Model comparison

Codellama 34b Instruct vs Muse Spark

Muse Spark is the stronger model overall, scoring 50.6 to 30.8 on the Noometry Index.

Last verified . 10 shared benchmarks.

Codellama 34b Instruct Meta

30.8

Rank #287 Confirmed

Muse Spark Meta

50.6

Rank #46 Confirmed

Summary

  • They share 10 benchmarks with published results for both. Codellama 34b Instruct scores higher in 0 categories and Muse Spark in 7 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Muse Spark leads 66.0 to 28.2.
  • Codellama 34b Instruct has downloadable open weights; the other is API-only.

Side by side

Codellama 34b Instruct and Muse Spark specifications
Codellama 34b InstructMuse Spark
ProviderMetaMeta
Noometry Index30.850.6
Released—2026-04-08
WeightsOpenProprietary
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked1427

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Category by category

Coding Muse Spark leads

Codellama 34b Instruct: 28.5 (#314), Muse Spark: 46.2 (#69)

Coding benchmarks
BenchmarkCodellama 34b InstructMuse Spark
LMArena Coding10461481
SciCode—51.5%
BigCodeBench Instruct29%—
BigCodeBench Complete37.1%—
HumanEval+43.9%—
MBPP+56.3%—

Reasoning Muse Spark leads

Codellama 34b Instruct: 19.6 (#255), Muse Spark: 35.9 (#67)

Reasoning benchmarks
BenchmarkCodellama 34b InstructMuse Spark
LMArena Hard Prompts10321474
CritPt—11.3%
Epoch Capabilities Index—152.04

Math Muse Spark leads

Codellama 34b Instruct: 31.0 (#230), Muse Spark: 47.8 (#66)

Math benchmarks
BenchmarkCodellama 34b InstructMuse Spark
LMArena Math10561455
OTIS Mock AIME 2024-2025—88.9%
ProofBench—17%
FrontierMath (Feb 2025 set)—39%
FrontierMath Tier 4 (v1)—14.6%

Knowledge Not comparable

Codellama 34b Instruct: —, Muse Spark: 65.7 (#13)

Knowledge benchmarks
BenchmarkCodellama 34b InstructMuse Spark
GPQA Diamond—89.8%
Humanity's Last Exam—40.6%
LMArena Expert—1457

Multimodal Not comparable

Codellama 34b Instruct: —, Muse Spark: 43.4 (#24)

Multimodal benchmarks
BenchmarkCodellama 34b InstructMuse Spark
LMArena Vision—1306
LMArena Document—1444

Multilingual Muse Spark leads

Codellama 34b Instruct: 25.8 (#284), Muse Spark: 56.1 (#24)

Multilingual benchmarks
BenchmarkCodellama 34b InstructMuse Spark
LMArena Non-English10111464
LMArena Chinese9761509
LMArena French—1497
LMArena German—1497
LMArena Korean—1459
LMArena Russian—1466
LMArena Spanish—1472

Instruction Following Muse Spark leads

Codellama 34b Instruct: 52.2 (#291), Muse Spark: 75.9 (#51)

Instruction Following benchmarks
BenchmarkCodellama 34b InstructMuse Spark
LMArena Instruction Following10281442

Long Context Muse Spark leads

Codellama 34b Instruct: 30.9 (#284), Muse Spark: 44.4 (#69)

Long Context benchmarks
BenchmarkCodellama 34b InstructMuse Spark
LMArena Longer Query10131451

Writing & Preference Muse Spark leads

Codellama 34b Instruct: 28.2 (#297), Muse Spark: 66.0 (#39)

Writing & Preference benchmarks
BenchmarkCodellama 34b InstructMuse Spark
LMArena Text10661474
LMArena Creative Writing10321459
LMArena Multi-Turn10151477

Frequently asked questions

Is Codellama 34b Instruct better than Muse Spark?

Muse Spark is the stronger model overall, scoring 50.6 to 30.8 on the Noometry Index.

Is Codellama 34b Instruct or Muse Spark better for coding?

Muse Spark scores higher on coding benchmarks: 46.2 versus 28.5 in the Noometry coding category.

How many benchmarks do Codellama 34b Instruct and Muse Spark share?

10 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and Muse Spark has 27.

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