Model comparison
GPT-4.5 vs MiniMax-M2.5
MiniMax-M2.5 is the stronger model overall, scoring 38.3 to 37.2 on the Noometry Index.
Last verified . 20 shared benchmarks.
Summary
- They share 20 benchmarks with published results for both. GPT-4.5 scores higher in 5 categories and MiniMax-M2.5 in 4 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where MiniMax-M2.5 leads 39.2 to 32.5.
- The biggest single-benchmark swing is ARC-AGI-1: 10.3% for GPT-4.5 and 63.7% for MiniMax-M2.5.
- MiniMax-M2.5 has downloadable open weights; the other is API-only.
Side by side
| GPT-4.5 | MiniMax-M2.5 | |
|---|---|---|
| Provider | OpenAI | MiniMax |
| Noometry Index | 37.2 | 38.3 |
| Released | 2025-02-27 | 2026-02-12 |
| Weights | Proprietary | Open |
| Context window | — | 205K |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.30 |
| Output $ / M tokens | — | $1.20 |
| Results tracked | 42 | 33 |
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Category by category
Coding MiniMax-M2.5 leads
GPT-4.5: 42.2 (#109), MiniMax-M2.5: 48.1 (#58)
| Benchmark | GPT-4.5 | MiniMax-M2.5 |
|---|---|---|
| LMArena Coding | 1396 | 1381 |
| SWE-bench Verified (bash only) | — | 75.8% |
| Aider Polyglot | 44.9% | — |
| LMArena WebDev | — | 1387 |
| SWE-bench Multilingual | — | 68.3% |
| WeirdML | 39.4% | — |
| LiveBench Coding | 75.2% | — |
| ALE-Bench | — | 618.17 |
Agentic & Tool Use MiniMax-M2.5 leads
GPT-4.5: 27.9 (#97), MiniMax-M2.5: 30.4 (#77)
| Benchmark | GPT-4.5 | MiniMax-M2.5 |
|---|---|---|
| Terminal-Bench | — | 42.7% |
| Cybench | 17.5% | — |
| Vending-Bench 2 | — | -23.16 |
Reasoning MiniMax-M2.5 leads
GPT-4.5: 13.9 (#330), MiniMax-M2.5: 17.5 (#292)
| Benchmark | GPT-4.5 | MiniMax-M2.5 |
|---|---|---|
| ARC-AGI-2 | 0.8% | 4.9% |
| ARC-AGI-1 | 10.3% | 63.7% |
| LMArena Hard Prompts | 1403 | 1372 |
| Epoch Capabilities Index | 136.74 | 146.68 |
| SimpleBench | 34.5% | — |
| Kagi LLM Benchmark | — | 55.2% |
| NYT Connections (extended) | — | 16.8% |
| EnigmaEval | 3.2% | — |
| LiveBench Reasoning | 71.1% | — |
| LiveBench Data Analysis | 64.3% | — |
| ForecastBench | 61.7 | — |
| LiveBench | 69% | — |
Math GPT-4.5 leads
GPT-4.5: 32.6 (#211), MiniMax-M2.5: 26.9 (#253)
| Benchmark | GPT-4.5 | MiniMax-M2.5 |
|---|---|---|
| LMArena Math | 1412 | 1378 |
| OTIS Mock AIME 2024-2025 | 37.8% | — |
| ProofBench | — | 4% |
| LiveBench Math | 69.3% | — |
| MATH Level 5 | 78.6% | — |
Knowledge MiniMax-M2.5 leads
GPT-4.5: 32.5 (#211), MiniMax-M2.5: 39.2 (#135)
| Benchmark | GPT-4.5 | MiniMax-M2.5 |
|---|---|---|
| LMArena Expert | 1394 | 1379 |
| GPQA Diamond | 68.7% | — |
| Humanity's Last Exam | 5.4% | — |
| Confabulations | 13.6% | — |
| Vectara Hallucination Rate | — | 9.1% |
Multimodal Not comparable
GPT-4.5: 37.6 (#71), MiniMax-M2.5: —
| Benchmark | GPT-4.5 | MiniMax-M2.5 |
|---|---|---|
| LMArena Vision | 1195 | — |
| VPCT | 45% | — |
Multilingual GPT-4.5 leads
GPT-4.5: 52.5 (#83), MiniMax-M2.5: 47.1 (#152)
| Benchmark | GPT-4.5 | MiniMax-M2.5 |
|---|---|---|
| LMArena Non-English | 1413 | 1338 |
| LMArena Chinese | 1421 | 1393 |
| LMArena French | 1418 | 1362 |
| LMArena German | 1457 | 1362 |
| LMArena Japanese | 1416 | 1171 |
| LMArena Korean | 1392 | 1232 |
| LMArena Russian | 1419 | 1358 |
| LMArena Spanish | — | 1354 |
Instruction Following GPT-4.5 leads
GPT-4.5: 72.6 (#134), MiniMax-M2.5: 71.5 (#148)
| Benchmark | GPT-4.5 | MiniMax-M2.5 |
|---|---|---|
| LMArena Instruction Following | 1404 | 1353 |
| LiveBench Instruction Following | 72.3% | — |
Long Context GPT-4.5 leads
GPT-4.5: 40.4 (#155), MiniMax-M2.5: 37.5 (#216)
| Benchmark | GPT-4.5 | MiniMax-M2.5 |
|---|---|---|
| LMArena Longer Query | 1406 | 1366 |
| Fiction.LiveBench | 63.9% | — |
| CL-bench | — | 11.4% |
| CL-bench Life | — | 6.3% |
Writing & Preference GPT-4.5 leads
GPT-4.5: 56.9 (#134), MiniMax-M2.5: 53.9 (#153)
| Benchmark | GPT-4.5 | MiniMax-M2.5 |
|---|---|---|
| LMArena Text | 1417 | 1359 |
| LMArena Creative Writing | 1394 | 1331 |
| EQ-Bench Creative Writing | 1258 | 1361 |
| LMArena Multi-Turn | 1444 | 1364 |
| Short-Story Creative Writing | 75.6% | — |
| LiveBench Language | 61.5% | — |
Frequently asked questions
Is GPT-4.5 better than MiniMax-M2.5?
MiniMax-M2.5 is the stronger model overall, scoring 38.3 to 37.2 on the Noometry Index.
Is GPT-4.5 or MiniMax-M2.5 better for coding?
MiniMax-M2.5 scores higher on coding benchmarks: 48.1 versus 42.2 in the Noometry coding category.
How many benchmarks do GPT-4.5 and MiniMax-M2.5 share?
20 benchmarks have published results for both models. GPT-4.5 has 42 scored results on Noometry and MiniMax-M2.5 has 33.