# Llama 2-7B vs Muse Spark 1.1

> Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 28.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-2-7b-vs-muse-spark-1-1
- Last updated: 2026-10-10
- Shared benchmarks: 16

## Summary

- They share 16 benchmarks with published results for both. Llama 2-7B 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 writing & preference, where Muse Spark 1.1 leads 73.6 to 28.1.
- Llama 2-7B has downloadable open weights; the other is API-only.

## Snapshot

| | Llama 2-7B | Muse Spark 1.1 |
|---|---|---|
| Provider | Meta | Meta |
| Noometry Index | 28.6 | 49.9 |
| Rank | 315 | 43 |
| Context | — | 1.05M |
| Input $/M | — | $1.25 |
| Output $/M | — | $4.25 |
| Weights | Open | Proprietary |

## Coding

- Llama 2-7B: 28.7 (#302)
- Muse Spark 1.1: 50.8 (#38)

| Benchmark | Llama 2-7B | Muse Spark 1.1 |
|---|---|---|
| LMArena Coding | 1002 | 1497 |
| DeepSWE | — | 53.3% |
| LMArena WebDev | — | 1542 |
| SciCode | — | 58.8% |

## Agentic & Tool Use

- Llama 2-7B: —
- Muse Spark 1.1: 33.9 (#45)

| Benchmark | Llama 2-7B | Muse Spark 1.1 |
|---|---|---|
| τ²-bench Banking | — | 40.5% |
| GBAEval | — | 7.9% |
| GDP.pdf | — | 15% |
| Vending-Bench 2 | — | 6,520 |

## Reasoning

- Llama 2-7B: 15.1 (#309)
- Muse Spark 1.1: 45.9 (#41)

| Benchmark | Llama 2-7B | Muse Spark 1.1 |
|---|---|---|
| LMArena Hard Prompts | 1009 | 1486 |
| Epoch Capabilities Index | 98.54 | 154.32 |
| NYT Connections (extended) | — | 84.9% |
| CritPt | — | 15.1% |
| Chess Puzzles | 0% | — |
| DTBench | — | 94.4% |
| LMCA | — | 49.9% |
| Surface Evolver Bench | — | 52.5% |
| BIG-Bench Hard | 39.2% | — |
| HellaSwag | 77.2% | — |
| LAMBADA | 73.3% | — |
| PIQA | 78.8% | — |
| WinoGrande | 69.2% | — |

## Math

- Llama 2-7B: 28.2 (#231)
- Muse Spark 1.1: 44.0 (#67)

| Benchmark | Llama 2-7B | Muse Spark 1.1 |
|---|---|---|
| LMArena Math | 1042 | 1477 |
| ProofBench | — | 39% |
| GSM8K | 16.7% | — |

## Knowledge

- Llama 2-7B: 27.7 (#243)
- Muse Spark 1.1: 52.8 (#55)

| Benchmark | Llama 2-7B | Muse Spark 1.1 |
|---|---|---|
| LMArena Expert | 1036 | 1480 |
| SimpleQA Verified | — | 57.8% |
| ARC (AI2) Challenge | 45.9% | — |
| BoolQ | 77.9% | — |
| MMLU | 45.8% | — |
| OpenBookQA | 58.6% | — |
| TriviaQA | 73.7% | — |

## Multimodal

- Llama 2-7B: —
- Muse Spark 1.1: 41.9 (#28)

| Benchmark | Llama 2-7B | Muse Spark 1.1 |
|---|---|---|
| LMArena Vision | — | 1292 |
| LMArena Document | — | 1465 |
| ScienceQA | 43.1% | — |

## Multilingual

- Llama 2-7B: 23.9 (#288)
- Muse Spark 1.1: 56.8 (#16)

| Benchmark | Llama 2-7B | Muse Spark 1.1 |
|---|---|---|
| LMArena Non-English | 973 | 1471 |
| LMArena Chinese | 973 | 1518 |
| LMArena French | 969 | 1494 |
| LMArena German | 978 | 1466 |
| LMArena Russian | 995 | 1482 |
| LMArena Spanish | 1007 | 1471 |
| LMArena Japanese | — | 1445 |
| LMArena Korean | — | 1459 |

## Instruction Following

- Llama 2-7B: 51.0 (#293)
- Muse Spark 1.1: 76.8 (#36)

| Benchmark | Llama 2-7B | Muse Spark 1.1 |
|---|---|---|
| LMArena Instruction Following | 1006 | 1457 |

## Long Context

- Llama 2-7B: 30.4 (#282)
- Muse Spark 1.1: 44.8 (#55)

| Benchmark | Llama 2-7B | Muse Spark 1.1 |
|---|---|---|
| LMArena Longer Query | 999 | 1463 |

## Writing & Preference

- Llama 2-7B: 28.1 (#293)
- Muse Spark 1.1: 73.6 (#11)

| Benchmark | Llama 2-7B | Muse Spark 1.1 |
|---|---|---|
| LMArena Text | 1053 | 1479 |
| LMArena Creative Writing | 1033 | 1440 |
| LMArena Multi-Turn | 1029 | 1484 |
| EQ-Bench Creative Writing | — | 1927 |
| EQ-Bench 4 | — | 1260 |

## FAQ

### Is Llama 2-7B better than Muse Spark 1.1?

Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 28.6 on the Noometry Index.

### Is Llama 2-7B or Muse Spark 1.1 better for coding?

Muse Spark 1.1 scores higher on coding benchmarks: 50.8 versus 28.7 in the Noometry coding category.

### How many benchmarks do Llama 2-7B and Muse Spark 1.1 share?

16 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and Muse Spark 1.1 has 36.