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Gemini 4 Argon vs Muse Spark 1.2

Updated October 21, 2026. 69 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Gemini 4 Argon Replace Muse Spark 1.2
Gemini 4 ArgonGoogle
Coding
80.5
Overall
52.6
Output $/M
$10.00
66
Muse Spark 1.2Meta
Coding
65.1
Overall
39.6
Output $/M
$4.25
2
vs boards won of 69 shared, 1 tied

Decision reading

Pick Gemini 4 Argon for coding: it scores 80.5 on the Vibe Coding Index against 65.1 for Muse Spark 1.2.

Pick Muse Spark 1.2 when output tokens cost 2.4x less, or when what matters is Terminal-Bench 2.1 (Vals AI) or MedScribe (Vals AI), where it leads.

Model AGemini 4 ArgonGoogle80.5/1002 independent benchmarksNo cost per solved taskModel BMuse Spark 1.2Meta65.1/1002 independent benchmarks$0.64 per solved task
Shared results
69
Gemini 4 Argon only
23
Muse Spark 1.2 only
28
Like-for-like categories
8 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
Gemini 4 Argon 80.5 from 2 benchmarks, Muse Spark 1.2 65.1 from 2 benchmarks.
Widest category
Math, 25.9 points apart on average over 3 shared benchmarks.
Widest single gap
IOI (Vals AI): Gemini 4 Argon 100.0% against Muse Spark 1.2 21.8%, 78.2 points apart on a 0 to 100 scale.
Output price
Gemini 4 Argon $10.00 against Muse Spark 1.2 $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 1.2Ties
Coding141
Intelligence20
Agentic work100
Reasoning60
Math30
Knowledge70
Web design601 tie
General181
All shared boards6621 tie
CodingLike-for-likeFour of these boards feed the Vibe Coding Index141
Coding benchmarks for Gemini 4 Argon and Muse Spark 1.2
BenchmarkGemini 4 ArgonMuse Spark 1.2Leader
LiveBench coding89.7%78.2%Gemini 4 Argon
LMArena WebDev16781534Gemini 4 Argon
AA Coding IndexNot measured72.2Only Muse Spark 1.2 measured
SWE-bench Verified (Vals AI)Not measured86.6%Only Muse Spark 1.2 measured
Terminal-Bench 4 (Vals AI)57.6%6.1%Gemini 4 Argon
Vibe Code Bench (Vals AI)91.9%79.1%Gemini 4 Argon
Code migration (Vals AI)68.2%29.9%Gemini 4 Argon
ProgramBench (Vals AI)2.5%0.5%Gemini 4 Argon
IOI (Vals AI)100.0%21.8%Gemini 4 Argon
Terminal-Bench 2.1 (Vals AI)57.7%69.7%Muse Spark 1.2
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 measured53.0%Only Muse Spark 1.2 measured
CyberBench (Vals AI)77.9%69.5%Gemini 4 Argon
SciCode61.8%57.4%Gemini 4 Argon
FrontierCode47.5%Not measuredOnly Gemini 4 Argon measured
FrontierSWE55.0%12.0%Gemini 4 Argon
WeirdMLNot measured60.3%Only Muse Spark 1.2 measured
ALE-Bench2100.1Not measuredOnly Gemini 4 Argon measured
LMArena Text: coding15461505Gemini 4 Argon
LMArena Text: software and IT15561505Gemini 4 Argon
LMArena WebDev: React16921526Gemini 4 Argon
LMArena WebDev: HTML16431543Gemini 4 Argon
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemini 4 Argon and Muse Spark 1.2
BenchmarkGemini 4 ArgonMuse Spark 1.2Leader
AA Intelligence Index52.639.6Gemini 4 Argon
Epoch Capabilities Index166.4155.1Gemini 4 Argon
Agentic workLike-for-likePublic boards, shown as published, kept out of the index100
Agentic work benchmarks for Gemini 4 Argon and Muse Spark 1.2
BenchmarkGemini 4 ArgonMuse Spark 1.2Leader
AA Agentic IndexNot measured43.2Only Muse Spark 1.2 measured
Design Arena: agents building web appsNot measured1222Only Muse Spark 1.2 measured
Design Arena: agents building full-stack appsNot measured1210Only Muse Spark 1.2 measured
Design Arena: agents building mobile appsNot measured1182Only Muse Spark 1.2 measured
Design Arena: agents building Android appsNot measured1228Only Muse Spark 1.2 measured
Design Arena: agents building gamesNot measured1179Only Muse Spark 1.2 measured
Design Arena: HTML slidesNot measured1135Only Muse Spark 1.2 measured
Design Arena: PowerPoint slidesNot measured1198Only Muse Spark 1.2 measured
Design Arena: spreadsheets1151Not measuredOnly Gemini 4 Argon measured
LiveBench research83.1%67.7%Gemini 4 Argon
LiveBench browser92.0%36.0%Gemini 4 Argon
LiveBench long agentic69.9%21.3%Gemini 4 Argon
SREBench (Vals AI)44.3%0.0%Gemini 4 Argon
Finance Agent (Vals AI)65.4%60.6%Gemini 4 Argon
Tax Agent Bench (Vals AI)44.6%32.8%Gemini 4 Argon
Legal Research Bench (Vals AI)54.8%43.8%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%57.0%Gemini 4 Argon
