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Gemini 3.5 Flash vs Muse Spark 1.1

Muse Spark 1.1 leads Gemini 3.5 Flash on coding, 70.3 to 39.8 on the Vibe Coding Index, and Muse Spark 1.1 costs 2.1x less per output token ($4.25 vs $9.00 per million). Updated October 22, 2026; 92 benchmarks have a result for both.

Gemini 3.5 FlashGoogle
Coding
39.8
Overall
63.8
Output $/M
$9.00
47
Muse Spark 1.1Meta
Coding
70.3
Overall
67.0
Output $/M
$4.25
44
vs boards won of 92 shared, 1 tied

Gemini 3.5 Flash or Muse Spark 1.1: which to pick

Pick Muse Spark 1.1 for coding: it scores 70.3 on the Vibe Coding Index against 39.8 for Gemini 3.5 Flash, though on 3 benchmarks against 4.

Pick Gemini 3.5 Flash for work measured by LiveCodeBench (Vals AI) or Terminal-Bench 2.1 (Vals AI), where it leads.

Shared results
92
Gemini 3.5 Flash only
20
Muse Spark 1.1 only
4
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 3.5 Flash 39.8 from 4 benchmarks, Muse Spark 1.1 70.3 from 3 benchmarks.
Widest category
Coding, 5.1 points apart on average over 14 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Gemini 3.5 Flash 48.7% against Muse Spark 1.1 72.2%, 23.5 points apart on a 0 to 100 scale.
Output price
Gemini 3.5 Flash $9.00 against Muse Spark 1.1 $4.25 per million output tokens, 2.1x 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 3.5 FlashBarsMuse Spark 1.1Ties
Coding2111 tie
Intelligence11
Agentic work310
Reasoning91
Math21
Knowledge64
Web design17
General239
All shared boards47441 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index211
Coding benchmarks for Gemini 3.5 Flash and Muse Spark 1.1
BenchmarkGemini 3.5 FlashMuse Spark 1.1Leader
LMArena WebDev14991542Muse Spark 1.1
AA Coding IndexNot measured71.3Only Muse Spark 1.1 measured
LiveCodeBench (Vals AI)87.6%85.9%Gemini 3.5 Flash
SWE-bench Verified (Vals AI)78.8%82.0%Muse Spark 1.1
Terminal-Bench 4 (Vals AI)6.1%Not measuredOnly Gemini 3.5 Flash measured
Vibe Code Bench (Vals AI)48.7%72.2%Muse Spark 1.1
Code migration (Vals AI)26.8%31.1%Muse Spark 1.1
ProgramBench (Vals AI)0.0%0.0%Tie
Terminal-Bench 2.1 (Vals AI)74.2%69.3%Gemini 3.5 Flash
SkillsBench (Vals AI)52.7%59.2%Muse Spark 1.1
SciCode53.9%58.8%Muse Spark 1.1
Terminal-Bench Hard (Artificial Analysis run)46.2%Not measuredOnly Gemini 3.5 Flash measured
WeirdML62.6%Not measuredOnly Gemini 3.5 Flash measured
ALE-Bench911.0Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: coding14931498Muse Spark 1.1
LMArena Text: software and IT14941498Muse Spark 1.1
LMArena WebDev: React14951532Muse Spark 1.1
LMArena WebDev: HTML15221540Muse Spark 1.1
LMArena WebDev: from an image15041540Muse Spark 1.1
SciCode12.3%Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
Intelligence benchmarks for Gemini 3.5 Flash and Muse Spark 1.1
BenchmarkGemini 3.5 FlashMuse Spark 1.1Leader
AA Intelligence Index33.633.7Muse Spark 1.1
Epoch Capabilities Index154.9154.1Gemini 3.5 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index310
Agentic work benchmarks for Gemini 3.5 Flash and Muse Spark 1.1
BenchmarkGemini 3.5 FlashMuse Spark 1.1Leader
