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Granite 4.0 Micro vs Muse Spark 1.1

Muse Spark 1.1 leads Granite 4.0 Micro on the Artificial Analysis Intelligence Index, 33.7 to 5.1, and Granite 4.0 Micro costs 37.9x less per output token ($0.112 vs $4.25 per million). Updated October 22, 2026; 4 benchmarks have a result for both.

Granite 4.0 MicroIBM Granite
Coding
No data
Overall
No data
Output $/M
$0.112
0
Muse Spark 1.1Meta
Coding
70.3
Overall
67.0
Output $/M
$4.25
4
vs boards won of 4 shared

Granite 4.0 Micro or Muse Spark 1.1: which to pick

Only Muse Spark 1.1 has a coding score, 70.3 on the Vibe Coding Index; Granite 4.0 Micro has none, so the two cannot be ranked on coding.

Pick Granite 4.0 Micro for output tokens 37.9x cheaper ($0.112 vs $4.25 per million).

Shared results
4
Granite 4.0 Micro only
9
Muse Spark 1.1 only
100
Like-for-like categories
3 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Granite 4.0 Micro not benchmarked, Muse Spark 1.1 70.3 from 3 benchmarks.
Widest category
General, 70.7 points apart on average over 1 shared benchmark.
Widest single gap
Long context reasoning (AA-LCR): Granite 4.0 Micro 7.0% against Muse Spark 1.1 77.7%, 70.7 points apart on a 0 to 100 scale.
Output price
Granite 4.0 Micro $0.112 against Muse Spark 1.1 $4.25 per million output tokens, 37.9x apart.
Context window
Granite 4.0 Micro takes 131K tokens, Muse Spark 1.1 1.05M.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryGranite 4.0 MicroBarsMuse Spark 1.1Ties
Intelligence01
Reasoning02
General01
All shared boards04
CodingDirectional onlySix of these boards feed the Vibe Coding Index19 boards, none shared
Coding benchmarks for Granite 4.0 Micro and Muse Spark 1.1
BenchmarkGranite 4.0 MicroMuse Spark 1.1Leader
LMArena WebDevNot measured1542Only Muse Spark 1.1 measured
AA Coding IndexNot measured71.3Only Muse Spark 1.1 measured
LiveCodeBench (Vals AI)Not measured85.9%Only Muse Spark 1.1 measured
SWE-bench Verified (Vals AI)Not measured82.0%Only Muse Spark 1.1 measured
Vibe Code Bench (Vals AI)Not measured72.2%Only Muse Spark 1.1 measured
Code migration (Vals AI)Not measured31.1%Only Muse Spark 1.1 measured
ProgramBench (Vals AI)Not measured0.0%Only Muse Spark 1.1 measured
Terminal-Bench 2.1 (Vals AI)Not measured69.3%Only Muse Spark 1.1 measured
SkillsBench (Vals AI)Not measured59.2%Only Muse Spark 1.1 measured
LiveCodeBench (Artificial Analysis run)18.0%Not measuredOnly Granite 4.0 Micro measured
SciCodeNot measured58.8%Only Muse Spark 1.1 measured
Terminal-Bench Hard (Artificial Analysis run)1.5%Not measuredOnly Granite 4.0 Micro measured
LMArena Text: codingNot measured1498Only Muse Spark 1.1 measured
LMArena Text: software and ITNot measured1498Only Muse Spark 1.1 measured
LMArena WebDev: ReactNot measured1532Only Muse Spark 1.1 measured
LMArena WebDev: HTMLNot measured1540Only Muse Spark 1.1 measured
LMArena WebDev: from an imageNot measured1540Only Muse Spark 1.1 measured
SWE Atlas: Codebase QnANot measured42.2%Only Muse Spark 1.1 measured
SWE Atlas: Test WritingNot measured41.5%Only Muse Spark 1.1 measured
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Granite 4.0 Micro and Muse Spark 1.1
BenchmarkGranite 4.0 MicroMuse Spark 1.1Leader
AA Intelligence Index5.133.7Muse Spark 1.1
Epoch Capabilities IndexNot measured154.1Only Muse Spark 1.1 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index18 boards, none shared
Agentic work benchmarks for Granite 4.0 Micro and Muse Spark 1.1
BenchmarkGranite 4.0 MicroMuse Spark 1.1Leader
AA Agentic IndexNot measured25.8Only Muse Spark 1.1 measured
Design Arena: agents building web appsNot measured1207Only Muse Spark 1.1 measured
