Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
o1 Pro
o3
Cost Differences
o3 costs less than o1 Pro
Feature Comparison
| Feature | o1 Pro | o3 |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Input Price | $150.00/1M tokens | $2.00/1M tokens |
| Output Price | $600.00/1M tokens | $8.00/1M tokens |
| Context Window | 200,000 tokens | 1,000,000 tokens |
| Max Output | 100,000 tokens | 131,072 tokens |
| Category | flagship | reasoning |
| Capabilities | textvisioncodereasoning | textreasoningvisioncode |
| Release Date | 12/17/2024 | 4/16/2025 |
o1 Pro vs o3: Which Should You Choose?
Choosing between o1 Pro and o3 depends on your priorities: cost efficiency, context length, or raw capability. o3 is the more affordable option at $2.00/1M input tokens — 99% cheaper than o1 Pro. Meanwhile, o3 offers a significantly larger context window at 1,000,000 tokens vs 200,000 for o1 Pro.
These models target different tiers: o1 Pro is a flagship model while o3 is reasoning. This means they're optimized for different workloads. o1 Pro is built for complex tasks that require deeper reasoning, while o3 offers better value for routine operations.
Output costs matter too. o1 Pro charges $600.00/1M output tokens vs $8.00 for o3. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. o3 has the edge here at $8.00/1M output tokens.
Multimodal capabilities: Both models support vision (image understanding), so you can send images alongside text prompts with either option.
Best Use Cases
Choose o1 Pro when:
- • You're already using OpenAI's API ecosystem
Choose o3 when:
- • Budget is a primary concern
- • 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
o1 Pro (OpenAI)
o3 (OpenAI)
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