Model comparison
Llama 3-8B vs Muse Glimmer
Muse Glimmer is the stronger model overall, scoring 41.7 to 25.5 on the Noometry Index.
Last verified . 12 shared benchmarks.
MetaSummary
- They share 12 benchmarks with published results for both. Llama 3-8B scores higher in 0 categories and Muse Glimmer in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Muse Glimmer leads 38.5 to 7.8.
Side by side
| Llama 3-8B | Muse Glimmer | |
|---|---|---|
| Provider | Meta | Meta |
| Noometry Index | 25.5 | 41.7 |
| Released | 2024-04-18 | 2026-08-10 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 34 | 15 |
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Category by category
Coding Muse Glimmer leads
Llama 3-8B: 31.0 (#289), Muse Glimmer: 40.4 (#142)
| Benchmark | Llama 3-8B | Muse Glimmer |
|---|---|---|
| LMArena Coding | 1152 | 1416 |
| LMArena WebDev | — | 1355 |
| SciCode | — | 44.9% |
| BigCodeBench Instruct | 31.9% | — |
| BigCodeBench Complete | 36.9% | — |
| HumanEval+ | 56.7% | — |
| MBPP+ | 54.8% | — |
Reasoning Muse Glimmer leads
Llama 3-8B: 14.3 (#326), Muse Glimmer: 25.7 (#144)
| Benchmark | Llama 3-8B | Muse Glimmer |
|---|---|---|
| LMArena Hard Prompts | 1133 | 1396 |
| CritPt | — | 2.6% |
| Chess Puzzles | 0% | — |
| DTBench | 43.9% | — |
| Adversarial NLI | 57.3% | — |
| Epoch Capabilities Index | 116.45 | — |
| ForecastBench | 58.6 | — |
| WinoGrande | 75.7% | — |
Math Muse Glimmer leads
Llama 3-8B: 8.8 (#323), Muse Glimmer: 38.8 (#125)
| Benchmark | Llama 3-8B | Muse Glimmer |
|---|---|---|
| LMArena Math | 1151 | 1417 |
| OTIS Mock AIME 2024-2025 | 1.9% | — |
| MATH Level 5 | 6.1% | — |
Knowledge Muse Glimmer leads
Llama 3-8B: 7.8 (#308), Muse Glimmer: 38.5 (#143)
| Benchmark | Llama 3-8B | Muse Glimmer |
|---|---|---|
| LMArena Expert | 1113 | 1386 |
| GPQA Diamond | 26.1% | — |
| ARC (AI2) Challenge | 82.8% | — |
| MMLU | 68.8% | — |
| OpenBookQA | 82.6% | — |
| TriviaQA | 67.7% | — |
Multilingual Muse Glimmer leads
Llama 3-8B: 30.8 (#261), Muse Glimmer: 50.5 (#122)
| Benchmark | Llama 3-8B | Muse Glimmer |
|---|---|---|
| LMArena Non-English | 1098 | 1384 |
| LMArena Chinese | 1076 | 1412 |
| LMArena Russian | 1109 | 1390 |
| LMArena French | 1159 | — |
| LMArena German | 1104 | — |
| LMArena Japanese | 967 | — |
| LMArena Korean | 1004 | — |
| LMArena Spanish | 1173 | — |
Instruction Following Muse Glimmer leads
Llama 3-8B: 58.4 (#260), Muse Glimmer: 72.6 (#135)
| Benchmark | Llama 3-8B | Muse Glimmer |
|---|---|---|
| LMArena Instruction Following | 1127 | 1375 |
Long Context Muse Glimmer leads
Llama 3-8B: 34.2 (#251), Muse Glimmer: 42.1 (#129)
| Benchmark | Llama 3-8B | Muse Glimmer |
|---|---|---|
| LMArena Longer Query | 1128 | 1382 |
Writing & Preference Muse Glimmer leads
Llama 3-8B: 37.5 (#256), Muse Glimmer: 57.5 (#126)
| Benchmark | Llama 3-8B | Muse Glimmer |
|---|---|---|
| LMArena Text | 1166 | 1389 |
| LMArena Creative Writing | 1150 | 1339 |
| LMArena Multi-Turn | 1152 | 1399 |
Frequently asked questions
Is Llama 3-8B better than Muse Glimmer?
Muse Glimmer is the stronger model overall, scoring 41.7 to 25.5 on the Noometry Index.
Is Llama 3-8B or Muse Glimmer better for coding?
Muse Glimmer scores higher on coding benchmarks: 40.4 versus 31.0 in the Noometry coding category.
How many benchmarks do Llama 3-8B and Muse Glimmer share?
12 benchmarks have published results for both models. Llama 3-8B has 34 scored results on Noometry and Muse Glimmer has 15.