# Llama 3-8B vs Muse Spark

> Muse Spark is the stronger model overall, scoring 50.6 to 25.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-3-8b-vs-muse-spark
- Last updated: 2026-10-10
- Shared benchmarks: 19

## Summary

- They share 19 benchmarks with published results for both. Llama 3-8B scores higher in 0 categories and Muse Spark in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Muse Spark leads 65.7 to 7.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 1.9% for Llama 3-8B and 88.9% for Muse Spark.
- Llama 3-8B has downloadable open weights; the other is API-only.

## Snapshot

| | Llama 3-8B | Muse Spark |
|---|---|---|
| Provider | Meta | Meta |
| Noometry Index | 25.5 | 50.6 |
| Rank | 344 | 46 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Proprietary |

## Coding

- Llama 3-8B: 31.0 (#289)
- Muse Spark: 46.2 (#69)

| Benchmark | Llama 3-8B | Muse Spark |
|---|---|---|
| LMArena Coding | 1152 | 1481 |
| SciCode | — | 51.5% |
| BigCodeBench Instruct | 31.9% | — |
| BigCodeBench Complete | 36.9% | — |
| HumanEval+ | 56.7% | — |
| MBPP+ | 54.8% | — |

## Reasoning

- Llama 3-8B: 14.3 (#326)
- Muse Spark: 35.9 (#67)

| Benchmark | Llama 3-8B | Muse Spark |
|---|---|---|
| LMArena Hard Prompts | 1133 | 1474 |
| Epoch Capabilities Index | 116.45 | 152.04 |
| CritPt | — | 11.3% |
| Chess Puzzles | 0% | — |
| DTBench | 43.9% | — |
| Adversarial NLI | 57.3% | — |
| ForecastBench | 58.6 | — |
| WinoGrande | 75.7% | — |

## Math

- Llama 3-8B: 8.8 (#323)
- Muse Spark: 47.8 (#66)

| Benchmark | Llama 3-8B | Muse Spark |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.9% | 88.9% |
| LMArena Math | 1151 | 1455 |
| ProofBench | — | 17% |
| MATH Level 5 | 6.1% | — |
| FrontierMath (Feb 2025 set) | — | 39% |
| FrontierMath Tier 4 (v1) | — | 14.6% |

## Knowledge

- Llama 3-8B: 7.8 (#308)
- Muse Spark: 65.7 (#13)

| Benchmark | Llama 3-8B | Muse Spark |
|---|---|---|
| GPQA Diamond | 26.1% | 89.8% |
| LMArena Expert | 1113 | 1457 |
| Humanity's Last Exam | — | 40.6% |
| ARC (AI2) Challenge | 82.8% | — |
| MMLU | 68.8% | — |
| OpenBookQA | 82.6% | — |
| TriviaQA | 67.7% | — |

## Multimodal

- Llama 3-8B: —
- Muse Spark: 43.4 (#24)

| Benchmark | Llama 3-8B | Muse Spark |
|---|---|---|
| LMArena Vision | — | 1306 |
| LMArena Document | — | 1444 |

## Multilingual

- Llama 3-8B: 30.8 (#261)
- Muse Spark: 56.1 (#24)

| Benchmark | Llama 3-8B | Muse Spark |
|---|---|---|
| LMArena Non-English | 1098 | 1464 |
| LMArena Chinese | 1076 | 1509 |
| LMArena French | 1159 | 1497 |
| LMArena German | 1104 | 1497 |
| LMArena Korean | 1004 | 1459 |
| LMArena Russian | 1109 | 1466 |
| LMArena Spanish | 1173 | 1472 |
| LMArena Japanese | 967 | — |

## Instruction Following

- Llama 3-8B: 58.4 (#260)
- Muse Spark: 75.9 (#51)

| Benchmark | Llama 3-8B | Muse Spark |
|---|---|---|
| LMArena Instruction Following | 1127 | 1442 |

## Long Context

- Llama 3-8B: 34.2 (#251)
- Muse Spark: 44.4 (#69)

| Benchmark | Llama 3-8B | Muse Spark |
|---|---|---|
| LMArena Longer Query | 1128 | 1451 |

## Writing & Preference

- Llama 3-8B: 37.5 (#256)
- Muse Spark: 66.0 (#39)

| Benchmark | Llama 3-8B | Muse Spark |
|---|---|---|
| LMArena Text | 1166 | 1474 |
| LMArena Creative Writing | 1150 | 1459 |
| LMArena Multi-Turn | 1152 | 1477 |

## FAQ

### Is Llama 3-8B better than Muse Spark?

Muse Spark is the stronger model overall, scoring 50.6 to 25.5 on the Noometry Index.

### Is Llama 3-8B or Muse Spark better for coding?

Muse Spark scores higher on coding benchmarks: 46.2 versus 31.0 in the Noometry coding category.

### How many benchmarks do Llama 3-8B and Muse Spark share?

19 benchmarks have published results for both models. Llama 3-8B has 34 scored results on Noometry and Muse Spark has 27.