BioMysteryBench (Vals AI)76.3%64.8%Gemini 4 Argon
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%Not measuredOnly Gemini 4 Argon measured
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%45.4%Gemini 4 Argon
Vending-Bench 2$13,718Not measuredOnly Gemini 4 Argon measured
Neither model has a result on the other 13 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for Gemini 4 Argon and Muse Spark 1.2
BenchmarkGemini 4 ArgonMuse Spark 1.2Leader
LiveBench reasoning95.1%90.0%Gemini 4 Argon
MysteryMechanism (Vals AI)45.5%Not measuredOnly Gemini 4 Argon measured
MMMU Pro (Vals AI)Not measured86.1%Only Muse Spark 1.2 measured
GPQA Diamond (Artificial Analysis run)Not measured90.4%Only Muse Spark 1.2 measured
Humanity's Last Exam (Artificial Analysis run)57.1%45.5%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
SimpleBenchNot measured74.5%Only Muse Spark 1.2 measured
Chess puzzles59.0%27.0%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 prompts15461489Gemini 4 Argon
LMArena Text: expert15501475Gemini 4 Argon
LMArena Text: hard prompts in English15481487Gemini 4 Argon
LMArena Vision: diagramsNot measured1317Only Muse Spark 1.2 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 1.2
BenchmarkGemini 4 ArgonMuse Spark 1.2Leader
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%43.0%Gemini 4 Argon
LMArena Text: math15361484Gemini 4 Argon
LMArena Text: mathematical work15571480Gemini 4 Argon
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index70
Knowledge benchmarks for Gemini 4 Argon and Muse Spark 1.2
BenchmarkGemini 4 ArgonMuse Spark 1.2Leader
MMLU ProNot measured88.3%Only Muse Spark 1.2 measured
LegalBench (Vals AI)88.3%85.3%Gemini 4 Argon
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)58.8%49.4%Gemini 4 Argon
SimpleQA Verified76.0%60.3%Gemini 4 Argon
LMArena Text: science15481500Gemini 4 Argon
LMArena Text: medicine and healthcare15551496Gemini 4 Argon
LMArena Text: legal and government15481517Gemini 4 Argon
LMArena Text: business and finance15251484Gemini 4 Argon
Neither model has a result on the other 6 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 1.2
BenchmarkGemini 4 ArgonMuse Spark 1.2Leader
Design Arena: websites13151313Gemini 4 Argon
Design Arena: UI components13331300Gemini 4 Argon
Design Arena: game dev13771302Gemini 4 Argon
Design Arena: data viz13341334Tie
Design Arena: 3D13891301Gemini 4 Argon
Design Arena: all code categories13281313Gemini 4 Argon
Design Arena: SVGNot measured1285Only Muse Spark 1.2 measured
Design Arena: ASCII artNot measured1284Only Muse Spark 1.2 measured
LiveBench design73.7%67.1%Gemini 4 Argon
GeneralLike-for-likePublic boards, shown as published, kept out of the index181
General benchmarks for Gemini 4 Argon and Muse Spark 1.2
BenchmarkGemini 4 ArgonMuse Spark 1.2Leader
Vals Index69.2%Not measuredOnly Gemini 4 Argon measured
LiveBench data analysis85.2%76.5%Gemini 4 Argon
Public Benefits Bench (Vals AI)69.8%68.5%Gemini 4 Argon
SAGE (Vals AI)53.6%47.7%Gemini 4 Argon
MedScribe (Vals AI)87.4%90.1%Muse Spark 1.2
Vals Multimodal IndexNot measured69.8%Only Muse Spark 1.2 measured
Long context reasoning (AA-LCR)79.7%79.0%Gemini 4 Argon
DTBench97.6%94.7%Gemini 4 Argon
LMCA63.7%48.4%Gemini 4 Argon
Furniture assembly72.5%Not measuredOnly Gemini 4 Argon measured
LMArena Text15321482Gemini 4 Argon
LMArena Text: instruction following15341462Gemini 4 Argon
LMArena Text: creative writing15271436Gemini 4 Argon
LMArena VisionNot measured1304Only Muse Spark 1.2 measured
LMArena Text: English15381483Gemini 4 Argon
LMArena Text: non-English15221476Gemini 4 Argon
LMArena Text: Chinese16111509Gemini 4 Argon
LMArena Text: KoreanNot measured1462Only Muse Spark 1.2 measured
LMArena Text: FrenchNot measured1495Only Muse Spark 1.2 measured
LMArena Text: Spanish15031484Gemini 4 Argon
LMArena Text: Russian15341483Gemini 4 Argon
LMArena Text: multi-turn15561502Gemini 4 Argon
LMArena Text: longer queries15471473Gemini 4 Argon
LMArena Text: writing and language15291453Gemini 4 Argon
LMArena Text: entertainment and media15271443Gemini 4 Argon
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 Gemini 4 Argon and Muse Spark 1.2
BenchmarkGemini 4 ArgonMuse 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

