Noometry

Model comparison

Granite 4.0 Micro vs Muse Spark 1.2

Muse Spark 1.2 is the stronger model overall, scoring 49.8 to 28.8 on the Noometry Index. Granite 4.0 Micro costs 49× less per token, which makes it the better buy when Muse Spark 1.2's lead doesn't matter for your workload.

Last verified . 0 shared benchmarks.

Granite 4.0 Micro IBM

28.8

Rank #312 Confirmed

Muse Spark 1.2 Meta

49.8

Rank #44 Confirmed

Summary

  • The widest gap is in knowledge, where Muse Spark 1.2 leads 53.9 to 9.9.
  • Granite 4.0 Micro is cheaper at $0.017 / $0.11 per million input/output tokens, against $1.25 / $4.25 for Muse Spark 1.2.
  • Muse Spark 1.2 accepts more context: 1.05M tokens versus 131K.
  • Granite 4.0 Micro has downloadable open weights; the other is API-only.

Side by side

Granite 4.0 MicroMuse Spark 1.2
ProviderIBMMeta
Noometry Index28.849.8
Released2025-10-022026-08-05
WeightsOpenProprietary
Context window131K1.05M
Max output118K131K
Input $ / M tokens$0.017$1.25
Output $ / M tokens$0.11$4.25
Results tracked828

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Category by category

Coding Not comparable

Granite 4.0 Micro: —, Muse Spark 1.2: 48.6 (#49)

BenchmarkGranite 4.0 MicroMuse Spark 1.2
DeepSWE—54.9%
LMArena WebDev—1532
FrontierSWE—12%
SciCode—56.4%
WeirdML—60.3%
LMArena Coding—1497

Agentic & Tool Use Not comparable

Granite 4.0 Micro: —, Muse Spark 1.2: 29.5 (#77)

BenchmarkGranite 4.0 MicroMuse Spark 1.2
APEX-Agents—36.4%
GDP.pdf—16%

Reasoning Muse Spark 1.2 leads

Granite 4.0 Micro: 18.5 (#261), Muse Spark 1.2: 50.4 (#32)

BenchmarkGranite 4.0 MicroMuse Spark 1.2
SimpleBench—74.5%
NYT Connections (extended)—79.2%
CritPt—17.7%
Chess Puzzles0%—
LMArena Hard Prompts—1490
DTBench—94.7%
LMCA—48.4%
Epoch Capabilities Index—155.18

Math Muse Spark 1.2 leads

Granite 4.0 Micro: 11.2 (#301), Muse Spark 1.2: 43.8 (#68)

BenchmarkGranite 4.0 MicroMuse Spark 1.2
OTIS Mock AIME 2024-20252.8%—
ProofBench—43%
Omni-MATH20.9%—

Knowledge Muse Spark 1.2 leads

Granite 4.0 Micro: 9.9 (#299), Muse Spark 1.2: 53.9 (#49)

BenchmarkGranite 4.0 MicroMuse Spark 1.2
GPQA Diamond28.3%—
SimpleQA Verified—60.3%
MMLU-Pro39.5%—
GPQA (HELM)30.7%—
LMArena Expert—1485

Multimodal Not comparable

Granite 4.0 Micro: —, Muse Spark 1.2: 42.6 (#24)

BenchmarkGranite 4.0 MicroMuse Spark 1.2
LMArena Vision—1304

Multilingual Not comparable

Granite 4.0 Micro: —, Muse Spark 1.2: 57.4 (#10)

BenchmarkGranite 4.0 MicroMuse Spark 1.2
LMArena Non-English—1479
LMArena Chinese—1519
LMArena Russian—1494

Instruction Following Muse Spark 1.2 leads

Granite 4.0 Micro: 70.0 (#164), Muse Spark 1.2: 77.1 (#30)

BenchmarkGranite 4.0 MicroMuse Spark 1.2
IFEval84.9%—
LMArena Instruction Following—1466

Long Context Not comparable

Granite 4.0 Micro: —, Muse Spark 1.2: 45.4 (#35)

BenchmarkGranite 4.0 MicroMuse Spark 1.2
LMArena Longer Query—1483

Writing & Preference Muse Spark 1.2 leads

Granite 4.0 Micro: 46.7 (#212), Muse Spark 1.2: 72.6 (#14)

BenchmarkGranite 4.0 MicroMuse Spark 1.2
LMArena Text—1486
LMArena Creative Writing—1444
EQ-Bench Creative Writing—1840
WildBench67%—
LMArena Multi-Turn—1504

Frequently asked questions

Is Granite 4.0 Micro better than Muse Spark 1.2?

Muse Spark 1.2 is the stronger model overall, scoring 49.8 to 28.8 on the Noometry Index. Granite 4.0 Micro costs 49× less per token, which makes it the better buy when Muse Spark 1.2's lead doesn't matter for your workload.

Which is cheaper, Granite 4.0 Micro or Muse Spark 1.2?

Granite 4.0 Micro is cheaper. It lists at $0.017 per million input tokens and $0.11 per million output tokens; Muse Spark 1.2 lists at $1.25 and $4.25.

Which has the bigger context window?

Muse Spark 1.2 does, with 1.05M tokens against 131K.

How many benchmarks do Granite 4.0 Micro and Muse Spark 1.2 share?

0 benchmarks have published results for both models. Granite 4.0 Micro has 8 scored results on Noometry and Muse Spark 1.2 has 28.

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