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Gemini 4 Argon vs Muse Spark 1.1

Gemini 4 Argon leads Muse Spark 1.1 on coding, 81.0 to 70.3 on the Vibe Coding Index, and Muse Spark 1.1 costs 2.4x less per output token ($4.25 vs $10.00 per million). Updated October 22, 2026; 57 benchmarks have a result for both.

Replace Gemini 4 Argon Replace Muse Spark 1.1
Gemini 4 ArgonGoogle
Coding
81.0
Overall
84.0
Output $/M
$10.00
55
Muse Spark 1.1Meta
Coding
70.3
Overall
67.0
Output $/M
$4.25
2
vs boards won of 57 shared

Gemini 4 Argon or Muse Spark 1.1: which to pick

Pick Gemini 4 Argon for coding: it scores 81.0 on the Vibe Coding Index against 70.3 for Muse Spark 1.1.

Pick Muse Spark 1.1 for output tokens 2.4x cheaper ($4.25 vs $10.00 per million) and work measured by Terminal-Bench 2.1 (Vals AI) or MedScribe (Vals AI), where it leads.

Model AGemini 4 ArgonGoogle81.0/1005 independent benchmarksNo cost per solved taskModel BMuse Spark 1.1Meta70.3/1003 independent benchmarks$0.43 per solved task
Shared results
57
Gemini 4 Argon only
37
Muse Spark 1.1 only
39
Like-for-like categories
8 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
Gemini 4 Argon 81.0 from 5 benchmarks, Muse Spark 1.1 70.3 from 3 benchmarks.
Widest category
Agentic work, 29.2 points apart on average over 7 shared benchmarks.
Widest single gap
ProofBench: Gemini 4 Argon 99.0% against Muse Spark 1.1 39.0%, 60.0 points apart on a 0 to 100 scale.
Output price
Gemini 4 Argon $10.00 against Muse Spark 1.1 $4.25 per million output tokens, 2.4x apart.
Context window
Both take 1.05M tokens.

