Model comparison
GPT-4.1 vs GPT-4.1 mini
GPT-4.1 is the stronger model overall, scoring 35.9 to 33.6 on the Noometry Index. GPT-4.1 mini costs 5.0× less per token, which makes it the better buy when GPT-4.1's lead doesn't matter for your workload.
Last verified . 43 shared benchmarks.
Summary
- They share 43 benchmarks with published results for both. GPT-4.1 scores higher in 8 categories and GPT-4.1 mini in 2 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-4.1 leads 57.6 to 48.6.
- The biggest single-benchmark swing is CadEval: 42% for GPT-4.1 and 16% for GPT-4.1 mini.
- GPT-4.1 mini is cheaper at $0.40 / $1.60 per million input/output tokens, against $2 / $8 for GPT-4.1.
Side by side
| GPT-4.1 | GPT-4.1 mini | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 35.9 | 33.6 |
| Released | 2025-04-14 | 2025-04-14 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1.05M |
| Max output | 33K | 33K |
| Input $ / M tokens | $2 | $0.40 |
| Output $ / M tokens | $8 | $1.60 |
| Results tracked | 52 | 47 |
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Category by category
Coding GPT-4.1 leads
GPT-4.1: 34.4 (#238), GPT-4.1 mini: 30.6 (#293)
| Benchmark | GPT-4.1 | GPT-4.1 mini |
|---|---|---|
| SWE-bench Verified (bash only) | 39.6% | 23.9% |
| Aider Polyglot | 52.4% | 32.4% |
| WeirdML | 39% | 37.6% |
| LMArena Coding | 1391 | 1367 |
| CadEval | 42% | 16% |
| SWE-bench Verified | 48.5% | — |
| SciCode | — | 40.4% |
| BigCodeBench Instruct | — | 48.9% |
| ALE-Bench | 558.1 | — |
Agentic & Tool Use GPT-4.1 leads
GPT-4.1: 34.7 (#43), GPT-4.1 mini: 33.3 (#55)
| Benchmark | GPT-4.1 | GPT-4.1 mini |
|---|---|---|
| Berkeley Function Calling Leaderboard | 54% | 50.5% |
Reasoning Too close to call
GPT-4.1: 11.7 (#339), GPT-4.1 mini: 10.8 (#340)
| Benchmark | GPT-4.1 | GPT-4.1 mini |
|---|---|---|
| ARC-AGI-2 | 0.4% | 0% |
| Kagi LLM Benchmark | 52.3% | 48.6% |
| ARC-AGI-1 | 5.5% | 3.5% |
| Chess Puzzles | 6% | 7% |
| LMArena Hard Prompts | 1384 | 1349 |
| DTBench | 68.3% | 68.8% |
| LMCA | 25.6% | 21.1% |
| Epoch Capabilities Index | 136.78 | 135.01 |
| SimpleBench | 27% | — |
| CritPt | — | 0% |
| EnigmaEval | 2.2% | — |
| Mystery Game Puzzles | — | 7% |
| ForecastBench | 61.5 | — |
Math GPT-4.1 mini leads
GPT-4.1: 22.3 (#280), GPT-4.1 mini: 24.1 (#270)
| Benchmark | GPT-4.1 | GPT-4.1 mini |
|---|---|---|
| FrontierMath (Tiers 1-3) | 6% | 6.7% |
| OTIS Mock AIME 2024-2025 | 38.3% | 44.7% |
| Omni-MATH | 47.1% | 49.1% |
| LMArena Math | 1370 | 1343 |
| MATH Level 5 | 83% | 87.3% |
| FrontierMath (Feb 2025 set) | 5.5% | 4.5% |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge GPT-4.1 leads
GPT-4.1: 37.1 (#160), GPT-4.1 mini: 34.7 (#194)
| Benchmark | GPT-4.1 | GPT-4.1 mini |
|---|---|---|
| GPQA Diamond | 66.9% | 65.8% |
| SimpleQA Verified | 31.1% | 12.7% |
| MMLU-Pro | 81.1% | 78.3% |
| GPQA (HELM) | 65.9% | 61.4% |
| LMArena Expert | 1364 | 1338 |
| Humanity's Last Exam | 5.4% | — |
| Vectara Hallucination Rate | 5.6% | — |
Multimodal GPT-4.1 leads
GPT-4.1: 38.2 (#67), GPT-4.1 mini: 35.8 (#82)
| Benchmark | GPT-4.1 | GPT-4.1 mini |
|---|---|---|
| LMArena Vision | 1211 | 1181 |
| GeoBench | 72% | — |
Multilingual GPT-4.1 leads
GPT-4.1: 49.4 (#133), GPT-4.1 mini: 45.7 (#166)
| Benchmark | GPT-4.1 | GPT-4.1 mini |
|---|---|---|
| LMArena Non-English | 1370 | 1318 |
| LMArena Chinese | 1382 | 1329 |
| LMArena French | 1382 | 1358 |
| LMArena German | 1381 | 1351 |
| LMArena Japanese | 1319 | 1290 |
| LMArena Korean | 1339 | 1298 |
| LMArena Russian | 1377 | 1324 |
| LMArena Spanish | 1376 | 1319 |
Instruction Following GPT-4.1 mini leads
GPT-4.1: 71.3 (#153), GPT-4.1 mini: 73.7 (#118)
| Benchmark | GPT-4.1 | GPT-4.1 mini |
|---|---|---|
| IFEval | 83.8% | 90.4% |
| LMArena Instruction Following | 1367 | 1333 |
Long Context GPT-4.1 leads
GPT-4.1: 40.0 (#163), GPT-4.1 mini: 31.8 (#275)
| Benchmark | GPT-4.1 | GPT-4.1 mini |
|---|---|---|
| Fiction.LiveBench | 63.9% | 44.4% |
| LMArena Longer Query | 1385 | 1344 |
Writing & Preference GPT-4.1 leads
GPT-4.1: 57.6 (#125), GPT-4.1 mini: 48.6 (#199)
| Benchmark | GPT-4.1 | GPT-4.1 mini |
|---|---|---|
| LMArena Text | 1383 | 1340 |
| LMArena Creative Writing | 1363 | 1300 |
| EQ-Bench Creative Writing | 1420 | 1147 |
| WildBench | 85.4% | 83.8% |
| LMArena Multi-Turn | 1398 | 1354 |
Frequently asked questions
Is GPT-4.1 better than GPT-4.1 mini?
GPT-4.1 is the stronger model overall, scoring 35.9 to 33.6 on the Noometry Index. GPT-4.1 mini costs 5.0× less per token, which makes it the better buy when GPT-4.1's lead doesn't matter for your workload.
Which is cheaper, GPT-4.1 or GPT-4.1 mini?
GPT-4.1 mini is cheaper. It lists at $0.40 per million input tokens and $1.60 per million output tokens; GPT-4.1 lists at $2 and $8.
Is GPT-4.1 or GPT-4.1 mini better for coding?
GPT-4.1 scores higher on coding benchmarks: 34.4 versus 30.6 in the Noometry coding category.
Which has the bigger context window?
Both accept 1.05M tokens.
How many benchmarks do GPT-4.1 and GPT-4.1 mini share?
43 benchmarks have published results for both models. GPT-4.1 has 52 scored results on Noometry and GPT-4.1 mini has 47.