Model comparison
GPT-5.2 Codex vs GPT-5.3 Codex
GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 42.6 on the Noometry Index.
Last verified . 3 shared benchmarks.
Summary
- They share 3 benchmarks with published results for both. GPT-5.2 Codex scores higher in 0 categories and GPT-5.3 Codex in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in agentic & tool use, where GPT-5.3 Codex leads 48.0 to 41.0.
- The biggest single-benchmark swing is Terminal-Bench: 66.5% for GPT-5.2 Codex and 78.4% for GPT-5.3 Codex.
- Both cost about the same: $1.75 input and $14 output per million tokens.
Side by side
| GPT-5.2 Codex | GPT-5.3 Codex | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 42.6 | 45.8 |
| Released | 2025-12-18 | 2026-02-05 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | 400K |
| Max output | 128K | 128K |
| Input $ / M tokens | $1.75 | $1.75 |
| Output $ / M tokens | $14 | $14 |
| Results tracked | 5 | 8 |
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Category by category
Coding GPT-5.3 Codex leads
GPT-5.2 Codex: 45.5 (#71), GPT-5.3 Codex: 48.6 (#56)
| Benchmark | GPT-5.2 Codex | GPT-5.3 Codex |
|---|---|---|
| LMArena WebDev | 1339 | 1409 |
| ALE-Bench | 1,300 | 1,655 |
| SWE-bench Verified | — | 74.8% |
| SWE-bench Verified (bash only) | 72.8% | — |
| SWE-bench Multilingual | 66.3% | — |
| WeirdML | — | 79.3% |
Agentic & Tool Use GPT-5.3 Codex leads
GPT-5.2 Codex: 41.0 (#22), GPT-5.3 Codex: 48.0 (#9)
| Benchmark | GPT-5.2 Codex | GPT-5.3 Codex |
|---|---|---|
| Terminal-Bench | 66.5% | 78.4% |
| METR Time Horizons | — | 74.5% |
| Vending-Bench 2 | — | 5,940 |
Reasoning Not comparable
GPT-5.2 Codex: —, GPT-5.3 Codex: —
| Benchmark | GPT-5.2 Codex | GPT-5.3 Codex |
|---|---|---|
| Epoch Capabilities Index | — | 156.77 |
Frequently asked questions
Is GPT-5.2 Codex better than GPT-5.3 Codex?
GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 42.6 on the Noometry Index.
Which is cheaper, GPT-5.2 Codex or GPT-5.3 Codex?
GPT-5.3 Codex is cheaper. It lists at $1.75 per million input tokens and $14 per million output tokens; GPT-5.2 Codex lists at $1.75 and $14.
Is GPT-5.2 Codex or GPT-5.3 Codex better for coding?
GPT-5.3 Codex scores higher on coding benchmarks: 48.6 versus 45.5 in the Noometry coding category.
Which has the bigger context window?
Both accept 400K tokens.
How many benchmarks do GPT-5.2 Codex and GPT-5.3 Codex share?
3 benchmarks have published results for both models. GPT-5.2 Codex has 5 scored results on Noometry and GPT-5.3 Codex has 8.