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
CategoryGemini 4 ArgonBarsMuse Spark 1.1Ties
Coding91
Intelligence20
Agentic work70
Reasoning50
Math30
Knowledge60
Web design60
General171
All shared boards552
CodingLike-for-likeSix of these boards feed the Vibe Coding Index91
Coding benchmarks for Gemini 4 Argon and Muse Spark 1.1
BenchmarkGemini 4 ArgonMuse Spark 1.1Leader
LiveBench coding89.7%Not measuredOnly Gemini 4 Argon measured
LMArena WebDev16781542Gemini 4 Argon
AA Coding IndexNot measured71.3Only Muse Spark 1.1 measured
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
Terminal-Bench 4 (Vals AI)57.6%Not measuredOnly Gemini 4 Argon measured
Vibe Code Bench (Vals AI)91.9%72.2%Gemini 4 Argon
Code migration (Vals AI)68.2%31.1%Gemini 4 Argon
ProgramBench (Vals AI)2.5%0.0%Gemini 4 Argon
IOI (Vals AI)100.0%Not measuredOnly Gemini 4 Argon measured
Terminal-Bench 2.1 (Vals AI)57.7%69.3%Muse Spark 1.1
SWE-bench Multimodal (Vals AI)56.0%Not measuredOnly Gemini 4 Argon measured
Vibe Code Bench 1-100 (Vals AI)21.2%Not measuredOnly Gemini 4 Argon measured
SkillsBench (Vals AI)Not measured59.2%Only Muse Spark 1.1 measured
CyberBench (Vals AI)77.9%Not measuredOnly Gemini 4 Argon measured
SciCode61.8%58.8%Gemini 4 Argon
FrontierCode47.5%Not measuredOnly Gemini 4 Argon measured
FrontierSWE55.0%Not measuredOnly Gemini 4 Argon measured
MirrorCode58.9%Not measuredOnly Gemini 4 Argon measured
ALE-Bench2100.1Not measuredOnly Gemini 4 Argon measured
LMArena Text: coding15461498Gemini 4 Argon
LMArena Text: software and IT15561498Gemini 4 Argon
LMArena WebDev: React16921532Gemini 4 Argon
LMArena WebDev: HTML16431540Gemini 4 Argon
LMArena WebDev: from an imageNot measured1540Only Muse Spark 1.1 measured
SciCode12.3%Not measuredOnly Gemini 4 Argon measured
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemini 4 Argon and Muse Spark 1.1
BenchmarkGemini 4 ArgonMuse Spark 1.1Leader
AA Intelligence Index52.633.7Gemini 4 Argon
Epoch Capabilities Index166.4154.1Gemini 4 Argon
Agentic workLike-for-likePublic boards, shown as published, kept out of the index70
Agentic work benchmarks for Gemini 4 Argon and Muse Spark 1.1
BenchmarkGemini 4 ArgonMuse Spark 1.1Leader
AA Agentic IndexNot measured25.8Only Muse Spark 1.1 measured
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 measured1195Only Muse Spark 1.1 measured
Design Arena: PowerPoint slidesNot measured1155Only Muse Spark 1.1 measured
Design Arena: spreadsheets11571042Gemini 4 Argon
LiveBench research83.1%Not measuredOnly Gemini 4 Argon measured
LiveBench browser92.0%Not measuredOnly Gemini 4 Argon measured
LiveBench long agentic69.9%Not measuredOnly Gemini 4 Argon measured
SREBench (Vals AI)44.3%Not measuredOnly Gemini 4 Argon measured
Finance Agent (Vals AI)65.4%57.2%Gemini 4 Argon
Tax Agent Bench (Vals AI)44.6%Not measuredOnly Gemini 4 Argon measured
Legal Research Bench (Vals AI)54.8%38.0%Gemini 4 Argon
Harvey's Legal Agent Benchmark (Vals AI)27.1%Not measuredOnly Gemini 4 Argon measured
Excel Modeling Benchmark (Vals AI)75.2%56.4%Gemini 4 Argon
BioMysteryBench (Vals AI)76.3%Not measuredOnly Gemini 4 Argon measured
Terminal-Bench-Science (Vals AI)44.3%Not measuredOnly Gemini 4 Argon measured
Vals Science Index55.4%Not measuredOnly Gemini 4 Argon measured
Time Horizon Index (Vals AI)52.5%1.7%Gemini 4 Argon
CUA-bench (Vals AI)4.8%Not measuredOnly Gemini 4 Argon measured
Robo-bench (Vals AI)0.8%Not measuredOnly Gemini 4 Argon measured
APEX-Agents82.4%31.8%Gemini 4 Argon
Vending-Bench 2$13,718$6,520Gemini 4 Argon
Neither model has a result on the other 14 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for Gemini 4 Argon and Muse Spark 1.1
BenchmarkGemini 4 ArgonMuse Spark 1.1Leader
GPQA DiamondNot measured91.2%Only Muse Spark 1.1 measured
LiveBench reasoning95.1%Not measuredOnly Gemini 4 Argon measured
MysteryMechanism (Vals AI)45.5%Not measuredOnly Gemini 4 Argon measured
MMMU Pro (Vals AI)Not measured86.6%Only Muse Spark 1.1 measured
GPQA Diamond (Artificial Analysis run)Not measured89.8%Only Muse Spark 1.1 measured
Humanity's Last Exam (Artificial Analysis run)57.1%46.2%Gemini 4 Argon
GPQA Diamond (Epoch AI run)96.4%Not measuredOnly Gemini 4 Argon measured
ARC-AGI98.5%Not measuredOnly Gemini 4 Argon measured
ARC-AGI-291.3%Not measuredOnly Gemini 4 Argon measured
Chess puzzles59.0%34.0%Gemini 4 Argon
Mystery game puzzles64.0%Not measuredOnly Gemini 4 Argon measured
EBR-bench64.8%Not measuredOnly Gemini 4 Argon measured
LMArena Text: hard prompts15461485Gemini 4 Argon
LMArena Text: expert15501478Gemini 4 Argon
LMArena Text: hard prompts in English15481480Gemini 4 Argon
LMArena Vision: diagramsNot measured1305Only Muse Spark 1.1 measured
LMArena Vision: homeworkNot measured1287Only Muse Spark 1.1 measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Gemini 4 Argon and Muse Spark 1.1
BenchmarkGemini 4 ArgonMuse Spark 1.1Leader
OTIS Mock AIME100.0%Not measuredOnly Gemini 4 Argon measured
FrontierMath, tiers 1 to 386.0%Not measuredOnly Gemini 4 Argon measured
FrontierMath, tier 478.0%Not measuredOnly Gemini 4 Argon measured
ProofBench99.0%39.0%Gemini 4 Argon
LMArena Text: math15361482Gemini 4 Argon
LMArena Text: mathematical work15571487Gemini 4 Argon
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index60
Knowledge benchmarks for Gemini 4 Argon and Muse Spark 1.1
BenchmarkGemini 4 ArgonMuse Spark 1.1Leader
MMLU ProNot measured88.7%Only Muse Spark 1.1 measured
LegalBench (Vals AI)88.3%85.0%Gemini 4 Argon
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
MedCode (Vals AI)58.8%Not measuredOnly Gemini 4 Argon measured
SimpleQA Verified76.0%57.8%Gemini 4 Argon
LMArena Text: science15481484Gemini 4 Argon
LMArena Text: medicine and healthcare15551479Gemini 4 Argon
LMArena Text: legal and government15481481Gemini 4 Argon
LMArena Text: business and finance15251470Gemini 4 Argon
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for Gemini 4 Argon and Muse Spark 1.1
BenchmarkGemini 4 ArgonMuse Spark 1.1Leader
Design Arena: websites13151270Gemini 4 Argon
Design Arena: UI components13331289Gemini 4 Argon
Design Arena: game dev13771269Gemini 4 Argon
Design Arena: data viz13321268Gemini 4 Argon
Design Arena: 3D13881260Gemini 4 Argon
Design Arena: all code categories13291276Gemini 4 Argon
Design Arena: SVGNot measured1235Only Muse Spark 1.1 measured
Design Arena: ASCII artNot measured1271Only Muse Spark 1.1 measured
LiveBench design73.7%Not measuredOnly Gemini 4 Argon measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index171
General benchmarks for Gemini 4 Argon and Muse Spark 1.1
BenchmarkGemini 4 ArgonMuse Spark 1.1Leader
Vals Index69.2%Not measuredOnly Gemini 4 Argon measured
LiveBench data analysis85.2%Not measuredOnly Gemini 4 Argon measured
Public Benefits Bench (Vals AI)69.8%61.3%Gemini 4 Argon
SAGE (Vals AI)53.6%45.6%Gemini 4 Argon
MedScribe (Vals AI)87.4%88.9%Muse Spark 1.1
Vals Multimodal IndexNot measured66.7%Only Muse Spark 1.1 measured
Long context reasoning (AA-LCR)79.7%77.7%Gemini 4 Argon
DTBench97.6%94.4%Gemini 4 Argon
LMCA63.7%49.9%Gemini 4 Argon
Surface Evolver BenchNot measured52.5%Only Muse Spark 1.1 measured
Furniture assembly72.5%Not measuredOnly Gemini 4 Argon measured
LMArena Text15321478Gemini 4 Argon
LMArena Text: instruction following15341457Gemini 4 Argon
LMArena Text: creative writing15271435Gemini 4 Argon
LMArena VisionNot measured1293Only Muse Spark 1.1 measured
LMArena Text: English15381478Gemini 4 Argon
LMArena Text: non-English15221471Gemini 4 Argon
LMArena Text: Chinese16111515Gemini 4 Argon
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: FrenchNot measured1492Only Muse Spark 1.1 measured
LMArena Text: Spanish15031464Gemini 4 Argon
LMArena Text: Russian15341482Gemini 4 Argon
LMArena Text: PolishNot measured1499Only Muse Spark 1.1 measured
LMArena Text: multi-turn15561484Gemini 4 Argon
LMArena Text: longer queries15471462Gemini 4 Argon
LMArena Text: writing and language15291448Gemini 4 Argon
LMArena Text: entertainment and media15271438Gemini 4 Argon
LMArena Vision: EnglishNot measured1292Only Muse Spark 1.1 measured
LMArena Vision: ChineseNot measured1348Only Muse Spark 1.1 measured
LMArena Vision: reading textNot measured1301Only Muse Spark 1.1 measured
LMArena Vision: humorNot measured1288Only Muse Spark 1.1 measured
LMArena Vision: creative writingNot measured1253Only Muse Spark 1.1 measured
LMArena DocumentNot measured1465Only 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 Gemini 4 Argon and Muse Spark 1.1
BenchmarkGemini 4 ArgonMuse 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

