Model comparison
GPT-4.1 mini vs MiniMax-M2.1
MiniMax-M2.1 is the stronger model overall, scoring 38.4 to 33.5 on the Noometry Index.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. GPT-4.1 mini scores higher in 1 category and MiniMax-M2.1 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where MiniMax-M2.1 leads 35.6 to 23.1.
- MiniMax-M2.1 is cheaper at $0.30 / $1.20 per million input/output tokens, against $0.40 / $1.60 for GPT-4.1 mini.
- GPT-4.1 mini accepts more context: 1.05M tokens versus 205K.
- MiniMax-M2.1 has downloadable open weights; the other is API-only.
Side by side
| GPT-4.1 mini | MiniMax-M2.1 | |
|---|---|---|
| Provider | OpenAI | MiniMax |
| Noometry Index | 33.5 | 38.4 |
| Released | 2025-04-14 | 2025-12-23 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 205K |
| Max output | 33K | 131K |
| Input $ / M tokens | $0.40 | $0.30 |
| Output $ / M tokens | $1.60 | $1.20 |
| Results tracked | 47 | 22 |
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Category by category
Coding MiniMax-M2.1 leads
GPT-4.1 mini: 30.4 (#286), MiniMax-M2.1: 40.1 (#132)
| Benchmark | GPT-4.1 mini | MiniMax-M2.1 |
|---|---|---|
| LMArena Coding | 1367 | 1421 |
| SWE-bench Verified (bash only) | 23.9% | — |
| Aider Polyglot | 32.4% | — |
| LMArena WebDev | — | 1384 |
| SciCode | 40.4% | — |
| WeirdML | 37.6% | — |
| BigCodeBench Instruct | 48.9% | — |
| CadEval | 16% | — |
| ALE-Bench | — | 623.83 |
Agentic & Tool Use GPT-4.1 mini leads
GPT-4.1 mini: 33.0 (#52), MiniMax-M2.1: 27.7 (#91)
| Benchmark | GPT-4.1 mini | MiniMax-M2.1 |
|---|---|---|
| Terminal-Bench | — | 36.6% |
| Berkeley Function Calling Leaderboard | 50.5% | — |
Reasoning MiniMax-M2.1 leads
GPT-4.1 mini: 10.9 (#335), MiniMax-M2.1: 15.8 (#301)
| Benchmark | GPT-4.1 mini | MiniMax-M2.1 |
|---|---|---|
| LMArena Hard Prompts | 1349 | 1410 |
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 48.6% | — |
| NYT Connections (extended) | — | 11.2% |
| ARC-AGI-1 | 3.5% | — |
| CritPt | 0% | — |
| Chess Puzzles | 7% | — |
| Mystery Game Puzzles | 7% | — |
| DTBench | 68.8% | — |
| LMCA | 21.1% | — |
| Epoch Capabilities Index | 135.01 | — |
Math MiniMax-M2.1 leads
GPT-4.1 mini: 23.1 (#264), MiniMax-M2.1: 35.6 (#142)
| Benchmark | GPT-4.1 mini | MiniMax-M2.1 |
|---|---|---|
| LMArena Math | 1343 | 1396 |
| FrontierMath (Tiers 1-3) | 6.7% | — |
| OTIS Mock AIME 2024-2025 | 44.7% | — |
| Omni-MATH | 49.1% | — |
| MATH Level 5 | 87.3% | — |
| FrontierMath (Feb 2025 set) | 4.5% | — |
Knowledge MiniMax-M2.1 leads
GPT-4.1 mini: 34.7 (#183), MiniMax-M2.1: 37.7 (#143)
| Benchmark | GPT-4.1 mini | MiniMax-M2.1 |
|---|---|---|
| LMArena Expert | 1338 | 1432 |
| GPQA Diamond | 65.8% | — |
| SimpleQA Verified | 12.7% | — |
| MMLU-Pro | 78.3% | — |
| Vectara Hallucination Rate | — | 11.8% |
| GPQA (HELM) | 61.4% | — |
Multimodal Not comparable
GPT-4.1 mini: 35.2 (#77), MiniMax-M2.1: —
| Benchmark | GPT-4.1 mini | MiniMax-M2.1 |
|---|---|---|
| LMArena Vision | 1181 | — |
Multilingual MiniMax-M2.1 leads
GPT-4.1 mini: 45.9 (#161), MiniMax-M2.1: 50.2 (#123)
| Benchmark | GPT-4.1 mini | MiniMax-M2.1 |
|---|---|---|
| LMArena Non-English | 1318 | 1378 |
| LMArena Chinese | 1329 | 1430 |
| LMArena French | 1357 | 1405 |
| LMArena German | 1349 | 1380 |
| LMArena Japanese | 1291 | 1287 |
| LMArena Korean | 1298 | 1297 |
| LMArena Russian | 1324 | 1386 |
| LMArena Spanish | 1319 | 1396 |
Instruction Following Too close to call
GPT-4.1 mini: 73.9 (#113), MiniMax-M2.1: 74.0 (#108)
| Benchmark | GPT-4.1 mini | MiniMax-M2.1 |
|---|---|---|
| LMArena Instruction Following | 1332 | 1399 |
| IFEval | 90.4% | — |
Long Context MiniMax-M2.1 leads
GPT-4.1 mini: 31.8 (#270), MiniMax-M2.1: 43.2 (#98)
| Benchmark | GPT-4.1 mini | MiniMax-M2.1 |
|---|---|---|
| LMArena Longer Query | 1344 | 1416 |
| Fiction.LiveBench | 44.4% | — |
Writing & Preference MiniMax-M2.1 leads
GPT-4.1 mini: 48.8 (#193), MiniMax-M2.1: 58.5 (#114)
| Benchmark | GPT-4.1 mini | MiniMax-M2.1 |
|---|---|---|
| LMArena Text | 1341 | 1392 |
| LMArena Creative Writing | 1300 | 1362 |
| LMArena Multi-Turn | 1354 | 1396 |
| EQ-Bench Creative Writing | 1147 | — |
| WildBench | 83.8% | — |
Frequently asked questions
Is GPT-4.1 mini better than MiniMax-M2.1?
MiniMax-M2.1 is the stronger model overall, scoring 38.4 to 33.5 on the Noometry Index.
Which is cheaper, GPT-4.1 mini or MiniMax-M2.1?
MiniMax-M2.1 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; GPT-4.1 mini lists at $0.40 and $1.60.
Is GPT-4.1 mini or MiniMax-M2.1 better for coding?
MiniMax-M2.1 scores higher on coding benchmarks: 40.1 versus 30.4 in the Noometry coding category.
Which has the bigger context window?
GPT-4.1 mini does, with 1.05M tokens against 205K.
How many benchmarks do GPT-4.1 mini and MiniMax-M2.1 share?
17 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and MiniMax-M2.1 has 22.