Model comparison
MiniMax-M2 vs Qwen1.5-7B
MiniMax-M2 is the stronger model overall, scoring 36.9 to 30.8 on the Noometry Index.
Last verified . 12 shared benchmarks.
MiniMax
Alibaba (Qwen)Summary
- They share 12 benchmarks with published results for both. MiniMax-M2 scores higher in 7 categories and Qwen1.5-7B in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiniMax-M2 leads 53.3 to 29.8.
Side by side
| MiniMax-M2 | Qwen1.5-7B | |
|---|---|---|
| Provider | MiniMax | Alibaba (Qwen) |
| Noometry Index | 36.9 | 30.8 |
| Released | 2025-10-27 | 2024-02-04 |
| Weights | Open | Open |
| Context window | 205K | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.30 | — |
| Output $ / M tokens | $1.20 | — |
| Results tracked | 21 | 13 |
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Category by category
Coding MiniMax-M2 leads
MiniMax-M2: 39.1 (#151), Qwen1.5-7B: 31.6 (#271)
| Benchmark | MiniMax-M2 | Qwen1.5-7B |
|---|---|---|
| LMArena Coding | 1370 | 1107 |
| SWE-bench Verified (bash only) | 61% | — |
| LMArena WebDev | 1297 | — |
Agentic & Tool Use Not comparable
MiniMax-M2: 24.9 (#102), Qwen1.5-7B: —
| Benchmark | MiniMax-M2 | Qwen1.5-7B |
|---|---|---|
| Terminal-Bench | 30% | — |
| Vending-Bench 2 | 160.6 | — |
Reasoning Too close to call
MiniMax-M2: 18.6 (#256), Qwen1.5-7B: 19.5 (#237)
| Benchmark | MiniMax-M2 | Qwen1.5-7B |
|---|---|---|
| LMArena Hard Prompts | 1357 | 1066 |
| Kagi LLM Benchmark | 57.8% | — |
| NYT Connections (extended) | 14.8% | — |
Math MiniMax-M2 leads
MiniMax-M2: 34.6 (#158), Qwen1.5-7B: 29.0 (#222)
| Benchmark | MiniMax-M2 | Qwen1.5-7B |
|---|---|---|
| LMArena Math | 1350 | 1080 |
Knowledge MiniMax-M2 leads
MiniMax-M2: 36.3 (#160), Qwen1.5-7B: 28.2 (#239)
| Benchmark | MiniMax-M2 | Qwen1.5-7B |
|---|---|---|
| LMArena Expert | 1336 | 1055 |
| MMLU | — | 62.6% |
Multilingual MiniMax-M2 leads
MiniMax-M2: 45.6 (#165), Qwen1.5-7B: 28.6 (#266)
| Benchmark | MiniMax-M2 | Qwen1.5-7B |
|---|---|---|
| LMArena Non-English | 1314 | 1058 |
| LMArena Chinese | 1367 | 1140 |
| LMArena Russian | 1332 | 1006 |
| LMArena French | 1336 | — |
| LMArena German | 1366 | — |
| LMArena Spanish | 1326 | — |
Instruction Following MiniMax-M2 leads
MiniMax-M2: 70.4 (#160), Qwen1.5-7B: 54.4 (#276)
| Benchmark | MiniMax-M2 | Qwen1.5-7B |
|---|---|---|
| LMArena Instruction Following | 1329 | 1058 |
Long Context MiniMax-M2 leads
MiniMax-M2: 40.5 (#148), Qwen1.5-7B: 33.1 (#261)
| Benchmark | MiniMax-M2 | Qwen1.5-7B |
|---|---|---|
| LMArena Longer Query | 1332 | 1090 |
Writing & Preference MiniMax-M2 leads
MiniMax-M2: 53.3 (#157), Qwen1.5-7B: 29.8 (#288)
| Benchmark | MiniMax-M2 | Qwen1.5-7B |
|---|---|---|
| LMArena Text | 1340 | 1084 |
| LMArena Creative Writing | 1288 | 1035 |
| LMArena Multi-Turn | 1362 | 1061 |
Frequently asked questions
Is MiniMax-M2 better than Qwen1.5-7B?
MiniMax-M2 is the stronger model overall, scoring 36.9 to 30.8 on the Noometry Index.
Is MiniMax-M2 or Qwen1.5-7B better for coding?
MiniMax-M2 scores higher on coding benchmarks: 39.1 versus 31.6 in the Noometry coding category.
How many benchmarks do MiniMax-M2 and Qwen1.5-7B share?
12 benchmarks have published results for both models. MiniMax-M2 has 21 scored results on Noometry and Qwen1.5-7B has 13.