# MiniMax-M3 vs Mixtral 8x7B

> MiniMax-M3 is the stronger model overall, scoring 43.8 to 27.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/minimax-m3-vs-mixtral-8x7b
- Last updated: 2026-10-10
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. MiniMax-M3 scores higher in 8 categories and Mixtral 8x7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where MiniMax-M3 leads 58.4 to 11.0.
- The biggest single-benchmark swing is GPQA Diamond: 90.9% for MiniMax-M3 and 30.6% for Mixtral 8x7B.
- MiniMax-M3 is cheaper at $0.30 / $1.20 per million input/output tokens, against $0.70 / $0.70 for Mixtral 8x7B.
- MiniMax-M3 accepts more context: 1M tokens versus 32K.

## Snapshot

| | MiniMax-M3 | Mixtral 8x7B |
|---|---|---|
| Provider | MiniMax | Mistral AI |
| Noometry Index | 43.8 | 27.1 |
| Rank | 85 | 334 |
| Context | 1M | 32K |
| Input $/M | $0.30 | $0.70 |
| Output $/M | $1.20 | $0.70 |
| Weights | Open | Open |

## Coding

- MiniMax-M3: 41.8 (#118)
- Mixtral 8x7B: 32.8 (#269)

| Benchmark | MiniMax-M3 | Mixtral 8x7B |
|---|---|---|
| LMArena Coding | 1469 | 1126 |
| FrontierCode | 14.7% | — |
| LMArena WebDev | 1482 | — |
| SciCode | 47.1% | — |
| ALE-Bench | 640.02 | — |
| HumanEval+ | — | 39.6% |
| MBPP+ | — | 49.7% |

## Agentic & Tool Use

- MiniMax-M3: 22.6 (#130)
- Mixtral 8x7B: —

| Benchmark | MiniMax-M3 | Mixtral 8x7B |
|---|---|---|
| APEX-Agents | 37.7% | — |
| OSWorld 2.0 | 4.6% | — |
| GBAEval | 0.9% | — |
| Vending-Bench 2 | 2,158 | — |

## Reasoning

- MiniMax-M3: 30.1 (#87)
- Mixtral 8x7B: 18.2 (#285)

| Benchmark | MiniMax-M3 | Mixtral 8x7B |
|---|---|---|
| LMArena Hard Prompts | 1447 | 1115 |
| DTBench | 78.9% | 49.6% |
| Epoch Capabilities Index | 146.95 | 118.47 |
| ForecastBench | 61.4 | 56.3 |
| SimpleBench | 45.8% | — |
| NYT Connections (extended) | 65.1% | — |
| CritPt | 3.7% | — |
| Chess Puzzles | 14% | — |
| Mystery Game Puzzles | 8% | — |
| LMCA | 33.7% | — |
| Surface Evolver Bench | 55% | — |
| Adversarial NLI | — | 55.2% |
| HellaSwag | — | 86.7% |
| PIQA | — | 83.6% |
| WinoGrande | — | 77.2% |

## Math

- MiniMax-M3: 40.0 (#95)
- Mixtral 8x7B: 18.8 (#289)

| Benchmark | MiniMax-M3 | Mixtral 8x7B |
|---|---|---|
| LMArena Math | 1429 | 1147 |
| OTIS Mock AIME 2024-2025 | 71.1% | — |
| ProofBench | 18% | — |
| Omni-MATH | — | 10.5% |
| MATH Level 5 | — | 10% |
| GSM8K | — | 74.4% |

## Knowledge

- MiniMax-M3: 58.4 (#35)
- Mixtral 8x7B: 11.0 (#301)

| Benchmark | MiniMax-M3 | Mixtral 8x7B |
|---|---|---|
| GPQA Diamond | 90.9% | 30.6% |
| LMArena Expert | 1461 | 1088 |
| MMLU-Pro | — | 33.5% |
| GPQA (HELM) | — | 29.6% |
| ARC (AI2) Challenge | — | 87.3% |
| MMLU | — | 70.6% |
| OpenBookQA | — | 85.8% |
| TriviaQA | — | 82.2% |

## Multimodal

- MiniMax-M3: 40.2 (#51)
- Mixtral 8x7B: —

| Benchmark | MiniMax-M3 | Mixtral 8x7B |
|---|---|---|
| LMArena Vision | 1253 | — |
| LMArena Document | 1435 | — |

## Multilingual

- MiniMax-M3: 53.0 (#75)
- Mixtral 8x7B: 29.6 (#266)

| Benchmark | MiniMax-M3 | Mixtral 8x7B |
|---|---|---|
| LMArena Non-English | 1420 | 1077 |
| LMArena Chinese | 1463 | 1055 |
| LMArena French | 1447 | 1166 |
| LMArena German | 1426 | 1114 |
| LMArena Japanese | 1381 | 931 |
| LMArena Korean | 1372 | 968 |
| LMArena Russian | 1428 | 1090 |
| LMArena Spanish | 1432 | 1111 |

## Instruction Following

- MiniMax-M3: 75.5 (#62)
- Mixtral 8x7B: 51.0 (#297)

| Benchmark | MiniMax-M3 | Mixtral 8x7B |
|---|---|---|
| LMArena Instruction Following | 1433 | 1109 |
| IFEval | — | 57.5% |

## Long Context

- MiniMax-M3: 44.2 (#72)
- Mixtral 8x7B: 33.4 (#260)

| Benchmark | MiniMax-M3 | Mixtral 8x7B |
|---|---|---|
| LMArena Longer Query | 1445 | 1103 |

## Writing & Preference

- MiniMax-M3: 62.1 (#83)
- Mixtral 8x7B: 34.2 (#270)

| Benchmark | MiniMax-M3 | Mixtral 8x7B |
|---|---|---|
| LMArena Text | 1433 | 1132 |
| LMArena Creative Writing | 1404 | 1109 |
| LMArena Multi-Turn | 1442 | 1115 |
| WildBench | — | 67.3% |
| EQ-Bench 4 | 1150 | — |

## FAQ

### Is MiniMax-M3 better than Mixtral 8x7B?

MiniMax-M3 is the stronger model overall, scoring 43.8 to 27.1 on the Noometry Index.

### Which is cheaper, MiniMax-M3 or Mixtral 8x7B?

MiniMax-M3 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; Mixtral 8x7B lists at $0.70 and $0.70.

### Is MiniMax-M3 or Mixtral 8x7B better for coding?

MiniMax-M3 scores higher on coding benchmarks: 41.8 versus 32.8 in the Noometry coding category.

### Which has the bigger context window?

MiniMax-M3 does, with 1M tokens against 32K.

### How many benchmarks do MiniMax-M3 and Mixtral 8x7B share?

21 benchmarks have published results for both models. MiniMax-M3 has 41 scored results on Noometry and Mixtral 8x7B has 38.