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Gemma 3 27B vs Muse Spark 1.1

Updated October 21, 2026. 46 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Gemma 3 27BGoogle
Coding
4.9
Overall
4.9
Output $/M
$0.35
0
Muse Spark 1.1Meta
Coding
48.9
Overall
33.7
Output $/M
$4.25
46
vs boards won of 46 shared

Decision reading

Pick Muse Spark 1.1 for coding: it scores 48.9 on the Vibe Coding Index against 4.9 for Gemma 3 27B.

Pick Gemma 3 27B when output tokens cost 12.1x less.

Shared results
46
Gemma 3 27B only
16
Muse Spark 1.1 only
50
Like-for-like categories
7 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 27B 4.9 from 1 benchmark, Muse Spark 1.1 48.9 from 1 benchmark.
Widest category
Coding, 37.5 points apart on average over 4 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): Gemma 3 27B 7.3% against Muse Spark 1.1 77.7%, 70.3 points apart on a 0 to 100 scale.
Output price
Gemma 3 27B $0.35 against Muse Spark 1.1 $4.25 per million output tokens, 12.1x apart.
Context window
Gemma 3 27B 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
CategoryGemma 3 27BBarsMuse Spark 1.1Ties
Coding04
Intelligence02
Agentic work01
Reasoning07
Math02
Knowledge04
General026
All shared boards046
CodingLike-for-likeFour of these boards feed the Vibe Coding Index04
Coding benchmarks for Gemma 3 27B and Muse Spark 1.1
BenchmarkGemma 3 27BMuse Spark 1.1Leader
Aider polyglot4.9%Not measuredOnly Gemma 3 27B measured
LMArena WebDevNot measured1542Only Muse Spark 1.1 measured
AA Coding Index10.171.3Muse Spark 1.1
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)13.7%Not measuredOnly Gemma 3 27B measured
SciCode23.3%58.8%Muse Spark 1.1
Terminal-Bench Hard (Artificial Analysis run)3.8%Not measuredOnly Gemma 3 27B measured
LMArena Text: coding13221498Muse Spark 1.1
LMArena Text: software and IT13541498Muse Spark 1.1
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
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemma 3 27B and Muse Spark 1.1
BenchmarkGemma 3 27BMuse Spark 1.1Leader
AA Intelligence Index4.933.7Muse Spark 1.1
Epoch Capabilities Index130.0154.1Muse Spark 1.1
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Gemma 3 27B and Muse Spark 1.1
BenchmarkGemma 3 27BMuse Spark 1.1Leader
AA Agentic Index0.125.8Muse Spark 1.1
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 measured1177Only Muse Spark 1.1 measured
Design Arena: agents building Android appsNot measured1184Only 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 measured1194Only Muse Spark 1.1 measured
Design Arena: PowerPoint slidesNot measured1156Only Muse Spark 1.1 measured
Design Arena: spreadsheetsNot measured974Only 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 Telecom10.5%Not measuredOnly Gemma 3 27B measured
APEX-AgentsNot measured31.8%Only Muse Spark 1.1 measured
Vending-Bench 2Not measured$6,520Only Muse Spark 1.1 measured
Neither model has a result on the other 22 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index07
Reasoning benchmarks for Gemma 3 27B and Muse Spark 1.1
BenchmarkGemma 3 27BMuse 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)42.8%89.8%Muse Spark 1.1
Humanity's Last Exam (Artificial Analysis run)4.4%46.2%Muse Spark 1.1
GPQA Diamond (Epoch AI run)47.7%Not measuredOnly Gemma 3 27B measured
Chess puzzlesNot measured34.0%Only Muse Spark 1.1 measured
LMArena Text: hard prompts13401485Muse Spark 1.1
LMArena Text: expert13041478Muse Spark 1.1
LMArena Text: hard prompts in English13531480Muse Spark 1.1
LMArena Vision: diagrams11561305Muse Spark 1.1
LMArena Vision: homework11601287Muse Spark 1.1
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 27B and Muse Spark 1.1
BenchmarkGemma 3 27BMuse Spark 1.1Leader
AA Math Index20.7Not measuredOnly Gemma 3 27B measured
AIME 2025 (Artificial Analysis run)20.7%Not measuredOnly Gemma 3 27B measured
OTIS Mock AIME22.5%Not measuredOnly Gemma 3 27B measured
ProofBenchNot measured39.0%Only Muse Spark 1.1 measured
MATH level 574.0%Not measuredOnly Gemma 3 27B measured
LMArena Text: math13121482Muse Spark 1.1
LMArena Text: mathematical work13271487Muse Spark 1.1
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Gemma 3 27B and Muse Spark 1.1
BenchmarkGemma 3 27BMuse 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)66.9%Not measuredOnly Gemma 3 27B measured
SimpleQA VerifiedNot measured57.8%Only Muse Spark 1.1 measured
GeoBench52.0%Not measuredOnly Gemma 3 27B measured
LMArena Text: science13831484Muse Spark 1.1
LMArena Text: medicine and healthcare13911479Muse Spark 1.1
LMArena Text: legal and government13751481Muse Spark 1.1
LMArena Text: business and finance13601470Muse Spark 1.1
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Gemma 3 27B and Muse Spark 1.1
BenchmarkGemma 3 27BMuse Spark 1.1Leader
Design Arena: websitesNot measured1270Only Muse Spark 1.1 measured
Design Arena: UI componentsNot measured1290Only Muse Spark 1.1 measured
Design Arena: game devNot measured1269Only Muse Spark 1.1 measured
Design Arena: data vizNot measured1268Only Muse Spark 1.1 measured
Design Arena: 3DNot measured1260Only 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 measured1270Only 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 index026
General benchmarks for Gemma 3 27B and Muse Spark 1.1
BenchmarkGemma 3 27BMuse 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
IFBench31.8%Not measuredOnly Gemma 3 27B measured
Long context reasoning (AA-LCR)7.3%77.7%Muse Spark 1.1
DTBench52.5%94.4%Muse Spark 1.1
LMCA12.3%49.9%Muse Spark 1.1
Fiction.LiveBench33.3%Not measuredOnly Gemma 3 27B measured
Creative writing (Lech Mazur)79.9%Not measuredOnly Gemma 3 27B measured
Surface Evolver BenchNot measured52.5%Only Muse Spark 1.1 measured
LMArena Text13581478Muse Spark 1.1
LMArena Text: instruction following13211457Muse Spark 1.1
LMArena Text: creative writing13451435Muse Spark 1.1
LMArena Vision11651293Muse Spark 1.1
LMArena Text: English13771478Muse Spark 1.1
LMArena Text: non-English13341471Muse Spark 1.1
LMArena Text: Chinese13461515Muse Spark 1.1
LMArena Text: German13621469Muse Spark 1.1
LMArena Text: Japanese12871450Muse Spark 1.1
LMArena Text: Korean13081459Muse Spark 1.1
LMArena Text: French13681492Muse Spark 1.1
LMArena Text: Spanish13491464Muse Spark 1.1
LMArena Text: Russian13491482Muse Spark 1.1
LMArena Text: Polish13451499Muse Spark 1.1
LMArena Text: multi-turn13451484Muse Spark 1.1
LMArena Text: longer queries13331462Muse Spark 1.1
LMArena Text: writing and language13471448Muse Spark 1.1
LMArena Text: entertainment and media13201438Muse Spark 1.1
LMArena Vision: English11881292Muse Spark 1.1
LMArena Vision: Chinese11641348Muse Spark 1.1
LMArena Vision: reading text11561301Muse Spark 1.1
LMArena Vision: humor11661288Muse Spark 1.1
LMArena Vision: captioning1151Not measuredOnly Gemma 3 27B measured
LMArena Vision: recognizing things1196Not measuredOnly Gemma 3 27B measured
LMArena Vision: creative writing11771253Muse Spark 1.1
LMArena DocumentNot measured1465Only Muse Spark 1.1 measured
Neither model has a result on the other 9 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemma 3 27B and Muse Spark 1.1
BenchmarkGemma 3 27BMuse 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

