# MiniMax M1 vs Mistral Small 3.2

> MiniMax M1 is the stronger model overall, scoring 39.7 to 30.8 on the Noometry Index. Mistral Small 3.2 costs 6.4× less per token, which makes it the better buy when MiniMax M1's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/minimax-m1-vs-mistral-small-3-2
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in math, where MiniMax M1 leads 34.8 to 24.9.
- Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $0.40 / $2.20 for MiniMax M1.
- MiniMax M1 accepts more context: 1M tokens versus 256K.

## Snapshot

| | MiniMax M1 | Mistral Small 3.2 |
|---|---|---|
| Provider | MiniMax | Mistral AI |
| Noometry Index | 39.7 | 30.8 |
| Rank | 146 | 271 |
| Context | 1M | 256K |
| Input $/M | $0.40 | $0.0938 |
| Output $/M | $2.20 | $0.25 |
| Weights | Open | Open |

## Coding

- MiniMax M1: 39.2 (#149)
- Mistral Small 3.2: —

| Benchmark | MiniMax M1 | Mistral Small 3.2 |
|---|---|---|
| LMArena Coding | 1359 | — |

## Reasoning

- MiniMax M1: 25.8 (#125)
- Mistral Small 3.2: 17.5 (#282)

| Benchmark | MiniMax M1 | Mistral Small 3.2 |
|---|---|---|
| Kagi LLM Benchmark | — | 40.4% |
| Chess Puzzles | — | 1% |
| LMArena Hard Prompts | 1340 | — |
| Epoch Capabilities Index | — | 131.73 |

## Math

- MiniMax M1: 34.8 (#152)
- Mistral Small 3.2: 24.9 (#251)

| Benchmark | MiniMax M1 | Mistral Small 3.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 30.3% |
| LMArena Math | 1360 | — |

## Knowledge

- MiniMax M1: 35.7 (#168)
- Mistral Small 3.2: 26.8 (#249)

| Benchmark | MiniMax M1 | Mistral Small 3.2 |
|---|---|---|
| GPQA Diamond | — | 49.1% |
| LMArena Expert | 1316 | — |

## Multilingual

- MiniMax M1: 46.0 (#157)
- Mistral Small 3.2: —

| Benchmark | MiniMax M1 | Mistral Small 3.2 |
|---|---|---|
| LMArena Non-English | 1320 | — |
| LMArena Chinese | 1361 | — |
| LMArena French | 1369 | — |
| LMArena German | 1350 | — |
| LMArena Japanese | 1220 | — |
| LMArena Korean | 1263 | — |
| LMArena Russian | 1330 | — |
| LMArena Spanish | 1354 | — |

## Instruction Following

- MiniMax M1: 69.5 (#169)
- Mistral Small 3.2: —

| Benchmark | MiniMax M1 | Mistral Small 3.2 |
|---|---|---|
| LMArena Instruction Following | 1312 | — |

## Long Context

- MiniMax M1: 41.4 (#136)
- Mistral Small 3.2: —

| Benchmark | MiniMax M1 | Mistral Small 3.2 |
|---|---|---|
| Fiction.LiveBench | 69.4% | — |
| LMArena Longer Query | 1326 | — |

## Writing & Preference

- MiniMax M1: 53.3 (#155)
- Mistral Small 3.2: 45.1 (#219)

| Benchmark | MiniMax M1 | Mistral Small 3.2 |
|---|---|---|
| LMArena Text | 1343 | — |
| LMArena Creative Writing | 1298 | — |
| EQ-Bench Creative Writing | — | 1255 |
| LMArena Multi-Turn | 1335 | — |

## FAQ

### Is MiniMax M1 better than Mistral Small 3.2?

MiniMax M1 is the stronger model overall, scoring 39.7 to 30.8 on the Noometry Index. Mistral Small 3.2 costs 6.4× 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 $0.40 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.