Enter opens the highlighted result. Esc closes.

Gemma 4 26B A4B vs Muse Spark 1.1

Muse Spark 1.1 leads Gemma 4 26B A4B on the Artificial Analysis Intelligence Index, 33.7 to 16.7, and Gemma 4 26B A4B costs 7.1x less per output token ($0.60 vs $4.25 per million). Updated October 22, 2026; 45 benchmarks have a result for both.

Gemma 4 26B A4BGoogle
Coding
No data
Overall
54.7
Output $/M
$0.60
2
Muse Spark 1.1Meta
Coding
70.3
Overall
67.0
Output $/M
$4.25
43
vs boards won of 45 shared

Gemma 4 26B A4B or Muse Spark 1.1: which to pick

Only Muse Spark 1.1 has a coding score, 70.3 on the Vibe Coding Index; Gemma 4 26B A4B has none, so the two cannot be ranked on coding.

Pick Gemma 4 26B A4B for output tokens 7.1x cheaper ($0.60 vs $4.25 per million) and work measured by LMArena Vision: homework or LMArena Vision: creative writing, where it leads.

Shared results
45
Gemma 4 26B A4B only
10
Muse Spark 1.1 only
59
Like-for-like categories
7 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 4 26B A4B not benchmarked, Muse Spark 1.1 70.3 from 3 benchmarks.
Widest category
Agentic work, 22.9 points apart on average over 1 shared benchmark.
Widest single gap
AA Coding Index: Gemma 4 26B A4B 39.3 against Muse Spark 1.1 71.3, 32.0 points apart on a 0 to 100 scale.
Output price
Gemma 4 26B A4B $0.60 against Muse Spark 1.1 $4.25 per million output tokens, 7.1x apart.
Context window
Gemma 4 26B A4B takes 262K 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 4 26B A4BBarsMuse Spark 1.1Ties
Coding07
Intelligence02
Agentic work01
Reasoning16
Math02
Knowledge04
General121
All shared boards243
CodingLike-for-likeSix of these boards feed the Vibe Coding Index07
Coding benchmarks for Gemma 4 26B A4B and Muse Spark 1.1
BenchmarkGemma 4 26B A4BMuse Spark 1.1Leader
LMArena WebDev13601542Muse Spark 1.1
AA Coding Index39.371.3Muse 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
SciCode40.0%58.8%Muse Spark 1.1
Terminal-Bench Hard (Artificial Analysis run)25.0%Not measuredOnly Gemma 4 26B A4B measured
WeirdML35.2%Not measuredOnly Gemma 4 26B A4B measured
ALE-Bench927.2Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: coding14461498Muse Spark 1.1
LMArena Text: software and IT14541498Muse Spark 1.1
LMArena WebDev: React13511532Muse Spark 1.1
LMArena WebDev: HTML13621540Muse Spark 1.1
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 23 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemma 4 26B A4B and Muse Spark 1.1
BenchmarkGemma 4 26B A4BMuse Spark 1.1Leader
AA Intelligence Index16.733.7Muse Spark 1.1
Epoch Capabilities Index141.9154.1Muse Spark 1.1
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Gemma 4 26B A4B and Muse Spark 1.1
BenchmarkGemma 4 26B A4BMuse Spark 1.1Leader
AA Agentic Index2.925.8Muse 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 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 Telecom43.6%Not measuredOnly Gemma 4 26B A4B 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 index16
Reasoning benchmarks for Gemma 4 26B A4B and Muse Spark 1.1
BenchmarkGemma 4 26B A4BMuse 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)79.2%89.8%Muse Spark 1.1
Humanity's Last Exam (Artificial Analysis run)19.3%46.2%Muse Spark 1.1
GPQA Diamond (Epoch AI run)73.2%Not measuredOnly Gemma 4 26B A4B measured
Chess puzzlesNot measured34.0%Only Muse Spark 1.1 measured
LMArena Text: hard prompts14381485Muse Spark 1.1
LMArena Text: expert14471478Muse Spark 1.1
LMArena Text: hard prompts in English14481480Muse Spark 1.1
LMArena Vision: diagrams12641305Muse Spark 1.1
LMArena Vision: homework12931287Gemma 4 26B A4B
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Gemma 4 26B A4B and Muse Spark 1.1
BenchmarkGemma 4 26B A4BMuse Spark 1.1Leader
OTIS Mock AIME82.2%Not measuredOnly Gemma 4 26B A4B measured
ProofBenchNot measured39.0%Only Muse Spark 1.1 measured
LMArena Text: math14701482Muse Spark 1.1
LMArena Text: mathematical work14751487Muse Spark 1.1
MathArenaNot measured42.5%Only Muse Spark 1.1 measured
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Gemma 4 26B A4B and Muse Spark 1.1
BenchmarkGemma 4 26B A4BMuse 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
SimpleQA VerifiedNot measured57.8%Only Muse Spark 1.1 measured
LMArena Text: science14461484Muse Spark 1.1
LMArena Text: medicine and healthcare14281479Muse Spark 1.1
LMArena Text: legal and government14571481Muse Spark 1.1
LMArena Text: business and finance14291470Muse Spark 1.1
FACTS Benchmark Suite42.7%Not measuredOnly Gemma 4 26B A4B 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 Gemma 4 26B A4B and Muse Spark 1.1
BenchmarkGemma 4 26B A4BMuse 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 index121
General benchmarks for Gemma 4 26B A4B and Muse Spark 1.1
BenchmarkGemma 4 26B A4BMuse 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
IFBench72.4%Not measuredOnly Gemma 4 26B A4B measured
Long context reasoning (AA-LCR)65.7%77.7%Muse Spark 1.1
DTBench74.9%94.4%Muse Spark 1.1
LMCA29.7%49.9%Muse Spark 1.1
Surface Evolver BenchNot measured52.5%Only Muse Spark 1.1 measured
LMArena Text14341478Muse Spark 1.1
LMArena Text: instruction following14201457Muse Spark 1.1
LMArena Text: creative writing14001435Muse Spark 1.1
LMArena Vision12601293Muse Spark 1.1
LMArena Text: English14441478Muse Spark 1.1
LMArena Text: non-English14211471Muse Spark 1.1
LMArena Text: Chinese14951515Muse Spark 1.1
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: French14601492Muse Spark 1.1
LMArena Text: Spanish14151464Muse Spark 1.1
LMArena Text: Russian14341482Muse Spark 1.1
LMArena Text: PolishNot measured1499Only Muse Spark 1.1 measured
LMArena Text: multi-turn14411484Muse Spark 1.1
LMArena Text: longer queries14271462Muse Spark 1.1
LMArena Text: writing and language14051448Muse Spark 1.1
LMArena Text: entertainment and media14031438Muse Spark 1.1
LMArena Vision: English12561292Muse Spark 1.1
LMArena Vision: Chinese13121348Muse Spark 1.1
LMArena Vision: reading text12681301Muse Spark 1.1
LMArena Vision: humor12721288Muse Spark 1.1
LMArena Vision: captioning1297Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: recognizing things1191Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: creative writing12561253Gemma 4 26B A4B
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 11 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemma 4 26B A4B and Muse Spark 1.1
BenchmarkGemma 4 26B A4BMuse 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 4 26B A4B$0.0004Fits in one request
Muse Spark 1.1$0.0034Fits in one request

