Model comparison
MiniMax M1 vs Mistral Small 3.2
MiniMax M1 is the stronger model overall, scoring 40.3 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 7.2× less per token, which makes it the better buy when MiniMax M1's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
MiniMax
Mistral AISummary
- The widest gap is in math, where MiniMax M1 leads 37.5 to 26.3.
- Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $0.55 / $2.20 for MiniMax M1.
- MiniMax M1 accepts more context: 1M tokens versus 256K.
Side by side
| MiniMax M1 | Mistral Small 3.2 | |
|---|---|---|
| Provider | MiniMax | Mistral AI |
| Noometry Index | 40.3 | 31.2 |
| Released | 2025-06-13 | 2025-06-20 |
| Weights | Open | Open |
| Context window | 1M | 256K |
| Max output | 40K | 16K |
| Input $ / M tokens | $0.55 | $0.0938 |
| Output $ / M tokens | $2.20 | $0.25 |
| Results tracked | 18 | 6 |
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Category by category
Coding Not comparable
MiniMax M1: 39.9 (#153), Mistral Small 3.2: —
| Benchmark | MiniMax M1 | Mistral Small 3.2 |
|---|---|---|
| LMArena Coding | 1359 | — |
Reasoning MiniMax M1 leads
MiniMax M1: 26.9 (#126), Mistral Small 3.2: 18.1 (#287)
| Benchmark | MiniMax M1 | Mistral Small 3.2 |
|---|---|---|
| Kagi LLM Benchmark | — | 40.4% |
| Chess Puzzles | — | 1% |
| LMArena Hard Prompts | 1339 | — |
| Epoch Capabilities Index | — | 131.74 |
Math MiniMax M1 leads
MiniMax M1: 37.5 (#151), Mistral Small 3.2: 26.3 (#260)
| Benchmark | MiniMax M1 | Mistral Small 3.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 30.3% |
| LMArena Math | 1361 | — |
Knowledge MiniMax M1 leads
MiniMax M1: 36.4 (#170), Mistral Small 3.2: 26.7 (#256)
| Benchmark | MiniMax M1 | Mistral Small 3.2 |
|---|---|---|
| GPQA Diamond | — | 49.1% |
| LMArena Expert | 1317 | — |
Multilingual Not comparable
MiniMax M1: 45.8 (#163), Mistral Small 3.2: —
| Benchmark | MiniMax M1 | Mistral Small 3.2 |
|---|---|---|
| LMArena Non-English | 1319 | — |
| LMArena Chinese | 1360 | — |
| LMArena French | 1370 | — |
| LMArena German | 1350 | — |
| LMArena Japanese | 1217 | — |
| LMArena Korean | 1266 | — |
| LMArena Russian | 1329 | — |
| LMArena Spanish | 1353 | — |
Instruction Following Not comparable
MiniMax M1: 69.3 (#174), Mistral Small 3.2: —
| Benchmark | MiniMax M1 | Mistral Small 3.2 |
|---|---|---|
| LMArena Instruction Following | 1312 | — |
Long Context Not comparable
MiniMax M1: 41.4 (#141), Mistral Small 3.2: —
| Benchmark | MiniMax M1 | Mistral Small 3.2 |
|---|---|---|
| Fiction.LiveBench | 69.4% | — |
| LMArena Longer Query | 1326 | — |
Writing & Preference MiniMax M1 leads
MiniMax M1: 53.1 (#161), Mistral Small 3.2: 45.0 (#224)
| Benchmark | MiniMax M1 | Mistral Small 3.2 |
|---|---|---|
| LMArena Text | 1343 | — |
| LMArena Creative Writing | 1298 | — |
| EQ-Bench Creative Writing | — | 1255 |
| LMArena Multi-Turn | 1335 | — |
Frequently asked questions
Is MiniMax M1 better than Mistral Small 3.2?
MiniMax M1 is the stronger model overall, scoring 40.3 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 7.2× less per token, which makes it the better buy when MiniMax M1's lead doesn't matter for your workload.
Which is cheaper, MiniMax M1 or Mistral Small 3.2?
Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; MiniMax M1 lists at $0.55 and $2.20.
Which has the bigger context window?
MiniMax M1 does, with 1M tokens against 256K.
How many benchmarks do MiniMax M1 and Mistral Small 3.2 share?
0 benchmarks have published results for both models. MiniMax M1 has 18 scored results on Noometry and Mistral Small 3.2 has 6.