Model comparison
Llama 3-70B vs Muse Spark
Muse Spark is the stronger model overall, scoring 50.6 to 28.8 on the Noometry Index.
Last verified . 19 shared benchmarks.
MetaSummary
- They share 19 benchmarks with published results for both. Llama 3-70B scores higher in 0 categories and Muse Spark in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Muse Spark leads 65.7 to 20.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 4.3% for Llama 3-70B and 88.9% for Muse Spark.
- Llama 3-70B has downloadable open weights; the other is API-only.
Side by side
| Llama 3-70B | Muse Spark | |
|---|---|---|
| Provider | Meta | Meta |
| Noometry Index | 28.8 | 50.6 |
| Released | 2024-04-18 | 2026-04-08 |
| Weights | Open | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 31 | 27 |
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Category by category
Coding Muse Spark leads
Llama 3-70B: 35.8 (#218), Muse Spark: 46.2 (#69)
| Benchmark | Llama 3-70B | Muse Spark |
|---|---|---|
| LMArena Coding | 1206 | 1481 |
| SciCode | — | 51.5% |
| BigCodeBench Instruct | 43.6% | — |
| BigCodeBench Complete | 54.5% | — |
| HumanEval+ | 72% | — |
| MBPP+ | 69% | — |
Agentic & Tool Use Not comparable
Llama 3-70B: 21.1 (#139), Muse Spark: —
| Benchmark | Llama 3-70B | Muse Spark |
|---|---|---|
| Cybench | 5% | — |
Reasoning Muse Spark leads
Llama 3-70B: 18.0 (#288), Muse Spark: 35.9 (#67)
| Benchmark | Llama 3-70B | Muse Spark |
|---|---|---|
| LMArena Hard Prompts | 1195 | 1474 |
| Epoch Capabilities Index | 122.93 | 152.04 |
| Kagi LLM Benchmark | 35.1% | — |
| CritPt | — | 11.3% |
| DTBench | 54.2% | — |
| ForecastBench | 57.1 | — |
| WinoGrande | 83.5% | — |
Math Muse Spark leads
Llama 3-70B: 12.8 (#305), Muse Spark: 47.8 (#66)
| Benchmark | Llama 3-70B | Muse Spark |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 4.3% | 88.9% |
| LMArena Math | 1218 | 1455 |
| ProofBench | — | 17% |
| MATH Level 5 | 22.6% | — |
| FrontierMath (Feb 2025 set) | — | 39% |
| FrontierMath Tier 4 (v1) | — | 14.6% |
Knowledge Muse Spark leads
Llama 3-70B: 20.8 (#277), Muse Spark: 65.7 (#13)
| Benchmark | Llama 3-70B | Muse Spark |
|---|---|---|
| GPQA Diamond | 40.6% | 89.8% |
| LMArena Expert | 1149 | 1457 |
| Humanity's Last Exam | — | 40.6% |
| MMLU | 79.3% | — |
Multimodal Not comparable
Llama 3-70B: —, Muse Spark: 43.4 (#24)
| Benchmark | Llama 3-70B | Muse Spark |
|---|---|---|
| LMArena Vision | — | 1306 |
| LMArena Document | — | 1444 |
Multilingual Muse Spark leads
Llama 3-70B: 33.6 (#251), Muse Spark: 56.1 (#24)
| Benchmark | Llama 3-70B | Muse Spark |
|---|---|---|
| LMArena Non-English | 1142 | 1464 |
| LMArena Chinese | 1114 | 1509 |
| LMArena French | 1232 | 1497 |
| LMArena German | 1169 | 1497 |
| LMArena Korean | 1017 | 1459 |
| LMArena Russian | 1159 | 1466 |
| LMArena Spanish | 1241 | 1472 |
| LMArena Japanese | 1017 | — |
Instruction Following Muse Spark leads
Llama 3-70B: 62.5 (#238), Muse Spark: 75.9 (#51)
| Benchmark | Llama 3-70B | Muse Spark |
|---|---|---|
| LMArena Instruction Following | 1194 | 1442 |
Long Context Muse Spark leads
Llama 3-70B: 35.6 (#240), Muse Spark: 44.4 (#69)
| Benchmark | Llama 3-70B | Muse Spark |
|---|---|---|
| LMArena Longer Query | 1174 | 1451 |
Writing & Preference Muse Spark leads
Llama 3-70B: 42.8 (#231), Muse Spark: 66.0 (#39)
| Benchmark | Llama 3-70B | Muse Spark |
|---|---|---|
| LMArena Text | 1221 | 1474 |
| LMArena Creative Writing | 1210 | 1459 |
| LMArena Multi-Turn | 1223 | 1477 |
Frequently asked questions
Is Llama 3-70B better than Muse Spark?
Muse Spark is the stronger model overall, scoring 50.6 to 28.8 on the Noometry Index.
Is Llama 3-70B or Muse Spark better for coding?
Muse Spark scores higher on coding benchmarks: 46.2 versus 35.8 in the Noometry coding category.
How many benchmarks do Llama 3-70B and Muse Spark share?
19 benchmarks have published results for both models. Llama 3-70B has 31 scored results on Noometry and Muse Spark has 27.