AA Agentic IndexNot measured25.8Only Muse Spark 1.1 measured
Design Arena: agents building web apps12021207Muse Spark 1.1
Design Arena: agents building full-stack apps11971199Muse Spark 1.1
Design Arena: agents building mobile apps11741175Muse Spark 1.1
Design Arena: agents building Android apps11851178Gemini 3.5 Flash
Design Arena: agents building Godot games10981103Muse Spark 1.1
Design Arena: agents building games11801183Muse Spark 1.1
Design Arena: HTML slides10931195Muse Spark 1.1
Design Arena: PowerPoint slides11541155Muse Spark 1.1
Design Arena: spreadsheetsNot measured1042Only Muse Spark 1.1 measured
Finance Agent (Vals AI)57.9%57.2%Gemini 3.5 Flash
Tax Agent Bench (Vals AI)21.6%Not measuredOnly Gemini 3.5 Flash measured
Legal Research Bench (Vals AI)30.8%38.0%Muse Spark 1.1
Excel Modeling Benchmark (Vals AI)63.5%56.4%Gemini 3.5 Flash
Terminal-Bench-Science (Vals AI)5.7%Not measuredOnly Gemini 3.5 Flash measured
Time Horizon Index (Vals AI)Not measured1.7%Only Muse Spark 1.1 measured
τ²-Bench Telecom95.6%Not measuredOnly Gemini 3.5 Flash measured
APEX-Agents27.5%31.8%Muse Spark 1.1
Vending-Bench 2$5,396$6,520Muse Spark 1.1
Neither model has a result on the other 22 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index91
Reasoning benchmarks for Gemini 3.5 Flash and Muse Spark 1.1
BenchmarkGemini 3.5 FlashMuse Spark 1.1Leader
GPQA Diamond92.7%91.2%Gemini 3.5 Flash
MMMU Pro (Vals AI)88.3%86.6%Gemini 3.5 Flash
GPQA Diamond (Artificial Analysis run)92.2%89.8%Gemini 3.5 Flash
Humanity's Last Exam (Artificial Analysis run)42.7%46.2%Muse Spark 1.1
GPQA Diamond (Epoch AI run)92.8%Not measuredOnly Gemini 3.5 Flash measured
ARC-AGI92.5%Not measuredOnly Gemini 3.5 Flash measured
ARC-AGI-272.1%Not measuredOnly Gemini 3.5 Flash measured
SimpleBench76.7%Not measuredOnly Gemini 3.5 Flash measured
Chess puzzles45.0%34.0%Gemini 3.5 Flash
Mystery game puzzles32.0%Not measuredOnly Gemini 3.5 Flash measured
EBR-bench4.8%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: hard prompts14881485Gemini 3.5 Flash
LMArena Text: expert14951478Gemini 3.5 Flash
LMArena Text: hard prompts in English14831480Gemini 3.5 Flash
LMArena Vision: diagrams13231305Gemini 3.5 Flash
LMArena Vision: homework13301287Gemini 3.5 Flash
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index21
Math benchmarks for Gemini 3.5 Flash and Muse Spark 1.1
BenchmarkGemini 3.5 FlashMuse Spark 1.1Leader
OTIS Mock AIME95.6%Not measuredOnly Gemini 3.5 Flash measured
FrontierMath, tiers 1 to 362.8%Not measuredOnly Gemini 3.5 Flash measured
FrontierMath, tier 426.8%Not measuredOnly Gemini 3.5 Flash measured
ProofBench31.0%39.0%Muse Spark 1.1
LMArena Text: math15041482Gemini 3.5 Flash
LMArena Text: mathematical work14951487Gemini 3.5 Flash
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index64
Knowledge benchmarks for Gemini 3.5 Flash and Muse Spark 1.1
BenchmarkGemini 3.5 FlashMuse Spark 1.1Leader
MMLU Pro89.5%88.7%Gemini 3.5 Flash
LegalBench (Vals AI)83.6%85.0%Muse Spark 1.1
CorpFin (Vals AI)64.7%71.3%Muse Spark 1.1
TaxEval (Vals AI)74.4%79.7%Muse Spark 1.1
MortgageTax (Vals AI)68.1%66.1%Gemini 3.5 Flash
