Model comparison
GPT-4.1 mini vs GPT-5.2 Pro
GPT-5.2 Pro is the stronger model overall, scoring 52.2 to 33.5 on the Noometry Index. GPT-4.1 mini costs 82× less per token, which makes it the better buy when GPT-5.2 Pro's lead doesn't matter for your workload.
Last verified . 4 shared benchmarks.
Summary
- They share 4 benchmarks with published results for both. GPT-4.1 mini scores higher in 0 categories and GPT-5.2 Pro in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.2 Pro leads 64.8 to 23.1.
- The biggest single-benchmark swing is ARC-AGI-1: 3.5% for GPT-4.1 mini and 90.5% for GPT-5.2 Pro.
- GPT-4.1 mini is cheaper at $0.40 / $1.60 per million input/output tokens, against $21 / $168 for GPT-5.2 Pro.
- GPT-4.1 mini accepts more context: 1.05M tokens versus 400K.
Side by side
| GPT-4.1 mini | GPT-5.2 Pro | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 33.5 | 52.2 |
| Released | 2025-04-14 | 2025-12-11 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 400K |
| Max output | 33K | 128K |
| Input $ / M tokens | $0.40 | $21 |
| Output $ / M tokens | $1.60 | $168 |
| Results tracked | 47 | 8 |
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Category by category
Coding Not comparable
GPT-4.1 mini: 30.4 (#286), GPT-5.2 Pro: —
| Benchmark | GPT-4.1 mini | GPT-5.2 Pro |
|---|---|---|
| SWE-bench Verified (bash only) | 23.9% | — |
| Aider Polyglot | 32.4% | — |
| SciCode | 40.4% | — |
| WeirdML | 37.6% | — |
| BigCodeBench Instruct | 48.9% | — |
| LMArena Coding | 1367 | — |
| CadEval | 16% | — |
Agentic & Tool Use Not comparable
GPT-4.1 mini: 33.0 (#52), GPT-5.2 Pro: —
| Benchmark | GPT-4.1 mini | GPT-5.2 Pro |
|---|---|---|
| Berkeley Function Calling Leaderboard | 50.5% | — |
Reasoning GPT-5.2 Pro leads
GPT-4.1 mini: 10.9 (#335), GPT-5.2 Pro: 51.8 (#31)
| Benchmark | GPT-4.1 mini | GPT-5.2 Pro |
|---|---|---|
| ARC-AGI-2 | 0% | 54.2% |
| ARC-AGI-1 | 3.5% | 90.5% |
| Epoch Capabilities Index | 135.01 | 155.41 |
| SimpleBench | — | 57.4% |
| Kagi LLM Benchmark | 48.6% | — |
| NYT Connections (extended) | — | 79.3% |
| CritPt | 0% | — |
| Chess Puzzles | 7% | — |
| LMArena Hard Prompts | 1349 | — |
| Mystery Game Puzzles | 7% | — |
| DTBench | 68.8% | — |
| LMCA | 21.1% | — |
Math GPT-5.2 Pro leads
GPT-4.1 mini: 23.1 (#264), GPT-5.2 Pro: 64.8 (#23)
| Benchmark | GPT-4.1 mini | GPT-5.2 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | 6.7% | 74% |
| FrontierMath Tier 4 | — | 46% |
| OTIS Mock AIME 2024-2025 | 44.7% | — |
| Omni-MATH | 49.1% | — |
| LMArena Math | 1343 | — |
| MATH Level 5 | 87.3% | — |
| FrontierMath (Feb 2025 set) | 4.5% | — |
| FrontierMath Tier 4 (v1) | — | 31.3% |
Knowledge Not comparable
GPT-4.1 mini: 34.7 (#183), GPT-5.2 Pro: —
| Benchmark | GPT-4.1 mini | GPT-5.2 Pro |
|---|---|---|
| GPQA Diamond | 65.8% | — |
| SimpleQA Verified | 12.7% | — |
| MMLU-Pro | 78.3% | — |
| GPQA (HELM) | 61.4% | — |
| LMArena Expert | 1338 | — |
Multimodal Not comparable
GPT-4.1 mini: 35.2 (#77), GPT-5.2 Pro: —
| Benchmark | GPT-4.1 mini | GPT-5.2 Pro |
|---|---|---|
| LMArena Vision | 1181 | — |
Multilingual Not comparable
GPT-4.1 mini: 45.9 (#161), GPT-5.2 Pro: —
| Benchmark | GPT-4.1 mini | GPT-5.2 Pro |
|---|---|---|
| LMArena Non-English | 1318 | — |
| LMArena Chinese | 1329 | — |
| LMArena French | 1357 | — |
| LMArena German | 1349 | — |
| LMArena Japanese | 1291 | — |
| LMArena Korean | 1298 | — |
| LMArena Russian | 1324 | — |
| LMArena Spanish | 1319 | — |
Instruction Following Not comparable
GPT-4.1 mini: 73.9 (#113), GPT-5.2 Pro: —
| Benchmark | GPT-4.1 mini | GPT-5.2 Pro |
|---|---|---|
| IFEval | 90.4% | — |
| LMArena Instruction Following | 1332 | — |
Long Context Not comparable
GPT-4.1 mini: 31.8 (#270), GPT-5.2 Pro: —
| Benchmark | GPT-4.1 mini | GPT-5.2 Pro |
|---|---|---|
| Fiction.LiveBench | 44.4% | — |
| LMArena Longer Query | 1344 | — |
Writing & Preference Not comparable
GPT-4.1 mini: 48.8 (#193), GPT-5.2 Pro: —
| Benchmark | GPT-4.1 mini | GPT-5.2 Pro |
|---|---|---|
| LMArena Text | 1341 | — |
| LMArena Creative Writing | 1300 | — |
| EQ-Bench Creative Writing | 1147 | — |
| WildBench | 83.8% | — |
| LMArena Multi-Turn | 1354 | — |
Frequently asked questions
Is GPT-4.1 mini better than GPT-5.2 Pro?
GPT-5.2 Pro is the stronger model overall, scoring 52.2 to 33.5 on the Noometry Index. GPT-4.1 mini costs 82× less per token, which makes it the better buy when GPT-5.2 Pro's lead doesn't matter for your workload.
Which is cheaper, GPT-4.1 mini or GPT-5.2 Pro?
GPT-4.1 mini is cheaper. It lists at $0.40 per million input tokens and $1.60 per million output tokens; GPT-5.2 Pro lists at $21 and $168.
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-5.2 Pro share?
4 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and GPT-5.2 Pro has 8.