Noometry

Model comparison

Llama 3-70B vs Muse Spark 1.2

Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 28.8 on the Noometry Index.

Last verified . 16 shared benchmarks.

Llama 3-70B Meta

28.8

Rank #323 Confirmed

Muse Spark 1.2 Meta

50.3

Rank #48 Confirmed

Summary

  • They share 16 benchmarks with published results for both. Llama 3-70B scores higher in 0 categories and Muse Spark 1.2 in 9 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in math, where Muse Spark 1.2 leads 46.4 to 12.8.
  • The biggest single-benchmark swing is DTBench: 54.2% for Llama 3-70B and 94.7% for Muse Spark 1.2.
  • Llama 3-70B has downloadable open weights; the other is API-only.

Side by side

Llama 3-70BMuse Spark 1.2
ProviderMetaMeta
Noometry Index28.850.3
Released2024-04-182026-08-05
WeightsOpenProprietary
Context window—1.05M
Max output—131K
Input $ / M tokens—$1.25
Output $ / M tokens—$4.25
Results tracked3131

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Category by category

Coding Muse Spark 1.2 leads

Llama 3-70B: 35.8 (#218), Muse Spark 1.2: 49.2 (#51)

BenchmarkLlama 3-70BMuse Spark 1.2
LMArena Coding12061495
DeepSWE—54.9%
LMArena WebDev—1533
FrontierSWE—12%
SciCode—56.4%
WeirdML—60.3%
BigCodeBench Instruct43.6%—
BigCodeBench Complete54.5%—
HumanEval+72%—
MBPP+69%—

Agentic & Tool Use Muse Spark 1.2 leads

Llama 3-70B: 21.1 (#139), Muse Spark 1.2: 29.4 (#87)

BenchmarkLlama 3-70BMuse Spark 1.2
APEX-Agents—36.4%
Cybench5%—
GDP.pdf—16%

Reasoning Muse Spark 1.2 leads

Llama 3-70B: 18.0 (#288), Muse Spark 1.2: 51.3 (#34)

BenchmarkLlama 3-70BMuse Spark 1.2
LMArena Hard Prompts11951486
DTBench54.2%94.7%
Epoch Capabilities Index122.93154.87
SimpleBench—74.5%
Kagi LLM Benchmark35.1%—
NYT Connections (extended)—79.2%
CritPt—17.7%
LMCA—48.4%
ForecastBench57.1—
WinoGrande83.5%—

Math Muse Spark 1.2 leads

Llama 3-70B: 12.8 (#305), Muse Spark 1.2: 46.4 (#70)

BenchmarkLlama 3-70BMuse Spark 1.2
LMArena Math12181471
OTIS Mock AIME 2024-20254.3%—
ProofBench—43%
MATH Level 522.6%—

Knowledge Muse Spark 1.2 leads

Llama 3-70B: 20.8 (#277), Muse Spark 1.2: 54.1 (#53)

BenchmarkLlama 3-70BMuse Spark 1.2
LMArena Expert11491480
GPQA Diamond40.6%—
SimpleQA Verified—60.3%
MMLU79.3%—

Multimodal Not comparable

Llama 3-70B: —, Muse Spark 1.2: 43.4 (#25)

BenchmarkLlama 3-70BMuse Spark 1.2
LMArena Vision—1305

Multilingual Muse Spark 1.2 leads

Llama 3-70B: 33.6 (#251), Muse Spark 1.2: 57.1 (#11)

BenchmarkLlama 3-70BMuse Spark 1.2
LMArena Non-English11421478
LMArena Chinese11141511
LMArena French12321513
LMArena Russian11591487
LMArena Spanish12411498
LMArena German1169—
LMArena Japanese1017—
LMArena Korean1017—

Instruction Following Muse Spark 1.2 leads

Llama 3-70B: 62.5 (#238), Muse Spark 1.2: 76.7 (#36)

BenchmarkLlama 3-70BMuse Spark 1.2
LMArena Instruction Following11941461

Long Context Muse Spark 1.2 leads

Llama 3-70B: 35.6 (#240), Muse Spark 1.2: 45.2 (#48)

BenchmarkLlama 3-70BMuse Spark 1.2
LMArena Longer Query11741475

Writing & Preference Muse Spark 1.2 leads

Llama 3-70B: 42.8 (#231), Muse Spark 1.2: 72.3 (#14)

BenchmarkLlama 3-70BMuse Spark 1.2
LMArena Text12211482
LMArena Creative Writing12101449
LMArena Multi-Turn12231494
EQ-Bench Creative Writing—1840

Frequently asked questions

Is Llama 3-70B better than Muse Spark 1.2?

Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 28.8 on the Noometry Index.

Is Llama 3-70B or Muse Spark 1.2 better for coding?

Muse Spark 1.2 scores higher on coding benchmarks: 49.2 versus 35.8 in the Noometry coding category.

How many benchmarks do Llama 3-70B and Muse Spark 1.2 share?

16 benchmarks have published results for both models. Llama 3-70B has 31 scored results on Noometry and Muse Spark 1.2 has 31.

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