# Llama 3-70B vs MiniMax-M2.1

> MiniMax-M2.1 is the stronger model overall, scoring 38.9 to 28.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-3-70b-vs-minimax-m2-1
- Last updated: 2026-10-12
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. Llama 3-70B scores higher in 1 category and MiniMax-M2.1 in 8 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where MiniMax-M2.1 leads 38.3 to 12.8.

## Snapshot

| | Llama 3-70B | MiniMax-M2.1 |
|---|---|---|
| Provider | Meta | MiniMax |
| Noometry Index | 28.8 | 38.9 |
| Rank | 323 | 178 |
| Context | — | 205K |
| Input $/M | — | $0.30 |
| Output $/M | — | $1.20 |
| Weights | Open | Open |

## Coding

- Llama 3-70B: 35.8 (#218)
- MiniMax-M2.1: 40.4 (#143)

| Benchmark | Llama 3-70B | MiniMax-M2.1 |
|---|---|---|
| LMArena Coding | 1206 | 1421 |
| LMArena WebDev | — | 1384 |
| BigCodeBench Instruct | 43.6% | — |
| BigCodeBench Complete | 54.5% | — |
| ALE-Bench | — | 623.83 |
| HumanEval+ | 72% | — |
| MBPP+ | 69% | — |

## Agentic & Tool Use

- Llama 3-70B: 21.1 (#139)
- MiniMax-M2.1: 27.9 (#98)

| Benchmark | Llama 3-70B | MiniMax-M2.1 |
|---|---|---|
| Terminal-Bench | — | 36.6% |
| Cybench | 5% | — |

## Reasoning

- Llama 3-70B: 18.0 (#288)
- MiniMax-M2.1: 16.6 (#302)

| Benchmark | Llama 3-70B | MiniMax-M2.1 |
|---|---|---|
| LMArena Hard Prompts | 1195 | 1411 |
| Kagi LLM Benchmark | 35.1% | — |
| NYT Connections (extended) | — | 11.2% |
| DTBench | 54.2% | — |
| Epoch Capabilities Index | 122.93 | — |
| ForecastBench | 57.1 | — |
| WinoGrande | 83.5% | — |

## Math

- Llama 3-70B: 12.8 (#305)
- MiniMax-M2.1: 38.3 (#138)

| Benchmark | Llama 3-70B | MiniMax-M2.1 |
|---|---|---|
| LMArena Math | 1218 | 1397 |
| OTIS Mock AIME 2024-2025 | 4.3% | — |
| MATH Level 5 | 22.6% | — |

## Knowledge

- Llama 3-70B: 20.8 (#277)
- MiniMax-M2.1: 38.3 (#147)

| Benchmark | Llama 3-70B | MiniMax-M2.1 |
|---|---|---|
| LMArena Expert | 1149 | 1431 |
| GPQA Diamond | 40.6% | — |
| Vectara Hallucination Rate | — | 11.8% |
| MMLU | 79.3% | — |

## Multilingual

- Llama 3-70B: 33.6 (#251)
- MiniMax-M2.1: 50.0 (#128)

| Benchmark | Llama 3-70B | MiniMax-M2.1 |
|---|---|---|
| LMArena Non-English | 1142 | 1378 |
| LMArena Chinese | 1114 | 1430 |
| LMArena French | 1232 | 1404 |
| LMArena German | 1169 | 1381 |
| LMArena Japanese | 1017 | 1287 |
| LMArena Korean | 1017 | 1298 |
| LMArena Russian | 1159 | 1387 |
| LMArena Spanish | 1241 | 1397 |

## Instruction Following

- Llama 3-70B: 62.5 (#238)
- MiniMax-M2.1: 73.8 (#112)

| Benchmark | Llama 3-70B | MiniMax-M2.1 |
|---|---|---|
| LMArena Instruction Following | 1194 | 1400 |

## Long Context

- Llama 3-70B: 35.6 (#240)
- MiniMax-M2.1: 43.2 (#101)

| Benchmark | Llama 3-70B | MiniMax-M2.1 |
|---|---|---|
| LMArena Longer Query | 1174 | 1416 |

## Writing & Preference

- Llama 3-70B: 42.8 (#231)
- MiniMax-M2.1: 58.3 (#120)

| Benchmark | Llama 3-70B | MiniMax-M2.1 |
|---|---|---|
| LMArena Text | 1221 | 1392 |
| LMArena Creative Writing | 1210 | 1361 |
| LMArena Multi-Turn | 1223 | 1396 |

## FAQ

### Is Llama 3-70B better than MiniMax-M2.1?

MiniMax-M2.1 is the stronger model overall, scoring 38.9 to 28.8 on the Noometry Index.

### Is Llama 3-70B or MiniMax-M2.1 better for coding?

MiniMax-M2.1 scores higher on coding benchmarks: 40.4 versus 35.8 in the Noometry coding category.

### How many benchmarks do Llama 3-70B and MiniMax-M2.1 share?

17 benchmarks have published results for both models. Llama 3-70B has 31 scored results on Noometry and MiniMax-M2.1 has 22.