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A head-to-head benchmark comparison of GPT-4.1 across 10 evaluations.
Today, we’re launching three new models in the API: GPT‑4.1, GPT‑4.1 mini, and GPT‑4.1 nano. These models outperform GPT‑4o and GPT‑4o mini across the board, wi.
Full GPT-4.1 specs →| Benchmark | GPT-4.1 |
|---|---|
| agentic | |
| BrowseComp | 4.1% |
| TAU-bench Airline | 48.8% |
| TAU-bench Retail | 75.1% |
| Terminal-Bench 2.0 | 30.3% |
| code | |
| SWE-bench Verified | 48.6% |
| general | |
| IFEval | 87.4% |
| MMLU | 90.2% |
| MultiChallenge | 38.3% |
| safety | |
| SimpleQA | 42.3% |
| tool-use | |
| BFCL v3 | 68.9% |
Best result per row highlighted in cyan. Each benchmark links to its definition and sources; each model links to its full scorecard.
GPT-4.1 has the strongest result on SWE-bench Verified among the models compared here. See the code-category rows in the table for the full picture.
This comparison covers 10 benchmarks on which at least one of the selected models has a published score.
Scores are aggregated from official model cards, technical reports and standard public evaluations, and link back to each benchmark's source. They are updated as new results are published.
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