| Signal | GPT-5.2-Codex | Delta | GPT-5.3-Codex |
|---|---|---|---|
Capabilities | 86 | -- | |
Context window size | 89 | -- | |
Output Capacity | 85 | -- | |
Pricing Tier | 14 | -- | |
Recency | 100 | -- | |
Versatility | 50 | -- | |
| Overall Result | 0 wins | of 6 | 0 wins |
11
days ranked higher
3
days
16
days ranked higher
OpenAI
OpenAI
| Metric | GPT-5.2-Codex | GPT-5.3-Codex | Winner |
|---|---|---|---|
| Overall Score | 67 | 67 | -- |
| Rank | #20 | #19 | GPT-5.3-Codex |
| Quality Rank | #20 | #19 | GPT-5.3-Codex |
| Adoption Rank | #20 | #19 | GPT-5.3-Codex |
| Parameters | -- | -- | -- |
| Context Window | 400K | 400K | -- |
| Pricing | $1.75/$14.00/M | $1.75/$14.00/M | -- |
| Signal Scores | |||
| Capabilities | 86 | 86 | GPT-5.2-Codex |
| Context window size | 89 | 89 | GPT-5.2-Codex |
| Output Capacity | 85 | 85 | GPT-5.2-Codex |
| Pricing Tier | 14 | 14 | GPT-5.2-Codex |
| Recency | 100 | 100 | GPT-5.2-Codex |
| Versatility | 50 | 50 | GPT-5.2-Codex |
GPT-5.2-Codex and GPT-5.3-Codex are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
GPT-5.2-Codex
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-5.2-Codex
0% lower pricing; better value at scale
Best for Reliability
GPT-5.2-Codex
Higher uptime and faster response speeds
Best for Prototyping
GPT-5.2-Codex
Stronger community support and better developer experience
Best for Production
GPT-5.2-Codex
Wider enterprise adoption and proven at scale
by OpenAI
Both models score similarly (67). The best choice depends on your specific use case, budget, and requirements.
GPT-5.2-Codex is ranked #20 and GPT-5.3-Codex is ranked #19. 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.