Gemini 4 Argon$0.0070Fits in one request
Muse Spark 1.1$0.0034Fits in one request

Muse Spark 1.1 costs less

Repository review

50K input + 3K output tokens

Gemini 4 Argon$0.130Fits in one request
Muse Spark 1.1$0.075Fits in one request

Muse Spark 1.1 costs less

Agent loop

200K input + 10K output tokens

Gemini 4 Argon$0.500Fits in one request
Muse Spark 1.1$0.292Fits in one request

Muse Spark 1.1 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 Gemini 4 Argon and Muse Spark 1.1
SpecificationGoogle Gemini 4 ArgonMeta Muse Spark 1.1
MakerGoogleMeta
WeightsNo public weights listedNo public weights listed
ReleasedOctober 13, 2026July 16, 2026
Context window1.05M1.05M
Input $/Mtok$2.00$1.25
Output $/Mtok$10.00$4.25
Coding index81.070.3
Independent measurements behind it53
Cost per solved taskNot computable$0.43
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 4 Argon better than Muse Spark 1.1 for coding?

Pick Gemini 4 Argon for coding: it scores 81.0 on the Vibe Coding Index against 70.3 for Muse Spark 1.1. Pick Muse Spark 1.1 for output tokens 2.4x cheaper ($4.25 vs $10.00 per million) and work measured by Terminal-Bench 2.1 (Vals AI) or MedScribe (Vals AI), where it leads.

Which is cheaper, Gemini 4 Argon or Muse Spark 1.1?

Gemini 4 Argon costs $2.00 per million input tokens and $10.00 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, Gemini 4 Argon or Muse Spark 1.1?

Neither: both take 1.05M tokens.

How many benchmarks is the Gemini 4 Argon vs Muse Spark 1.1 comparison based on?

57 benchmarks have a result for both models as of October 22, 2026. Gemini 4 Argon's coding index rests on 5 independent benchmarks and Muse Spark 1.1's on 3. Where only one model has a result, the page says so instead of naming a winner.

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<iframe src="https://llmbenchmark.ai/embed/compare/gemini-4-argon-vs-meta-muse-spark-1-1" title="Gemini 4 Argon vs Muse Spark 1.1, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gemini-4-argon-vs-meta-muse-spark-1-1">LLMBenchmark.ai, Gemini 4 Argon vs Muse Spark 1.1</a></p>