Model comparison
Llama 2-7B vs Muse Spark 1.1
Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 29.1 on the Noometry Index.
Last verified . 16 shared benchmarks.
MetaSummary
- They share 16 benchmarks with published results for both. Llama 2-7B scores higher in 0 categories and Muse Spark 1.1 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Muse Spark 1.1 leads 73.4 to 28.0.
- Llama 2-7B has downloadable open weights; the other is API-only.
Side by side
| Llama 2-7B | Muse Spark 1.1 | |
|---|---|---|
| Provider | Meta | Meta |
| Noometry Index | 29.1 | 49.9 |
| Released | 2023-07-18 | 2026-04-08 |
| Weights | Open | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 131K |
| Input $ / M tokens | — | $1.25 |
| Output $ / M tokens | — | $4.25 |
| Results tracked | 29 | 37 |
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Category by category
Coding Muse Spark 1.1 leads
Llama 2-7B: 29.2 (#307), Muse Spark 1.1: 51.3 (#40)
| Benchmark | Llama 2-7B | Muse Spark 1.1 |
|---|---|---|
| LMArena Coding | 1002 | 1498 |
| DeepSWE | — | 53.3% |
| LMArena WebDev | — | 1542 |
| SciCode | — | 58.8% |
Agentic & Tool Use Not comparable
Llama 2-7B: —, Muse Spark 1.1: 30.8 (#73)
| Benchmark | Llama 2-7B | Muse Spark 1.1 |
|---|---|---|
| APEX-Agents | — | 31.8% |
| τ²-bench Banking | — | 40.5% |
| GBAEval | — | 7.9% |
| GDP.pdf | — | 15% |
| Vending-Bench 2 | — | 6,520 |
Reasoning Muse Spark 1.1 leads
Llama 2-7B: 15.7 (#312), Muse Spark 1.1: 47.1 (#44)
| Benchmark | Llama 2-7B | Muse Spark 1.1 |
|---|---|---|
| LMArena Hard Prompts | 1009 | 1486 |
| Epoch Capabilities Index | 99.06 | 154.21 |
| NYT Connections (extended) | — | 84.9% |
| CritPt | — | 15.1% |
| Chess Puzzles | 0% | — |
| DTBench | — | 94.4% |
| LMCA | — | 49.9% |
| Surface Evolver Bench | — | 52.5% |
| BIG-Bench Hard | 39.2% | — |
| HellaSwag | 77.2% | — |
| LAMBADA | 73.3% | — |
| PIQA | 78.8% | — |
| WinoGrande | 69.2% | — |
Math Muse Spark 1.1 leads
Llama 2-7B: 30.7 (#233), Muse Spark 1.1: 45.5 (#76)
| Benchmark | Llama 2-7B | Muse Spark 1.1 |
|---|---|---|
| LMArena Math | 1042 | 1483 |
| ProofBench | — | 39% |
| GSM8K | 16.7% | — |
Knowledge Muse Spark 1.1 leads
Llama 2-7B: 28.2 (#248), Muse Spark 1.1: 53.1 (#59)
| Benchmark | Llama 2-7B | Muse Spark 1.1 |
|---|---|---|
| LMArena Expert | 1036 | 1478 |
| SimpleQA Verified | — | 57.8% |
| 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 1.1: 42.6 (#29)
| Benchmark | Llama 2-7B | Muse Spark 1.1 |
|---|---|---|
| LMArena Vision | — | 1293 |
| LMArena Document | — | 1465 |
| ScienceQA | 43.1% | — |
Multilingual Muse Spark 1.1 leads
Llama 2-7B: 23.8 (#293), Muse Spark 1.1: 56.7 (#17)
| Benchmark | Llama 2-7B | Muse Spark 1.1 |
|---|---|---|
| LMArena Non-English | 973 | 1472 |
| LMArena Chinese | 973 | 1518 |
| LMArena French | 970 | 1494 |
| LMArena German | 978 | 1466 |
| LMArena Russian | 995 | 1483 |
| LMArena Spanish | 1007 | 1464 |
| LMArena Japanese | — | 1451 |
| LMArena Korean | — | 1458 |
Instruction Following Muse Spark 1.1 leads
Llama 2-7B: 50.8 (#298), Muse Spark 1.1: 76.5 (#39)
| Benchmark | Llama 2-7B | Muse Spark 1.1 |
|---|---|---|
| LMArena Instruction Following | 1006 | 1457 |
Long Context Muse Spark 1.1 leads
Llama 2-7B: 30.4 (#287), Muse Spark 1.1: 44.8 (#58)
| Benchmark | Llama 2-7B | Muse Spark 1.1 |
|---|---|---|
| LMArena Longer Query | 999 | 1462 |
Writing & Preference Muse Spark 1.1 leads
Llama 2-7B: 28.0 (#298), Muse Spark 1.1: 73.4 (#11)
| Benchmark | Llama 2-7B | Muse Spark 1.1 |
|---|---|---|
| LMArena Text | 1053 | 1479 |
| LMArena Creative Writing | 1033 | 1437 |
| LMArena Multi-Turn | 1029 | 1485 |
| EQ-Bench Creative Writing | — | 1927 |
| EQ-Bench 4 | — | 1260 |
Frequently asked questions
Is Llama 2-7B better than Muse Spark 1.1?
Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 29.1 on the Noometry Index.
Is Llama 2-7B or Muse Spark 1.1 better for coding?
Muse Spark 1.1 scores higher on coding benchmarks: 51.3 versus 29.2 in the Noometry coding category.
How many benchmarks do Llama 2-7B and Muse Spark 1.1 share?
16 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and Muse Spark 1.1 has 37.