Model comparison

Llama 2-7B vs Muse Spark 1.2

Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 29.1 on the Noometry Index.

Last verified . 15 shared benchmarks.

Llama 2-7B Meta

29.1

Rank #317 Confirmed

Muse Spark 1.2 Meta

50.3

Rank #48 Confirmed

Summary

  • They share 15 benchmarks with published results for both. Llama 2-7B 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 writing & preference, where Muse Spark 1.2 leads 72.3 to 28.0.
  • Llama 2-7B has downloadable open weights; the other is API-only.

Side by side

Llama 2-7B and Muse Spark 1.2 specifications
Llama 2-7BMuse Spark 1.2
ProviderMetaMeta
Noometry Index29.150.3
Released2023-07-182026-08-05
WeightsOpenProprietary
Context window—1.05M
Max output—131K
Input $ / M tokens—$1.25
Output $ / M tokens—$4.25
Results tracked2931

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Category by category

Coding Muse Spark 1.2 leads

Llama 2-7B: 29.2 (#307), Muse Spark 1.2: 49.2 (#51)

Coding benchmarks
BenchmarkLlama 2-7BMuse Spark 1.2
LMArena Coding10021495
DeepSWE—54.9%
LMArena WebDev—1533
FrontierSWE—12%
SciCode—56.4%
WeirdML—60.3%

Agentic & Tool Use Not comparable

Llama 2-7B: —, Muse Spark 1.2: 29.4 (#87)

Agentic & Tool Use benchmarks
BenchmarkLlama 2-7BMuse Spark 1.2
APEX-Agents—36.4%
GDP.pdf—16%

Reasoning Muse Spark 1.2 leads

Llama 2-7B: 15.7 (#312), Muse Spark 1.2: 51.3 (#34)

Reasoning benchmarks
BenchmarkLlama 2-7BMuse Spark 1.2
LMArena Hard Prompts10091486
Epoch Capabilities Index99.06154.87
SimpleBench—74.5%
NYT Connections (extended)—79.2%
CritPt—17.7%
Chess Puzzles0%—
DTBench—94.7%
LMCA—48.4%
BIG-Bench Hard39.2%—
HellaSwag77.2%—
LAMBADA73.3%—
PIQA78.8%—
WinoGrande69.2%—

Math Muse Spark 1.2 leads

Llama 2-7B: 30.7 (#233), Muse Spark 1.2: 46.4 (#70)

Math benchmarks
BenchmarkLlama 2-7BMuse Spark 1.2
LMArena Math10421471
ProofBench—43%
GSM8K16.7%—

Knowledge Muse Spark 1.2 leads

Llama 2-7B: 28.2 (#248), Muse Spark 1.2: 54.1 (#53)

Knowledge benchmarks
BenchmarkLlama 2-7BMuse Spark 1.2
LMArena Expert10361480
SimpleQA Verified—60.3%
ARC (AI2) Challenge45.9%—
BoolQ77.9%—
MMLU45.8%—
OpenBookQA58.6%—
TriviaQA73.7%—

Multimodal Not comparable

Llama 2-7B: —, Muse Spark 1.2: 43.4 (#25)

Multimodal benchmarks
BenchmarkLlama 2-7BMuse Spark 1.2
LMArena Vision—1305
ScienceQA43.1%—

Multilingual Muse Spark 1.2 leads

Llama 2-7B: 23.8 (#293), Muse Spark 1.2: 57.1 (#11)

Multilingual benchmarks
BenchmarkLlama 2-7BMuse Spark 1.2
LMArena Non-English9731478
LMArena Chinese9731511
LMArena French9701513
LMArena Russian9951487
LMArena Spanish10071498
LMArena German978—

Instruction Following Muse Spark 1.2 leads

Llama 2-7B: 50.8 (#298), Muse Spark 1.2: 76.7 (#36)

Instruction Following benchmarks
BenchmarkLlama 2-7BMuse Spark 1.2
LMArena Instruction Following10061461

Long Context Muse Spark 1.2 leads

Llama 2-7B: 30.4 (#287), Muse Spark 1.2: 45.2 (#48)

Long Context benchmarks
BenchmarkLlama 2-7BMuse Spark 1.2
LMArena Longer Query9991475

Writing & Preference Muse Spark 1.2 leads

Llama 2-7B: 28.0 (#298), Muse Spark 1.2: 72.3 (#14)

Writing & Preference benchmarks
BenchmarkLlama 2-7BMuse Spark 1.2
LMArena Text10531482
LMArena Creative Writing10331449
LMArena Multi-Turn10291494
EQ-Bench Creative Writing—1840

Frequently asked questions

Is Llama 2-7B better than Muse Spark 1.2?

Muse Spark 1.2 is the stronger model overall, scoring 50.3 to 29.1 on the Noometry Index.

Is Llama 2-7B or Muse Spark 1.2 better for coding?

Muse Spark 1.2 scores higher on coding benchmarks: 49.2 versus 29.2 in the Noometry coding category.

How many benchmarks do Llama 2-7B and Muse Spark 1.2 share?

15 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and Muse Spark 1.2 has 31.

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