Design Arena: agents building full-stack appsNot measured1199Only Muse Spark 1.1 measured
Design Arena: agents building mobile appsNot measured1175Only Muse Spark 1.1 measured
Design Arena: agents building Android appsNot measured1178Only Muse Spark 1.1 measured
Design Arena: agents building Godot gamesNot measured1103Only Muse Spark 1.1 measured
Design Arena: agents building gamesNot measured1183Only Muse Spark 1.1 measured
Design Arena: HTML slidesNot measured1145Only Muse Spark 1.1 measured
Design Arena: PowerPoint slidesNot measured1134Only Muse Spark 1.1 measured
Design Arena: spreadsheetsNot measured1021Only Muse Spark 1.1 measured
Finance Agent (Vals AI)Not measured57.2%Only Muse Spark 1.1 measured
Legal Research Bench (Vals AI)Not measured38.0%Only Muse Spark 1.1 measured
Excel Modeling Benchmark (Vals AI)Not measured56.4%Only Muse Spark 1.1 measured
Time Horizon Index (Vals AI)Not measured1.7%Only Muse Spark 1.1 measured
τ²-Bench Telecom12.6%Not measuredOnly Granite 4.0 Micro measured
APEX-AgentsNot measured31.8%Only Muse Spark 1.1 measured
Vending-Bench 2Not measured$6,520Only Muse Spark 1.1 measured
MCP AtlasNot measured88.1%Only Muse Spark 1.1 measured
Neither model has a result on the other 24 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
Reasoning benchmarks for Granite 4.0 Micro and Muse Spark 1.1
BenchmarkGranite 4.0 MicroMuse Spark 1.1Leader
GPQA DiamondNot measured91.2%Only Muse Spark 1.1 measured
MMMU Pro (Vals AI)Not measured86.6%Only Muse Spark 1.1 measured
GPQA Diamond (Artificial Analysis run)33.6%89.8%Muse Spark 1.1
Humanity's Last Exam (Artificial Analysis run)5.0%46.2%Muse Spark 1.1
GPQA Diamond (Epoch AI run)28.3%Not measuredOnly Granite 4.0 Micro measured
Chess puzzlesNot measured34.0%Only Muse Spark 1.1 measured
LMArena Text: hard promptsNot measured1485Only Muse Spark 1.1 measured
LMArena Text: expertNot measured1478Only Muse Spark 1.1 measured
LMArena Text: hard prompts in EnglishNot measured1480Only Muse Spark 1.1 measured
LMArena Vision: diagramsNot measured1305Only Muse Spark 1.1 measured
LMArena Vision: homeworkNot measured1287Only Muse Spark 1.1 measured
Neither model has a result on the other 12 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Math benchmarks for Granite 4.0 Micro and Muse Spark 1.1
BenchmarkGranite 4.0 MicroMuse Spark 1.1Leader
AA Math Index6.0Not measuredOnly Granite 4.0 Micro measured
AIME 2025 (Artificial Analysis run)6.0%Not measuredOnly Granite 4.0 Micro measured
OTIS Mock AIME2.8%Not measuredOnly Granite 4.0 Micro measured
ProofBenchNot measured39.0%Only Muse Spark 1.1 measured
LMArena Text: mathNot measured1482Only Muse Spark 1.1 measured
LMArena Text: mathematical workNot measured1487Only Muse Spark 1.1 measured
MathArenaNot measured42.5%Only Muse Spark 1.1 measured
Neither model has a result on the other 7 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index13 boards, none shared
Knowledge benchmarks for Granite 4.0 Micro and Muse Spark 1.1
BenchmarkGranite 4.0 MicroMuse Spark 1.1Leader
MMLU ProNot measured88.7%Only Muse Spark 1.1 measured
LegalBench (Vals AI)Not measured85.0%Only Muse Spark 1.1 measured
CorpFin (Vals AI)Not measured71.3%Only Muse Spark 1.1 measured
TaxEval (Vals AI)Not measured79.7%Only Muse Spark 1.1 measured
MortgageTax (Vals AI)Not measured66.1%Only Muse Spark 1.1 measured
MMLU Pro (Artificial Analysis run)44.7%Not measuredOnly Granite 4.0 Micro measured
SimpleQA VerifiedNot measured57.8%Only Muse Spark 1.1 measured
LMArena Text: scienceNot measured1484Only Muse Spark 1.1 measured
LMArena Text: medicine and healthcareNot measured1479Only Muse Spark 1.1 measured
LMArena Text: legal and governmentNot measured1481Only Muse Spark 1.1 measured
