| Signal | GPT-4o (2024-11-20) | Delta | GPT-5.2 |
|---|---|---|---|
Capabilities | 57 | -29 | |
Context window size | 81 | -8 | |
Output Capacity | 70 | -15 | |
Pricing Tier | 10 | -4 | |
Recency | 48 | -52 | |
Versatility | 67 | -- | |
| Overall Result | 0 wins | of 6 | 5 wins |
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OpenAI
OpenAI
GPT-4o (2024-11-20) saves you $125.00/month
That's $1500.00/year compared to GPT-5.2 at your current usage level of 100K calls/month.
| Metric | GPT-4o (2024-11-20) | GPT-5.2 | Winner |
|---|---|---|---|
| Overall Score | 50 | 68 | GPT-5.2 |
| Rank | #117 | #13 | GPT-5.2 |
| Quality Rank | #117 | #13 | GPT-5.2 |
| Adoption Rank | #117 | #13 | GPT-5.2 |
| Parameters | -- | -- | -- |
| Context Window | 128K | 400K | GPT-5.2 |
| Pricing | $2.50/$10.00/M | $1.75/$14.00/M | -- |
| Signal Scores | |||
| Capabilities | 57 | 86 | GPT-5.2 |
| Context window size | 81 | 89 | GPT-5.2 |
| Output Capacity | 70 | 85 | GPT-5.2 |
| Pricing Tier | 10 | 14 | GPT-5.2 |
| Recency | 48 | 100 | GPT-5.2 |
| Versatility | 67 | 67 | GPT-4o (2024-11-20) |
GPT-5.2 clearly outperforms GPT-4o (2024-11-20) with a significant 18.60000000000001-point lead. For most general use cases, GPT-5.2 is the stronger choice. However, GPT-4o (2024-11-20) may still excel in niche scenarios.
Best for Quality
GPT-4o (2024-11-20)
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-4o (2024-11-20)
21% lower pricing; better value at scale
Best for Reliability
GPT-4o (2024-11-20)
Higher uptime and faster response speeds
Best for Prototyping
GPT-4o (2024-11-20)
Stronger community support and better developer experience
Best for Production
GPT-4o (2024-11-20)
Wider enterprise adoption and proven at scale
by OpenAI
GPT-5.2 currently scores higher (68 vs 50), but the best choice depends on your specific use case, budget, and requirements.
GPT-4o (2024-11-20) is ranked #117 and GPT-5.2 is ranked #13. 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.