GPT-4ovsGPT-o3
OpenAI vs OpenAI — Side-by-side model comparison
Head-to-Head Comparison
| Metric | GPT-4o | GPT-o3 |
|---|---|---|
| Provider | ||
| Arena Rank | #2 | #2 |
| Context Window | 128K | 200K |
| Input Pricing | $2.50/1M tokens | $2.00/1M tokens |
| Output Pricing | $10.00/1M tokens | $8.00/1M tokens |
| Parameters | ~200B (est.) | Undisclosed |
| Open Source | No | No |
| Best For | General purpose, coding, analysis | Advanced reasoning, agentic tasks, research |
| Release Date | — | Apr 16, 2025 |
GPT-4o
GPT-4o is OpenAI's flagship multimodal model, capable of processing text, images, and audio in a unified architecture. The 'o' stands for 'omni,' reflecting its ability to seamlessly handle multiple input types. With a 128K token context window and competitive pricing, it strikes an optimal balance between capability and cost-effectiveness. GPT-4o delivers fast response times while maintaining strong performance across coding, analysis, creative writing, and visual understanding tasks. It powers ChatGPT's default experience and is one of the most widely deployed AI models globally, serving millions of API calls daily. The model supports function calling, JSON mode, and structured outputs, making it highly versatile for production applications. Its combination of speed, quality, and multimodal capabilities makes it the go-to choice for most general-purpose AI applications.
View OpenAI profile →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 →Key Differences: GPT-4o vs GPT-o3
GPT-o3 is 1.3x cheaper on average, making it the better choice for high-volume applications.
GPT-o3 supports a larger context window (200K), allowing it to process longer documents in a single request.
When to use GPT-4o
- +Quality matters more than cost
- +Your use case involves general purpose, coding, analysis
When to use GPT-o3
- +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
Cost Analysis
At current pricing, GPT-o3 is 1.3x more affordable than GPT-4o. For a typical enterprise workload processing 100M tokens per month:
GPT-4o monthly cost
$625
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 3 out of 5 category wins. It's the stronger choice for advanced reasoning, agentic tasks, research, though GPT-4o holds an edge in general purpose, coding, analysis.
Last compared: March 2026 · Data sourced from public benchmarks and official pricing pages