Skip to main content
← Back to Models
⚖️

GPT-o3vsGPT-4 Turbo

OpenAI vs OpenAI — Side-by-side model comparison

GPT-o3 leads 4/5 categories

Head-to-Head Comparison

MetricGPT-o3GPT-4 Turbo
Provider
Arena Rank
#2
#5
Context Window
200K
128K
Input Pricing
$2.00/1M tokens
$10.00/1M tokens
Output Pricing
$8.00/1M tokens
$30.00/1M tokens
Parameters
Undisclosed
Undisclosed
Open Source
No
No
Best For
Advanced reasoning, agentic tasks, research
Complex tasks, coding, analysis, vision
Release Date
Apr 16, 2025
Apr 9, 2024

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.

View OpenAI profile →

GPT-4 Turbo

GPT-4 Turbo, developed by OpenAI, is an optimized variant of GPT-4 with a 128K token context window and vision capabilities for processing both text and images. The model excels at complex coding, analysis, creative writing, and multi-step reasoning tasks. GPT-4 Turbo introduced a knowledge cutoff update and substantial pricing reductions compared to the original GPT-4, democratizing access to frontier-class AI. It supports function calling, JSON mode, and reproducible outputs through seed parameters. Priced at $10.00 per million input tokens and $30.00 per million output tokens, it serves as a reliable workhorse for demanding enterprise applications. GPT-4 Turbo ranks #5 on the Chatbot Arena leaderboard, maintaining strong competitive positioning among the most capable commercial language models available through any provider.

View OpenAI profile →

Key Differences: GPT-o3 vs GPT-4 Turbo

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-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 →
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 →

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-o3 monthly cost

$500

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

GPT-4 Turbo monthly cost

$2,000

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: April 2026 · Data sourced from public benchmarks and official pricing pages

Frequently Asked Questions

Which is better, GPT-o3 or GPT-4 Turbo?
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-o3 pricing compare to GPT-4 Turbo?
GPT-o3 charges $2.00 per 1M input tokens and $8.00 per 1M output tokens. GPT-4 Turbo charges $10.00 per 1M input tokens and $30.00 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-o3 and GPT-4 Turbo?
GPT-o3 supports a 200K token context window, while GPT-4 Turbo supports 128K 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-o3 or GPT-4 Turbo for free?
GPT-o3 is a paid API model starting at $2.00 per 1M input tokens. GPT-4 Turbo is a paid API model starting at $10.00 per 1M input tokens.
Which model has better benchmarks, GPT-o3 or GPT-4 Turbo?
GPT-o3 holds arena rank #2, while GPT-4 Turbo holds rank #5. 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-o3 or GPT-4 Turbo better for coding?
GPT-o3's primary strength is advanced reasoning, agentic tasks, research. GPT-4 Turbo is specifically optimized for coding tasks. For coding specifically, arena rank and code-specific benchmarks are the best indicators of performance.