LMArena Text: business and financeNot measured1470Only Muse Spark 1.1 measured
PRBench FinanceNot measured55.0%Only Muse Spark 1.1 measured
PRBench LegalNot measured57.0%Only Muse Spark 1.1 measured
Neither model has a result on the other 7 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Granite 4.0 Micro and Muse Spark 1.1
BenchmarkGranite 4.0 MicroMuse Spark 1.1Leader
Design Arena: websitesNot measured1270Only Muse Spark 1.1 measured
Design Arena: UI componentsNot measured1287Only Muse Spark 1.1 measured
Design Arena: game devNot measured1269Only Muse Spark 1.1 measured
Design Arena: data vizNot measured1267Only Muse Spark 1.1 measured
Design Arena: 3DNot measured1259Only Muse Spark 1.1 measured
Design Arena: all code categoriesNot measured1276Only Muse Spark 1.1 measured
Design Arena: SVGNot measured1234Only Muse Spark 1.1 measured
Design Arena: ASCII artNot measured1269Only Muse Spark 1.1 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index01
General benchmarks for Granite 4.0 Micro and Muse Spark 1.1
BenchmarkGranite 4.0 MicroMuse Spark 1.1Leader
Public Benefits Bench (Vals AI)Not measured61.3%Only Muse Spark 1.1 measured
SAGE (Vals AI)Not measured45.6%Only Muse Spark 1.1 measured
MedScribe (Vals AI)Not measured88.9%Only Muse Spark 1.1 measured
Vals Multimodal IndexNot measured66.7%Only Muse Spark 1.1 measured
IFBench24.8%Not measuredOnly Granite 4.0 Micro measured
Long context reasoning (AA-LCR)7.0%77.7%Muse Spark 1.1
DTBenchNot measured94.4%Only Muse Spark 1.1 measured
LMCANot measured49.9%Only Muse Spark 1.1 measured
Surface Evolver BenchNot measured52.5%Only Muse Spark 1.1 measured
LMArena TextNot measured1478Only Muse Spark 1.1 measured
LMArena Text: instruction followingNot measured1457Only Muse Spark 1.1 measured
LMArena Text: creative writingNot measured1435Only Muse Spark 1.1 measured
LMArena VisionNot measured1293Only Muse Spark 1.1 measured
LMArena Text: EnglishNot measured1478Only Muse Spark 1.1 measured
LMArena Text: non-EnglishNot measured1471Only Muse Spark 1.1 measured
LMArena Text: ChineseNot measured1515Only Muse Spark 1.1 measured
LMArena Text: GermanNot measured1469Only Muse Spark 1.1 measured
LMArena Text: JapaneseNot measured1450Only Muse Spark 1.1 measured
LMArena Text: KoreanNot measured1459Only Muse Spark 1.1 measured
LMArena Text: FrenchNot measured1492Only Muse Spark 1.1 measured
LMArena Text: SpanishNot measured1464Only Muse Spark 1.1 measured
LMArena Text: RussianNot measured1482Only Muse Spark 1.1 measured
LMArena Text: PolishNot measured1499Only Muse Spark 1.1 measured
LMArena Text: multi-turnNot measured1484Only Muse Spark 1.1 measured
LMArena Text: longer queriesNot measured1462Only Muse Spark 1.1 measured
LMArena Text: writing and languageNot measured1448Only Muse Spark 1.1 measured
LMArena Text: entertainment and mediaNot measured1438Only Muse Spark 1.1 measured
LMArena Vision: EnglishNot measured1292Only Muse Spark 1.1 measured
LMArena Vision: ChineseNot measured1348Only Muse Spark 1.1 measured
LMArena Vision: reading textNot measured1301Only Muse Spark 1.1 measured
LMArena Vision: humorNot measured1288Only Muse Spark 1.1 measured
LMArena Vision: creative writingNot measured1253Only Muse Spark 1.1 measured
LMArena DocumentNot measured1465Only Muse Spark 1.1 measured
MultiChallengeNot measured75.3%Only Muse Spark 1.1 measured
EQ-Bench 4Not measured1260Only Muse Spark 1.1 measured
Neither model has a result on the other 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Granite 4.0 Micro and Muse Spark 1.1
BenchmarkGranite 4.0 MicroMuse Spark 1.1Leader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Granite 4.0 Micro$0.0001Fits in one request
Muse Spark 1.1$0.0034Fits in one request

