Noometry

Model comparison

Llama 2-70B vs Muse Spark 1.2

Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 24.4 on the Noometry Index.

Last verified . 16 shared benchmarks.

Llama 2-70B Meta

24.4

Rank #349 Confirmed

Muse Spark 1.2 Meta

50.3

Rank #48 Confirmed

Summary

  • They share 16 benchmarks with published results for both. Llama 2-70B 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 7.4.
  • The biggest single-benchmark swing is DTBench: 41.6% for Llama 2-70B and 94.7% for Muse Spark 1.2.
  • Llama 2-70B has downloadable open weights; the other is API-only.

Side by side

Llama 2-70BMuse Spark 1.2
ProviderMetaMeta
Noometry Index24.450.3
Released2023-07-182026-08-05
WeightsOpenProprietary
Context window—1.05M
Max output—131K
Input $ / M tokens—$1.25
Output $ / M tokens—$4.25
Results tracked3531

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Category by category

Coding Muse Spark 1.2 leads

Llama 2-70B: 31.4 (#286), Muse Spark 1.2: 49.2 (#51)

BenchmarkLlama 2-70BMuse Spark 1.2
LMArena Coding10791495
DeepSWE—54.9%
LMArena WebDev—1533
FrontierSWE—12%
SciCode—56.4%
WeirdML—60.3%

Agentic & Tool Use Not comparable

Llama 2-70B: —, Muse Spark 1.2: 29.4 (#87)

BenchmarkLlama 2-70BMuse Spark 1.2
APEX-Agents—36.4%
GDP.pdf—16%

Reasoning Muse Spark 1.2 leads

Llama 2-70B: 14.4 (#325), Muse Spark 1.2: 51.3 (#34)

BenchmarkLlama 2-70BMuse Spark 1.2
LMArena Hard Prompts10731486
DTBench41.6%94.7%
Epoch Capabilities Index113.79154.87
SimpleBench—74.5%
NYT Connections (extended)—79.2%
CritPt—17.7%
LMCA—48.4%
BIG-Bench Hard64.9%—
CommonsenseQA 2.050%—
ForecastBench51.4—
HellaSwag85.3%—
LAMBADA78.9%—
PIQA82.8%—
WinoGrande80.2%—

Math Muse Spark 1.2 leads

Llama 2-70B: 8.1 (#326), Muse Spark 1.2: 46.4 (#70)

BenchmarkLlama 2-70BMuse Spark 1.2
LMArena Math10911471
OTIS Mock AIME 2024-20250%—
ProofBench—43%
MATH Level 53.3%—
GSM8K69.6%—

Knowledge Muse Spark 1.2 leads

Llama 2-70B: 7.4 (#310), Muse Spark 1.2: 54.1 (#53)

BenchmarkLlama 2-70BMuse Spark 1.2
LMArena Expert10391480
GPQA Diamond26.3%—
SimpleQA Verified—60.3%
ARC (AI2) Challenge78.3%—
BoolQ88.6%—
MMLU69.9%—
OpenBookQA60.2%—
TriviaQA87.6%—

Multimodal Not comparable

Llama 2-70B: —, Muse Spark 1.2: 43.4 (#25)

BenchmarkLlama 2-70BMuse Spark 1.2
LMArena Vision—1305

Multilingual Muse Spark 1.2 leads

Llama 2-70B: 27.7 (#274), Muse Spark 1.2: 57.1 (#11)

BenchmarkLlama 2-70BMuse Spark 1.2
LMArena Non-English10451478
LMArena Chinese9951511
LMArena French10901513
LMArena Russian10831487
LMArena Spanish11431498
LMArena German1041—
LMArena Japanese927—
LMArena Korean964—

Instruction Following Muse Spark 1.2 leads

Llama 2-70B: 54.9 (#278), Muse Spark 1.2: 76.7 (#36)

BenchmarkLlama 2-70BMuse Spark 1.2
LMArena Instruction Following10711461

Long Context Muse Spark 1.2 leads

Llama 2-70B: 32.3 (#270), Muse Spark 1.2: 45.2 (#48)

BenchmarkLlama 2-70BMuse Spark 1.2
LMArena Longer Query10621475

Writing & Preference Muse Spark 1.2 leads

Llama 2-70B: 32.3 (#279), Muse Spark 1.2: 72.3 (#14)

BenchmarkLlama 2-70BMuse Spark 1.2
LMArena Text11151482
LMArena Creative Writing10751449
LMArena Multi-Turn10881494
EQ-Bench Creative Writing—1840

Frequently asked questions

Is Llama 2-70B better than Muse Spark 1.2?

Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 24.4 on the Noometry Index.

Is Llama 2-70B or Muse Spark 1.2 better for coding?

Muse Spark 1.2 scores higher on coding benchmarks: 49.2 versus 31.4 in the Noometry coding category.

How many benchmarks do Llama 2-70B and Muse Spark 1.2 share?

16 benchmarks have published results for both models. Llama 2-70B has 35 scored results on Noometry and Muse Spark 1.2 has 31.

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