# Llama 2-7B vs MiniMax-M2.7

> MiniMax-M2.7 is the stronger model overall, scoring 37.7 to 29.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-2-7b-vs-minimax-m2-7
- Last updated: 2026-10-12
- Shared benchmarks: 16

## Summary

- They share 16 benchmarks with published results for both. Llama 2-7B scores higher in 1 category and MiniMax-M2.7 in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiniMax-M2.7 leads 58.9 to 28.0.

## Snapshot

| | Llama 2-7B | MiniMax-M2.7 |
|---|---|---|
| Provider | Meta | MiniMax |
| Noometry Index | 29.1 | 37.7 |
| Rank | 317 | 196 |
| Context | — | 205K |
| Input $/M | — | $0.30 |
| Output $/M | — | $1.20 |
| Weights | Open | Open |

## Coding

- Llama 2-7B: 29.2 (#307)
- MiniMax-M2.7: 41.8 (#120)

| Benchmark | Llama 2-7B | MiniMax-M2.7 |
|---|---|---|
| LMArena Coding | 1002 | 1454 |
| LMArena WebDev | — | 1398 |
| SciCode | — | 47% |
| WeirdML | — | 37% |
| ALE-Bench | — | 599.25 |

## Agentic & Tool Use

- Llama 2-7B: —
- MiniMax-M2.7: 25.1 (#111)

| Benchmark | Llama 2-7B | MiniMax-M2.7 |
|---|---|---|
| Terminal-Bench | — | 45.1% |
| ExploitBench | — | 13.3% |
| GBAEval | — | 0% |

## Reasoning

- Llama 2-7B: 15.7 (#312)
- MiniMax-M2.7: 19.7 (#253)

| Benchmark | Llama 2-7B | MiniMax-M2.7 |
|---|---|---|
| LMArena Hard Prompts | 1009 | 1422 |
| Epoch Capabilities Index | 99.06 | 145.85 |
| NYT Connections (extended) | — | 24.7% |
| CritPt | — | 0.6% |
| Chess Puzzles | 0% | — |
| Thematic Generalization | — | 39.3% |
| BIG-Bench Hard | 39.2% | — |
| HellaSwag | 77.2% | — |
| LAMBADA | 73.3% | — |
| PIQA | 78.8% | — |
| WinoGrande | 69.2% | — |

## Math

- Llama 2-7B: 30.7 (#233)
- MiniMax-M2.7: 25.9 (#263)

| Benchmark | Llama 2-7B | MiniMax-M2.7 |
|---|---|---|
| LMArena Math | 1042 | 1420 |
| ProofBench | — | 3% |
| GSM8K | 16.7% | — |

## Knowledge

- Llama 2-7B: 28.2 (#248)
- MiniMax-M2.7: 37.7 (#152)

| Benchmark | Llama 2-7B | MiniMax-M2.7 |
|---|---|---|
| LMArena Expert | 1036 | 1444 |
| Vectara Hallucination Rate | — | 12.9% |
| ARC (AI2) Challenge | 45.9% | — |
| BoolQ | 77.9% | — |
| MMLU | 45.8% | — |
| OpenBookQA | 58.6% | — |
| TriviaQA | 73.7% | — |

## Multimodal

- Llama 2-7B: —
- MiniMax-M2.7: —

| Benchmark | Llama 2-7B | MiniMax-M2.7 |
|---|---|---|
| ScienceQA | 43.1% | — |

## Multilingual

- Llama 2-7B: 23.8 (#293)
- MiniMax-M2.7: 50.3 (#123)

| Benchmark | Llama 2-7B | MiniMax-M2.7 |
|---|---|---|
| LMArena Non-English | 973 | 1382 |
| LMArena Chinese | 973 | 1441 |
| LMArena French | 970 | 1421 |
| LMArena German | 978 | 1398 |
| LMArena Russian | 995 | 1383 |
| LMArena Spanish | 1007 | 1403 |
| LMArena Japanese | — | 1262 |
| LMArena Korean | — | 1313 |

## Instruction Following

- Llama 2-7B: 50.8 (#298)
- MiniMax-M2.7: 74.1 (#103)

| Benchmark | Llama 2-7B | MiniMax-M2.7 |
|---|---|---|
| LMArena Instruction Following | 1006 | 1405 |

## Long Context

- Llama 2-7B: 30.4 (#287)
- MiniMax-M2.7: 43.3 (#99)

| Benchmark | Llama 2-7B | MiniMax-M2.7 |
|---|---|---|
| LMArena Longer Query | 999 | 1419 |

## Writing & Preference

- Llama 2-7B: 28.0 (#298)
- MiniMax-M2.7: 58.9 (#112)

| Benchmark | Llama 2-7B | MiniMax-M2.7 |
|---|---|---|
| LMArena Text | 1053 | 1405 |
| LMArena Creative Writing | 1033 | 1354 |
| LMArena Multi-Turn | 1029 | 1412 |

## FAQ

### Is Llama 2-7B better than MiniMax-M2.7?

MiniMax-M2.7 is the stronger model overall, scoring 37.7 to 29.1 on the Noometry Index.

### Is Llama 2-7B or MiniMax-M2.7 better for coding?

MiniMax-M2.7 scores higher on coding benchmarks: 41.8 versus 29.2 in the Noometry coding category.

### How many benchmarks do Llama 2-7B and MiniMax-M2.7 share?

16 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and MiniMax-M2.7 has 30.