, it can process long technical documents while applying careful step-by-step analysis. O4 Mini represents OpenAI's effort to democratize advanced reasoning capabilities, making them accessible for educational platforms, coding tools, and analytical applications that previously couldn't justify the cost of full reasoning models.

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Key Differences: GPT-4 Turbo vs GPT-o4 Mini

1

GPT-4 Turbo ranks higher in arena benchmarks (#5) indicating stronger overall performance.

2

GPT-o4 Mini is 7.3x cheaper on average, making it the better choice for high-volume applications.

3

GPT-o4 Mini supports a larger context window (200K), allowing it to process longer documents in a single request.

G

When to use GPT-4 Turbo

  • +You need the highest quality output based on arena rankings
  • +Quality matters more than cost
  • +Your use case involves complex tasks, coding, analysis, vision
View full GPT-4 Turbo specs →
G

When to use GPT-o4 Mini

  • +Budget is a concern and you need cost efficiency
  • +You need to process long documents (200K context)
  • +Your use case involves affordable reasoning, coding, stem tasks
View full GPT-o4 Mini specs →

Cost Analysis

At current pricing, GPT-o4 Mini is 7.3x more affordable than GPT-4 Turbo. 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-o4 Mini monthly cost

$275

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

The Verdict

GPT-o4 Mini wins our head-to-head comparison with 3 out of 5 category wins. It's the stronger choice for affordable reasoning, coding, stem tasks, though GPT-4 Turbo holds an edge in complex tasks, coding, analysis, vision.

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

Frequently Asked Questions

Which is better, GPT-4 Turbo or GPT-o4 Mini?
In our head-to-head comparison, GPT-o4 Mini leads in 3 out of 5 categories (arena rank, context window, input pricing, output pricing, and parameters). GPT-o4 Mini excels at affordable reasoning, coding, stem tasks, while GPT-4 Turbo is better suited for complex tasks, coding, analysis, vision. The best choice depends on your specific requirements, budget, and use case.
How does GPT-4 Turbo pricing compare to GPT-o4 Mini?
GPT-4 Turbo charges $10.00 per 1M input tokens and $30.00 per 1M output tokens. GPT-o4 Mini charges $1.10 per 1M input tokens and $4.40 per 1M output tokens. GPT-o4 Mini is the more affordable option, approximately 7.3x 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-o4 Mini?
GPT-4 Turbo supports a 128K token context window, while GPT-o4 Mini supports 200K tokens. GPT-o4 Mini 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-o4 Mini for free?
GPT-4 Turbo is a paid API model starting at $10.00 per 1M input tokens. GPT-o4 Mini is a paid API model starting at $1.10 per 1M input tokens.
Which model has better benchmarks, GPT-4 Turbo or GPT-o4 Mini?
GPT-4 Turbo holds arena rank #5, while GPT-o4 Mini holds rank #6. GPT-4 Turbo 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-o4 Mini better for coding?
GPT-4 Turbo is specifically optimized for coding tasks. GPT-o4 Mini is specifically optimized for coding tasks. For coding specifically, arena rank and code-specific benchmarks are the best indicators of performance.