Model comparison
Llama 2-7B vs Muse Spark 1.3
Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 29.1 on the Noometry Index.
Last verified . 17 shared benchmarks.
MetaSummary
- They share 17 benchmarks with published results for both. Llama 2-7B 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 73.6 to 28.0.
- The biggest single-benchmark swing is Chess Puzzles: 0% for Llama 2-7B and 38% for Muse Spark 1.3.
- Llama 2-7B has downloadable open weights; the other is API-only.
Side by side
| Llama 2-7B | Muse Spark 1.3 | |
|---|---|---|
| Provider | Meta | Meta |
| Noometry Index | 29.1 | 54.8 |
| 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 | 29 | 37 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Muse Spark 1.3 leads
Llama 2-7B: 29.2 (#307), Muse Spark 1.3: 56.6 (#21)
| Benchmark | Llama 2-7B | Muse Spark 1.3 |
|---|---|---|
| LMArena Coding | 1002 | 1514 |
| CursorBench | — | 41.6% |
| LMArena WebDev | — | 1657 |
| SciCode | — | 59.7% |
Agentic & Tool Use Not comparable
Llama 2-7B: —, Muse Spark 1.3: 38.6 (#30)
| Benchmark | Llama 2-7B | Muse Spark 1.3 |
|---|---|---|
| APEX-Agents | — | 57.8% |
| GDP.pdf | — | 27.6% |
Reasoning Muse Spark 1.3 leads
Llama 2-7B: 15.7 (#312), Muse Spark 1.3: 54.0 (#27)
| Benchmark | Llama 2-7B | Muse Spark 1.3 |
|---|---|---|
| Chess Puzzles | 0% | 38% |
| LMArena Hard Prompts | 1009 | 1503 |
| Epoch Capabilities Index | 99.06 | 156.75 |
| NYT Connections (extended) | — | 85.1% |
| CritPt | — | 26% |
| Mystery Game Puzzles | — | 25% |
| DTBench | — | 96.5% |
| LMCA | — | 53.9% |
| Bench to the Future 3 | — | 0.14 |
| BIG-Bench Hard | 39.2% | — |
| HellaSwag | 77.2% | — |
| LAMBADA | 73.3% | — |
| PIQA | 78.8% | — |
| WinoGrande | 69.2% | — |
Math Muse Spark 1.3 leads
Llama 2-7B: 30.7 (#233), Muse Spark 1.3: 73.1 (#21)
| Benchmark | Llama 2-7B | Muse Spark 1.3 |
|---|---|---|
| LMArena Math | 1042 | 1494 |
| FrontierMath (Tiers 1-3) | — | 74.4% |
| FrontierMath Tier 4 | — | 46.3% |
| OTIS Mock AIME 2024-2025 | — | 99.2% |
| ProofBench | — | 58% |
| GSM8K | 16.7% | — |
Knowledge Muse Spark 1.3 leads
Llama 2-7B: 28.2 (#248), Muse Spark 1.3: 42.6 (#95)
| Benchmark | Llama 2-7B | Muse Spark 1.3 |
|---|---|---|
| LMArena Expert | 1036 | 1516 |
| ARC (AI2) Challenge | 45.9% | — |
| BoolQ | 77.9% | — |
| MMLU | 45.8% | — |
| OpenBookQA | 58.6% | — |
| TriviaQA | 73.7% | — |
Multimodal Not comparable
Llama 2-7B: —, Muse Spark 1.3: 43.7 (#22)
| Benchmark | Llama 2-7B | Muse Spark 1.3 |
|---|---|---|
| LMArena Vision | — | 1309 |
| LMArena Document | — | 1471 |
| ScienceQA | 43.1% | — |
Multilingual Muse Spark 1.3 leads
Llama 2-7B: 23.8 (#293), Muse Spark 1.3: 57.4 (#8)
| Benchmark | Llama 2-7B | Muse Spark 1.3 |
|---|---|---|
| LMArena Non-English | 973 | 1481 |
| LMArena Chinese | 973 | 1529 |
| LMArena French | 970 | 1524 |
| LMArena German | 978 | 1515 |
| LMArena Russian | 995 | 1490 |
| LMArena Spanish | 1007 | 1490 |
| LMArena Japanese | — | 1474 |
| LMArena Korean | — | 1501 |
Instruction Following Muse Spark 1.3 leads
Llama 2-7B: 50.8 (#298), Muse Spark 1.3: 77.5 (#22)
| Benchmark | Llama 2-7B | Muse Spark 1.3 |
|---|---|---|
| LMArena Instruction Following | 1006 | 1477 |
Long Context Muse Spark 1.3 leads
Llama 2-7B: 30.4 (#287), Muse Spark 1.3: 45.6 (#32)
| Benchmark | Llama 2-7B | Muse Spark 1.3 |
|---|---|---|
| LMArena Longer Query | 999 | 1488 |
Writing & Preference Muse Spark 1.3 leads
Llama 2-7B: 28.0 (#298), Muse Spark 1.3: 73.6 (#9)
| Benchmark | Llama 2-7B | Muse Spark 1.3 |
|---|---|---|
| LMArena Text | 1053 | 1490 |
| LMArena Creative Writing | 1033 | 1455 |
| LMArena Multi-Turn | 1029 | 1482 |
| EQ-Bench Creative Writing | — | 1906 |
Frequently asked questions
Is Llama 2-7B better than Muse Spark 1.3?
Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 29.1 on the Noometry Index.
Is Llama 2-7B or Muse Spark 1.3 better for coding?
Muse Spark 1.3 scores higher on coding benchmarks: 56.6 versus 29.2 in the Noometry coding category.
How many benchmarks do Llama 2-7B and Muse Spark 1.3 share?
17 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and Muse Spark 1.3 has 37.