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Gemma 4 26B A4B vs Muse Spark 1.2

Muse Spark 1.2 leads Gemma 4 26B A4B on the Artificial Analysis Intelligence Index, 39.6 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; 42 benchmarks have a result for both.

Replace Gemma 4 26B A4B Replace Muse Spark 1.2
Gemma 4 26B A4BGoogle
Coding
No data
Overall
54.7
Output $/M
$0.60
0
Muse Spark 1.2Meta
Coding
55.7
Overall
60.4
Output $/M
$4.25
42
vs boards won of 42 shared

Gemma 4 26B A4B 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 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).

Model AGemma 4 26B A4BGoogleNot benchmarked1 independent benchmarkNo cost per solved taskModel BMuse Spark 1.2Meta55.7/1005 independent benchmarks$0.64 per solved task
Shared results
42
Gemma 4 26B A4B only
13
Muse Spark 1.2 only
55
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 1.2 55.7 from 5 benchmarks.
Widest category
Agentic work, 40.3 points apart on average over 1 shared benchmark.
Widest single gap
AA Agentic Index: Gemma 4 26B A4B 2.9 against Muse Spark 1.2 43.2, 40.3 points apart on a 0 to 100 scale.
Output price
Gemma 4 26B A4B $0.60 against Muse Spark 1.2 $4.25 per million output tokens, 7.1x apart.
Context window
Gemma 4 26B A4B takes 262K 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 4 26B A4BBarsMuse Spark 1.2Ties
Coding08
Intelligence02
Agentic work01
Reasoning06
Math02
Knowledge04
General019
All shared boards042
CodingLike-for-likeSix of these boards feed the Vibe Coding Index08
Coding benchmarks for Gemma 4 26B A4B and Muse Spark 1.2
BenchmarkGemma 4 26B A4BMuse Spark 1.2Leader
LiveBench codingNot measured78.2%Only Muse Spark 1.2 measured
LMArena WebDev13601534Muse Spark 1.2
AA Coding Index39.372.2Muse 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
SciCode40.0%57.4%Muse Spark 1.2
Terminal-Bench Hard (Artificial Analysis run)25.0%Not measuredOnly Gemma 4 26B A4B measured
FrontierSWENot measured12.0%Only Muse Spark 1.2 measured
WeirdML35.2%60.3%Muse Spark 1.2
ALE-Bench927.2Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: coding14461505Muse Spark 1.2
LMArena Text: software and IT14541505Muse Spark 1.2
LMArena WebDev: React13511526Muse Spark 1.2
LMArena WebDev: HTML13621543Muse Spark 1.2
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 4 26B A4B and Muse Spark 1.2
BenchmarkGemma 4 26B A4BMuse Spark 1.2Leader
AA Intelligence Index16.739.6Muse Spark 1.2
Epoch Capabilities Index141.9155.1Muse Spark 1.2
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Gemma 4 26B A4B and Muse Spark 1.2
BenchmarkGemma 4 26B A4BMuse Spark 1.2Leader
AA Agentic Index2.943.2Muse Spark 1.2
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 measured1223Only Muse Spark 1.2 measured
Design Arena: agents building gamesNot measured1178Only Muse Spark 1.2 measured
Design Arena: HTML slidesNot measured1085Only Muse Spark 1.2 measured
Design Arena: PowerPoint slidesNot measured1173Only 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 Telecom43.6%Not measuredOnly Gemma 4 26B A4B measured
APEX-AgentsNot measured45.4%Only Muse Spark 1.2 measured
Neither model has a result on the other 22 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for Gemma 4 26B A4B and Muse Spark 1.2
BenchmarkGemma 4 26B A4BMuse 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)79.2%90.4%Muse Spark 1.2
Humanity's Last Exam (Artificial Analysis run)19.3%45.5%Muse Spark 1.2
GPQA Diamond (Epoch AI run)73.2%Not measuredOnly Gemma 4 26B A4B measured
SimpleBenchNot measured74.5%Only Muse Spark 1.2 measured
Chess puzzlesNot measured27.0%Only Muse Spark 1.2 measured
LMArena Text: hard prompts14381489Muse Spark 1.2
LMArena Text: expert14471475Muse Spark 1.2
LMArena Text: hard prompts in English14481487Muse Spark 1.2
LMArena Vision: diagrams12641317Muse Spark 1.2
LMArena Vision: homework1293Not measuredOnly Gemma 4 26B A4B 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 4 26B A4B and Muse Spark 1.2
BenchmarkGemma 4 26B A4BMuse Spark 1.2Leader
OTIS Mock AIME82.2%Not measuredOnly Gemma 4 26B A4B measured
ProofBenchNot measured43.0%Only Muse Spark 1.2 measured
