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GPT-4 TurbovsGPT-o3

OpenAI vs OpenAI — Side-by-side model comparison

GPT-o3 leads 4/5 categories

Head-to-Head Comparison

MetricGPT-4 TurboGPT-o3
Provider
Arena Rank
#5
#2
Context Window
128K
200K
Input Pricing
$10.00/1M tokens
$2.00/1M tokens
Output Pricing
$30.00/1M tokens
$8.00/1M tokens
Parameters
Undisclosed
Undisclosed
Open Source
No
No
Best For
Complex tasks, coding, analysis, vision
Advanced reasoning, agentic tasks, research
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-o3

GPT-o3 is OpenAI's most advanced reasoning model, succeeding o1 as the frontier of deliberative AI. It uses an enhanced chain-of-thought approach where the model spends more compute time 'thinking' before responding, dramatically improving performance on complex STEM, mathematical, and logical reasoning tasks. With a 200K token context window and the ability to use tools during reasoning, o3 represents a significant leap in AI problem-solving capabilities. It achieved state-of-the-art results on the ARC-AGI benchmark, demonstrating near-human performance on novel reasoning challenges. The model is particularly strong at multi-step mathematical proofs, complex code debugging, and scientific analysis where careful step-by-step reasoning is essential. Originally priced at a premium, an 80% price reduction in June 2025 made o3 accessible to a much broader range of developers and applications.

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Key Differences: GPT-4 Turbo vs GPT-o3

1

GPT-o3 ranks higher in arena benchmarks (#2) indicating stronger overall performance.

2

GPT-o3 is 4.0x cheaper on average, making it the better choice for high-volume applications.

3

GPT-o3 supports a larger context window (200K), allowing it to process longer documents in a single request.

G

When to use GPT-4 Turbo

  • +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-o3

  • +You need the highest quality output based on arena rankings
  • +Budget is a concern and you need cost efficiency
  • +You need to process long documents (200K context)
  • +Your use case involves advanced reasoning, agentic tasks, research
View full GPT-o3 specs →

Cost Analysis

At current pricing, GPT-o3 is 4.0x 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-o3 monthly cost

$500

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

The Verdict

GPT-o3 wins our head-to-head comparison with 4 out of 5 category wins. It's the stronger choice for advanced reasoning, agentic tasks, research, 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-o3?
In our head-to-head comparison, GPT-o3 leads in 4 out of 5 categories (arena rank, context window, input pricing, output pricing, and parameters). GPT-o3 excels at advanced reasoning, agentic tasks, research, 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-o3?
GPT-4 Turbo charges $10.00 per 1M input tokens and $30.00 per 1M output tokens. GPT-o3 charges $2.00 per 1M input tokens and $8.00 per 1M output tokens. GPT-o3 is the more affordable option, approximately 4.0x 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-o3?
GPT-4 Turbo supports a 128K token context window, while GPT-o3 supports 200K tokens. GPT-o3 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-o3 for free?
GPT-4 Turbo is a paid API model starting at $10.00 per 1M input tokens. GPT-o3 is a paid API model starting at $2.00 per 1M input tokens.
Which model has better benchmarks, GPT-4 Turbo or GPT-o3?
GPT-4 Turbo holds arena rank #5, while GPT-o3 holds rank #2. GPT-o3 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-o3 better for coding?
GPT-4 Turbo is specifically optimized for coding tasks. GPT-o3's primary strength is advanced reasoning, agentic tasks, research. For coding specifically, arena rank and code-specific benchmarks are the best indicators of performance.