Model comparison
GPT-4.1 mini vs GPT-5 Mini
GPT-5 Mini is the stronger model overall, scoring 41.8 to 33.6 on the Noometry Index.
Last verified . 44 shared benchmarks.
Summary
- They share 44 benchmarks with published results for both. GPT-4.1 mini scores higher in 2 categories and GPT-5 Mini in 8 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5 Mini leads 46.7 to 24.1.
- The biggest single-benchmark swing is ARC-AGI-1: 3.5% for GPT-4.1 mini and 54.3% for GPT-5 Mini.
- Both cost about the same: $0.40 input and $1.60 output per million tokens.
- GPT-4.1 mini accepts more context: 1.05M tokens versus 400K.
Side by side
| GPT-4.1 mini | GPT-5 Mini | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 33.6 | 41.8 |
| Released | 2025-04-14 | 2025-08-07 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 400K |
| Max output | 33K | 128K |
| Input $ / M tokens | $0.40 | $0.25 |
| Output $ / M tokens | $1.60 | $2 |
| Results tracked | 47 | 60 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-5 Mini leads
GPT-4.1 mini: 30.6 (#293), GPT-5 Mini: 40.1 (#146)
| Benchmark | GPT-4.1 mini | GPT-5 Mini |
|---|---|---|
| SWE-bench Verified (bash only) | 23.9% | 59.8% |
| SciCode | 40.4% | 39.2% |
| WeirdML | 37.6% | 52.7% |
| LMArena Coding | 1367 | 1406 |
| SWE-bench Verified | — | 64.7% |
| Aider Polyglot | 32.4% | — |
| SWE-bench Multilingual | — | 39.7% |
| BigCodeBench Instruct | 48.9% | — |
| CadEval | 16% | — |
| ALE-Bench | — | 799.77 |
| AlgoTune | — | 1.38 |
Agentic & Tool Use GPT-4.1 mini leads
GPT-4.1 mini: 33.3 (#55), GPT-5 Mini: 31.1 (#70)
| Benchmark | GPT-4.1 mini | GPT-5 Mini |
|---|---|---|
| Berkeley Function Calling Leaderboard | 50.5% | 55.5% |
| Terminal-Bench | — | 34.8% |
| Vending-Bench 2 | — | -31.18 |
Reasoning GPT-5 Mini leads
GPT-4.1 mini: 10.8 (#340), GPT-5 Mini: 23.9 (#168)
| Benchmark | GPT-4.1 mini | GPT-5 Mini |
|---|---|---|
| ARC-AGI-2 | 0% | 4.4% |
| Kagi LLM Benchmark | 48.6% | 70.3% |
| ARC-AGI-1 | 3.5% | 54.3% |
| CritPt | 0% | 0% |
| Chess Puzzles | 7% | 30% |
| LMArena Hard Prompts | 1349 | 1380 |
| Mystery Game Puzzles | 7% | 10% |
| DTBench | 68.8% | 80.5% |
| LMCA | 21.1% | 34.2% |
| Epoch Capabilities Index | 135.01 | 145.52 |
| EnigmaEval | — | 8.2% |
| ForecastBench | — | 61 |
Math GPT-5 Mini leads
GPT-4.1 mini: 24.1 (#270), GPT-5 Mini: 46.7 (#69)
| Benchmark | GPT-4.1 mini | GPT-5 Mini |
|---|---|---|
| FrontierMath (Tiers 1-3) | 6.7% | 46.7% |
| OTIS Mock AIME 2024-2025 | 44.7% | 86.7% |
| Omni-MATH | 49.1% | 72.2% |
| LMArena Math | 1343 | 1378 |
| MATH Level 5 | 87.3% | 97.8% |
| FrontierMath (Feb 2025 set) | 4.5% | 27.2% |
| FrontierMath Tier 4 | — | 12.2% |
| ProofBench | — | 9% |
| FrontierMath Tier 4 (v1) | — | 6.3% |
Knowledge GPT-5 Mini leads
GPT-4.1 mini: 34.7 (#194), GPT-5 Mini: 45.6 (#86)
| Benchmark | GPT-4.1 mini | GPT-5 Mini |
|---|---|---|
| GPQA Diamond | 65.8% | 75% |
| SimpleQA Verified | 12.7% | 21.6% |
| MMLU-Pro | 78.3% | 83.5% |
| GPQA (HELM) | 61.4% | 75.6% |
| LMArena Expert | 1338 | 1379 |
| Humanity's Last Exam | — | 19.4% |
| Confabulations | — | 13.3% |
| Vectara Hallucination Rate | — | 12.9% |
Multimodal Too close to call
GPT-4.1 mini: 35.8 (#82), GPT-5 Mini: 35.6 (#85)
| Benchmark | GPT-4.1 mini | GPT-5 Mini |
|---|---|---|
| LMArena Vision | 1181 | 1202 |
| VPCT | — | 40.2% |
Multilingual GPT-5 Mini leads
GPT-4.1 mini: 45.7 (#166), GPT-5 Mini: 48.9 (#137)
| Benchmark | GPT-4.1 mini | GPT-5 Mini |
|---|---|---|
| LMArena Non-English | 1318 | 1363 |
| LMArena Chinese | 1329 | 1385 |
| LMArena French | 1358 | 1386 |
| LMArena German | 1351 | 1366 |
| LMArena Japanese | 1290 | 1341 |
| LMArena Korean | 1298 | 1308 |
| LMArena Russian | 1324 | 1362 |
| LMArena Spanish | 1319 | 1355 |
Instruction Following GPT-5 Mini leads
GPT-4.1 mini: 73.7 (#118), GPT-5 Mini: 76.2 (#46)
| Benchmark | GPT-4.1 mini | GPT-5 Mini |
|---|---|---|
| IFEval | 90.4% | 92.7% |
| LMArena Instruction Following | 1333 | 1357 |
Long Context GPT-5 Mini leads
GPT-4.1 mini: 31.8 (#275), GPT-5 Mini: 41.9 (#132)
| Benchmark | GPT-4.1 mini | GPT-5 Mini |
|---|---|---|
| Fiction.LiveBench | 44.4% | 69.4% |
| LMArena Longer Query | 1344 | 1355 |
Writing & Preference GPT-5 Mini leads
GPT-4.1 mini: 48.6 (#199), GPT-5 Mini: 55.2 (#148)
| Benchmark | GPT-4.1 mini | GPT-5 Mini |
|---|---|---|
| LMArena Text | 1340 | 1373 |
| LMArena Creative Writing | 1300 | 1325 |
| EQ-Bench Creative Writing | 1147 | 1313 |
| WildBench | 83.8% | 85.5% |
| LMArena Multi-Turn | 1354 | 1363 |
| Short-Story Creative Writing | — | 83.1% |
Frequently asked questions
Is GPT-4.1 mini better than GPT-5 Mini?
GPT-5 Mini is the stronger model overall, scoring 41.8 to 33.6 on the Noometry Index.
Which is cheaper, GPT-4.1 mini or GPT-5 Mini?
GPT-5 Mini is cheaper. It lists at $0.25 per million input tokens and $2 per million output tokens; GPT-4.1 mini lists at $0.40 and $1.60.
Is GPT-4.1 mini or GPT-5 Mini better for coding?
GPT-5 Mini scores higher on coding benchmarks: 40.1 versus 30.6 in the Noometry coding category.
Which has the bigger context window?
GPT-4.1 mini does, with 1.05M tokens against 400K.
How many benchmarks do GPT-4.1 mini and GPT-5 Mini share?
44 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and GPT-5 Mini has 60.