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Gemma 3 4B vs Muse Spark 1.2

Muse Spark 1.2 leads Gemma 3 4B on the Artificial Analysis Intelligence Index, 39.6 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; 29 benchmarks have a result for both.

Gemma 3 4BGoogle
Coding
No data
Overall
22.6
Output $/M
$0.075
0
Muse Spark 1.2Meta
Coding
55.7
Overall
60.4
Output $/M
$4.25
29
vs boards won of 29 shared

Gemma 3 4B or Muse Spark 1.2: which to pick

Only Muse Spark 1.2 has a coding score, 55.7 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
29
Gemma 3 4B only
13
Muse Spark 1.2 only
68
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 1.2 55.7 from 5 benchmarks.
Widest category
Coding, 51.6 points apart on average over 3 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): Gemma 3 4B 6.7% against Muse Spark 1.2 79.0%, 72.3 points apart on a 0 to 100 scale.
Output price
Gemma 3 4B $0.075 against Muse Spark 1.2 $4.25 per million output tokens, 56.7x apart.
Context window
Gemma 3 4B takes 131K tokens, Muse Spark 1.2 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 1.2Ties
Coding03
Intelligence02
Reasoning05
Math02
Knowledge04
General013
All shared boards029
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for Gemma 3 4B and Muse Spark 1.2
BenchmarkGemma 3 4BMuse Spark 1.2Leader
LiveBench codingNot measured78.2%Only Muse Spark 1.2 measured
LMArena WebDevNot measured1534Only Muse Spark 1.2 measured
AA Coding Index2.772.2Muse Spark 1.2
SWE-bench Verified (Vals AI)Not measured86.6%Only Muse Spark 1.2 measured
Terminal-Bench 4 (Vals AI)Not measured6.1%Only Muse Spark 1.2 measured
Vibe Code Bench (Vals AI)Not measured79.1%Only Muse Spark 1.2 measured
Code migration (Vals AI)Not measured29.9%Only Muse Spark 1.2 measured
ProgramBench (Vals AI)Not measured0.5%Only Muse Spark 1.2 measured
IOI (Vals AI)Not measured21.8%Only Muse Spark 1.2 measured
Terminal-Bench 2.1 (Vals AI)Not measured69.7%Only Muse Spark 1.2 measured
SkillsBench (Vals AI)Not measured53.0%Only Muse Spark 1.2 measured
CyberBench (Vals AI)Not measured69.5%Only Muse Spark 1.2 measured
LiveCodeBench (Artificial Analysis run)11.2%Not measuredOnly Gemma 3 4B measured
SciCodeNot measured57.4%Only Muse Spark 1.2 measured
Terminal-Bench Hard (Artificial Analysis run)0.8%Not measuredOnly Gemma 3 4B measured
FrontierSWENot measured12.0%Only Muse Spark 1.2 measured
WeirdMLNot measured60.3%Only Muse Spark 1.2 measured
LMArena Text: coding12301505Muse Spark 1.2
LMArena Text: software and IT12691505Muse Spark 1.2
LMArena WebDev: ReactNot measured1526Only Muse Spark 1.2 measured
LMArena WebDev: HTMLNot measured1543Only Muse Spark 1.2 measured
SciCode0.0%Not measuredOnly Gemma 3 4B measured
Neither model has a result on the other 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemma 3 4B and Muse Spark 1.2
BenchmarkGemma 3 4BMuse Spark 1.2Leader
AA Intelligence Index4.839.6Muse Spark 1.2
Epoch Capabilities Index115.9155.1Muse Spark 1.2
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index20 boards, none shared
Agentic work benchmarks for Gemma 3 4B and Muse Spark 1.2
BenchmarkGemma 3 4BMuse Spark 1.2Leader
AA Agentic IndexNot measured43.2Only Muse Spark 1.2 measured
Design Arena: agents building web appsNot measured1221Only Muse Spark 1.2 measured
Design Arena: agents building full-stack appsNot measured1210Only Muse Spark 1.2 measured
Design Arena: agents building mobile appsNot measured1181Only Muse Spark 1.2 measured
Design Arena: agents building Android appsNot measured1222Only Muse Spark 1.2 measured
