Noometry

Model comparison

Llama 2-70B vs Muse Spark 1.1

Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 24.1 on the Noometry Index.

Last verified . 19 shared benchmarks.

Llama 2-70B Meta

24.1

Rank #343 Confirmed

Muse Spark 1.1 Meta

49.9

Rank #43 Confirmed

Summary

  • They share 19 benchmarks with published results for both. Llama 2-70B scores higher in 0 categories and Muse Spark 1.1 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Muse Spark 1.1 leads 52.8 to 7.4.
  • The biggest single-benchmark swing is DTBench: 41.6% for Llama 2-70B and 94.4% for Muse Spark 1.1.
  • Llama 2-70B has downloadable open weights; the other is API-only.

Side by side

Llama 2-70BMuse Spark 1.1
ProviderMetaMeta
Noometry Index24.149.9
Released2023-07-182026-04-08
WeightsOpenProprietary
Context window—1.05M
Max output—131K
Input $ / M tokens—$1.25
Output $ / M tokens—$4.25
Results tracked3536

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Category by category

Coding Muse Spark 1.1 leads

Llama 2-70B: 30.8 (#281), Muse Spark 1.1: 50.8 (#38)

BenchmarkLlama 2-70BMuse Spark 1.1
LMArena Coding10791497
DeepSWE—53.3%
LMArena WebDev—1542
SciCode—58.8%

Agentic & Tool Use Not comparable

Llama 2-70B: —, Muse Spark 1.1: 33.9 (#45)

BenchmarkLlama 2-70BMuse Spark 1.1
τ²-bench Banking—40.5%
GBAEval—7.9%
GDP.pdf—15%
Vending-Bench 2—6,520

Reasoning Muse Spark 1.1 leads

Llama 2-70B: 13.7 (#324), Muse Spark 1.1: 45.9 (#41)

BenchmarkLlama 2-70BMuse Spark 1.1
LMArena Hard Prompts10731486
DTBench41.6%94.4%
Epoch Capabilities Index113.59154.32
NYT Connections (extended)—84.9%
CritPt—15.1%
LMCA—49.9%
Surface Evolver Bench—52.5%
BIG-Bench Hard64.9%—
CommonsenseQA 2.050%—
ForecastBench51.4—
HellaSwag85.3%—
LAMBADA78.9%—
PIQA82.8%—
WinoGrande80.2%—

Math Muse Spark 1.1 leads

Llama 2-70B: 7.5 (#320), Muse Spark 1.1: 44.0 (#67)

BenchmarkLlama 2-70BMuse Spark 1.1
LMArena Math10911477
OTIS Mock AIME 2024-20250%—
ProofBench—39%
MATH Level 53.3%—
GSM8K69.6%—

Knowledge Muse Spark 1.1 leads

Llama 2-70B: 7.4 (#305), Muse Spark 1.1: 52.8 (#55)

BenchmarkLlama 2-70BMuse Spark 1.1
LMArena Expert10391480
GPQA Diamond26.3%—
SimpleQA Verified—57.8%
ARC (AI2) Challenge78.3%—
BoolQ88.6%—
MMLU69.9%—
OpenBookQA60.2%—
TriviaQA87.6%—

Multimodal Not comparable

Llama 2-70B: —, Muse Spark 1.1: 41.9 (#28)

BenchmarkLlama 2-70BMuse Spark 1.1
LMArena Vision—1292
LMArena Document—1465

Multilingual Muse Spark 1.1 leads

Llama 2-70B: 27.9 (#269), Muse Spark 1.1: 56.8 (#16)

BenchmarkLlama 2-70BMuse Spark 1.1
LMArena Non-English10451471
LMArena Chinese9941518
LMArena French10891494
LMArena German10411466
LMArena Japanese9271445
LMArena Korean9641459
LMArena Russian10831482
LMArena Spanish11421471

Instruction Following Muse Spark 1.1 leads

Llama 2-70B: 55.1 (#273), Muse Spark 1.1: 76.8 (#36)

BenchmarkLlama 2-70BMuse Spark 1.1
LMArena Instruction Following10711457

Long Context Muse Spark 1.1 leads

Llama 2-70B: 32.2 (#265), Muse Spark 1.1: 44.8 (#55)

BenchmarkLlama 2-70BMuse Spark 1.1
LMArena Longer Query10621463

Writing & Preference Muse Spark 1.1 leads

Llama 2-70B: 32.5 (#274), Muse Spark 1.1: 73.6 (#11)

BenchmarkLlama 2-70BMuse Spark 1.1
LMArena Text11151479
LMArena Creative Writing10751440
LMArena Multi-Turn10881484
EQ-Bench Creative Writing—1927
EQ-Bench 4—1260

Frequently asked questions

Is Llama 2-70B better than Muse Spark 1.1?

Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 24.1 on the Noometry Index.

Is Llama 2-70B or Muse Spark 1.1 better for coding?

Muse Spark 1.1 scores higher on coding benchmarks: 50.8 versus 30.8 in the Noometry coding category.

How many benchmarks do Llama 2-70B and Muse Spark 1.1 share?

19 benchmarks have published results for both models. Llama 2-70B has 35 scored results on Noometry and Muse Spark 1.1 has 36.

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