# Llama 2-70B vs MiMo-V2.6-Pro

> MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 24.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-2-70b-vs-mimo-v2-6-pro
- Last updated: 2026-10-10
- Shared benchmarks: 12

## Summary

- They share 12 benchmarks with published results for both. Llama 2-70B scores higher in 0 categories and MiMo-V2.6-Pro in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where MiMo-V2.6-Pro leads 54.5 to 8.1.

## Snapshot

| | Llama 2-70B | MiMo-V2.6-Pro |
|---|---|---|
| Provider | Meta | Xiaomi |
| Noometry Index | 24.4 | 50.3 |
| Rank | 349 | 49 |
| Context | — | 1.05M |
| Input $/M | — | $0.43 |
| Output $/M | — | $0.87 |
| Weights | Open | Open |

## Coding

- Llama 2-70B: 31.4 (#286)
- MiMo-V2.6-Pro: 55.5 (#23)

| Benchmark | Llama 2-70B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Coding | 1079 | 1534 |
| LMArena WebDev | — | 1629 |
| SciCode | — | 60.9% |
| ALE-Bench | — | 1,158 |

## Agentic & Tool Use

- Llama 2-70B: —
- MiMo-V2.6-Pro: 37.5 (#35)

| Benchmark | Llama 2-70B | MiMo-V2.6-Pro |
|---|---|---|
| APEX-Agents | — | 59.5% |

## Reasoning

- Llama 2-70B: 14.4 (#325)
- MiMo-V2.6-Pro: 43.1 (#50)

| Benchmark | Llama 2-70B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Hard Prompts | 1073 | 1512 |
| CritPt | — | 26.6% |
| DTBench | 41.6% | — |
| BIG-Bench Hard | 64.9% | — |
| CommonsenseQA 2.0 | 50% | — |
| Epoch Capabilities Index | 113.79 | — |
| ForecastBench | 51.4 | — |
| HellaSwag | 85.3% | — |
| LAMBADA | 78.9% | — |
| PIQA | 82.8% | — |
| WinoGrande | 80.2% | — |

## Math

- Llama 2-70B: 8.1 (#326)
- MiMo-V2.6-Pro: 54.5 (#45)

| Benchmark | Llama 2-70B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Math | 1091 | 1494 |
| OTIS Mock AIME 2024-2025 | 0% | — |
| ProofBench | — | 70% |
| MATH Level 5 | 3.3% | — |
| GSM8K | 69.6% | — |

## Knowledge

- Llama 2-70B: 7.4 (#310)
- MiMo-V2.6-Pro: 43.5 (#92)

| Benchmark | Llama 2-70B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Expert | 1039 | 1543 |
| GPQA Diamond | 26.3% | — |
| ARC (AI2) Challenge | 78.3% | — |
| BoolQ | 88.6% | — |
| MMLU | 69.9% | — |
| OpenBookQA | 60.2% | — |
| TriviaQA | 87.6% | — |

## Multimodal

- Llama 2-70B: —
- MiMo-V2.6-Pro: 40.8 (#43)

| Benchmark | Llama 2-70B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Vision | — | 1264 |

## Multilingual

- Llama 2-70B: 27.7 (#274)
- MiMo-V2.6-Pro: 56.9 (#14)

| Benchmark | Llama 2-70B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Non-English | 1045 | 1474 |
| LMArena Chinese | 995 | 1529 |
| LMArena Russian | 1083 | 1480 |
| LMArena French | 1090 | — |
| LMArena German | 1041 | — |
| LMArena Japanese | 927 | — |
| LMArena Korean | 964 | — |
| LMArena Spanish | 1143 | — |

## Instruction Following

- Llama 2-70B: 54.9 (#278)
- MiMo-V2.6-Pro: 78.2 (#12)

| Benchmark | Llama 2-70B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Instruction Following | 1071 | 1493 |

## Long Context

- Llama 2-70B: 32.3 (#270)
- MiMo-V2.6-Pro: 46.0 (#27)

| Benchmark | Llama 2-70B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Longer Query | 1062 | 1501 |

## Writing & Preference

- Llama 2-70B: 32.3 (#279)
- MiMo-V2.6-Pro: 66.8 (#33)

| Benchmark | Llama 2-70B | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Text | 1115 | 1492 |
| LMArena Creative Writing | 1075 | 1468 |
| LMArena Multi-Turn | 1088 | 1464 |

## FAQ

### Is Llama 2-70B better than MiMo-V2.6-Pro?

MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 24.4 on the Noometry Index.

### Is Llama 2-70B or MiMo-V2.6-Pro better for coding?

MiMo-V2.6-Pro scores higher on coding benchmarks: 55.5 versus 31.4 in the Noometry coding category.

### How many benchmarks do Llama 2-70B and MiMo-V2.6-Pro share?

12 benchmarks have published results for both models. Llama 2-70B has 35 scored results on Noometry and MiMo-V2.6-Pro has 19.