Design Arena: agents building gamesNot measured1179Only Muse Spark 1.2 measured
Design Arena: HTML slidesNot measured1085Only Muse Spark 1.2 measured
Design Arena: PowerPoint slidesNot measured1172Only Muse Spark 1.2 measured
LiveBench researchNot measured67.7%Only Muse Spark 1.2 measured
LiveBench browserNot measured36.0%Only Muse Spark 1.2 measured
LiveBench long agenticNot measured21.3%Only Muse Spark 1.2 measured
SREBench (Vals AI)Not measured0.0%Only Muse Spark 1.2 measured
Finance Agent (Vals AI)Not measured60.6%Only Muse Spark 1.2 measured
Tax Agent Bench (Vals AI)Not measured32.8%Only Muse Spark 1.2 measured
Legal Research Bench (Vals AI)Not measured43.8%Only Muse Spark 1.2 measured
Excel Modeling Benchmark (Vals AI)Not measured57.0%Only Muse Spark 1.2 measured
BioMysteryBench (Vals AI)Not measured64.8%Only Muse Spark 1.2 measured
τ²-Bench Telecom5.0%Not measuredOnly Gemma 3 4B measured
APEX-AgentsNot measured45.4%Only Muse Spark 1.2 measured
Berkeley Function Calling Leaderboard (BFCL)19.6%Not measuredOnly Gemma 3 4B measured
Neither model has a result on the other 21 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Gemma 3 4B and Muse Spark 1.2
BenchmarkGemma 3 4BMuse Spark 1.2Leader
LiveBench reasoningNot measured90.0%Only Muse Spark 1.2 measured
MMMU Pro (Vals AI)Not measured86.1%Only Muse Spark 1.2 measured
GPQA Diamond (Artificial Analysis run)29.1%90.4%Muse Spark 1.2
Humanity's Last Exam (Artificial Analysis run)5.3%45.5%Muse Spark 1.2
GPQA Diamond (Epoch AI run)23.2%Not measuredOnly Gemma 3 4B measured
SimpleBenchNot measured74.5%Only Muse Spark 1.2 measured
Chess puzzlesNot measured27.0%Only Muse Spark 1.2 measured
LMArena Text: hard prompts12531489Muse Spark 1.2
LMArena Text: expert12231475Muse Spark 1.2
LMArena Text: hard prompts in English12531487Muse Spark 1.2
LMArena Vision: diagramsNot measured1317Only Muse Spark 1.2 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 index02
Math benchmarks for Gemma 3 4B and Muse Spark 1.2
BenchmarkGemma 3 4BMuse Spark 1.2Leader
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%Not measuredOnly Gemma 3 4B measured
ProofBenchNot measured43.0%Only Muse Spark 1.2 measured
LMArena Text: math12391484Muse Spark 1.2
LMArena Text: mathematical work12561480Muse Spark 1.2
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Gemma 3 4B and Muse Spark 1.2
BenchmarkGemma 3 4BMuse Spark 1.2Leader
MMLU ProNot measured88.3%Only Muse Spark 1.2 measured
LegalBench (Vals AI)Not measured85.3%Only Muse Spark 1.2 measured
CorpFin (Vals AI)Not measured70.9%Only Muse Spark 1.2 measured
TaxEval (Vals AI)Not measured80.4%Only Muse Spark 1.2 measured
MortgageTax (Vals AI)Not measured65.4%Only Muse Spark 1.2 measured
MedCode (Vals AI)Not measured49.4%Only Muse Spark 1.2 measured
MMLU Pro (Artificial Analysis run)41.7%Not measuredOnly Gemma 3 4B measured
SimpleQA VerifiedNot measured60.3%Only Muse Spark 1.2 measured
LMArena Text: science13061500Muse Spark 1.2
LMArena Text: medicine and healthcare13421496Muse Spark 1.2
LMArena Text: legal and government13271517Muse Spark 1.2
LMArena Text: business and finance13111484Muse Spark 1.2
Neither model has a result on the other 6 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 1.2
BenchmarkGemma 3 4BMuse Spark 1.2Leader
Design Arena: websitesNot measured1312Only Muse Spark 1.2 measured
Design Arena: UI componentsNot measured1298Only Muse Spark 1.2 measured
Design Arena: game devNot measured1301Only Muse Spark 1.2 measured
