GPT-4ovsGPT-o1
OpenAI vs OpenAI — Side-by-side model comparison
Head-to-Head Comparison
| Metric | GPT-4o | GPT-o1 |
|---|---|---|
| Provider | ||
| Arena Rank | #2 | #3 |
| Context Window | 128K | 200K |
| Input Pricing | $2.50/1M tokens | $15.00/1M tokens |
| Output Pricing | $10.00/1M tokens | $60.00/1M tokens |
| Parameters | ~200B (est.) | Undisclosed |
| Open Source | No | No |
| Best For | General purpose, coding, analysis | Complex reasoning, math, science, coding |
| Release Date | — | Dec 17, 2024 |
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-o1
GPT-o1 is OpenAI's first dedicated reasoning model, introducing the concept of 'thinking tokens' where the model reasons through problems step-by-step before generating a response. This approach significantly improves performance on complex mathematics, coding challenges, and scientific reasoning compared to standard language models. With a 200K token context window, o1 can process lengthy technical documents while applying deep reasoning. It excels on competition-level math problems, PhD-level science questions, and complex coding tasks that require careful logical thinking. While slower and more expensive than GPT-4o due to the reasoning overhead, o1 delivers substantially better results on tasks that benefit from deliberate, structured problem-solving rather than quick pattern matching.
View OpenAI profile →Key Differences: GPT-4o vs GPT-o1
GPT-4o ranks higher in arena benchmarks (#2) indicating stronger overall performance.
GPT-4o is 6.0x cheaper on average, making it the better choice for high-volume applications.
GPT-o1 supports a larger context window (200K), allowing it to process longer documents in a single request.
When to use GPT-4o
- +You need the highest quality output based on arena rankings
- +Budget is a concern and you need cost efficiency
- +Your use case involves general purpose, coding, analysis
When to use GPT-o1
- +Quality matters more than cost
- +You need to process long documents (200K context)
- +Your use case involves complex reasoning, math, science, coding
Cost Analysis
At current pricing, GPT-4o is 6.0x more affordable than GPT-o1. For a typical enterprise workload processing 100M tokens per month:
GPT-4o monthly cost
$625
100M tokens/mo (50/50 in/out)
GPT-o1 monthly cost
$3,750
100M tokens/mo (50/50 in/out)
The Verdict
GPT-4o wins our head-to-head comparison with 4 out of 5 category wins. It's the stronger choice for general purpose, coding, analysis, though GPT-o1 holds an edge in complex reasoning, math, science, coding.
Last compared: March 2026 · Data sourced from public benchmarks and official pricing pages