Noometry

Model comparison

Llama 3-8B vs Muse Spark 1.2

Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 25.5 on the Noometry Index.

Last verified . 16 shared benchmarks.

Llama 3-8B Meta

25.5

Rank #344 Confirmed

Muse Spark 1.2 Meta

50.3

Rank #48 Confirmed

Summary

  • They share 16 benchmarks with published results for both. Llama 3-8B scores higher in 0 categories and Muse Spark 1.2 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Muse Spark 1.2 leads 54.1 to 7.8.
  • The biggest single-benchmark swing is DTBench: 43.9% for Llama 3-8B and 94.7% for Muse Spark 1.2.
  • Llama 3-8B has downloadable open weights; the other is API-only.

Side by side

Llama 3-8BMuse Spark 1.2
ProviderMetaMeta
Noometry Index25.550.3
Released2024-04-182026-08-05
WeightsOpenProprietary
Context window—1.05M
Max output—131K
Input $ / M tokens—$1.25
Output $ / M tokens—$4.25
Results tracked3431

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Category by category

Coding Muse Spark 1.2 leads

Llama 3-8B: 31.0 (#289), Muse Spark 1.2: 49.2 (#51)

BenchmarkLlama 3-8BMuse Spark 1.2
LMArena Coding11521495
DeepSWE—54.9%
LMArena WebDev—1533
FrontierSWE—12%
SciCode—56.4%
WeirdML—60.3%
BigCodeBench Instruct31.9%—
BigCodeBench Complete36.9%—
HumanEval+56.7%—
MBPP+54.8%—

Agentic & Tool Use Not comparable

Llama 3-8B: —, Muse Spark 1.2: 29.4 (#87)

BenchmarkLlama 3-8BMuse Spark 1.2
APEX-Agents—36.4%
GDP.pdf—16%

Reasoning Muse Spark 1.2 leads

Llama 3-8B: 14.3 (#326), Muse Spark 1.2: 51.3 (#34)

BenchmarkLlama 3-8BMuse Spark 1.2
LMArena Hard Prompts11331486
DTBench43.9%94.7%
Epoch Capabilities Index116.45154.87
SimpleBench—74.5%
NYT Connections (extended)—79.2%
CritPt—17.7%
Chess Puzzles0%—
LMCA—48.4%
Adversarial NLI57.3%—
ForecastBench58.6—
WinoGrande75.7%—

Math Muse Spark 1.2 leads

Llama 3-8B: 8.8 (#323), Muse Spark 1.2: 46.4 (#70)

BenchmarkLlama 3-8BMuse Spark 1.2
LMArena Math11511471
OTIS Mock AIME 2024-20251.9%—
ProofBench—43%
MATH Level 56.1%—

Knowledge Muse Spark 1.2 leads

Llama 3-8B: 7.8 (#308), Muse Spark 1.2: 54.1 (#53)

BenchmarkLlama 3-8BMuse Spark 1.2
LMArena Expert11131480
GPQA Diamond26.1%—
SimpleQA Verified—60.3%
ARC (AI2) Challenge82.8%—
MMLU68.8%—
OpenBookQA82.6%—
TriviaQA67.7%—

Multimodal Not comparable

Llama 3-8B: —, Muse Spark 1.2: 43.4 (#25)

BenchmarkLlama 3-8BMuse Spark 1.2
LMArena Vision—1305

Multilingual Muse Spark 1.2 leads

Llama 3-8B: 30.8 (#261), Muse Spark 1.2: 57.1 (#11)

BenchmarkLlama 3-8BMuse Spark 1.2
LMArena Non-English10981478
LMArena Chinese10761511
LMArena French11591513
LMArena Russian11091487
LMArena Spanish11731498
LMArena German1104—
LMArena Japanese967—
LMArena Korean1004—

Instruction Following Muse Spark 1.2 leads

Llama 3-8B: 58.4 (#260), Muse Spark 1.2: 76.7 (#36)

BenchmarkLlama 3-8BMuse Spark 1.2
LMArena Instruction Following11271461

Long Context Muse Spark 1.2 leads

Llama 3-8B: 34.2 (#251), Muse Spark 1.2: 45.2 (#48)

BenchmarkLlama 3-8BMuse Spark 1.2
LMArena Longer Query11281475

Writing & Preference Muse Spark 1.2 leads

Llama 3-8B: 37.5 (#256), Muse Spark 1.2: 72.3 (#14)

BenchmarkLlama 3-8BMuse Spark 1.2
LMArena Text11661482
LMArena Creative Writing11501449
LMArena Multi-Turn11521494
EQ-Bench Creative Writing—1840

Frequently asked questions

Is Llama 3-8B better than Muse Spark 1.2?

Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 25.5 on the Noometry Index.

Is Llama 3-8B or Muse Spark 1.2 better for coding?

Muse Spark 1.2 scores higher on coding benchmarks: 49.2 versus 31.0 in the Noometry coding category.

How many benchmarks do Llama 3-8B and Muse Spark 1.2 share?

16 benchmarks have published results for both models. Llama 3-8B has 34 scored results on Noometry and Muse Spark 1.2 has 31.

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