Gemini 4 Argon$0.0070Fits in one request
Muse Spark 1.2$0.0034Fits in one request

Muse Spark 1.2 costs less

Repository review

50K input + 3K output tokens

Gemini 4 Argon$0.130Fits in one request
Muse Spark 1.2$0.075Fits in one request

Muse Spark 1.2 costs less

Agent loop

200K input + 10K output tokens

Gemini 4 Argon$0.500Fits in one request
Muse Spark 1.2$0.292Fits in one request

Muse Spark 1.2 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 1.2
SpecificationGoogle Gemini 4 ArgonMeta Muse Spark 1.2
MakerGoogleMeta
WeightsNo public weights listedNo public weights listed
ReleasedOctober 13, 2026August 5, 2026
Context window1.05M1.05M
Input $/Mtok$2.00$1.25
Output $/Mtok$10.00$4.25
Coding index80.565.1
Independent measurements behind it22
Cost per solved taskNot computable$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 4 Argon better than Muse Spark 1.2 for coding?

Pick Gemini 4 Argon for coding: it scores 80.5 on the Vibe Coding Index against 65.1 for Muse Spark 1.2. Pick Muse Spark 1.2 when output tokens cost 2.4x less, or when what matters is Terminal-Bench 2.1 (Vals AI) or MedScribe (Vals AI), where it leads.

Which is cheaper, Gemini 4 Argon or Muse Spark 1.2?

Gemini 4 Argon costs $2.00 per million input tokens and $10.00 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, Gemini 4 Argon or Muse Spark 1.2?

Neither: both take 1.05M tokens.

How many benchmarks is the Gemini 4 Argon vs Muse Spark 1.2 comparison based on?

69 benchmarks have a result for both models as of October 21, 2026. Gemini 4 Argon's coding index rests on 2 independent benchmarks and Muse Spark 1.2's on 2. 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-1-2" title="Gemini 4 Argon vs Muse Spark 1.2, 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-1-2">LLMBenchmark.ai, Gemini 4 Argon vs Muse Spark 1.2</a></p>