Noometry

Model comparison

Llama 3-70B vs Muse Spark 1.3

Muse Spark 1.3 is the stronger model overall, scoring 54.4 to 28.5 on the Noometry Index.

Last verified . 18 shared benchmarks.

Llama 3-70B Meta

28.5

Rank #317 Confirmed

Muse Spark 1.3 Meta

54.4

Rank #27 Confirmed

Summary

  • They share 18 benchmarks with published results for both. Llama 3-70B scores higher in 0 categories and Muse Spark 1.3 in 9 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in math, where Muse Spark 1.3 leads 72.4 to 12.0.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 4.3% for Llama 3-70B and 99.2% for Muse Spark 1.3.
  • Llama 3-70B has downloadable open weights; the other is API-only.

Side by side

Llama 3-70BMuse Spark 1.3
ProviderMetaMeta
Noometry Index28.554.4
Released2024-04-182026-09-02
WeightsOpenProprietary
Context window—1.05M
Max output—131K
Input $ / M tokens—$1.25
Output $ / M tokens—$4.25
Results tracked3134

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Category by category

Coding Muse Spark 1.3 leads

Llama 3-70B: 35.3 (#215), Muse Spark 1.3: 56.1 (#18)

BenchmarkLlama 3-70BMuse Spark 1.3
LMArena Coding12061516
CursorBench—41.6%
LMArena WebDev—1655
SciCode—59.7%
BigCodeBench Instruct43.6%—
BigCodeBench Complete54.5%—
HumanEval+72%—
MBPP+69%—

Agentic & Tool Use Muse Spark 1.3 leads

Llama 3-70B: 20.9 (#132), Muse Spark 1.3: 38.6 (#28)

BenchmarkLlama 3-70BMuse Spark 1.3
APEX-Agents—57.8%
Cybench5%—
GDP.pdf—27.6%

Reasoning Muse Spark 1.3 leads

Llama 3-70B: 17.4 (#284), Muse Spark 1.3: 52.9 (#27)

BenchmarkLlama 3-70BMuse Spark 1.3
LMArena Hard Prompts11951503
DTBench54.2%96.5%
Epoch Capabilities Index122.91156.89
Kagi LLM Benchmark35.1%—
NYT Connections (extended)—85.1%
CritPt—24.9%
Chess Puzzles—38%
Mystery Game Puzzles—25%
LMCA—53.9%
Bench to the Future 3—0.14
ForecastBench57.1—
WinoGrande83.5%—

Math Muse Spark 1.3 leads

Llama 3-70B: 12.0 (#299), Muse Spark 1.3: 72.4 (#16)

BenchmarkLlama 3-70BMuse Spark 1.3
OTIS Mock AIME 2024-20254.3%99.2%
LMArena Math12181497
FrontierMath (Tiers 1-3)—74.4%
FrontierMath Tier 4—46.3%
MATH Level 522.6%—

Knowledge Muse Spark 1.3 leads

Llama 3-70B: 20.8 (#272), Muse Spark 1.3: 42.0 (#92)

BenchmarkLlama 3-70BMuse Spark 1.3
LMArena Expert11491516
GPQA Diamond40.6%—
MMLU79.3%—

Multimodal Not comparable

Llama 3-70B: —, Muse Spark 1.3: 43.0 (#21)

BenchmarkLlama 3-70BMuse Spark 1.3
LMArena Vision—1310
LMArena Document—1471

Multilingual Muse Spark 1.3 leads

Llama 3-70B: 33.8 (#246), Muse Spark 1.3: 57.8 (#6)

BenchmarkLlama 3-70BMuse Spark 1.3
LMArena Non-English11421485
LMArena Chinese11141527
LMArena French12311534
LMArena Korean10171513
LMArena Russian11591491
LMArena Spanish12411485
LMArena German1169—
LMArena Japanese1017—

Instruction Following Muse Spark 1.3 leads

Llama 3-70B: 62.8 (#233), Muse Spark 1.3: 77.8 (#14)

BenchmarkLlama 3-70BMuse Spark 1.3
LMArena Instruction Following11941481

Long Context Muse Spark 1.3 leads

Llama 3-70B: 35.6 (#235), Muse Spark 1.3: 45.7 (#29)

BenchmarkLlama 3-70BMuse Spark 1.3
LMArena Longer Query11741491

Writing & Preference Muse Spark 1.3 leads

Llama 3-70B: 43.0 (#225), Muse Spark 1.3: 73.7 (#10)

BenchmarkLlama 3-70BMuse Spark 1.3
LMArena Text12211490
LMArena Creative Writing12101450
LMArena Multi-Turn12231486
EQ-Bench Creative Writing—1906

Frequently asked questions

Is Llama 3-70B better than Muse Spark 1.3?

Muse Spark 1.3 is the stronger model overall, scoring 54.4 to 28.5 on the Noometry Index.

Is Llama 3-70B or Muse Spark 1.3 better for coding?

Muse Spark 1.3 scores higher on coding benchmarks: 56.1 versus 35.3 in the Noometry coding category.

How many benchmarks do Llama 3-70B and Muse Spark 1.3 share?

18 benchmarks have published results for both models. Llama 3-70B has 31 scored results on Noometry and Muse Spark 1.3 has 34.

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