GPT-5 Pro vs o3-pro
Detailed pricing comparison and cost analysis.
Updated September 2026
Cost Simulator
| Feature | GPT-5 Pro | o3-pro |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Input Price (1M) | $15.00 | $20.00 |
| Output Price (1M) | $120.00 | $80.00 |
| Context Window | 400,000 | 200,000 |
Verdict
GPT-5 Pro costs $15.00 per 1M input tokens and $120.00 per 1M output tokens. o3-pro costs $20.00 per 1M input tokens and $80.00 per 1M output tokens. GPT-5 Pro is 25% cheaper on input tokens than o3-pro. For output tokens, o3-pro is the more affordable option at $80.00/1M vs $120.00.
On context window, GPT-5 Pro supports 400,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.
When to choose GPT-5 Pro
- ✓ You need the lowest input token cost ($ 15.00/1M)
- ✓ You need a larger context window (400,000 tokens)
- ✓ You are already integrated with OpenAI
When to choose o3-pro
- ✓ Your workload is output-heavy — o3-pro 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 GPT-5 Pro cheaper than o3-pro? ▼
GPT-5 Pro 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 GPT-5 Pro vs o3-pro? ▼
GPT-5 Pro has a 400,000-token context window. o3-pro has a 200,000-token context window. GPT-5 Pro supports the larger context, suitable for longer documents and agentic workflows.
Which model is better: GPT-5 Pro or o3-pro? ▼
The best choice depends on your use case. For cost efficiency on input tokens, GPT-5 Pro is the cheaper option. For maximum context length, GPT-5 Pro supports 400,000 tokens. Use the comparison table above to find the right fit for your workload.