o3 vs GPT-5.2
Detailed pricing comparison and cost analysis.
Updated March 2026
Cost Simulator
| Feature | o3 | GPT-5.2 |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Input Price (1M) | $2.00 | $1.75 |
| Output Price (1M) | $8.00 | $14.00 |
| Context Window | 200,000 | 128,000 |
Verdict
o3 costs $2.00 per 1M input tokens and $8.00 per 1M output tokens. GPT-5.2 costs $1.75 per 1M input tokens and $14.00 per 1M output tokens. GPT-5.2 is 13% cheaper on input tokens than o3. For output tokens, o3 is the more affordable option at $8.00/1M vs $14.00.
On context window, o3 supports 200,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.
When to choose o3
- ✓ Your workload is output-heavy — o3 generates text cheaper
- ✓ You need a larger context window (200,000 tokens)
- ✓ You are already integrated with OpenAI
When to choose GPT-5.2
- ✓ You need the lowest input token cost ($ 1.75/1M)
- ✓ 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.