Model comparison
Llama 2-70B vs Muse Spark
Muse Spark is the stronger model overall, scoring 50.6 to 24.4 on the Noometry Index.
Last verified . 19 shared benchmarks.
MetaSummary
- They share 19 benchmarks with published results for both. Llama 2-70B 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 7.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 0% for Llama 2-70B and 88.9% for Muse Spark.
- Llama 2-70B has downloadable open weights; the other is API-only.
Side by side
| Llama 2-70B | Muse Spark | |
|---|---|---|
| Provider | Meta | Meta |
| Noometry Index | 24.4 | 50.6 |
| Released | 2023-07-18 | 2026-04-08 |
| Weights | Open | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 35 | 27 |
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Category by category
Coding Muse Spark leads
Llama 2-70B: 31.4 (#286), Muse Spark: 46.2 (#69)
| Benchmark | Llama 2-70B | Muse Spark |
|---|---|---|
| LMArena Coding | 1079 | 1481 |
| SciCode | — | 51.5% |
Reasoning Muse Spark leads
Llama 2-70B: 14.4 (#325), Muse Spark: 35.9 (#67)
| Benchmark | Llama 2-70B | Muse Spark |
|---|---|---|
| LMArena Hard Prompts | 1073 | 1474 |
| Epoch Capabilities Index | 113.79 | 152.04 |
| CritPt | — | 11.3% |
| DTBench | 41.6% | — |
| 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 Muse Spark leads
Llama 2-70B: 8.1 (#326), Muse Spark: 47.8 (#66)
| Benchmark | Llama 2-70B | Muse Spark |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0% | 88.9% |
| LMArena Math | 1091 | 1455 |
| ProofBench | — | 17% |
| MATH Level 5 | 3.3% | — |
| FrontierMath (Feb 2025 set) | — | 39% |
| FrontierMath Tier 4 (v1) | — | 14.6% |
| GSM8K | 69.6% | — |
Knowledge Muse Spark leads
Llama 2-70B: 7.4 (#310), Muse Spark: 65.7 (#13)
| Benchmark | Llama 2-70B | Muse Spark |
|---|---|---|
| GPQA Diamond | 26.3% | 89.8% |
| LMArena Expert | 1039 | 1457 |
| Humanity's Last Exam | — | 40.6% |
| ARC (AI2) Challenge | 78.3% | — |
| BoolQ | 88.6% | — |
| MMLU | 69.9% | — |
| OpenBookQA | 60.2% | — |
| TriviaQA | 87.6% | — |
Multimodal Not comparable
Llama 2-70B: —, Muse Spark: 43.4 (#24)
| Benchmark | Llama 2-70B | Muse Spark |
|---|---|---|
| LMArena Vision | — | 1306 |
| LMArena Document | — | 1444 |
Multilingual Muse Spark leads
Llama 2-70B: 27.7 (#274), Muse Spark: 56.1 (#24)
| Benchmark | Llama 2-70B | Muse Spark |
|---|---|---|
| LMArena Non-English | 1045 | 1464 |
| LMArena Chinese | 995 | 1509 |
| LMArena French | 1090 | 1497 |
| LMArena German | 1041 | 1497 |
| LMArena Korean | 964 | 1459 |
| LMArena Russian | 1083 | 1466 |
| LMArena Spanish | 1143 | 1472 |
| LMArena Japanese | 927 | — |
Instruction Following Muse Spark leads
Llama 2-70B: 54.9 (#278), Muse Spark: 75.9 (#51)
| Benchmark | Llama 2-70B | Muse Spark |
|---|---|---|
| LMArena Instruction Following | 1071 | 1442 |
Long Context Muse Spark leads
Llama 2-70B: 32.3 (#270), Muse Spark: 44.4 (#69)
| Benchmark | Llama 2-70B | Muse Spark |
|---|---|---|
| LMArena Longer Query | 1062 | 1451 |
Writing & Preference Muse Spark leads
Llama 2-70B: 32.3 (#279), Muse Spark: 66.0 (#39)
| Benchmark | Llama 2-70B | Muse Spark |
|---|---|---|
| LMArena Text | 1115 | 1474 |
| LMArena Creative Writing | 1075 | 1459 |
| LMArena Multi-Turn | 1088 | 1477 |
Frequently asked questions
Is Llama 2-70B better than Muse Spark?
Muse Spark is the stronger model overall, scoring 50.6 to 24.4 on the Noometry Index.
Is Llama 2-70B or Muse Spark better for coding?
Muse Spark scores higher on coding benchmarks: 46.2 versus 31.4 in the Noometry coding category.
How many benchmarks do Llama 2-70B and Muse Spark share?
19 benchmarks have published results for both models. Llama 2-70B has 35 scored results on Noometry and Muse Spark has 27.