Granite 4.0 Micro costs less

Repository review

50K input + 3K output tokens

Granite 4.0 Micro$0.0012Fits in one request
Muse Spark 1.1$0.075Fits in one request

Granite 4.0 Micro costs less

Agent loop

200K input + 10K output tokens

Granite 4.0 Micro$0.0045Exceeds the context window
Muse Spark 1.1$0.292Fits in one request

Granite 4.0 Micro costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Granite 4.0 Micro and Muse Spark 1.1
SpecificationIBM Granite 4.0 MicroMeta Muse Spark 1.1
MakerIBM GraniteMeta
WeightsOpen weightsNo public weights listed
ReleasedOctober 20, 2025July 16, 2026
Context window131K1.05M
Input $/Mtok$0.017$1.25
Output $/Mtok$0.112$4.25
Coding indexNot benchmarked70.3
Independent measurements behind it03
Cost per solved taskNot computable$0.43
SourceOpenRouter listingOpenRouter listing

Questions

Is Granite 4.0 Micro better than Muse Spark 1.1 for coding?

Only Muse Spark 1.1 has a coding score, 70.3 on the Vibe Coding Index; Granite 4.0 Micro has none, so the two cannot be ranked on coding. Pick Granite 4.0 Micro for output tokens 37.9x cheaper ($0.112 vs $4.25 per million).

Which is cheaper, Granite 4.0 Micro or Muse Spark 1.1?

Granite 4.0 Micro costs $0.017 per million input tokens and $0.112 per million output tokens; Muse Spark 1.1 costs $1.25 and $4.25. Cost per solved task is known for Muse Spark 1.1 only.

Which has the bigger context window, Granite 4.0 Micro or Muse Spark 1.1?

Muse Spark 1.1, with 1.05M tokens against 131K.

How many benchmarks is the Granite 4.0 Micro vs Muse Spark 1.1 comparison based on?

4 benchmarks have a result for both models as of October 22, 2026. Granite 4.0 Micro's coding index rests on 0 independent benchmarks and Muse Spark 1.1's on 3. Where only one model has a result, the page says so instead of naming a winner.

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