| Signal | GPT-5.2 Pro | Delta | o3 |
|---|---|---|---|
Capabilities | 86 | -- | |
Context window size | 89 | +5 | |
Output Capacity | 85 | +2 | |
Pricing Tier | 100 | +92 | |
Recency | 100 | +26 | |
Versatility | 67 | -- | |
| Overall Result | 4 wins | of 6 | 0 wins |
30
days ranked higher
0
days
0
days ranked higher
OpenAI
OpenAI
o3 saves you $9900.00/month
That's $118800.00/year compared to GPT-5.2 Pro at your current usage level of 100K calls/month.
| Metric | GPT-5.2 Pro | o3 | Winner |
|---|---|---|---|
| Overall Score | 90 | 62 | GPT-5.2 Pro |
| Rank | #1 | #44 | GPT-5.2 Pro |
| Quality Rank | #1 | #44 | GPT-5.2 Pro |
| Adoption Rank | #1 | #44 | GPT-5.2 Pro |
| Parameters | -- | -- | -- |
| Context Window | 400K | 200K | GPT-5.2 Pro |
| Pricing | $21.00/$168.00/M | $2.00/$8.00/M | -- |
| Signal Scores | |||
| Capabilities | 86 | 86 | GPT-5.2 Pro |
| Context window size | 89 | 84 | GPT-5.2 Pro |
| Output Capacity | 85 | 83 | GPT-5.2 Pro |
| Pricing Tier | 100 | 8 | GPT-5.2 Pro |
| Recency | 100 | 74 | GPT-5.2 Pro |
| Versatility | 67 | 67 | GPT-5.2 Pro |
GPT-5.2 Pro clearly outperforms o3 with a significant 27.700000000000003-point lead. For most general use cases, GPT-5.2 Pro is the stronger choice. However, o3 may still excel in niche scenarios.
Best for Quality
GPT-5.2 Pro
Marginally better benchmark scores; both are excellent
Best for Cost
o3
95% lower pricing; better value at scale
Best for Reliability
GPT-5.2 Pro
Higher uptime and faster response speeds
Best for Prototyping
GPT-5.2 Pro
Stronger community support and better developer experience
Best for Production
GPT-5.2 Pro
Wider enterprise adoption and proven at scale
by OpenAI
GPT-5.2 Pro currently scores higher (90 vs 62), but the best choice depends on your specific use case, budget, and requirements.
GPT-5.2 Pro is ranked #1 and o3 is ranked #44. Rankings are based on a composite score from multiple signals including benchmarks, community sentiment, and adoption metrics.
Compare the detailed pricing breakdown above to see which model offers better value for your usage pattern.