Noometry

Model comparison

Llama 3.1-8B vs Muse Spark

Muse Spark is the stronger model overall, scoring 50.3 to 22.8 on the Noometry Index.

Last verified . 21 shared benchmarks.

Llama 3.1-8B Meta

22.8

Rank #347 Confirmed

Muse Spark Meta

50.3

Rank #41 Confirmed

Summary

  • They share 21 benchmarks with published results for both. Llama 3.1-8B 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 8.0.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 1.7% for Llama 3.1-8B and 88.9% for Muse Spark.
  • Llama 3.1-8B has downloadable open weights; the other is API-only.

Side by side

Llama 3.1-8BMuse Spark
ProviderMetaMeta
Noometry Index22.850.3
Released2024-07-232026-04-08
WeightsOpenProprietary
Context window128K—
Max output4K—
Input $ / M tokens$0.05—
Output $ / M tokens$0.08—
Results tracked4327

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Category by category

Coding Muse Spark leads

Llama 3.1-8B: 19.9 (#335), Muse Spark: 45.6 (#65)

BenchmarkLlama 3.1-8BMuse Spark
SciCode13.2%51.5%
LMArena Coding11951482
WeirdML1.7%—
BigCodeBench Instruct32.8%—
BigCodeBench Complete40.5%—
HumanEval+62.8%—
MBPP+55.6%—

Agentic & Tool Use Not comparable

Llama 3.1-8B: 22.3 (#123), Muse Spark: —

BenchmarkLlama 3.1-8BMuse Spark
Berkeley Function Calling Leaderboard25.8%—
BALROG15.1%—

Reasoning Muse Spark leads

Llama 3.1-8B: 14.5 (#316), Muse Spark: 34.9 (#61)

BenchmarkLlama 3.1-8BMuse Spark
CritPt0%11.3%
LMArena Hard Prompts11751475
Epoch Capabilities Index116.48152.09
Chess Puzzles0%—
DTBench50.9%—
LMCA5.4%—
PIQA81.2%—

Math Muse Spark leads

Llama 3.1-8B: 9.5 (#311), Muse Spark: 46.8 (#57)

BenchmarkLlama 3.1-8BMuse Spark
OTIS Mock AIME 2024-20251.7%88.9%
LMArena Math11791455
ProofBench—17%
Omni-MATH13.7%—
MATH Level 522.9%—
FrontierMath (Feb 2025 set)—39%
FrontierMath Tier 4 (v1)—14.6%
GSM8K82.4%—

Knowledge Muse Spark leads

Llama 3.1-8B: 8.0 (#302), Muse Spark: 65.7 (#12)

BenchmarkLlama 3.1-8BMuse Spark
GPQA Diamond27%89.8%
LMArena Expert11441458
Humanity's Last Exam—40.6%
MMLU-Pro40.6%—
GPQA (HELM)24.7%—
BoolQ82.8%—
MMLU56.1%—

Multimodal Not comparable

Llama 3.1-8B: —, Muse Spark: 42.7 (#23)

BenchmarkLlama 3.1-8BMuse Spark
LMArena Vision—1306
LMArena Document—1444

Multilingual Muse Spark leads

Llama 3.1-8B: 34.2 (#244), Muse Spark: 56.3 (#23)

BenchmarkLlama 3.1-8BMuse Spark
LMArena Non-English11481464
LMArena Chinese11511507
LMArena French11761497
LMArena German11441497
LMArena Korean10531457
LMArena Russian11581467
LMArena Spanish11691471
LMArena Japanese1061—

Instruction Following Muse Spark leads

Llama 3.1-8B: 59.1 (#253), Muse Spark: 76.1 (#47)

BenchmarkLlama 3.1-8BMuse Spark
LMArena Instruction Following11591443
IFEval74.3%—

Long Context Muse Spark leads

Llama 3.1-8B: 35.8 (#233), Muse Spark: 44.4 (#65)

BenchmarkLlama 3.1-8BMuse Spark
LMArena Longer Query11821451

Writing & Preference Muse Spark leads

Llama 3.1-8B: 29.9 (#285), Muse Spark: 66.2 (#37)

BenchmarkLlama 3.1-8BMuse Spark
LMArena Text11871474
LMArena Creative Writing11541460
LMArena Multi-Turn11721477
EQ-Bench Creative Writing713—
WildBench68.7%—

Frequently asked questions

Is Llama 3.1-8B better than Muse Spark?

Muse Spark is the stronger model overall, scoring 50.3 to 22.8 on the Noometry Index.

Is Llama 3.1-8B or Muse Spark better for coding?

Muse Spark scores higher on coding benchmarks: 45.6 versus 19.9 in the Noometry coding category.

How many benchmarks do Llama 3.1-8B and Muse Spark share?

21 benchmarks have published results for both models. Llama 3.1-8B has 43 scored results on Noometry and Muse Spark has 27.

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