Gemma 4 26B A4B costs less

Repository review

50K input + 3K output tokens

Gemma 4 26B A4B$0.0093Fits in one request
Muse Spark 1.1$0.075Fits in one request

Gemma 4 26B A4B costs less

Agent loop

200K input + 10K output tokens

Gemma 4 26B A4B$0.036Fits in one request
Muse Spark 1.1$0.292Fits in one request

Gemma 4 26B A4B 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 4 26B A4B and Muse Spark 1.1
SpecificationGoogle Gemma 4 26B A4BMeta Muse Spark 1.1
MakerGoogleMeta
WeightsOpen weightsNo public weights listed
ReleasedApril 3, 2026July 16, 2026
Context window262K1.05M
Input $/Mtok$0.15$1.25
Output $/Mtok$0.60$4.25
Coding indexNot benchmarked70.3
Independent measurements behind it13
Cost per solved taskNot computable$0.43
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 4 26B A4B better than Muse Spark 1.1 for coding?

Only Muse Spark 1.1 has a coding score, 70.3 on the Vibe Coding Index; Gemma 4 26B A4B has none, so the two cannot be ranked on coding. Pick Gemma 4 26B A4B for output tokens 7.1x cheaper ($0.60 vs $4.25 per million) and work measured by LMArena Vision: homework or LMArena Vision: creative writing, where it leads.

Which is cheaper, Gemma 4 26B A4B or Muse Spark 1.1?

Gemma 4 26B A4B costs $0.15 per million input tokens and $0.60 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 4 26B A4B or Muse Spark 1.1?

Muse Spark 1.1, with 1.05M tokens against 262K.

How many benchmarks is the Gemma 4 26B A4B vs Muse Spark 1.1 comparison based on?

45 benchmarks have a result for both models as of October 22, 2026. Gemma 4 26B A4B's coding index rests on 1 independent benchmark and Muse Spark 1.1's on 3. Where only one model has a result, the page says so instead of naming a winner.

Compare next