Gemma 3 27B$0.0003Fits in one request
Muse Spark 1.1$0.0034Fits in one request

Gemma 3 27B costs less

Repository review

50K input + 3K output tokens

Gemma 3 27B$0.0050Fits in one request
Muse Spark 1.1$0.075Fits in one request

Gemma 3 27B costs less

Agent loop

200K input + 10K output tokens

Gemma 3 27B$0.019Exceeds the context window
Muse Spark 1.1$0.292Fits in one request

Gemma 3 27B 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 27B and Muse Spark 1.1
SpecificationGoogle Gemma 3 27BMeta Muse Spark 1.1
MakerGoogleMeta
WeightsOpen weightsNo public weights listed
ReleasedMarch 12, 2025July 16, 2026
Context window131K1.05M
Input $/Mtok$0.08$1.25
Output $/Mtok$0.35$4.25
Coding index4.948.9
Independent measurements behind it11
Cost per solved taskNot computable$0.43
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 3 27B better than Muse Spark 1.1 for coding?

Pick Muse Spark 1.1 for coding: it scores 48.9 on the Vibe Coding Index against 4.9 for Gemma 3 27B. Pick Gemma 3 27B when output tokens cost 12.1x less.

Which is cheaper, Gemma 3 27B or Muse Spark 1.1?

Gemma 3 27B costs $0.08 per million input tokens and $0.35 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, Gemma 3 27B or Muse Spark 1.1?

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

How many benchmarks is the Gemma 3 27B vs Muse Spark 1.1 comparison based on?

46 benchmarks have a result for both models as of October 21, 2026. Gemma 3 27B's coding index rests on 1 independent benchmark and Muse Spark 1.1's on 1. Where only one model has a result, the page says so instead of naming a winner.

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