# MiniMax-M2.5 vs Qwen2.5 72B Instruct

> MiniMax-M2.5 is the stronger model overall, scoring 38.3 to 31.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/minimax-m2-5-vs-qwen2-5-72b-instruct
- Last updated: 2026-10-12
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. MiniMax-M2.5 scores higher in 7 categories and Qwen2.5 72B Instruct in 2 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in coding, where MiniMax-M2.5 leads 48.1 to 33.2.
- MiniMax-M2.5 is cheaper at $0.30 / $1.20 per million input/output tokens, against $1.40 / $5.60 for Qwen2.5 72B Instruct.
- MiniMax-M2.5 accepts more context: 205K tokens versus 131K.

## Snapshot

| | MiniMax-M2.5 | Qwen2.5 72B Instruct |
|---|---|---|
| Provider | MiniMax | Alibaba (Qwen) |
| Noometry Index | 38.3 | 31.9 |
| Rank | 188 | 267 |
| Context | 205K | 131K |
| Input $/M | $0.30 | $1.40 |
| Output $/M | $1.20 | $5.60 |
| Weights | Open | Open |

## Coding

- MiniMax-M2.5: 48.1 (#58)
- Qwen2.5 72B Instruct: 33.2 (#260)

| Benchmark | MiniMax-M2.5 | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Coding | 1381 | 1292 |
| SWE-bench Verified (bash only) | 75.8% | — |
| LMArena WebDev | 1387 | — |
| SWE-bench Multilingual | 68.3% | — |
| WeirdML | — | 16% |
| BigCodeBench Instruct | — | 45.8% |
| BigCodeBench Complete | — | 55.9% |
| ALE-Bench | 618.17 | — |

## Agentic & Tool Use

- MiniMax-M2.5: 30.4 (#77)
- Qwen2.5 72B Instruct: 22.1 (#133)

| Benchmark | MiniMax-M2.5 | Qwen2.5 72B Instruct |
|---|---|---|
| Terminal-Bench | 42.7% | — |
| TheAgentCompany | — | 5.7% |
| BALROG | — | 16.2% |
| METR Time Horizons | — | 35.8% |
| Vending-Bench 2 | -23.16 | — |

## Reasoning

- MiniMax-M2.5: 17.5 (#292)
- Qwen2.5 72B Instruct: 22.3 (#199)

| Benchmark | MiniMax-M2.5 | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1372 | 1271 |
| Epoch Capabilities Index | 146.68 | 129 |
| ARC-AGI-2 | 4.9% | — |
| Kagi LLM Benchmark | 55.2% | — |
| NYT Connections (extended) | 16.8% | — |
| ARC-AGI-1 | 63.7% | — |
| DTBench | — | 62.9% |
| LMCA | — | 13.4% |
| BIG-Bench Hard | — | 79.8% |
| ForecastBench | — | 57.5 |
| HellaSwag | — | 84.8% |
| PIQA | — | 82.6% |
| WinoGrande | — | 82.3% |

## Math

- MiniMax-M2.5: 26.9 (#253)
- Qwen2.5 72B Instruct: 19.3 (#287)

| Benchmark | MiniMax-M2.5 | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Math | 1378 | 1283 |
| OTIS Mock AIME 2024-2025 | — | 8.1% |
| ProofBench | 4% | — |
| Omni-MATH | — | 33% |
| MATH Level 5 | — | 63.2% |

## Knowledge

- MiniMax-M2.5: 39.2 (#135)
- Qwen2.5 72B Instruct: 27.0 (#253)

| Benchmark | MiniMax-M2.5 | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Expert | 1379 | 1245 |
| GPQA Diamond | — | 49.1% |
| MMLU-Pro | — | 63.1% |
| Confabulations | — | 19.1% |
| Vectara Hallucination Rate | 9.1% | — |
| GPQA (HELM) | — | 42.6% |
| ARC (AI2) Challenge | — | 94.5% |
| MMLU | — | 85.3% |
| TriviaQA | — | 71.9% |

## Multilingual

- MiniMax-M2.5: 47.1 (#152)
- Qwen2.5 72B Instruct: 41.0 (#213)

| Benchmark | MiniMax-M2.5 | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Non-English | 1338 | 1252 |
| LMArena Chinese | 1393 | 1272 |
| LMArena French | 1362 | 1280 |
| LMArena German | 1362 | 1234 |
| LMArena Japanese | 1171 | 1180 |
| LMArena Korean | 1232 | 1188 |
| LMArena Russian | 1358 | 1264 |
| LMArena Spanish | 1354 | 1256 |

## Instruction Following

- MiniMax-M2.5: 71.5 (#148)
- Qwen2.5 72B Instruct: 65.5 (#221)

| Benchmark | MiniMax-M2.5 | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Instruction Following | 1353 | 1254 |
| IFEval | — | 80.6% |

## Long Context

- MiniMax-M2.5: 37.5 (#216)
- Qwen2.5 72B Instruct: 38.9 (#188)

| Benchmark | MiniMax-M2.5 | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Longer Query | 1366 | 1282 |
| CL-bench | 11.4% | — |
| CL-bench Life | 6.3% | — |

## Writing & Preference

- MiniMax-M2.5: 53.9 (#153)
- Qwen2.5 72B Instruct: 46.7 (#215)

| Benchmark | MiniMax-M2.5 | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Text | 1359 | 1269 |
| LMArena Creative Writing | 1331 | 1221 |
| LMArena Multi-Turn | 1364 | 1272 |
| EQ-Bench Creative Writing | 1361 | — |
| WildBench | — | 80.2% |

## FAQ

### Is MiniMax-M2.5 better than Qwen2.5 72B Instruct?

MiniMax-M2.5 is the stronger model overall, scoring 38.3 to 31.9 on the Noometry Index.

### Which is cheaper, MiniMax-M2.5 or Qwen2.5 72B Instruct?

MiniMax-M2.5 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; Qwen2.5 72B Instruct lists at $1.40 and $5.60.

### Is MiniMax-M2.5 or Qwen2.5 72B Instruct better for coding?

MiniMax-M2.5 scores higher on coding benchmarks: 48.1 versus 33.2 in the Noometry coding category.

### Which has the bigger context window?

MiniMax-M2.5 does, with 205K tokens against 131K.

### How many benchmarks do MiniMax-M2.5 and Qwen2.5 72B Instruct share?

18 benchmarks have published results for both models. MiniMax-M2.5 has 33 scored results on Noometry and Qwen2.5 72B Instruct has 43.