Model comparison
MiniMax-M2 vs Qwen2.5-Coder-32B
MiniMax-M2 is the stronger model overall, scoring 37.4 to 33.4 on the Noometry Index.
Last verified . 13 shared benchmarks.
MiniMax
Alibaba (Qwen)Summary
- They share 13 benchmarks with published results for both. MiniMax-M2 scores higher in 7 categories and Qwen2.5-Coder-32B in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in coding, where MiniMax-M2 leads 39.3 to 22.6.
- The biggest single-benchmark swing is SWE-bench Verified (bash only): 61% for MiniMax-M2 and 9% for Qwen2.5-Coder-32B.
- MiniMax-M2 is cheaper at $0.30 / $1.20 per million input/output tokens, against $0.66 / $1 for Qwen2.5-Coder-32B.
- MiniMax-M2 accepts more context: 205K tokens versus 33K.
Side by side
| MiniMax-M2 | Qwen2.5-Coder-32B | |
|---|---|---|
| Provider | MiniMax | Alibaba (Qwen) |
| Noometry Index | 37.4 | 33.4 |
| Released | 2025-10-27 | 2024-09-18 |
| Weights | Open | Open |
| Context window | 205K | 33K |
| Max output | 131K | 29K |
| Input $ / M tokens | $0.30 | $0.66 |
| Output $ / M tokens | $1.20 | $1 |
| Results tracked | 21 | 31 |
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Category by category
Coding MiniMax-M2 leads
MiniMax-M2: 39.3 (#159), Qwen2.5-Coder-32B: 22.6 (#333)
| Benchmark | MiniMax-M2 | Qwen2.5-Coder-32B |
|---|---|---|
| SWE-bench Verified (bash only) | 61% | 9% |
| LMArena Coding | 1370 | 1276 |
| Aider Polyglot | — | 16.4% |
| LMArena WebDev | 1297 | — |
| BigCodeBench Instruct | — | 49% |
| LiveBench Coding | — | 56.9% |
| BigCodeBench Complete | — | 58% |
| HumanEval+ | — | 87.2% |
| MBPP+ | — | 77% |
Agentic & Tool Use Not comparable
MiniMax-M2: 25.1 (#109), Qwen2.5-Coder-32B: —
| Benchmark | MiniMax-M2 | Qwen2.5-Coder-32B |
|---|---|---|
| Terminal-Bench | 30% | — |
| Vending-Bench 2 | 160.6 | — |
Reasoning Qwen2.5-Coder-32B leads
MiniMax-M2: 19.4 (#258), Qwen2.5-Coder-32B: 21.2 (#225)
| Benchmark | MiniMax-M2 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Hard Prompts | 1357 | 1251 |
| Kagi LLM Benchmark | 57.8% | — |
| NYT Connections (extended) | 14.8% | — |
| LiveBench Reasoning | — | 42.1% |
| LiveBench Data Analysis | — | 49.9% |
| Epoch Capabilities Index | — | 119.49 |
| HellaSwag | — | 83% |
| LiveBench | — | 46.2% |
| WinoGrande | — | 80.8% |
Math MiniMax-M2 leads
MiniMax-M2: 37.3 (#160), Qwen2.5-Coder-32B: 33.3 (#204)
| Benchmark | MiniMax-M2 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Math | 1352 | 1251 |
| LiveBench Math | — | 46.6% |
| GSM8K | — | 93% |
Knowledge MiniMax-M2 leads
MiniMax-M2: 37.0 (#163), Qwen2.5-Coder-32B: 33.4 (#203)
| Benchmark | MiniMax-M2 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Expert | 1337 | 1221 |
| ARC (AI2) Challenge | — | 70.5% |
| MMLU | — | 79.1% |
Multilingual MiniMax-M2 leads
MiniMax-M2: 45.3 (#171), Qwen2.5-Coder-32B: 37.8 (#235)
| Benchmark | MiniMax-M2 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Non-English | 1313 | 1205 |
| LMArena Chinese | 1366 | 1222 |
| LMArena Russian | 1331 | 1228 |
| LMArena French | 1335 | — |
| LMArena German | 1355 | — |
| LMArena Spanish | 1326 | — |
Instruction Following MiniMax-M2 leads
MiniMax-M2: 70.2 (#166), Qwen2.5-Coder-32B: 61.4 (#245)
| Benchmark | MiniMax-M2 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Instruction Following | 1328 | 1223 |
| LiveBench Instruction Following | — | 58.7% |
Long Context MiniMax-M2 leads
MiniMax-M2: 40.5 (#153), Qwen2.5-Coder-32B: 38.0 (#208)
| Benchmark | MiniMax-M2 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Longer Query | 1331 | 1251 |
Writing & Preference MiniMax-M2 leads
MiniMax-M2: 53.0 (#162), Qwen2.5-Coder-32B: 41.6 (#240)
| Benchmark | MiniMax-M2 | Qwen2.5-Coder-32B |
|---|---|---|
| LMArena Text | 1340 | 1230 |
| LMArena Creative Writing | 1286 | 1174 |
| LMArena Multi-Turn | 1361 | 1222 |
| LiveBench Language | — | 23.3% |
Frequently asked questions
Is MiniMax-M2 better than Qwen2.5-Coder-32B?
MiniMax-M2 is the stronger model overall, scoring 37.4 to 33.4 on the Noometry Index.
Which is cheaper, MiniMax-M2 or Qwen2.5-Coder-32B?
MiniMax-M2 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; Qwen2.5-Coder-32B lists at $0.66 and $1.
Is MiniMax-M2 or Qwen2.5-Coder-32B better for coding?
MiniMax-M2 scores higher on coding benchmarks: 39.3 versus 22.6 in the Noometry coding category.
Which has the bigger context window?
MiniMax-M2 does, with 205K tokens against 33K.
How many benchmarks do MiniMax-M2 and Qwen2.5-Coder-32B share?
13 benchmarks have published results for both models. MiniMax-M2 has 21 scored results on Noometry and Qwen2.5-Coder-32B has 31.