Model comparison
GPT-4.1 vs o3-mini
GPT-4.1 and o3-mini score almost the same on the Noometry Index (35.9 vs 36.7), so choose on price, context window or the category you care about most.
Last verified . 36 shared benchmarks.
Summary
- They share 36 benchmarks with published results for both. GPT-4.1 scores higher in 4 categories and o3-mini in 5 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-4.1 leads 57.6 to 50.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 38.3% for GPT-4.1 and 76.9% for o3-mini.
- o3-mini is cheaper at $1.10 / $4.40 per million input/output tokens, against $2 / $8 for GPT-4.1.
- GPT-4.1 accepts more context: 1.05M tokens versus 200K.
Side by side
| GPT-4.1 | o3-mini | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 35.9 | 36.7 |
| Released | 2025-04-14 | 2024-12-20 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 200K |
| Max output | 33K | 100K |
| Input $ / M tokens | $2 | $1.10 |
| Output $ / M tokens | $8 | $4.40 |
| Results tracked | 52 | 51 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding o3-mini leads
GPT-4.1: 34.4 (#238), o3-mini: 40.8 (#132)
| Benchmark | GPT-4.1 | o3-mini |
|---|---|---|
| Aider Polyglot | 52.4% | 60.4% |
| WeirdML | 39% | 43.7% |
| LMArena Coding | 1391 | 1378 |
| CadEval | 42% | 54% |
| SWE-bench Verified | 48.5% | — |
| SWE-bench Verified (bash only) | 39.6% | — |
| SciCode | — | 39.8% |
| GSO | — | 1.3% |
| LiveBench Coding | — | 82.7% |
| ALE-Bench | 558.1 | — |
Agentic & Tool Use GPT-4.1 leads
GPT-4.1: 34.7 (#43), o3-mini: 29.6 (#84)
| Benchmark | GPT-4.1 | o3-mini |
|---|---|---|
| Berkeley Function Calling Leaderboard | 54% | — |
| Cybench | — | 22.5% |
Reasoning o3-mini leads
GPT-4.1: 11.7 (#339), o3-mini: 16.3 (#305)
| Benchmark | GPT-4.1 | o3-mini |
|---|---|---|
| ARC-AGI-2 | 0.4% | 3% |
| SimpleBench | 27% | 22.8% |
| ARC-AGI-1 | 5.5% | 34.5% |
| Chess Puzzles | 6% | 17% |
| LMArena Hard Prompts | 1384 | 1366 |
| DTBench | 68.3% | 68.8% |
| LMCA | 25.6% | 19% |
| Epoch Capabilities Index | 136.78 | 140.34 |
| ForecastBench | 61.5 | 59.6 |
| Kagi LLM Benchmark | 52.3% | — |
| CritPt | — | 0.3% |
| EnigmaEval | 2.2% | — |
| LiveBench Reasoning | — | 89.6% |
| Mystery Game Puzzles | — | 7% |
| LiveBench Data Analysis | — | 70.6% |
| LiveBench | — | 75.9% |
Math o3-mini leads
GPT-4.1: 22.3 (#280), o3-mini: 28.1 (#244)
| Benchmark | GPT-4.1 | o3-mini |
|---|---|---|
| FrontierMath (Tiers 1-3) | 6% | 18.6% |
| OTIS Mock AIME 2024-2025 | 38.3% | 76.9% |
| LMArena Math | 1370 | 1396 |
| MATH Level 5 | 83% | 96.5% |
| FrontierMath (Feb 2025 set) | 5.5% | 12.4% |
| FrontierMath Tier 4 (v1) | 0% | 4.2% |
| FrontierMath Tier 4 | — | 0% |
| Omni-MATH | 47.1% | — |
| LiveBench Math | — | 77.3% |
Knowledge o3-mini leads
GPT-4.1: 37.1 (#160), o3-mini: 38.3 (#146)
| Benchmark | GPT-4.1 | o3-mini |
|---|---|---|
| GPQA Diamond | 66.9% | 77% |
| SimpleQA Verified | 31.1% | 15.3% |
| LMArena Expert | 1364 | 1364 |
| Humanity's Last Exam | 5.4% | — |
| MMLU-Pro | 81.1% | — |
| Confabulations | — | 17.9% |
| Vectara Hallucination Rate | 5.6% | — |
| GPQA (HELM) | 65.9% | — |
Multimodal Not comparable
GPT-4.1: 38.2 (#67), o3-mini: —
| Benchmark | GPT-4.1 | o3-mini |
|---|---|---|
| LMArena Vision | 1211 | — |
| GeoBench | 72% | — |
Multilingual GPT-4.1 leads
GPT-4.1: 49.4 (#133), o3-mini: 45.7 (#164)
| Benchmark | GPT-4.1 | o3-mini |
|---|---|---|
| LMArena Non-English | 1370 | 1319 |
| LMArena Chinese | 1382 | 1379 |
| LMArena French | 1382 | 1334 |
| LMArena German | 1381 | 1303 |
| LMArena Japanese | 1319 | 1286 |
| LMArena Korean | 1339 | 1314 |
| LMArena Russian | 1377 | 1304 |
| LMArena Spanish | 1376 | 1321 |
Instruction Following o3-mini leads
GPT-4.1: 71.3 (#153), o3-mini: 75.1 (#72)
| Benchmark | GPT-4.1 | o3-mini |
|---|---|---|
| LMArena Instruction Following | 1367 | 1337 |
| LiveBench Instruction Following | — | 84.4% |
| IFEval | 83.8% | — |
Long Context GPT-4.1 leads
GPT-4.1: 40.0 (#163), o3-mini: 33.8 (#256)
| Benchmark | GPT-4.1 | o3-mini |
|---|---|---|
| Fiction.LiveBench | 63.9% | 50% |
| LMArena Longer Query | 1385 | 1343 |
Writing & Preference GPT-4.1 leads
GPT-4.1: 57.6 (#125), o3-mini: 50.3 (#182)
| Benchmark | GPT-4.1 | o3-mini |
|---|---|---|
| LMArena Text | 1383 | 1337 |
| LMArena Creative Writing | 1363 | 1286 |
| LMArena Multi-Turn | 1398 | 1320 |
| Short-Story Creative Writing | — | 61.7% |
| EQ-Bench Creative Writing | 1420 | — |
| WildBench | 85.4% | — |
| LiveBench Language | — | 50.7% |
Frequently asked questions
Is GPT-4.1 better than o3-mini?
GPT-4.1 and o3-mini score almost the same on the Noometry Index (35.9 vs 36.7), so choose on price, context window or the category you care about most.
Which is cheaper, GPT-4.1 or o3-mini?
o3-mini is cheaper. It lists at $1.10 per million input tokens and $4.40 per million output tokens; GPT-4.1 lists at $2 and $8.
Is GPT-4.1 or o3-mini better for coding?
o3-mini scores higher on coding benchmarks: 40.8 versus 34.4 in the Noometry coding category.
Which has the bigger context window?
GPT-4.1 does, with 1.05M tokens against 200K.
How many benchmarks do GPT-4.1 and o3-mini share?
36 benchmarks have published results for both models. GPT-4.1 has 52 scored results on Noometry and o3-mini has 51.