GPT-4 TurbovsGPT-o1
OpenAI vs OpenAI — Side-by-side model comparison
Head-to-Head Comparison
| Metric | GPT-4 Turbo | GPT-o1 |
|---|---|---|
| Provider | ||
| Arena Rank | #5 | #3 |
| Context Window | 128K | 200K |
| Input Pricing | $10.00/1M tokens | $15.00/1M tokens |
| Output Pricing | $30.00/1M tokens | $60.00/1M tokens |
| Parameters | Undisclosed | Undisclosed |
| Open Source | No | No |
| Best For | Complex tasks, coding, analysis, vision | Complex reasoning, math, science, coding |
| Release Date | Apr 9, 2024 | Dec 17, 2024 |
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.
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-4 Turbo vs GPT-o1
GPT-o1 ranks higher in arena benchmarks (#3) indicating stronger overall performance.
GPT-4 Turbo is 1.9x 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-4 Turbo
- +Budget is a concern and you need cost efficiency
- +Your use case involves complex tasks, coding, analysis, vision
When to use GPT-o1
- +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 complex reasoning, math, science, coding
Cost Analysis
At current pricing, GPT-4 Turbo is 1.9x more affordable than GPT-o1. 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-o1 monthly cost
$3,750
100M tokens/mo (50/50 in/out)
The Verdict
This is a close matchup. GPT-4 Turbo and GPT-o1 each win in different categories, making the choice highly dependent on your use case. Choose GPT-4 Turbo for complex tasks, coding, analysis, vision. Choose GPT-o1 for complex reasoning, math, science, coding.
Last compared: March 2026 · Data sourced from public benchmarks and official pricing pages