o3-pro vs o1
Detailed pricing comparison and cost analysis.
Updated September 2026
Cost Simulator
| Feature | o3-pro | o1 |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Input Price (1M) | $20.00 | $15.00 |
| Output Price (1M) | $80.00 | $60.00 |
| Context Window | 200,000 | 200,000 |
Verdict
o3-pro costs $20.00 per 1M input tokens and $80.00 per 1M output tokens. o1 costs $15.00 per 1M input tokens and $60.00 per 1M output tokens. o1 is 25% cheaper on input tokens than o3-pro. For output tokens, o1 is the more affordable option at $60.00/1M vs $80.00.
On context window, o3-pro supports 200,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.
When to choose o3-pro
- ✓ You are already integrated with OpenAI
When to choose o1
- ✓ You need the lowest input token cost ($ 15.00/1M)
- ✓ Your workload is output-heavy — o1 generates text cheaper
- ✓ You are already integrated with OpenAI
Use the calculator above to simulate your specific workload and find the exact break-even point. For most applications, the cheapest model is the one that minimises your total monthly bill given your input-to-output token ratio.
Frequently Asked Questions
Is o3-pro cheaper than o1? ▼
o1 is cheaper on input tokens at $15.00/1M vs $20.00/1M for o3-pro — a 25% saving.
What is the context window of o3-pro vs o1? ▼
o3-pro has a 200,000-token context window. o1 has a 200,000-token context window. o3-pro supports the larger context, suitable for longer documents and agentic workflows.
Which model is better: o3-pro or o1? ▼
The best choice depends on your use case. For cost efficiency on input tokens, o1 is the cheaper option. For maximum context length, o3-pro supports 200,000 tokens. Use the comparison table above to find the right fit for your workload.