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Gemma 3 4B vs Muse Spark 1.3

Muse Spark 1.3 leads Gemma 3 4B on the Artificial Analysis Intelligence Index, 48.1 to 4.8, and Gemma 3 4B costs 56.7x less per output token ($0.075 vs $4.25 per million). Updated October 22, 2026; 31 benchmarks have a result for both.

Gemma 3 4BGoogle
Coding
No data
Overall
22.6
Output $/M
$0.075
0
Muse Spark 1.3Meta
Coding
57.4
Overall
68.6
Output $/M
$4.25
31
vs boards won of 31 shared

Gemma 3 4B or Muse Spark 1.3: which to pick

Only Muse Spark 1.3 has a coding score, 57.4 on the Vibe Coding Index; Gemma 3 4B has none, so the two cannot be ranked on coding.

Pick Gemma 3 4B for output tokens 56.7x cheaper ($0.075 vs $4.25 per million).

Shared results
31
Gemma 3 4B only
11
Muse Spark 1.3 only
61
Like-for-like categories
6 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
Gemma 3 4B not benchmarked, Muse Spark 1.3 57.4 from 4 benchmarks.
Widest category
Math, 57.9 points apart on average over 3 shared benchmarks.
Widest single gap
OTIS Mock AIME: Gemma 3 4B 7.5% against Muse Spark 1.3 99.2%, 91.7 points apart on a 0 to 100 scale.
Output price
Gemma 3 4B $0.075 against Muse Spark 1.3 $4.25 per million output tokens, 56.7x apart.
Context window
Gemma 3 4B takes 131K tokens, Muse Spark 1.3 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
CategoryGemma 3 4BBarsMuse Spark 1.3Ties
Coding03
Intelligence02
Reasoning05
Math03
Knowledge04
General014
All shared boards031
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for Gemma 3 4B and Muse Spark 1.3
BenchmarkGemma 3 4BMuse Spark 1.3Leader
LiveBench codingNot measured90.2%Only Muse Spark 1.3 measured
LMArena WebDevNot measured1659Only Muse Spark 1.3 measured
AA Coding Index2.775.8Muse Spark 1.3
Terminal-Bench 4 (Vals AI)Not measured10.6%Only Muse Spark 1.3 measured
Vibe Code Bench (Vals AI)Not measured82.9%Only Muse Spark 1.3 measured
Code migration (Vals AI)Not measured27.6%Only Muse Spark 1.3 measured
ProgramBench (Vals AI)Not measured0.5%Only Muse Spark 1.3 measured
IOI (Vals AI)Not measured43.9%Only Muse Spark 1.3 measured
Terminal-Bench 2.1 (Vals AI)Not measured72.3%Only Muse Spark 1.3 measured
CyberBench (Vals AI)Not measured69.4%Only Muse Spark 1.3 measured
LiveCodeBench (Artificial Analysis run)11.2%Not measuredOnly Gemma 3 4B measured
SciCodeNot measured59.7%Only Muse Spark 1.3 measured
Terminal-Bench Hard (Artificial Analysis run)0.8%Not measuredOnly Gemma 3 4B measured
FrontierSWENot measured25.8%Only Muse Spark 1.3 measured
ALE-BenchNot measured1688.3Only Muse Spark 1.3 measured
LMArena Text: coding12301510Muse Spark 1.3
LMArena Text: software and IT12691511Muse Spark 1.3
LMArena WebDev: ReactNot measured1672Only Muse Spark 1.3 measured
LMArena WebDev: HTMLNot measured1653Only Muse Spark 1.3 measured
LMArena WebDev: from an imageNot measured1640Only Muse Spark 1.3 measured
SciCode0.0%Not measuredOnly Gemma 3 4B measured
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemma 3 4B and Muse Spark 1.3
BenchmarkGemma 3 4BMuse Spark 1.3Leader
AA Intelligence Index4.848.1Muse Spark 1.3
Epoch Capabilities Index115.9157.2Muse Spark 1.3
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index18 boards, none shared
Agentic work benchmarks for Gemma 3 4B and Muse Spark 1.3
BenchmarkGemma 3 4BMuse Spark 1.3Leader
AA Agentic IndexNot measured55.5Only Muse Spark 1.3 measured
Design Arena: agents building web appsNot measured1297Only Muse Spark 1.3 measured
Design Arena: agents building full-stack appsNot measured1295Only Muse Spark 1.3 measured
Design Arena: agents building mobile appsNot measured1218Only Muse Spark 1.3 measured
Design Arena: agents building Godot gamesNot measured1241Only Muse Spark 1.3 measured
Design Arena: PowerPoint slidesNot measured1219Only Muse Spark 1.3 measured
Design Arena: spreadsheetsNot measured1062Only Muse Spark 1.3 measured
LiveBench researchNot measured68.6%Only Muse Spark 1.3 measured
LiveBench browserNot measured80.0%Only Muse Spark 1.3 measured
LiveBench long agenticNot measured40.4%Only Muse Spark 1.3 measured
Finance Agent (Vals AI)Not measured58.9%Only Muse Spark 1.3 measured
Tax Agent Bench (Vals AI)Not measured36.0%Only Muse Spark 1.3 measured
Legal Research Bench (Vals AI)Not measured40.9%Only Muse Spark 1.3 measured
Excel Modeling Benchmark (Vals AI)Not measured62.7%Only Muse Spark 1.3 measured
Terminal-Bench-Science (Vals AI)Not measured4.3%Only Muse Spark 1.3 measured
τ²-Bench Telecom5.0%Not measuredOnly Gemma 3 4B measured
APEX-AgentsNot measured58.6%Only Muse Spark 1.3 measured
Berkeley Function Calling Leaderboard (BFCL)19.6%Not measuredOnly Gemma 3 4B measured