Design Arena: data vizNot measured1334Only Muse Spark 1.2 measured
Design Arena: 3DNot measured1301Only Muse Spark 1.2 measured
Design Arena: all code categoriesNot measured1312Only Muse Spark 1.2 measured
Design Arena: SVGNot measured1284Only Muse Spark 1.2 measured
Design Arena: ASCII artNot measured1284Only Muse Spark 1.2 measured
LiveBench designNot measured67.1%Only Muse Spark 1.2 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index013
General benchmarks for Gemma 3 4B and Muse Spark 1.2
BenchmarkGemma 3 4BMuse Spark 1.2Leader
LiveBench data analysisNot measured76.5%Only Muse Spark 1.2 measured
Public Benefits Bench (Vals AI)Not measured68.5%Only Muse Spark 1.2 measured
SAGE (Vals AI)Not measured47.7%Only Muse Spark 1.2 measured
MedScribe (Vals AI)Not measured90.1%Only Muse Spark 1.2 measured
Vals Multimodal IndexNot measured69.8%Only Muse Spark 1.2 measured
IFBench28.3%Not measuredOnly Gemma 3 4B measured
Long context reasoning (AA-LCR)6.7%79.0%Muse Spark 1.2
DTBench50.9%94.7%Muse Spark 1.2
LMCA2.8%48.4%Muse Spark 1.2
LMArena Text12911482Muse Spark 1.2
LMArena Text: instruction following12391462Muse Spark 1.2
LMArena Text: creative writing12701436Muse Spark 1.2
LMArena VisionNot measured1304Only Muse Spark 1.2 measured
LMArena Text: English13001483Muse Spark 1.2
LMArena Text: non-English12731476Muse Spark 1.2
LMArena Text: ChineseNot measured1509Only Muse Spark 1.2 measured
LMArena Text: German1281Not measuredOnly Gemma 3 4B measured
LMArena Text: KoreanNot measured1462Only Muse Spark 1.2 measured
LMArena Text: FrenchNot measured1495Only Muse Spark 1.2 measured
LMArena Text: SpanishNot measured1484Only Muse Spark 1.2 measured
LMArena Text: Russian12941483Muse Spark 1.2
LMArena Text: multi-turn12551502Muse Spark 1.2
LMArena Text: longer queries12731473Muse Spark 1.2
LMArena Text: writing and language12881453Muse Spark 1.2
LMArena Text: entertainment and media12331443Muse Spark 1.2
LMArena Vision: EnglishNot measured1291Only Muse Spark 1.2 measured
LMArena Vision: reading textNot measured1313Only Muse Spark 1.2 measured
Neither model has a result on the other 19 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 1.2
BenchmarkGemma 3 4BMuse Spark 1.2Leader
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 1.2$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 1.2$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 1.2$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 1.2
SpecificationGoogle Gemma 3 4BMeta Muse Spark 1.2
MakerGoogleMeta
WeightsOpen weightsNo public weights listed
ReleasedMarch 13, 2025August 5, 2026
Context window131K1.05M
Input $/Mtok$0.045$1.25
Output $/Mtok$0.075$4.25
Coding indexNot benchmarked55.7
Independent measurements behind it05
Cost per solved taskNot computable$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 3 4B better than Muse Spark 1.2 for coding?

Only Muse Spark 1.2 has a coding score, 55.7 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 1.2?

Gemma 3 4B costs $0.045 per million input tokens and $0.075 per million output tokens; Muse Spark 1.2 costs $1.25 and $4.25. Cost per solved task is known for Muse Spark 1.2 only.

Which has the bigger context window, Gemma 3 4B or Muse Spark 1.2?

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

How many benchmarks is the Gemma 3 4B vs Muse Spark 1.2 comparison based on?

29 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 1.2's on 5. Where only one model has a result, the page says so instead of naming a winner.

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