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GPT-4o MinivsGPT-o3

OpenAI vs OpenAI — Side-by-side model comparison

GPT-4o Mini leads 3/5 categories

Head-to-Head Comparison

MetricGPT-4o MiniGPT-o3
Provider
Arena Rank
#15
#2
Context Window
128K
200K
Input Pricing
$0.15/1M tokens
$2.00/1M tokens
Output Pricing
$0.60/1M tokens
$8.00/1M tokens
Parameters
~8B (est.)
Undisclosed
Open Source
No
No
Best For
Fast responses, cost-efficient tasks, lightweight apps
Advanced reasoning, agentic tasks, research
Release Date
Jul 18, 2024
Apr 16, 2025

GPT-4o Mini

GPT-4o Mini is OpenAI's most affordable model in the GPT-4o family, designed to make advanced AI accessible for high-volume applications. At just $0.15 per million input tokens, it's one of the cheapest frontier-class models available while still delivering strong performance on everyday tasks. The model supports a 128K context window, function calling, JSON mode, and vision capabilities — inheriting key features from its larger sibling. GPT-4o Mini excels at classification, summarization, content generation, and simple reasoning tasks where full GPT-4o performance isn't necessary. It has become one of the most widely used AI models globally, powering millions of applications from chatbots to coding assistants to data processing pipelines.

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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-4o Mini vs GPT-o3

1

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

2

GPT-4o Mini is 13.3x 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-4o Mini

  • +Budget is a concern and you need cost efficiency
  • +Your use case involves fast responses, cost-efficient tasks, lightweight apps
View full GPT-4o Mini specs →
G

When to use GPT-o3

  • +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 advanced reasoning, agentic tasks, research
View full GPT-o3 specs →

Cost Analysis

At current pricing, GPT-4o Mini is 13.3x more affordable than GPT-o3. For a typical enterprise workload processing 100M tokens per month:

GPT-4o Mini monthly cost

$38

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

GPT-o3 monthly cost

$500

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

The Verdict

GPT-4o Mini wins our head-to-head comparison with 3 out of 5 category wins. It's the stronger choice for fast responses, cost-efficient tasks, lightweight apps, though GPT-o3 holds an edge in advanced reasoning, agentic tasks, research.

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

Frequently Asked Questions

Which is better, GPT-4o Mini or GPT-o3?
In our head-to-head comparison, GPT-4o Mini leads in 3 out of 5 categories (arena rank, context window, input pricing, output pricing, and parameters). GPT-4o Mini excels at fast responses, cost-efficient tasks, lightweight apps, while GPT-o3 is better suited for advanced reasoning, agentic tasks, research. The best choice depends on your specific requirements, budget, and use case.
How does GPT-4o Mini pricing compare to GPT-o3?
GPT-4o Mini charges $0.15 per 1M input tokens and $0.60 per 1M output tokens. GPT-o3 charges $2.00 per 1M input tokens and $8.00 per 1M output tokens. GPT-4o Mini is the more affordable option, approximately 13.3x 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-4o Mini and GPT-o3?
GPT-4o Mini 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-4o Mini or GPT-o3 for free?
GPT-4o Mini is a paid API model starting at $0.15 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-4o Mini or GPT-o3?
GPT-4o Mini holds arena rank #15, 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-4o Mini or GPT-o3 better for coding?
GPT-4o Mini's primary strength is fast responses, cost-efficient tasks, lightweight apps. 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.