Model comparison
MiniMax-M2 vs Qwen2.5 32B Instruct
MiniMax-M2 is the stronger model overall, scoring 37.4 to 30.1 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in math, where MiniMax-M2 leads 37.3 to 16.2.
- MiniMax-M2 is cheaper at $0.30 / $1.20 per million input/output tokens, against $0.70 / $2.80 for Qwen2.5 32B Instruct.
- MiniMax-M2 accepts more context: 205K tokens versus 131K.
Side by side
| MiniMax-M2 | Qwen2.5 32B Instruct | |
|---|---|---|
| Provider | MiniMax | Alibaba (Qwen) |
| Noometry Index | 37.4 | 30.1 |
| Released | 2025-10-27 | 2024-09 |
| Weights | Open | Open |
| Context window | 205K | 131K |
| Max output | 131K | 8K |
| Input $ / M tokens | $0.30 | $0.70 |
| Output $ / M tokens | $1.20 | $2.80 |
| Results tracked | 21 | 7 |
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Category by category
Coding Too close to call
MiniMax-M2: 39.3 (#159), Qwen2.5 32B Instruct: 38.7 (#169)
| Benchmark | MiniMax-M2 | Qwen2.5 32B Instruct |
|---|---|---|
| SWE-bench Verified (bash only) | 61% | — |
| LMArena WebDev | 1297 | — |
| BigCodeBench Instruct | — | 45% |
| LMArena Coding | 1370 | — |
| BigCodeBench Complete | — | 52.3% |
Agentic & Tool Use Not comparable
MiniMax-M2: 25.1 (#109), Qwen2.5 32B Instruct: —
| Benchmark | MiniMax-M2 | Qwen2.5 32B Instruct |
|---|---|---|
| Terminal-Bench | 30% | — |
| Vending-Bench 2 | 160.6 | — |
Reasoning Too close to call
MiniMax-M2: 19.4 (#258), Qwen2.5 32B Instruct: 19.2 (#266)
| Benchmark | MiniMax-M2 | Qwen2.5 32B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 57.8% | — |
| NYT Connections (extended) | 14.8% | — |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1357 | — |
| Epoch Capabilities Index | — | 128.52 |
Math MiniMax-M2 leads
MiniMax-M2: 37.3 (#160), Qwen2.5 32B Instruct: 16.2 (#296)
| Benchmark | MiniMax-M2 | Qwen2.5 32B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 7.4% |
| LMArena Math | 1352 | — |
| MATH Level 5 | — | 56.1% |
Knowledge MiniMax-M2 leads
MiniMax-M2: 37.0 (#163), Qwen2.5 32B Instruct: 24.9 (#266)
| Benchmark | MiniMax-M2 | Qwen2.5 32B Instruct |
|---|---|---|
| GPQA Diamond | — | 46.1% |
| LMArena Expert | 1337 | — |
Multilingual Not comparable
MiniMax-M2: 45.3 (#171), Qwen2.5 32B Instruct: —
| Benchmark | MiniMax-M2 | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Non-English | 1313 | — |
| LMArena Chinese | 1366 | — |
| LMArena French | 1335 | — |
| LMArena German | 1355 | — |
| LMArena Russian | 1331 | — |
| LMArena Spanish | 1326 | — |
Instruction Following Not comparable
MiniMax-M2: 70.2 (#166), Qwen2.5 32B Instruct: —
| Benchmark | MiniMax-M2 | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Instruction Following | 1328 | — |
Long Context Not comparable
MiniMax-M2: 40.5 (#153), Qwen2.5 32B Instruct: —
| Benchmark | MiniMax-M2 | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Longer Query | 1331 | — |
Writing & Preference Not comparable
MiniMax-M2: 53.0 (#162), Qwen2.5 32B Instruct: —
| Benchmark | MiniMax-M2 | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Text | 1340 | — |
| LMArena Creative Writing | 1286 | — |
| LMArena Multi-Turn | 1361 | — |
Frequently asked questions
Is MiniMax-M2 better than Qwen2.5 32B Instruct?
MiniMax-M2 is the stronger model overall, scoring 37.4 to 30.1 on the Noometry Index.
Which is cheaper, MiniMax-M2 or Qwen2.5 32B Instruct?
MiniMax-M2 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; Qwen2.5 32B Instruct lists at $0.70 and $2.80.
Is MiniMax-M2 or Qwen2.5 32B Instruct better for coding?
They score almost the same on coding (39.3 vs 38.7); test both on your own repository before choosing.
Which has the bigger context window?
MiniMax-M2 does, with 205K tokens against 131K.
How many benchmarks do MiniMax-M2 and Qwen2.5 32B Instruct share?
0 benchmarks have published results for both models. MiniMax-M2 has 21 scored results on Noometry and Qwen2.5 32B Instruct has 7.