Model comparison
Llama 13b vs Muse Glimmer
Muse Glimmer is the stronger model overall, scoring 41.7 to 24.4 on the Noometry Index.
Last verified . 8 shared benchmarks.
MetaSummary
- They share 8 benchmarks with published results for both. Llama 13b scores higher in 0 categories and Muse Glimmer in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Muse Glimmer leads 57.5 to 13.8.
Side by side
| Llama 13b | Muse Glimmer | |
|---|---|---|
| Provider | Meta | Meta |
| Noometry Index | 24.4 | 41.7 |
| Released | 2023-02-24 | 2026-08-10 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 21 | 15 |
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Category by category
Coding Muse Glimmer leads
Llama 13b: 21.4 (#337), Muse Glimmer: 40.4 (#142)
| Benchmark | Llama 13b | Muse Glimmer |
|---|---|---|
| LMArena Coding | 683 | 1416 |
| LMArena WebDev | — | 1355 |
| SciCode | — | 44.9% |
Reasoning Muse Glimmer leads
Llama 13b: 14.0 (#329), Muse Glimmer: 25.7 (#144)
| Benchmark | Llama 13b | Muse Glimmer |
|---|---|---|
| LMArena Hard Prompts | 728 | 1396 |
| CritPt | — | 2.6% |
| BIG-Bench Hard | 37.9% | — |
| Epoch Capabilities Index | 100.58 | — |
| HellaSwag | 79.2% | — |
| LAMBADA | 75.2% | — |
| PIQA | 80.1% | — |
| WinoGrande | 73% | — |
Math Muse Glimmer leads
Llama 13b: 26.7 (#256), Muse Glimmer: 38.8 (#125)
| Benchmark | Llama 13b | Muse Glimmer |
|---|---|---|
| LMArena Math | 838 | 1417 |
| GSM8K | 20.6% | — |
Knowledge Not comparable
Llama 13b: —, Muse Glimmer: 38.5 (#143)
| Benchmark | Llama 13b | Muse Glimmer |
|---|---|---|
| LMArena Expert | — | 1386 |
| ARC (AI2) Challenge | 52.7% | — |
| BoolQ | 78.7% | — |
| MMLU | 47.7% | — |
| OpenBookQA | 56.4% | — |
| TriviaQA | 77.9% | — |
Multimodal Not comparable
Llama 13b: —, Muse Glimmer: —
| Benchmark | Llama 13b | Muse Glimmer |
|---|---|---|
| ScienceQA | 43.3% | — |
Multilingual Muse Glimmer leads
Llama 13b: 16.6 (#297), Muse Glimmer: 50.5 (#122)
| Benchmark | Llama 13b | Muse Glimmer |
|---|---|---|
| LMArena Non-English | 819 | 1384 |
| LMArena Chinese | — | 1412 |
| LMArena Russian | — | 1390 |
Instruction Following Muse Glimmer leads
Llama 13b: 36.7 (#305), Muse Glimmer: 72.6 (#135)
| Benchmark | Llama 13b | Muse Glimmer |
|---|---|---|
| LMArena Instruction Following | 781 | 1375 |
Long Context Not comparable
Llama 13b: —, Muse Glimmer: 42.1 (#129)
| Benchmark | Llama 13b | Muse Glimmer |
|---|---|---|
| LMArena Longer Query | — | 1382 |
Writing & Preference Muse Glimmer leads
Llama 13b: 13.8 (#312), Muse Glimmer: 57.5 (#126)
| Benchmark | Llama 13b | Muse Glimmer |
|---|---|---|
| LMArena Text | 834 | 1389 |
| LMArena Creative Writing | 794 | 1339 |
| LMArena Multi-Turn | 753 | 1399 |
Frequently asked questions
Is Llama 13b better than Muse Glimmer?
Muse Glimmer is the stronger model overall, scoring 41.7 to 24.4 on the Noometry Index.
Is Llama 13b or Muse Glimmer better for coding?
Muse Glimmer scores higher on coding benchmarks: 40.4 versus 21.4 in the Noometry coding category.
How many benchmarks do Llama 13b and Muse Glimmer share?
8 benchmarks have published results for both models. Llama 13b has 21 scored results on Noometry and Muse Glimmer has 15.