First mainline model incorporating GPT-5.3-Codex coding capabilities. Native computer use, 1M context, surpasses human baseline on OSWorld. Codex branch ends here.
| Benchmark | Score | Rank |
|---|---|---|
FrontierMath Unpublished research-level mathematics problems | 47.6% | #1 / 4 |
OSWorld Computer use in real desktop environments | 75% | #3 / 13 |
ARC-AGI Novel reasoning tasks requiring fluid intelligence | 73.3% | #7 / 28 |
SWE-bench Real-world GitHub issue resolution | 78.2% | #9 / 39 |
Terminal Agentic terminal coding tasks requiring multi-step execution | 75.1% | #9 / 56 |
hleArtificial Analysis | 41.6% | #9 / 69 |
GPQA PhD-level science questions even experts struggle with | 92.8% | #10 / 81 |
MATH Competition-level mathematics problems | 96.7% | #12 / 50 |
HumanEval Coding ability - generating correct Python functions | 94.5% | #13 / 50 |
LiveCodeBenchvals.ai Contamination-free competitive programming (filtered by cutoff date) | 84% | #27 / 54 |
MMMUvals.ai College-level multimodal reasoning across 30+ disciplines | 79.2% | #29 / 53 |
MMLU-Provals.ai Harder 10-option successor to MMLU; more reasoning-focused | 84.6% | #37 / 52 |