Neither model has a result on the other 23 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Gemma 3 4B and Muse Spark 1.3
BenchmarkGemma 3 4BMuse Spark 1.3Leader
LiveBench reasoningNot measured89.7%Only Muse Spark 1.3 measured
GPQA Diamond (Artificial Analysis run)29.1%94.1%Muse Spark 1.3
Humanity's Last Exam (Artificial Analysis run)5.3%48.7%Muse Spark 1.3
GPQA Diamond (Epoch AI run)23.2%Not measuredOnly Gemma 3 4B measured
Chess puzzlesNot measured37.0%Only Muse Spark 1.3 measured
Mystery game puzzlesNot measured25.0%Only Muse Spark 1.3 measured
LMArena Text: hard prompts12531503Muse Spark 1.3
LMArena Text: expert12231519Muse Spark 1.3
LMArena Text: hard prompts in English12531500Muse Spark 1.3
LMArena Vision: diagramsNot measured1330Only Muse Spark 1.3 measured
LMArena Vision: homeworkNot measured1296Only Muse Spark 1.3 measured
Kagi LLM Benchmark25.2%Not measuredOnly Gemma 3 4B measured
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for Gemma 3 4B and Muse Spark 1.3
BenchmarkGemma 3 4BMuse Spark 1.3Leader
AA Math Index12.7Not measuredOnly Gemma 3 4B measured
AIME 2025 (Artificial Analysis run)12.7%Not measuredOnly Gemma 3 4B measured
OTIS Mock AIME7.5%99.2%Muse Spark 1.3
FrontierMath, tiers 1 to 3Not measured74.4%Only Muse Spark 1.3 measured
FrontierMath, tier 4Not measured46.3%Only Muse Spark 1.3 measured
ProofBenchNot measured58.0%Only Muse Spark 1.3 measured
LMArena Text: math12391497Muse Spark 1.3
LMArena Text: mathematical work12561491Muse Spark 1.3
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Gemma 3 4B and Muse Spark 1.3
BenchmarkGemma 3 4BMuse Spark 1.3Leader
MMLU Pro (Artificial Analysis run)41.7%Not measuredOnly Gemma 3 4B measured
LMArena Text: science13061507Muse Spark 1.3
LMArena Text: medicine and healthcare13421493Muse Spark 1.3
LMArena Text: legal and government13271499Muse Spark 1.3
LMArena Text: business and finance13111490Muse Spark 1.3
Neither model has a result on the other 13 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Gemma 3 4B and Muse Spark 1.3
BenchmarkGemma 3 4BMuse Spark 1.3Leader
Design Arena: websitesNot measured1356Only Muse Spark 1.3 measured
Design Arena: UI componentsNot measured1349Only Muse Spark 1.3 measured
Design Arena: game devNot measured1328Only Muse Spark 1.3 measured
Design Arena: data vizNot measured1343Only Muse Spark 1.3 measured
Design Arena: 3DNot measured1358Only Muse Spark 1.3 measured
Design Arena: all code categoriesNot measured1352Only Muse Spark 1.3 measured
Design Arena: SVGNot measured1301Only Muse Spark 1.3 measured
Design Arena: ASCII artNot measured1278Only Muse Spark 1.3 measured
LiveBench designNot measured74.8%Only Muse Spark 1.3 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index014
General benchmarks for Gemma 3 4B and Muse Spark 1.3
BenchmarkGemma 3 4BMuse Spark 1.3Leader
LiveBench data analysisNot measured79.6%Only Muse Spark 1.3 measured
IFBench28.3%Not measuredOnly Gemma 3 4B measured
Long context reasoning (AA-LCR)6.7%83.0%Muse Spark 1.3
DTBench50.9%96.5%Muse Spark 1.3
LMCA2.8%53.9%Muse Spark 1.3
LMArena Text12911490Muse Spark 1.3
LMArena Text: instruction following12391479Muse Spark 1.3
LMArena Text: creative writing12701462Muse Spark 1.3
LMArena VisionNot measured1308Only Muse Spark 1.3 measured
LMArena Text: English13001495Muse Spark 1.3
LMArena Text: non-English12731481Muse Spark 1.3
LMArena Text: ChineseNot measured1532Only Muse Spark 1.3 measured
LMArena Text: German12811513Muse Spark 1.3
LMArena Text: JapaneseNot measured1470Only Muse Spark 1.3 measured
LMArena Text: KoreanNot measured1490Only Muse Spark 1.3 measured
LMArena Text: FrenchNot measured1511Only Muse Spark 1.3 measured
LMArena Text: SpanishNot measured1496Only Muse Spark 1.3 measured
LMArena Text: Russian12941491Muse Spark 1.3
LMArena Text: PolishNot measured1490Only Muse Spark 1.3 measured
LMArena Text: multi-turn12551487Muse Spark 1.3
LMArena Text: longer queries12731488Muse Spark 1.3
LMArena Text: writing and language12881470Muse Spark 1.3
LMArena Text: entertainment and media12331457Muse Spark 1.3
LMArena Vision: EnglishNot measured1298Only Muse Spark 1.3 measured
LMArena Vision: ChineseNot measured1384Only Muse Spark 1.3 measured
LMArena Vision: reading textNot measured1319Only Muse Spark 1.3 measured
LMArena Vision: humorNot measured1293Only Muse Spark 1.3 measured
LMArena Vision: creative writingNot measured1296Only Muse Spark 1.3 measured
Neither model has a result on the other 18 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemma 3 4B and Muse Spark 1.3
BenchmarkGemma 3 4BMuse Spark 1.3Leader
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