LMArena Text: math14701484Muse Spark 1.2
LMArena Text: mathematical work14751480Muse Spark 1.2
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 1.2
BenchmarkGemma 4 26B A4BMuse 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
SimpleQA VerifiedNot measured60.3%Only Muse Spark 1.2 measured
LMArena Text: science14461500Muse Spark 1.2
LMArena Text: medicine and healthcare14281496Muse Spark 1.2
LMArena Text: legal and government14571517Muse Spark 1.2
LMArena Text: business and finance14291484Muse Spark 1.2
FACTS Benchmark Suite42.7%Not measuredOnly Gemma 4 26B A4B measured
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 4 26B A4B and Muse Spark 1.2
BenchmarkGemma 4 26B A4BMuse Spark 1.2Leader
Design Arena: websitesNot measured1312Only Muse Spark 1.2 measured
Design Arena: UI componentsNot measured1299Only 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 measured1300Only Muse Spark 1.2 measured
Design Arena: all code categoriesNot measured1312Only Muse Spark 1.2 measured
Design Arena: SVGNot measured1283Only Muse Spark 1.2 measured
Design Arena: ASCII artNot measured1285Only 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 index019
General benchmarks for Gemma 4 26B A4B and Muse Spark 1.2
BenchmarkGemma 4 26B A4BMuse 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
IFBench72.4%Not measuredOnly Gemma 4 26B A4B measured
Long context reasoning (AA-LCR)65.7%79.0%Muse Spark 1.2
DTBench74.9%94.7%Muse Spark 1.2
LMCA29.7%48.4%Muse Spark 1.2
LMArena Text14341482Muse Spark 1.2
LMArena Text: instruction following14201462Muse Spark 1.2
LMArena Text: creative writing14001436Muse Spark 1.2
LMArena Vision12601304Muse Spark 1.2
LMArena Text: English14441483Muse Spark 1.2
LMArena Text: non-English14211476Muse Spark 1.2
LMArena Text: Chinese14951509Muse Spark 1.2
LMArena Text: KoreanNot measured1462Only Muse Spark 1.2 measured
LMArena Text: French14601495Muse Spark 1.2
LMArena Text: Spanish14151484Muse Spark 1.2
LMArena Text: Russian14341483Muse Spark 1.2
LMArena Text: multi-turn14411502Muse Spark 1.2
LMArena Text: longer queries14271473Muse Spark 1.2
LMArena Text: writing and language14051453Muse Spark 1.2
LMArena Text: entertainment and media14031443Muse Spark 1.2
LMArena Vision: English12561291Muse Spark 1.2
LMArena Vision: Chinese1312Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: reading text12681313Muse Spark 1.2
LMArena Vision: humor1272Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: captioning1297Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: recognizing things1191Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: creative writing1256Not measuredOnly Gemma 4 26B A4B measured
Neither model has a result on the other 15 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 1.2
BenchmarkGemma 4 26B A4BMuse 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 4 26B A4B$0.0004Fits in one request
Muse Spark 1.2$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 1.2$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 1.2$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 1.2
SpecificationGoogle Gemma 4 26B A4BMeta Muse Spark 1.2
MakerGoogleMeta
WeightsOpen weightsNo public weights listed
ReleasedApril 3, 2026August 5, 2026
Context window262K1.05M
Input $/Mtok$0.15$1.25
Output $/Mtok$0.60$4.25
Coding indexNot benchmarked55.7
Independent measurements behind it15
Cost per solved taskNot computable$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 4 26B A4B 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 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).

Which is cheaper, Gemma 4 26B A4B or Muse Spark 1.2?

Gemma 4 26B A4B costs $0.15 per million input tokens and $0.60 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 4 26B A4B or Muse Spark 1.2?

Muse Spark 1.2, with 1.05M tokens against 262K.

How many benchmarks is the Gemma 4 26B A4B vs Muse Spark 1.2 comparison based on?

42 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 1.2's on 5. Where only one model has a result, the page says so instead of naming a winner.

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