Model comparison
Llama 2-13B vs Muse Spark 1.3
Muse Spark 1.3 is the stronger model overall, scoring 54.4 to 29.1 on the Noometry Index.
Last verified . 18 shared benchmarks.
MetaSummary
- They share 18 benchmarks with published results for both. Llama 2-13B scores higher in 0 categories and Muse Spark 1.3 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Muse Spark 1.3 leads 73.7 to 30.0.
- The biggest single-benchmark swing is DTBench: 42.2% for Llama 2-13B and 96.5% for Muse Spark 1.3.
- Llama 2-13B has downloadable open weights; the other is API-only.
Side by side
| Llama 2-13B | Muse Spark 1.3 | |
|---|---|---|
| Provider | Meta | Meta |
| Noometry Index | 29.1 | 54.4 |
| Released | 2023-07-18 | 2026-09-02 |
| Weights | Open | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 131K |
| Input $ / M tokens | — | $1.25 |
| Output $ / M tokens | — | $4.25 |
| Results tracked | 32 | 34 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Muse Spark 1.3 leads
Llama 2-13B: 30.4 (#287), Muse Spark 1.3: 56.1 (#18)
| Benchmark | Llama 2-13B | Muse Spark 1.3 |
|---|---|---|
| LMArena Coding | 1062 | 1516 |
| CursorBench | — | 41.6% |
| LMArena WebDev | — | 1655 |
| SciCode | — | 59.7% |
Agentic & Tool Use Not comparable
Llama 2-13B: —, Muse Spark 1.3: 38.6 (#28)
| Benchmark | Llama 2-13B | Muse Spark 1.3 |
|---|---|---|
| APEX-Agents | — | 57.8% |
| GDP.pdf | — | 27.6% |
Reasoning Muse Spark 1.3 leads
Llama 2-13B: 12.3 (#333), Muse Spark 1.3: 52.9 (#27)
| Benchmark | Llama 2-13B | Muse Spark 1.3 |
|---|---|---|
| Chess Puzzles | 0% | 38% |
| LMArena Hard Prompts | 1051 | 1503 |
| DTBench | 42.2% | 96.5% |
| Epoch Capabilities Index | 105.8 | 156.89 |
| NYT Connections (extended) | — | 85.1% |
| CritPt | — | 24.9% |
| Mystery Game Puzzles | — | 25% |
| LMCA | — | 53.9% |
| Bench to the Future 3 | — | 0.14 |
| BIG-Bench Hard | 58.2% | — |
| HellaSwag | 80.7% | — |
| LAMBADA | 76.5% | — |
| PIQA | 80.8% | — |
| WinoGrande | 72.8% | — |
Math Muse Spark 1.3 leads
Llama 2-13B: 28.7 (#226), Muse Spark 1.3: 72.4 (#16)
| Benchmark | Llama 2-13B | Muse Spark 1.3 |
|---|---|---|
| LMArena Math | 1065 | 1497 |
| FrontierMath (Tiers 1-3) | — | 74.4% |
| FrontierMath Tier 4 | — | 46.3% |
| OTIS Mock AIME 2024-2025 | — | 99.2% |
| GSM8K | 36.9% | — |
Knowledge Muse Spark 1.3 leads
Llama 2-13B: 27.5 (#244), Muse Spark 1.3: 42.0 (#92)
| Benchmark | Llama 2-13B | Muse Spark 1.3 |
|---|---|---|
| LMArena Expert | 1030 | 1516 |
| ARC (AI2) Challenge | 60.3% | — |
| BoolQ | 82.4% | — |
| MMLU | 55.6% | — |
| OpenBookQA | 57% | — |
| TriviaQA | 79.6% | — |
Multimodal Not comparable
Llama 2-13B: —, Muse Spark 1.3: 43.0 (#21)
| Benchmark | Llama 2-13B | Muse Spark 1.3 |
|---|---|---|
| LMArena Vision | — | 1310 |
| LMArena Document | — | 1471 |
| ScienceQA | 55.8% | — |
Multilingual Muse Spark 1.3 leads
Llama 2-13B: 26.7 (#274), Muse Spark 1.3: 57.8 (#6)
| Benchmark | Llama 2-13B | Muse Spark 1.3 |
|---|---|---|
| LMArena Non-English | 1024 | 1485 |
| LMArena Chinese | 1001 | 1527 |
| LMArena French | 1043 | 1534 |
| LMArena Korean | 953 | 1513 |
| LMArena Russian | 1055 | 1491 |
| LMArena Spanish | 1086 | 1485 |
| LMArena German | 1009 | — |
| LMArena Japanese | 894 | — |
Instruction Following Muse Spark 1.3 leads
Llama 2-13B: 53.5 (#282), Muse Spark 1.3: 77.8 (#14)
| Benchmark | Llama 2-13B | Muse Spark 1.3 |
|---|---|---|
| LMArena Instruction Following | 1046 | 1481 |
Long Context Muse Spark 1.3 leads
Llama 2-13B: 32.3 (#264), Muse Spark 1.3: 45.7 (#29)
| Benchmark | Llama 2-13B | Muse Spark 1.3 |
|---|---|---|
| LMArena Longer Query | 1064 | 1491 |
Writing & Preference Muse Spark 1.3 leads
Llama 2-13B: 30.0 (#284), Muse Spark 1.3: 73.7 (#10)
| Benchmark | Llama 2-13B | Muse Spark 1.3 |
|---|---|---|
| LMArena Text | 1085 | 1490 |
| LMArena Creative Writing | 1047 | 1450 |
| LMArena Multi-Turn | 1050 | 1486 |
| EQ-Bench Creative Writing | — | 1906 |
Frequently asked questions
Is Llama 2-13B better than Muse Spark 1.3?
Muse Spark 1.3 is the stronger model overall, scoring 54.4 to 29.1 on the Noometry Index.
Is Llama 2-13B or Muse Spark 1.3 better for coding?
Muse Spark 1.3 scores higher on coding benchmarks: 56.1 versus 30.4 in the Noometry coding category.
How many benchmarks do Llama 2-13B and Muse Spark 1.3 share?
18 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Muse Spark 1.3 has 34.