Gemma 3 4B$0.0001Fits in one request
Muse Spark 1.3$0.0034Fits in one request

Gemma 3 4B costs less

Repository review

50K input + 3K output tokens

Gemma 3 4B$0.0025Fits in one request
Muse Spark 1.3$0.075Fits in one request

Gemma 3 4B costs less

Agent loop

200K input + 10K output tokens

Gemma 3 4B$0.0097Exceeds the context window
Muse Spark 1.3$0.292Fits in one request

Gemma 3 4B 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 Gemma 3 4B and Muse Spark 1.3
SpecificationGoogle Gemma 3 4BMeta Muse Spark 1.3
MakerGoogleMeta
WeightsOpen weightsNo public weights listed
ReleasedMarch 13, 2025September 2, 2026
Context window131K1.05M
Input $/Mtok$0.045$1.25
Output $/Mtok$0.075$4.25
Coding indexNot benchmarked57.4
Independent measurements behind it04
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 3 4B better than Muse Spark 1.3 for coding?

Only Muse Spark 1.3 has a coding score, 57.4 on the Vibe Coding Index; Gemma 3 4B has none, so the two cannot be ranked on coding. Pick Gemma 3 4B for output tokens 56.7x cheaper ($0.075 vs $4.25 per million).

Which is cheaper, Gemma 3 4B or Muse Spark 1.3?

Gemma 3 4B costs $0.045 per million input tokens and $0.075 per million output tokens; Muse Spark 1.3 costs $1.25 and $4.25. Cost per solved task is known for neither of them.

Which has the bigger context window, Gemma 3 4B or Muse Spark 1.3?

Muse Spark 1.3, with 1.05M tokens against 131K.

How many benchmarks is the Gemma 3 4B vs Muse Spark 1.3 comparison based on?

31 benchmarks have a result for both models as of October 22, 2026. Gemma 3 4B's coding index rests on 0 independent benchmarks and Muse Spark 1.3's on 4. Where only one model has a result, the page says so instead of naming a winner.

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