Updated March 26, 2026· Based on independent benchmark data
GPT-5.3 Codex (xhigh) leads in intelligence with a score of 54.0 vs 26.3.
| Metric | GPT-4.1 | GPT-5.3 Codex (xhigh) |
|---|---|---|
| Intelligence Score | 26.3 | 54.0 |
| Coding Score | 21.8 | 53.1 |
| Math Score | 34.7 | N/A |
| Speed (tok/s) | 84 tok/s | 72 tok/s |
| Latency (TTFT) | 0.52s | 83.91s |
| Input Price / 1M tokens | $2.00 | $1.75 |
| Output Price / 1M tokens | $8.00 | $14 |
| Context Window | 1.0M | N/A |
| Max Output Tokens | N/A | N/A |
| Input Modalities | Image + Text + File | Text |
GPT-5.3 Codex (xhigh) outperforms GPT-4.1 on the intelligence index with a score of 54.0 compared to 26.3. For coding tasks, GPT-5.3 Codex (xhigh) has the edge with a coding score of 53.1 vs 21.8.
Both models deliver similar output speeds: GPT-4.1 at 84 tok/s and GPT-5.3 Codex (xhigh) at 72 tok/s. Time to first token is 0.52s for GPT-4.1 vs 83.91s for GPT-5.3 Codex (xhigh), which affects perceived responsiveness in interactive applications.
GPT-5.3 Codex (xhigh) is more affordable at $1.75/1M input tokens ($14/1M output), while GPT-4.1 costs $2.00/1M input ($8.00/1M output). For a typical workload of 100 requests per day at 2,000 tokens each, GPT-4.1 would cost approximately $12.00/month vs $10.50/month for GPT-5.3 Codex (xhigh) in input costs alone.
Choose GPT-5.3 Codex (xhigh) when you need higher intelligence (54.0), stronger coding performance (53.1).
GPT-5.3 Codex (xhigh) scores higher on coding benchmarks (53.1 vs 21.8), making it the better choice for programming tasks.
GPT-5.3 Codex (xhigh) is cheaper at $1.75/1M input tokens vs $2.00/1M for GPT-4.1.
GPT-4.1 is faster, producing output at 84 tok/s compared to GPT-5.3 Codex (xhigh)'s 72 tok/s.
Yes, GPT-4.1 supports image input. GPT-5.3 Codex (xhigh) does not support image input.
Data last synced: March 26, 2026
| Output Modalities | Text | Text |
| Free Tier | No | No |
It depends on your priorities. GPT-5.3 Codex (xhigh) scores higher on intelligence (54.0), but GPT-4.1 may be better for specific use cases like budget-conscious projects or speed-critical applications.