# Llama 3-70B vs Muse Spark 1.2

> Muse Spark 1.2 is the stronger model overall, scoring 49.8 to 28.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-3-70b-vs-muse-spark-1-2
- Last updated: 2026-10-10
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. Llama 3-70B scores higher in 0 categories and Muse Spark 1.2 in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Muse Spark 1.2 leads 53.9 to 20.8.
- The biggest single-benchmark swing is DTBench: 54.2% for Llama 3-70B and 94.7% for Muse Spark 1.2.
- Llama 3-70B has downloadable open weights; the other is API-only.

## Snapshot

| | Llama 3-70B | Muse Spark 1.2 |
|---|---|---|
| Provider | Meta | Meta |
| Noometry Index | 28.5 | 49.8 |
| Rank | 317 | 44 |
| Context | — | 1.05M |
| Input $/M | — | $1.25 |
| Output $/M | — | $4.25 |
| Weights | Open | Proprietary |

## Coding

- Llama 3-70B: 35.3 (#215)
- Muse Spark 1.2: 48.6 (#49)

| Benchmark | Llama 3-70B | Muse Spark 1.2 |
|---|---|---|
| LMArena Coding | 1206 | 1497 |
| DeepSWE | — | 54.9% |
| LMArena WebDev | — | 1532 |
| FrontierSWE | — | 12% |
| SciCode | — | 56.4% |
| WeirdML | — | 60.3% |
| BigCodeBench Instruct | 43.6% | — |
| BigCodeBench Complete | 54.5% | — |
| HumanEval+ | 72% | — |
| MBPP+ | 69% | — |

## Agentic & Tool Use

- Llama 3-70B: 20.9 (#132)
- Muse Spark 1.2: 29.5 (#77)

| Benchmark | Llama 3-70B | Muse Spark 1.2 |
|---|---|---|
| APEX-Agents | — | 36.4% |
| Cybench | 5% | — |
| GDP.pdf | — | 16% |

## Reasoning

- Llama 3-70B: 17.4 (#284)
- Muse Spark 1.2: 50.4 (#32)

| Benchmark | Llama 3-70B | Muse Spark 1.2 |
|---|---|---|
| LMArena Hard Prompts | 1195 | 1490 |
| DTBench | 54.2% | 94.7% |
| Epoch Capabilities Index | 122.91 | 155.18 |
| SimpleBench | — | 74.5% |
| Kagi LLM Benchmark | 35.1% | — |
| NYT Connections (extended) | — | 79.2% |
| CritPt | — | 17.7% |
| LMCA | — | 48.4% |
| ForecastBench | 57.1 | — |
| WinoGrande | 83.5% | — |

## Math

- Llama 3-70B: 12.0 (#299)
- Muse Spark 1.2: 43.8 (#68)

| Benchmark | Llama 3-70B | Muse Spark 1.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 4.3% | — |
| ProofBench | — | 43% |
| LMArena Math | 1218 | — |
| MATH Level 5 | 22.6% | — |

## Knowledge

- Llama 3-70B: 20.8 (#272)
- Muse Spark 1.2: 53.9 (#49)

| Benchmark | Llama 3-70B | Muse Spark 1.2 |
|---|---|---|
| LMArena Expert | 1149 | 1485 |
| GPQA Diamond | 40.6% | — |
| SimpleQA Verified | — | 60.3% |
| MMLU | 79.3% | — |

## Multimodal

- Llama 3-70B: —
- Muse Spark 1.2: 42.6 (#24)

| Benchmark | Llama 3-70B | Muse Spark 1.2 |
|---|---|---|
| LMArena Vision | — | 1304 |

## Multilingual

- Llama 3-70B: 33.8 (#246)
- Muse Spark 1.2: 57.4 (#10)

| Benchmark | Llama 3-70B | Muse Spark 1.2 |
|---|---|---|
| LMArena Non-English | 1142 | 1479 |
| LMArena Chinese | 1114 | 1519 |
| LMArena Russian | 1159 | 1494 |
| LMArena French | 1231 | — |
| LMArena German | 1169 | — |
| LMArena Japanese | 1017 | — |
| LMArena Korean | 1017 | — |
| LMArena Spanish | 1241 | — |

## Instruction Following

- Llama 3-70B: 62.8 (#233)
- Muse Spark 1.2: 77.1 (#30)

| Benchmark | Llama 3-70B | Muse Spark 1.2 |
|---|---|---|
| LMArena Instruction Following | 1194 | 1466 |

## Long Context

- Llama 3-70B: 35.6 (#235)
- Muse Spark 1.2: 45.4 (#35)

| Benchmark | Llama 3-70B | Muse Spark 1.2 |
|---|---|---|
| LMArena Longer Query | 1174 | 1483 |

## Writing & Preference

- Llama 3-70B: 43.0 (#225)
- Muse Spark 1.2: 72.6 (#14)

| Benchmark | Llama 3-70B | Muse Spark 1.2 |
|---|---|---|
| LMArena Text | 1221 | 1486 |
| LMArena Creative Writing | 1210 | 1444 |
| LMArena Multi-Turn | 1223 | 1504 |
| EQ-Bench Creative Writing | — | 1840 |

## FAQ

### Is Llama 3-70B better than Muse Spark 1.2?

Muse Spark 1.2 is the stronger model overall, scoring 49.8 to 28.5 on the Noometry Index.

### Is Llama 3-70B or Muse Spark 1.2 better for coding?

Muse Spark 1.2 scores higher on coding benchmarks: 48.6 versus 35.3 in the Noometry coding category.

### How many benchmarks do Llama 3-70B and Muse Spark 1.2 share?

13 benchmarks have published results for both models. Llama 3-70B has 31 scored results on Noometry and Muse Spark 1.2 has 28.