Model comparison
Llama 2-13B vs Muse Spark
Muse Spark is the stronger model overall, scoring 50.6 to 29.6 on the Noometry Index.
Last verified . 17 shared benchmarks.
MetaSummary
- They share 17 benchmarks with published results for both. Llama 2-13B 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 28.1.
- Llama 2-13B has downloadable open weights; the other is API-only.
Side by side
| Llama 2-13B | Muse Spark | |
|---|---|---|
| Provider | Meta | Meta |
| Noometry Index | 29.6 | 50.6 |
| Released | 2023-07-18 | 2026-04-08 |
| Weights | Open | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 32 | 27 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Muse Spark leads
Llama 2-13B: 30.9 (#291), Muse Spark: 46.2 (#69)
| Benchmark | Llama 2-13B | Muse Spark |
|---|---|---|
| LMArena Coding | 1062 | 1481 |
| SciCode | — | 51.5% |
Reasoning Muse Spark leads
Llama 2-13B: 12.8 (#337), Muse Spark: 35.9 (#67)
| Benchmark | Llama 2-13B | Muse Spark |
|---|---|---|
| LMArena Hard Prompts | 1051 | 1474 |
| Epoch Capabilities Index | 106.17 | 152.04 |
| CritPt | — | 11.3% |
| Chess Puzzles | 0% | — |
| DTBench | 42.2% | — |
| BIG-Bench Hard | 58.2% | — |
| HellaSwag | 80.7% | — |
| LAMBADA | 76.5% | — |
| PIQA | 80.8% | — |
| WinoGrande | 72.8% | — |
Math Muse Spark leads
Llama 2-13B: 31.1 (#229), Muse Spark: 47.8 (#66)
| Benchmark | Llama 2-13B | Muse Spark |
|---|---|---|
| LMArena Math | 1065 | 1455 |
| OTIS Mock AIME 2024-2025 | — | 88.9% |
| ProofBench | — | 17% |
| FrontierMath (Feb 2025 set) | — | 39% |
| FrontierMath Tier 4 (v1) | — | 14.6% |
| GSM8K | 36.9% | — |
Knowledge Muse Spark leads
Llama 2-13B: 28.1 (#249), Muse Spark: 65.7 (#13)
| Benchmark | Llama 2-13B | Muse Spark |
|---|---|---|
| LMArena Expert | 1030 | 1457 |
| GPQA Diamond | — | 89.8% |
| Humanity's Last Exam | — | 40.6% |
| ARC (AI2) Challenge | 60.3% | — |
| BoolQ | 82.4% | — |
| MMLU | 55.6% | — |
| OpenBookQA | 57% | — |
| TriviaQA | 79.6% | — |
Multimodal Not comparable
Llama 2-13B: —, Muse Spark: 43.4 (#24)
| Benchmark | Llama 2-13B | Muse Spark |
|---|---|---|
| LMArena Vision | — | 1306 |
| LMArena Document | — | 1444 |
| ScienceQA | 55.8% | — |
Multilingual Muse Spark leads
Llama 2-13B: 26.5 (#279), Muse Spark: 56.1 (#24)
| Benchmark | Llama 2-13B | Muse Spark |
|---|---|---|
| LMArena Non-English | 1024 | 1464 |
| LMArena Chinese | 1001 | 1509 |
| LMArena French | 1044 | 1497 |
| LMArena German | 1009 | 1497 |
| LMArena Korean | 953 | 1459 |
| LMArena Russian | 1055 | 1466 |
| LMArena Spanish | 1087 | 1472 |
| LMArena Japanese | 894 | — |
Instruction Following Muse Spark leads
Llama 2-13B: 53.3 (#287), Muse Spark: 75.9 (#51)
| Benchmark | Llama 2-13B | Muse Spark |
|---|---|---|
| LMArena Instruction Following | 1045 | 1442 |
Long Context Muse Spark leads
Llama 2-13B: 32.3 (#269), Muse Spark: 44.4 (#69)
| Benchmark | Llama 2-13B | Muse Spark |
|---|---|---|
| LMArena Longer Query | 1064 | 1451 |
Writing & Preference Muse Spark leads
Llama 2-13B: 29.8 (#289), Muse Spark: 66.0 (#39)
| Benchmark | Llama 2-13B | Muse Spark |
|---|---|---|
| LMArena Text | 1084 | 1474 |
| LMArena Creative Writing | 1047 | 1459 |
| LMArena Multi-Turn | 1050 | 1477 |
Frequently asked questions
Is Llama 2-13B better than Muse Spark?
Muse Spark is the stronger model overall, scoring 50.6 to 29.6 on the Noometry Index.
Is Llama 2-13B or Muse Spark better for coding?
Muse Spark scores higher on coding benchmarks: 46.2 versus 30.9 in the Noometry coding category.
How many benchmarks do Llama 2-13B and Muse Spark share?
17 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Muse Spark has 27.