# Llama 2-70B vs Muse Spark 1.1

> Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 24.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-2-70b-vs-muse-spark-1-1
- Last updated: 2026-10-12
- Shared benchmarks: 19

## Summary

- They share 19 benchmarks with published results for both. Llama 2-70B scores higher in 0 categories and Muse Spark 1.1 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Muse Spark 1.1 leads 53.1 to 7.4.
- The biggest single-benchmark swing is DTBench: 41.6% for Llama 2-70B and 94.4% for Muse Spark 1.1.
- Llama 2-70B has downloadable open weights; the other is API-only.

## Snapshot

| | Llama 2-70B | Muse Spark 1.1 |
|---|---|---|
| Provider | Meta | Meta |
| Noometry Index | 24.4 | 49.9 |
| Rank | 349 | 51 |
| Context | — | 1.05M |
| Input $/M | — | $1.25 |
| Output $/M | — | $4.25 |
| Weights | Open | Proprietary |

## Coding

- Llama 2-70B: 31.4 (#286)
- Muse Spark 1.1: 51.3 (#40)

| Benchmark | Llama 2-70B | Muse Spark 1.1 |
|---|---|---|
| LMArena Coding | 1079 | 1498 |
| DeepSWE | — | 53.3% |
| LMArena WebDev | — | 1542 |
| SciCode | — | 58.8% |

## Agentic & Tool Use

- Llama 2-70B: —
- Muse Spark 1.1: 30.8 (#73)

| Benchmark | Llama 2-70B | Muse Spark 1.1 |
|---|---|---|
| APEX-Agents | — | 31.8% |
| τ²-bench Banking | — | 40.5% |
| GBAEval | — | 7.9% |
| GDP.pdf | — | 15% |
| Vending-Bench 2 | — | 6,520 |

## Reasoning

- Llama 2-70B: 14.4 (#325)
- Muse Spark 1.1: 47.1 (#44)

| Benchmark | Llama 2-70B | Muse Spark 1.1 |
|---|---|---|
| LMArena Hard Prompts | 1073 | 1486 |
| DTBench | 41.6% | 94.4% |
| Epoch Capabilities Index | 113.79 | 154.21 |
| NYT Connections (extended) | — | 84.9% |
| CritPt | — | 15.1% |
| LMCA | — | 49.9% |
| Surface Evolver Bench | — | 52.5% |
| BIG-Bench Hard | 64.9% | — |
| CommonsenseQA 2.0 | 50% | — |
| ForecastBench | 51.4 | — |
| HellaSwag | 85.3% | — |
| LAMBADA | 78.9% | — |
| PIQA | 82.8% | — |
| WinoGrande | 80.2% | — |

## Math

- Llama 2-70B: 8.1 (#326)
- Muse Spark 1.1: 45.5 (#76)

| Benchmark | Llama 2-70B | Muse Spark 1.1 |
|---|---|---|
| LMArena Math | 1091 | 1483 |
| OTIS Mock AIME 2024-2025 | 0% | — |
| ProofBench | — | 39% |
| MATH Level 5 | 3.3% | — |
| GSM8K | 69.6% | — |

## Knowledge

- Llama 2-70B: 7.4 (#310)
- Muse Spark 1.1: 53.1 (#59)

| Benchmark | Llama 2-70B | Muse Spark 1.1 |
|---|---|---|
| LMArena Expert | 1039 | 1478 |
| GPQA Diamond | 26.3% | — |
| SimpleQA Verified | — | 57.8% |
| ARC (AI2) Challenge | 78.3% | — |
| BoolQ | 88.6% | — |
| MMLU | 69.9% | — |
| OpenBookQA | 60.2% | — |
| TriviaQA | 87.6% | — |

## Multimodal

- Llama 2-70B: —
- Muse Spark 1.1: 42.6 (#29)

| Benchmark | Llama 2-70B | Muse Spark 1.1 |
|---|---|---|
| LMArena Vision | — | 1293 |
| LMArena Document | — | 1465 |

## Multilingual

- Llama 2-70B: 27.7 (#274)
- Muse Spark 1.1: 56.7 (#17)

| Benchmark | Llama 2-70B | Muse Spark 1.1 |
|---|---|---|
| LMArena Non-English | 1045 | 1472 |
| LMArena Chinese | 995 | 1518 |
| LMArena French | 1090 | 1494 |
| LMArena German | 1041 | 1466 |
| LMArena Japanese | 927 | 1451 |
| LMArena Korean | 964 | 1458 |
| LMArena Russian | 1083 | 1483 |
| LMArena Spanish | 1143 | 1464 |

## Instruction Following

- Llama 2-70B: 54.9 (#278)
- Muse Spark 1.1: 76.5 (#39)

| Benchmark | Llama 2-70B | Muse Spark 1.1 |
|---|---|---|
| LMArena Instruction Following | 1071 | 1457 |

## Long Context

- Llama 2-70B: 32.3 (#270)
- Muse Spark 1.1: 44.8 (#58)

| Benchmark | Llama 2-70B | Muse Spark 1.1 |
|---|---|---|
| LMArena Longer Query | 1062 | 1462 |

## Writing & Preference

- Llama 2-70B: 32.3 (#279)
- Muse Spark 1.1: 73.4 (#11)

| Benchmark | Llama 2-70B | Muse Spark 1.1 |
|---|---|---|
| LMArena Text | 1115 | 1479 |
| LMArena Creative Writing | 1075 | 1437 |
| LMArena Multi-Turn | 1088 | 1485 |
| EQ-Bench Creative Writing | — | 1927 |
| EQ-Bench 4 | — | 1260 |

## FAQ

### Is Llama 2-70B better than Muse Spark 1.1?

Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 24.4 on the Noometry Index.

### Is Llama 2-70B or Muse Spark 1.1 better for coding?

Muse Spark 1.1 scores higher on coding benchmarks: 51.3 versus 31.4 in the Noometry coding category.

### How many benchmarks do Llama 2-70B and Muse Spark 1.1 share?

19 benchmarks have published results for both models. Llama 2-70B has 35 scored results on Noometry and Muse Spark 1.1 has 37.