Model comparison

Llama 3.2 3B vs Muse Spark 1.2

Muse Spark 1.2 is the stronger model overall, scoring 49.8 to 28.4 on the Noometry Index. Llama 3.2 3B costs 17× less per token, which makes it the better buy when Muse Spark 1.2's lead doesn't matter for your workload.

Last verified . 12 shared benchmarks.

Llama 3.2 3B Meta

28.4

Rank #318 Confirmed

Muse Spark 1.2 Meta

49.8

Rank #44 Confirmed

Summary

  • They share 12 benchmarks with published results for both. Llama 3.2 3B scores higher in 0 categories and Muse Spark 1.2 in 9 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Muse Spark 1.2 leads 72.6 to 24.9.
  • Llama 3.2 3B is cheaper at $0.05 / $0.33 per million input/output tokens, against $1.25 / $4.25 for Muse Spark 1.2.
  • Muse Spark 1.2 accepts more context: 1.05M tokens versus 131K.
  • Llama 3.2 3B has downloadable open weights; the other is API-only.

Side by side

Llama 3.2 3B and Muse Spark 1.2 specifications
Llama 3.2 3BMuse Spark 1.2
ProviderMetaMeta
Noometry Index28.449.8
Released2024-09-242026-08-05
WeightsOpenProprietary
Context window131K1.05M
Max output118K131K
Input $ / M tokens$0.05$1.25
Output $ / M tokens$0.33$4.25
Results tracked1828

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Category by category

Coding Muse Spark 1.2 leads

Llama 3.2 3B: 27.1 (#314), Muse Spark 1.2: 48.6 (#49)

Coding benchmarks
BenchmarkLlama 3.2 3BMuse Spark 1.2
LMArena Coding10981497
DeepSWE—54.9%
LMArena WebDev—1532
FrontierSWE—12%
SciCode—56.4%
WeirdML—60.3%
BigCodeBench Instruct23.4%—
BigCodeBench Complete28.3%—

Agentic & Tool Use Muse Spark 1.2 leads

Llama 3.2 3B: 19.9 (#135), Muse Spark 1.2: 29.5 (#77)

Agentic & Tool Use benchmarks
BenchmarkLlama 3.2 3BMuse Spark 1.2
APEX-Agents—36.4%
Berkeley Function Calling Leaderboard21.9%—
BALROG10.1%—
GDP.pdf—16%

Reasoning Muse Spark 1.2 leads

Llama 3.2 3B: 20.1 (#225), Muse Spark 1.2: 50.4 (#32)

Reasoning benchmarks
BenchmarkLlama 3.2 3BMuse Spark 1.2
LMArena Hard Prompts10951490
SimpleBench—74.5%
NYT Connections (extended)—79.2%
CritPt—17.7%
DTBench—94.7%
LMCA—48.4%
Epoch Capabilities Index—155.18

Math Muse Spark 1.2 leads

Llama 3.2 3B: 29.9 (#213), Muse Spark 1.2: 43.8 (#68)

Math benchmarks
BenchmarkLlama 3.2 3BMuse Spark 1.2
ProofBench—43%
LMArena Math1126—

Knowledge Muse Spark 1.2 leads

Llama 3.2 3B: 29.1 (#232), Muse Spark 1.2: 53.9 (#49)

Knowledge benchmarks
BenchmarkLlama 3.2 3BMuse Spark 1.2
LMArena Expert10901485
SimpleQA Verified—60.3%

Multimodal Not comparable

Llama 3.2 3B: —, Muse Spark 1.2: 42.6 (#24)

Multimodal benchmarks
BenchmarkLlama 3.2 3BMuse Spark 1.2
LMArena Vision—1304

Multilingual Muse Spark 1.2 leads

Llama 3.2 3B: 26.4 (#276), Muse Spark 1.2: 57.4 (#10)

Multilingual benchmarks
BenchmarkLlama 3.2 3BMuse Spark 1.2
LMArena Non-English10191479
LMArena Chinese10171519
LMArena Russian9491494
LMArena German1056—

Instruction Following Muse Spark 1.2 leads

Llama 3.2 3B: 56.3 (#270), Muse Spark 1.2: 77.1 (#30)

Instruction Following benchmarks
BenchmarkLlama 3.2 3BMuse Spark 1.2
LMArena Instruction Following10891466

Long Context Muse Spark 1.2 leads

Llama 3.2 3B: 33.4 (#256), Muse Spark 1.2: 45.4 (#35)

Long Context benchmarks
BenchmarkLlama 3.2 3BMuse Spark 1.2
LMArena Longer Query11011483

Writing & Preference Muse Spark 1.2 leads

Llama 3.2 3B: 24.9 (#302), Muse Spark 1.2: 72.6 (#14)

Writing & Preference benchmarks
BenchmarkLlama 3.2 3BMuse Spark 1.2
LMArena Text11101486
LMArena Creative Writing10941444
EQ-Bench Creative Writing5951840
LMArena Multi-Turn11051504

Frequently asked questions

Is Llama 3.2 3B better than Muse Spark 1.2?

Muse Spark 1.2 is the stronger model overall, scoring 49.8 to 28.4 on the Noometry Index. Llama 3.2 3B costs 17× less per token, which makes it the better buy when Muse Spark 1.2's lead doesn't matter for your workload.

Which is cheaper, Llama 3.2 3B or Muse Spark 1.2?

Llama 3.2 3B is cheaper. It lists at $0.05 per million input tokens and $0.33 per million output tokens; Muse Spark 1.2 lists at $1.25 and $4.25.

Is Llama 3.2 3B or Muse Spark 1.2 better for coding?

Muse Spark 1.2 scores higher on coding benchmarks: 48.6 versus 27.1 in the Noometry coding category.

Which has the bigger context window?

Muse Spark 1.2 does, with 1.05M tokens against 131K.

How many benchmarks do Llama 3.2 3B and Muse Spark 1.2 share?

12 benchmarks have published results for both models. Llama 3.2 3B has 18 scored results on Noometry and Muse Spark 1.2 has 28.

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