Model comparison

Codellama 34b Instruct vs Muse Spark 1.3

Muse Spark 1.3 is the stronger model overall, scoring 54.4 to 30.2 on the Noometry Index.

Last verified . 10 shared benchmarks.

Codellama 34b Instruct Meta

30.2

Rank #285 Confirmed

Muse Spark 1.3 Meta

54.4

Rank #27 Confirmed

Summary

  • They share 10 benchmarks with published results for both. Codellama 34b Instruct scores higher in 0 categories and Muse Spark 1.3 in 7 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Muse Spark 1.3 leads 73.7 to 28.4.
  • Codellama 34b Instruct has downloadable open weights; the other is API-only.

Side by side

Codellama 34b Instruct and Muse Spark 1.3 specifications
Codellama 34b InstructMuse Spark 1.3
ProviderMetaMeta
Noometry Index30.254.4
Released—2026-09-02
WeightsOpenProprietary
Context window—1.05M
Max output—131K
Input $ / M tokens—$1.25
Output $ / M tokens—$4.25
Results tracked1434

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Category by category

Coding Muse Spark 1.3 leads

Codellama 34b Instruct: 28.0 (#310), Muse Spark 1.3: 56.1 (#18)

Coding benchmarks
BenchmarkCodellama 34b InstructMuse Spark 1.3
LMArena Coding10461516
CursorBench—41.6%
LMArena WebDev—1655
SciCode—59.7%
BigCodeBench Instruct29%—
BigCodeBench Complete37.1%—
HumanEval+43.9%—
MBPP+56.3%—

Agentic & Tool Use Not comparable

Codellama 34b Instruct: —, Muse Spark 1.3: 38.6 (#28)

Agentic & Tool Use benchmarks
BenchmarkCodellama 34b InstructMuse Spark 1.3
APEX-Agents—57.8%
GDP.pdf—27.6%

Reasoning Muse Spark 1.3 leads

Codellama 34b Instruct: 18.8 (#250), Muse Spark 1.3: 52.9 (#27)

Reasoning benchmarks
BenchmarkCodellama 34b InstructMuse Spark 1.3
LMArena Hard Prompts10321503
NYT Connections (extended)—85.1%
CritPt—24.9%
Chess Puzzles—38%
Mystery Game Puzzles—25%
DTBench—96.5%
LMCA—53.9%
Bench to the Future 3—0.14
Epoch Capabilities Index—156.89

Math Muse Spark 1.3 leads

Codellama 34b Instruct: 28.5 (#227), Muse Spark 1.3: 72.4 (#16)

Math benchmarks
BenchmarkCodellama 34b InstructMuse Spark 1.3
LMArena Math10561497
FrontierMath (Tiers 1-3)—74.4%
FrontierMath Tier 4—46.3%
OTIS Mock AIME 2024-2025—99.2%

Knowledge Not comparable

Codellama 34b Instruct: —, Muse Spark 1.3: 42.0 (#92)

Knowledge benchmarks
BenchmarkCodellama 34b InstructMuse Spark 1.3
LMArena Expert—1516

Multimodal Not comparable

Codellama 34b Instruct: —, Muse Spark 1.3: 43.0 (#21)

Multimodal benchmarks
BenchmarkCodellama 34b InstructMuse Spark 1.3
LMArena Vision—1310
LMArena Document—1471

Multilingual Muse Spark 1.3 leads

Codellama 34b Instruct: 25.9 (#279), Muse Spark 1.3: 57.8 (#6)

Multilingual benchmarks
BenchmarkCodellama 34b InstructMuse Spark 1.3
LMArena Non-English10111485
LMArena Chinese9761527
LMArena French—1534
LMArena Korean—1513
LMArena Russian—1491
LMArena Spanish—1485

Instruction Following Muse Spark 1.3 leads

Codellama 34b Instruct: 52.4 (#286), Muse Spark 1.3: 77.8 (#14)

Instruction Following benchmarks
BenchmarkCodellama 34b InstructMuse Spark 1.3
LMArena Instruction Following10281481

Long Context Muse Spark 1.3 leads

Codellama 34b Instruct: 30.8 (#279), Muse Spark 1.3: 45.7 (#29)

Long Context benchmarks
BenchmarkCodellama 34b InstructMuse Spark 1.3
LMArena Longer Query10141491

Writing & Preference Muse Spark 1.3 leads

Codellama 34b Instruct: 28.4 (#292), Muse Spark 1.3: 73.7 (#10)

Writing & Preference benchmarks
BenchmarkCodellama 34b InstructMuse Spark 1.3
LMArena Text10661490
LMArena Creative Writing10321450
LMArena Multi-Turn10151486
EQ-Bench Creative Writing—1906

Frequently asked questions

Is Codellama 34b Instruct better than Muse Spark 1.3?

Muse Spark 1.3 is the stronger model overall, scoring 54.4 to 30.2 on the Noometry Index.

Is Codellama 34b Instruct or Muse Spark 1.3 better for coding?

Muse Spark 1.3 scores higher on coding benchmarks: 56.1 versus 28.0 in the Noometry coding category.

How many benchmarks do Codellama 34b Instruct and Muse Spark 1.3 share?

10 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and Muse Spark 1.3 has 34.

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