Model comparison

Granite 3.0 8b Instruct vs Muse Spark 1.3

Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 31.6 on the Noometry Index.

Last verified . 12 shared benchmarks.

Granite 3.0 8b Instruct IBM

31.6

Rank #270 Confirmed

Muse Spark 1.3 Meta

54.8

Rank #27 Confirmed

Summary

  • They share 12 benchmarks with published results for both. Granite 3.0 8b Instruct scores higher in 0 categories and Muse Spark 1.3 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Muse Spark 1.3 leads 73.6 to 31.1.
  • Granite 3.0 8b Instruct has downloadable open weights; the other is API-only.

Side by side

Granite 3.0 8b Instruct and Muse Spark 1.3 specifications
Granite 3.0 8b InstructMuse Spark 1.3
ProviderIBMMeta
Noometry Index31.654.8
Released—2026-09-02
WeightsOpenProprietary
Context window—1.05M
Max output—131K
Input $ / M tokens—$1.25
Output $ / M tokens—$4.25
Results tracked1437

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Category by category

Coding Muse Spark 1.3 leads

Granite 3.0 8b Instruct: 29.7 (#301), Muse Spark 1.3: 56.6 (#21)

Coding benchmarks
BenchmarkGranite 3.0 8b InstructMuse Spark 1.3
LMArena Coding11121514
CursorBench—41.6%
LMArena WebDev—1657
SciCode—59.7%
BigCodeBench Instruct29.3%—
BigCodeBench Complete35.4%—

Agentic & Tool Use Not comparable

Granite 3.0 8b Instruct: —, Muse Spark 1.3: 38.6 (#30)

Agentic & Tool Use benchmarks
BenchmarkGranite 3.0 8b InstructMuse Spark 1.3
APEX-Agents—57.8%
GDP.pdf—27.6%

Reasoning Muse Spark 1.3 leads

Granite 3.0 8b Instruct: 20.9 (#230), Muse Spark 1.3: 54.0 (#27)

Reasoning benchmarks
BenchmarkGranite 3.0 8b InstructMuse Spark 1.3
LMArena Hard Prompts10921503
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 Muse Spark 1.3 leads

Granite 3.0 8b Instruct: 32.8 (#210), Muse Spark 1.3: 73.1 (#21)

Math benchmarks
BenchmarkGranite 3.0 8b InstructMuse Spark 1.3
LMArena Math11431494
FrontierMath (Tiers 1-3)—74.4%
FrontierMath Tier 4—46.3%
OTIS Mock AIME 2024-2025—99.2%
ProofBench—58%

Knowledge Muse Spark 1.3 leads

Granite 3.0 8b Instruct: 29.6 (#236), Muse Spark 1.3: 42.6 (#95)

Knowledge benchmarks
BenchmarkGranite 3.0 8b InstructMuse Spark 1.3
LMArena Expert10871516

Multimodal Not comparable

Granite 3.0 8b Instruct: —, Muse Spark 1.3: 43.7 (#22)

Multimodal benchmarks
BenchmarkGranite 3.0 8b InstructMuse Spark 1.3
LMArena Vision—1309
LMArena Document—1471

Multilingual Muse Spark 1.3 leads

Granite 3.0 8b Instruct: 27.2 (#276), Muse Spark 1.3: 57.4 (#8)

Multilingual benchmarks
BenchmarkGranite 3.0 8b InstructMuse Spark 1.3
LMArena Non-English10371481
LMArena Chinese10631529
LMArena Russian10601490
LMArena French—1524
LMArena German—1515
LMArena Japanese—1474
LMArena Korean—1501
LMArena Spanish—1490

Instruction Following Muse Spark 1.3 leads

Granite 3.0 8b Instruct: 56.0 (#276), Muse Spark 1.3: 77.5 (#22)

Instruction Following benchmarks
BenchmarkGranite 3.0 8b InstructMuse Spark 1.3
LMArena Instruction Following10881477

Long Context Muse Spark 1.3 leads

Granite 3.0 8b Instruct: 34.0 (#252), Muse Spark 1.3: 45.6 (#32)

Long Context benchmarks
BenchmarkGranite 3.0 8b InstructMuse Spark 1.3
LMArena Longer Query11221488

Writing & Preference Muse Spark 1.3 leads

Granite 3.0 8b Instruct: 31.1 (#285), Muse Spark 1.3: 73.6 (#9)

Writing & Preference benchmarks
BenchmarkGranite 3.0 8b InstructMuse Spark 1.3
LMArena Text10961490
LMArena Creative Writing10711455
LMArena Multi-Turn10631482
EQ-Bench Creative Writing—1906

Frequently asked questions

Is Granite 3.0 8b Instruct better than Muse Spark 1.3?

Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 31.6 on the Noometry Index.

Is Granite 3.0 8b Instruct or Muse Spark 1.3 better for coding?

Muse Spark 1.3 scores higher on coding benchmarks: 56.6 versus 29.7 in the Noometry coding category.

How many benchmarks do Granite 3.0 8b Instruct and Muse Spark 1.3 share?

12 benchmarks have published results for both models. Granite 3.0 8b Instruct has 14 scored results on Noometry and Muse Spark 1.3 has 37.

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