Model comparison
MiniMax-M2 vs Qwen-14B
MiniMax-M2 is the stronger model overall, scoring 37.4 to 31.4 on the Noometry Index.
Last verified . 10 shared benchmarks.
MiniMax
Alibaba (Qwen)Summary
- They share 10 benchmarks with published results for both. MiniMax-M2 scores higher in 6 categories and Qwen-14B in 1 category; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiniMax-M2 leads 53.0 to 27.6.
Side by side
| MiniMax-M2 | Qwen-14B | |
|---|---|---|
| Provider | MiniMax | Alibaba (Qwen) |
| Noometry Index | 37.4 | 31.4 |
| Released | 2025-10-27 | 2023-09-24 |
| Weights | Open | Open |
| Context window | 205K | — |
| Max output | 131K | — |
| Input $ / M tokens | $0.30 | — |
| Output $ / M tokens | $1.20 | — |
| Results tracked | 21 | 18 |
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Category by category
Coding MiniMax-M2 leads
MiniMax-M2: 39.3 (#159), Qwen-14B: 31.2 (#288)
| Benchmark | MiniMax-M2 | Qwen-14B |
|---|---|---|
| LMArena Coding | 1370 | 1071 |
| SWE-bench Verified (bash only) | 61% | — |
| LMArena WebDev | 1297 | — |
Agentic & Tool Use Not comparable
MiniMax-M2: 25.1 (#109), Qwen-14B: —
| Benchmark | MiniMax-M2 | Qwen-14B |
|---|---|---|
| Terminal-Bench | 30% | — |
| Vending-Bench 2 | 160.6 | — |
Reasoning Too close to call
MiniMax-M2: 19.4 (#258), Qwen-14B: 19.6 (#257)
| Benchmark | MiniMax-M2 | Qwen-14B |
|---|---|---|
| LMArena Hard Prompts | 1357 | 1027 |
| Kagi LLM Benchmark | 57.8% | — |
| NYT Connections (extended) | 14.8% | — |
| BIG-Bench Hard | — | 55% |
| Epoch Capabilities Index | — | 113.03 |
| LAMBADA | — | 71.1% |
| PIQA | — | 79.9% |
Math MiniMax-M2 leads
MiniMax-M2: 37.3 (#160), Qwen-14B: 31.2 (#227)
| Benchmark | MiniMax-M2 | Qwen-14B |
|---|---|---|
| LMArena Math | 1352 | 1068 |
| GSM8K | — | 61.3% |
Knowledge Not comparable
MiniMax-M2: 37.0 (#163), Qwen-14B: —
| Benchmark | MiniMax-M2 | Qwen-14B |
|---|---|---|
| LMArena Expert | 1337 | — |
| ARC (AI2) Challenge | — | 84.4% |
| BoolQ | — | 86.2% |
| MMLU | — | 66.3% |
Multilingual MiniMax-M2 leads
MiniMax-M2: 45.3 (#171), Qwen-14B: 27.5 (#275)
| Benchmark | MiniMax-M2 | Qwen-14B |
|---|---|---|
| LMArena Non-English | 1313 | 1041 |
| LMArena Chinese | 1366 | 1077 |
| LMArena French | 1335 | — |
| LMArena German | 1355 | — |
| LMArena Russian | 1331 | — |
| LMArena Spanish | 1326 | — |
Instruction Following MiniMax-M2 leads
MiniMax-M2: 70.2 (#166), Qwen-14B: 52.4 (#289)
| Benchmark | MiniMax-M2 | Qwen-14B |
|---|---|---|
| LMArena Instruction Following | 1328 | 1031 |
Long Context MiniMax-M2 leads
MiniMax-M2: 40.5 (#153), Qwen-14B: 31.3 (#280)
| Benchmark | MiniMax-M2 | Qwen-14B |
|---|---|---|
| LMArena Longer Query | 1331 | 1028 |
Writing & Preference MiniMax-M2 leads
MiniMax-M2: 53.0 (#162), Qwen-14B: 27.6 (#299)
| Benchmark | MiniMax-M2 | Qwen-14B |
|---|---|---|
| LMArena Text | 1340 | 1051 |
| LMArena Creative Writing | 1286 | 1028 |
| LMArena Multi-Turn | 1361 | 1022 |
Frequently asked questions
Is MiniMax-M2 better than Qwen-14B?
MiniMax-M2 is the stronger model overall, scoring 37.4 to 31.4 on the Noometry Index.
Is MiniMax-M2 or Qwen-14B better for coding?
MiniMax-M2 scores higher on coding benchmarks: 39.3 versus 31.2 in the Noometry coding category.
How many benchmarks do MiniMax-M2 and Qwen-14B share?
10 benchmarks have published results for both models. MiniMax-M2 has 21 scored results on Noometry and Qwen-14B has 18.