Model comparison
Llama 3-8B vs Muse Spark 1.3
Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 25.5 on the Noometry Index.
Last verified . 21 shared benchmarks.
MetaSummary
- They share 21 benchmarks with published results for both. Llama 3-8B 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 math, where Muse Spark 1.3 leads 73.1 to 8.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 1.9% for Llama 3-8B and 99.2% for Muse Spark 1.3.
- Llama 3-8B has downloadable open weights; the other is API-only.
Side by side
| Llama 3-8B | Muse Spark 1.3 | |
|---|---|---|
| Provider | Meta | Meta |
| Noometry Index | 25.5 | 54.8 |
| Released | 2024-04-18 | 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 | 34 | 37 |
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Category by category
Coding Muse Spark 1.3 leads
Llama 3-8B: 31.0 (#289), Muse Spark 1.3: 56.6 (#21)
| Benchmark | Llama 3-8B | Muse Spark 1.3 |
|---|---|---|
| LMArena Coding | 1152 | 1514 |
| CursorBench | — | 41.6% |
| LMArena WebDev | — | 1657 |
| SciCode | — | 59.7% |
| BigCodeBench Instruct | 31.9% | — |
| BigCodeBench Complete | 36.9% | — |
| HumanEval+ | 56.7% | — |
| MBPP+ | 54.8% | — |
Agentic & Tool Use Not comparable
Llama 3-8B: —, Muse Spark 1.3: 38.6 (#30)
| Benchmark | Llama 3-8B | Muse Spark 1.3 |
|---|---|---|
| APEX-Agents | — | 57.8% |
| GDP.pdf | — | 27.6% |
Reasoning Muse Spark 1.3 leads
Llama 3-8B: 14.3 (#326), Muse Spark 1.3: 54.0 (#27)
| Benchmark | Llama 3-8B | Muse Spark 1.3 |
|---|---|---|
| Chess Puzzles | 0% | 38% |
| LMArena Hard Prompts | 1133 | 1503 |
| DTBench | 43.9% | 96.5% |
| Epoch Capabilities Index | 116.45 | 156.75 |
| NYT Connections (extended) | — | 85.1% |
| CritPt | — | 26% |
| Mystery Game Puzzles | — | 25% |
| LMCA | — | 53.9% |
| Adversarial NLI | 57.3% | — |
| Bench to the Future 3 | — | 0.14 |
| ForecastBench | 58.6 | — |
| WinoGrande | 75.7% | — |
Math Muse Spark 1.3 leads
Llama 3-8B: 8.8 (#323), Muse Spark 1.3: 73.1 (#21)
| Benchmark | Llama 3-8B | Muse Spark 1.3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.9% | 99.2% |
| LMArena Math | 1151 | 1494 |
| FrontierMath (Tiers 1-3) | — | 74.4% |
| FrontierMath Tier 4 | — | 46.3% |
| ProofBench | — | 58% |
| MATH Level 5 | 6.1% | — |
Knowledge Muse Spark 1.3 leads
Llama 3-8B: 7.8 (#308), Muse Spark 1.3: 42.6 (#95)
| Benchmark | Llama 3-8B | Muse Spark 1.3 |
|---|---|---|
| LMArena Expert | 1113 | 1516 |
| GPQA Diamond | 26.1% | — |
| ARC (AI2) Challenge | 82.8% | — |
| MMLU | 68.8% | — |
| OpenBookQA | 82.6% | — |
| TriviaQA | 67.7% | — |
Multimodal Not comparable
Llama 3-8B: —, Muse Spark 1.3: 43.7 (#22)
| Benchmark | Llama 3-8B | Muse Spark 1.3 |
|---|---|---|
| LMArena Vision | — | 1309 |
| LMArena Document | — | 1471 |
Multilingual Muse Spark 1.3 leads
Llama 3-8B: 30.8 (#261), Muse Spark 1.3: 57.4 (#8)
| Benchmark | Llama 3-8B | Muse Spark 1.3 |
|---|---|---|
| LMArena Non-English | 1098 | 1481 |
| LMArena Chinese | 1076 | 1529 |
| LMArena French | 1159 | 1524 |
| LMArena German | 1104 | 1515 |
| LMArena Japanese | 967 | 1474 |
| LMArena Korean | 1004 | 1501 |
| LMArena Russian | 1109 | 1490 |
| LMArena Spanish | 1173 | 1490 |
Instruction Following Muse Spark 1.3 leads
Llama 3-8B: 58.4 (#260), Muse Spark 1.3: 77.5 (#22)
| Benchmark | Llama 3-8B | Muse Spark 1.3 |
|---|---|---|
| LMArena Instruction Following | 1127 | 1477 |
Long Context Muse Spark 1.3 leads
Llama 3-8B: 34.2 (#251), Muse Spark 1.3: 45.6 (#32)
| Benchmark | Llama 3-8B | Muse Spark 1.3 |
|---|---|---|
| LMArena Longer Query | 1128 | 1488 |
Writing & Preference Muse Spark 1.3 leads
Llama 3-8B: 37.5 (#256), Muse Spark 1.3: 73.6 (#9)
| Benchmark | Llama 3-8B | Muse Spark 1.3 |
|---|---|---|
| LMArena Text | 1166 | 1490 |
| LMArena Creative Writing | 1150 | 1455 |
| LMArena Multi-Turn | 1152 | 1482 |
| EQ-Bench Creative Writing | — | 1906 |
Frequently asked questions
Is Llama 3-8B better than Muse Spark 1.3?
Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 25.5 on the Noometry Index.
Is Llama 3-8B or Muse Spark 1.3 better for coding?
Muse Spark 1.3 scores higher on coding benchmarks: 56.6 versus 31.0 in the Noometry coding category.
How many benchmarks do Llama 3-8B and Muse Spark 1.3 share?
21 benchmarks have published results for both models. Llama 3-8B has 34 scored results on Noometry and Muse Spark 1.3 has 37.