Noometry

Model comparison

Llama 3.1-70B vs Muse Spark

Muse Spark is the stronger model overall, scoring 50.6 to 29.6 on the Noometry Index.

Last verified . 19 shared benchmarks.

Llama 3.1-70B Meta

29.6

Rank #308 Confirmed

Muse Spark Meta

50.6

Rank #46 Confirmed

Summary

  • They share 19 benchmarks with published results for both. Llama 3.1-70B 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 24.2.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 3.6% for Llama 3.1-70B and 88.9% for Muse Spark.
  • Llama 3.1-70B has downloadable open weights; the other is API-only.

Side by side

Llama 3.1-70BMuse Spark
ProviderMetaMeta
Noometry Index29.650.6
Released2024-07-232026-04-08
WeightsOpenProprietary
Context window128K—
Max output4K—
Input $ / M tokens$0.40—
Output $ / M tokens$0.40—
Results tracked3527

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Category by category

Coding Muse Spark leads

Llama 3.1-70B: 30.3 (#296), Muse Spark: 46.2 (#69)

BenchmarkLlama 3.1-70BMuse Spark
LMArena Coding12601481
SciCode—51.5%
WeirdML9%—
BigCodeBench Instruct46.1%—
BigCodeBench Complete54.8%—

Agentic & Tool Use Not comparable

Llama 3.1-70B: 25.1 (#112), Muse Spark: —

BenchmarkLlama 3.1-70BMuse Spark
TheAgentCompany6.9%—
BALROG27.9%—

Reasoning Muse Spark leads

Llama 3.1-70B: 21.6 (#220), Muse Spark: 35.9 (#67)

BenchmarkLlama 3.1-70BMuse Spark
LMArena Hard Prompts12411474
Epoch Capabilities Index125.92152.04
CritPt—11.3%
DTBench60%—
LMCA14.8%—

Math Muse Spark leads

Llama 3.1-70B: 13.5 (#304), Muse Spark: 47.8 (#66)

BenchmarkLlama 3.1-70BMuse Spark
OTIS Mock AIME 2024-20253.6%88.9%
LMArena Math12521455
ProofBench—17%
Omni-MATH21%—
MATH Level 536.7%—
FrontierMath (Feb 2025 set)—39%
FrontierMath Tier 4 (v1)—14.6%

Knowledge Muse Spark leads

Llama 3.1-70B: 24.2 (#269), Muse Spark: 65.7 (#13)

BenchmarkLlama 3.1-70BMuse Spark
GPQA Diamond44.2%89.8%
LMArena Expert12091457
Humanity's Last Exam—40.6%
MMLU-Pro65.3%—
GPQA (HELM)42.6%—
MMLU80.1%—

Multimodal Not comparable

Llama 3.1-70B: —, Muse Spark: 43.4 (#24)

BenchmarkLlama 3.1-70BMuse Spark
LMArena Vision—1306
LMArena Document—1444

Multilingual Muse Spark leads

Llama 3.1-70B: 38.8 (#225), Muse Spark: 56.1 (#24)

BenchmarkLlama 3.1-70BMuse Spark
LMArena Non-English12191464
LMArena Chinese12151509
LMArena French12611497
LMArena German12221497
LMArena Korean11401459
LMArena Russian12341466
LMArena Spanish12531472
LMArena Japanese1132—

Instruction Following Muse Spark leads

Llama 3.1-70B: 65.3 (#223), Muse Spark: 75.9 (#51)

BenchmarkLlama 3.1-70BMuse Spark
LMArena Instruction Following12311442
IFEval82.1%—

Long Context Muse Spark leads

Llama 3.1-70B: 37.6 (#214), Muse Spark: 44.4 (#69)

BenchmarkLlama 3.1-70BMuse Spark
LMArena Longer Query12411451

Writing & Preference Muse Spark leads

Llama 3.1-70B: 35.4 (#267), Muse Spark: 66.0 (#39)

BenchmarkLlama 3.1-70BMuse Spark
LMArena Text12611474
LMArena Creative Writing12321459
LMArena Multi-Turn12561477
EQ-Bench Creative Writing784—
WildBench75.8%—

Frequently asked questions

Is Llama 3.1-70B better than Muse Spark?

Muse Spark is the stronger model overall, scoring 50.6 to 29.6 on the Noometry Index.

Is Llama 3.1-70B or Muse Spark better for coding?

Muse Spark scores higher on coding benchmarks: 46.2 versus 30.3 in the Noometry coding category.

How many benchmarks do Llama 3.1-70B and Muse Spark share?

19 benchmarks have published results for both models. Llama 3.1-70B has 35 scored results on Noometry and Muse Spark has 27.

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