Model comparison
GPT-4.5 vs MiniMax-M3
MiniMax-M3 is the stronger model overall, scoring 43.8 to 37.2 on the Noometry Index.
Last verified . 22 shared benchmarks.
Summary
- They share 22 benchmarks with published results for both. GPT-4.5 scores higher in 2 categories and MiniMax-M3 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where MiniMax-M3 leads 58.4 to 32.5.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 37.8% for GPT-4.5 and 71.1% for MiniMax-M3.
- MiniMax-M3 has downloadable open weights; the other is API-only.
Side by side
| GPT-4.5 | MiniMax-M3 | |
|---|---|---|
| Provider | OpenAI | MiniMax |
| Noometry Index | 37.2 | 43.8 |
| Released | 2025-02-27 | 2026-06-01 |
| Weights | Proprietary | Open |
| Context window | — | 1M |
| Max output | — | 512K |
| Input $ / M tokens | — | $0.30 |
| Output $ / M tokens | — | $1.20 |
| Results tracked | 42 | 41 |
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Category by category
Coding Too close to call
GPT-4.5: 42.2 (#109), MiniMax-M3: 41.8 (#118)
| Benchmark | GPT-4.5 | MiniMax-M3 |
|---|---|---|
| LMArena Coding | 1396 | 1469 |
| FrontierCode | — | 14.7% |
| Aider Polyglot | 44.9% | — |
| LMArena WebDev | — | 1482 |
| SciCode | — | 47.1% |
| WeirdML | 39.4% | — |
| LiveBench Coding | 75.2% | — |
| ALE-Bench | — | 640.02 |
Agentic & Tool Use GPT-4.5 leads
GPT-4.5: 27.9 (#97), MiniMax-M3: 22.6 (#130)
| Benchmark | GPT-4.5 | MiniMax-M3 |
|---|---|---|
| APEX-Agents | — | 37.7% |
| OSWorld 2.0 | — | 4.6% |
| Cybench | 17.5% | — |
| GBAEval | — | 0.9% |
| Vending-Bench 2 | — | 2,158 |
Reasoning MiniMax-M3 leads
GPT-4.5: 13.9 (#330), MiniMax-M3: 30.1 (#87)
| Benchmark | GPT-4.5 | MiniMax-M3 |
|---|---|---|
| SimpleBench | 34.5% | 45.8% |
| LMArena Hard Prompts | 1403 | 1447 |
| Epoch Capabilities Index | 136.74 | 146.95 |
| ForecastBench | 61.7 | 61.4 |
| ARC-AGI-2 | 0.8% | — |
| NYT Connections (extended) | — | 65.1% |
| ARC-AGI-1 | 10.3% | — |
| CritPt | — | 3.7% |
| Chess Puzzles | — | 14% |
| EnigmaEval | 3.2% | — |
| LiveBench Reasoning | 71.1% | — |
| Mystery Game Puzzles | — | 8% |
| DTBench | — | 78.9% |
| LiveBench Data Analysis | 64.3% | — |
| LMCA | — | 33.7% |
| Surface Evolver Bench | — | 55% |
| LiveBench | 69% | — |
Math MiniMax-M3 leads
GPT-4.5: 32.6 (#211), MiniMax-M3: 40.0 (#95)
| Benchmark | GPT-4.5 | MiniMax-M3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 37.8% | 71.1% |
| LMArena Math | 1412 | 1429 |
| ProofBench | — | 18% |
| LiveBench Math | 69.3% | — |
| MATH Level 5 | 78.6% | — |
Knowledge MiniMax-M3 leads
GPT-4.5: 32.5 (#211), MiniMax-M3: 58.4 (#35)
| Benchmark | GPT-4.5 | MiniMax-M3 |
|---|---|---|
| GPQA Diamond | 68.7% | 90.9% |
| LMArena Expert | 1394 | 1461 |
| Humanity's Last Exam | 5.4% | — |
| Confabulations | 13.6% | — |
Multimodal MiniMax-M3 leads
GPT-4.5: 37.6 (#71), MiniMax-M3: 40.2 (#51)
| Benchmark | GPT-4.5 | MiniMax-M3 |
|---|---|---|
| LMArena Vision | 1195 | 1253 |
| VPCT | 45% | — |
| LMArena Document | — | 1435 |
Multilingual Too close to call
GPT-4.5: 52.5 (#83), MiniMax-M3: 53.0 (#75)
| Benchmark | GPT-4.5 | MiniMax-M3 |
|---|---|---|
| LMArena Non-English | 1413 | 1420 |
| LMArena Chinese | 1421 | 1463 |
| LMArena French | 1418 | 1447 |
| LMArena German | 1457 | 1426 |
| LMArena Japanese | 1416 | 1381 |
| LMArena Korean | 1392 | 1372 |
| LMArena Russian | 1419 | 1428 |
| LMArena Spanish | — | 1432 |
Instruction Following MiniMax-M3 leads
GPT-4.5: 72.6 (#134), MiniMax-M3: 75.5 (#62)
| Benchmark | GPT-4.5 | MiniMax-M3 |
|---|---|---|
| LMArena Instruction Following | 1404 | 1433 |
| LiveBench Instruction Following | 72.3% | — |
Long Context MiniMax-M3 leads
GPT-4.5: 40.4 (#155), MiniMax-M3: 44.2 (#72)
| Benchmark | GPT-4.5 | MiniMax-M3 |
|---|---|---|
| LMArena Longer Query | 1406 | 1445 |
| Fiction.LiveBench | 63.9% | — |
Writing & Preference MiniMax-M3 leads
GPT-4.5: 56.9 (#134), MiniMax-M3: 62.1 (#83)
| Benchmark | GPT-4.5 | MiniMax-M3 |
|---|---|---|
| LMArena Text | 1417 | 1433 |
| LMArena Creative Writing | 1394 | 1404 |
| LMArena Multi-Turn | 1444 | 1442 |
| Short-Story Creative Writing | 75.6% | — |
| EQ-Bench Creative Writing | 1258 | — |
| EQ-Bench 4 | — | 1150 |
| LiveBench Language | 61.5% | — |
Frequently asked questions
Is GPT-4.5 better than MiniMax-M3?
MiniMax-M3 is the stronger model overall, scoring 43.8 to 37.2 on the Noometry Index.
Is GPT-4.5 or MiniMax-M3 better for coding?
They score almost the same on coding (42.2 vs 41.8); test both on your own repository before choosing.
How many benchmarks do GPT-4.5 and MiniMax-M3 share?
22 benchmarks have published results for both models. GPT-4.5 has 42 scored results on Noometry and MiniMax-M3 has 41.