Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
GPT-4o
o3-pro
Cost Differences
o3-pro costs more than GPT-4o
Feature Comparison
| Feature | GPT-4o | o3-pro |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Input Price | $2.50/1M tokens | $20.00/1M tokens |
| Output Price | $10.00/1M tokens | $80.00/1M tokens |
| Context Window | 128,000 tokens | 1,000,000 tokens |
| Max Output | 16,384 tokens | 131,072 tokens |
| Category | flagship | reasoning |
| Capabilities | textvisionaudio | textreasoningcode |
| Release Date | 5/13/2024 | 6/10/2025 |
GPT-4o vs o3-pro: Which Should You Choose?
Choosing between GPT-4o and o3-pro depends on your priorities: cost efficiency, context length, or raw capability. GPT-4o is the more affordable option at $2.50/1M input tokens — 88% cheaper than o3-pro. Meanwhile, o3-pro offers a significantly larger context window at 1,000,000 tokens vs 128,000 for GPT-4o.
These models target different tiers: GPT-4o is a flagship model while o3-pro is reasoning. This means they're optimized for different workloads. GPT-4o is built for complex tasks that require deeper reasoning, while o3-pro offers better value for routine operations.
Output costs matter too. GPT-4o charges $10.00/1M output tokens vs $80.00 for o3-pro. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. GPT-4o has the edge here at $10.00/1M output tokens.
Multimodal capabilities: GPT-4o supports vision (image inputs) while o3-pro is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose GPT-4o when:
- • Budget is a primary concern
- • You're already using OpenAI's API ecosystem
Choose o3-pro when:
- • You need a larger context window (1,000,000 tokens)
- • You need longer outputs (up to 131,072 tokens)
- • You're already using OpenAI's API ecosystem
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
GPT-4o (OpenAI)
o3-pro (OpenAI)
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