Model comparison

Codellama 70b Instruct vs Muse Spark

Muse Spark is the stronger model overall, scoring 50.6 to 33.7 on the Noometry Index.

Last verified . 4 shared benchmarks.

Codellama 70b Instruct Meta

33.7

Rank #237 Confirmed

Muse Spark Meta

50.6

Rank #46 Confirmed

Summary

  • They share 4 benchmarks with published results for both. Codellama 70b Instruct scores higher in 0 categories and Muse Spark in 5 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Muse Spark leads 66.0 to 33.4.
  • Codellama 70b Instruct has downloadable open weights; the other is API-only.

Side by side

Codellama 70b Instruct and Muse Spark specifications
Codellama 70b InstructMuse Spark
ProviderMetaMeta
Noometry Index33.750.6
Released—2026-04-08
WeightsOpenProprietary
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked727

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Category by category

Coding Muse Spark leads

Codellama 70b Instruct: 37.6 (#193), Muse Spark: 46.2 (#69)

Coding benchmarks
BenchmarkCodellama 70b InstructMuse Spark
SciCode—51.5%
BigCodeBench Instruct40.7%—
LMArena Coding—1481
BigCodeBench Complete49.6%—
HumanEval+65.9%—

Reasoning Muse Spark leads

Codellama 70b Instruct: 20.1 (#242), Muse Spark: 35.9 (#67)

Reasoning benchmarks
BenchmarkCodellama 70b InstructMuse Spark
LMArena Hard Prompts10521474
CritPt—11.3%
Epoch Capabilities Index—152.04

Math Not comparable

Codellama 70b Instruct: —, Muse Spark: 47.8 (#66)

Math benchmarks
BenchmarkCodellama 70b InstructMuse Spark
OTIS Mock AIME 2024-2025—88.9%
ProofBench—17%
LMArena Math—1455
FrontierMath (Feb 2025 set)—39%
FrontierMath Tier 4 (v1)—14.6%

Knowledge Not comparable

Codellama 70b Instruct: —, Muse Spark: 65.7 (#13)

Knowledge benchmarks
BenchmarkCodellama 70b InstructMuse Spark
GPQA Diamond—89.8%
Humanity's Last Exam—40.6%
LMArena Expert—1457

Multimodal Not comparable

Codellama 70b Instruct: —, Muse Spark: 43.4 (#24)

Multimodal benchmarks
BenchmarkCodellama 70b InstructMuse Spark
LMArena Vision—1306
LMArena Document—1444

Multilingual Muse Spark leads

Codellama 70b Instruct: 24.8 (#288), Muse Spark: 56.1 (#24)

Multilingual benchmarks
BenchmarkCodellama 70b InstructMuse Spark
LMArena Non-English9921464
LMArena Chinese—1509
LMArena French—1497
LMArena German—1497
LMArena Korean—1459
LMArena Russian—1466
LMArena Spanish—1472

Instruction Following Muse Spark leads

Codellama 70b Instruct: 51.9 (#293), Muse Spark: 75.9 (#51)

Instruction Following benchmarks
BenchmarkCodellama 70b InstructMuse Spark
LMArena Instruction Following10241442

Long Context Not comparable

Codellama 70b Instruct: —, Muse Spark: 44.4 (#69)

Long Context benchmarks
BenchmarkCodellama 70b InstructMuse Spark
LMArena Longer Query—1451

Writing & Preference Muse Spark leads

Codellama 70b Instruct: 33.4 (#277), Muse Spark: 66.0 (#39)

Writing & Preference benchmarks
BenchmarkCodellama 70b InstructMuse Spark
LMArena Text10571474
LMArena Creative Writing—1459
LMArena Multi-Turn—1477

Frequently asked questions

Is Codellama 70b Instruct better than Muse Spark?

Muse Spark is the stronger model overall, scoring 50.6 to 33.7 on the Noometry Index.

Is Codellama 70b Instruct or Muse Spark better for coding?

Muse Spark scores higher on coding benchmarks: 46.2 versus 37.6 in the Noometry coding category.

How many benchmarks do Codellama 70b Instruct and Muse Spark share?

4 benchmarks have published results for both models. Codellama 70b Instruct has 7 scored results on Noometry and Muse Spark has 27.

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