Model comparison

Codellama 70b Instruct vs Muse Spark 1.3

Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 33.7 on the Noometry Index.

Last verified . 4 shared benchmarks.

Codellama 70b Instruct Meta

33.7

Rank #237 Confirmed

Muse Spark 1.3 Meta

54.8

Rank #27 Confirmed

Summary

  • They share 4 benchmarks with published results for both. Codellama 70b Instruct scores higher in 0 categories and Muse Spark 1.3 in 5 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Muse Spark 1.3 leads 73.6 to 33.4.
  • Codellama 70b Instruct has downloadable open weights; the other is API-only.

Side by side

Codellama 70b Instruct and Muse Spark 1.3 specifications
Codellama 70b InstructMuse Spark 1.3
ProviderMetaMeta
Noometry Index33.754.8
Released—2026-09-02
WeightsOpenProprietary
Context window—1.05M
Max output—131K
Input $ / M tokens—$1.25
Output $ / M tokens—$4.25
Results tracked737

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Category by category

Coding Muse Spark 1.3 leads

Codellama 70b Instruct: 37.6 (#193), Muse Spark 1.3: 56.6 (#21)

Coding benchmarks
BenchmarkCodellama 70b InstructMuse Spark 1.3
CursorBench—41.6%
LMArena WebDev—1657
SciCode—59.7%
BigCodeBench Instruct40.7%—
LMArena Coding—1514
BigCodeBench Complete49.6%—
HumanEval+65.9%—

Agentic & Tool Use Not comparable

Codellama 70b Instruct: —, Muse Spark 1.3: 38.6 (#30)

Agentic & Tool Use benchmarks
BenchmarkCodellama 70b InstructMuse Spark 1.3
APEX-Agents—57.8%
GDP.pdf—27.6%

Reasoning Muse Spark 1.3 leads

Codellama 70b Instruct: 20.1 (#242), Muse Spark 1.3: 54.0 (#27)

Reasoning benchmarks
BenchmarkCodellama 70b InstructMuse Spark 1.3
LMArena Hard Prompts10521503
NYT Connections (extended)—85.1%
CritPt—26%
Chess Puzzles—38%
Mystery Game Puzzles—25%
DTBench—96.5%
LMCA—53.9%
Bench to the Future 3—0.14
Epoch Capabilities Index—156.75

Math Not comparable

Codellama 70b Instruct: —, Muse Spark 1.3: 73.1 (#21)

Math benchmarks
BenchmarkCodellama 70b InstructMuse Spark 1.3
FrontierMath (Tiers 1-3)—74.4%
FrontierMath Tier 4—46.3%
OTIS Mock AIME 2024-2025—99.2%
ProofBench—58%
LMArena Math—1494

Knowledge Not comparable

Codellama 70b Instruct: —, Muse Spark 1.3: 42.6 (#95)

Knowledge benchmarks
BenchmarkCodellama 70b InstructMuse Spark 1.3
LMArena Expert—1516

Multimodal Not comparable

Codellama 70b Instruct: —, Muse Spark 1.3: 43.7 (#22)

Multimodal benchmarks
BenchmarkCodellama 70b InstructMuse Spark 1.3
LMArena Vision—1309
LMArena Document—1471

Multilingual Muse Spark 1.3 leads

Codellama 70b Instruct: 24.8 (#288), Muse Spark 1.3: 57.4 (#8)

Multilingual benchmarks
BenchmarkCodellama 70b InstructMuse Spark 1.3
LMArena Non-English9921481
LMArena Chinese—1529
LMArena French—1524
LMArena German—1515
LMArena Japanese—1474
LMArena Korean—1501
LMArena Russian—1490
LMArena Spanish—1490

Instruction Following Muse Spark 1.3 leads

Codellama 70b Instruct: 51.9 (#293), Muse Spark 1.3: 77.5 (#22)

Instruction Following benchmarks
BenchmarkCodellama 70b InstructMuse Spark 1.3
LMArena Instruction Following10241477

Long Context Not comparable

Codellama 70b Instruct: —, Muse Spark 1.3: 45.6 (#32)

Long Context benchmarks
BenchmarkCodellama 70b InstructMuse Spark 1.3
LMArena Longer Query—1488

Writing & Preference Muse Spark 1.3 leads

Codellama 70b Instruct: 33.4 (#277), Muse Spark 1.3: 73.6 (#9)

Writing & Preference benchmarks
BenchmarkCodellama 70b InstructMuse Spark 1.3
LMArena Text10571490
LMArena Creative Writing—1455
EQ-Bench Creative Writing—1906
LMArena Multi-Turn—1482

Frequently asked questions

Is Codellama 70b Instruct better than Muse Spark 1.3?

Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 33.7 on the Noometry Index.

Is Codellama 70b Instruct or Muse Spark 1.3 better for coding?

Muse Spark 1.3 scores higher on coding benchmarks: 56.6 versus 37.6 in the Noometry coding category.

How many benchmarks do Codellama 70b Instruct and Muse Spark 1.3 share?

4 benchmarks have published results for both models. Codellama 70b Instruct has 7 scored results on Noometry and Muse Spark 1.3 has 37.

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