MedCode (Vals AI)55.8%Not measuredOnly Gemini 3.5 Flash measured
SimpleQA Verified66.2%57.8%Gemini 3.5 Flash
LMArena Text: science14951484Gemini 3.5 Flash
LMArena Text: medicine and healthcare14831479Gemini 3.5 Flash
LMArena Text: legal and government14881481Gemini 3.5 Flash
LMArena Text: business and finance14671470Muse Spark 1.1
FACTS Benchmark Suite63.1%Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index17
Web design benchmarks for Gemini 3.5 Flash and Muse Spark 1.1
BenchmarkGemini 3.5 FlashMuse Spark 1.1Leader
Design Arena: websites12671270Muse Spark 1.1
Design Arena: UI components12691289Muse Spark 1.1
Design Arena: game dev12631269Muse Spark 1.1
Design Arena: data viz12361268Muse Spark 1.1
Design Arena: 3D12431260Muse Spark 1.1
Design Arena: all code categories12661276Muse Spark 1.1
Design Arena: SVG12531235Gemini 3.5 Flash
Design Arena: ASCII art12541271Muse Spark 1.1
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index239
General benchmarks for Gemini 3.5 Flash and Muse Spark 1.1
BenchmarkGemini 3.5 FlashMuse Spark 1.1Leader
Public Benefits Bench (Vals AI)59.5%61.3%Muse Spark 1.1
SAGE (Vals AI)49.9%45.6%Gemini 3.5 Flash
MedScribe (Vals AI)76.6%88.9%Muse Spark 1.1
Vals Multimodal Index62.9%66.7%Muse Spark 1.1
IFBench76.3%Not measuredOnly Gemini 3.5 Flash measured
Long context reasoning (AA-LCR)74.3%77.7%Muse Spark 1.1
DTBench94.7%94.4%Gemini 3.5 Flash
LMCA47.1%49.9%Muse Spark 1.1
Surface Evolver Bench58.1%52.5%Gemini 3.5 Flash
LMArena Text14821478Gemini 3.5 Flash
LMArena Text: instruction following14671457Gemini 3.5 Flash
LMArena Text: creative writing14701435Gemini 3.5 Flash
LMArena Vision13081293Gemini 3.5 Flash
LMArena Text: English14811478Gemini 3.5 Flash
LMArena Text: non-English14751471Gemini 3.5 Flash
LMArena Text: Chinese15271515Gemini 3.5 Flash
LMArena Text: German14941469Gemini 3.5 Flash
LMArena Text: Japanese14861450Gemini 3.5 Flash
LMArena Text: Korean14481459Muse Spark 1.1
LMArena Text: French14901492Muse Spark 1.1
LMArena Text: Spanish14801464Gemini 3.5 Flash
LMArena Text: Russian14931482Gemini 3.5 Flash
LMArena Text: Polish15161499Gemini 3.5 Flash
LMArena Text: multi-turn14811484Muse Spark 1.1
LMArena Text: longer queries14831462Gemini 3.5 Flash
LMArena Text: writing and language14781448Gemini 3.5 Flash
LMArena Text: entertainment and media14591438Gemini 3.5 Flash
LMArena Vision: English13051292Gemini 3.5 Flash
LMArena Vision: Chinese13771348Gemini 3.5 Flash
LMArena Vision: reading text13171301Gemini 3.5 Flash
LMArena Vision: humor13211288Gemini 3.5 Flash
LMArena Vision: creative writing13011253Gemini 3.5 Flash
LMArena Document14631465Muse Spark 1.1
Neither model has a result on the other 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 3.5 Flash and Muse Spark 1.1
BenchmarkGemini 3.5 FlashMuse 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 3.5 Flash$0.0060Fits 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 3.5 Flash$0.102Fits 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 3.5 Flash$0.390Fits 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 3.5 Flash and Muse Spark 1.1
SpecificationGoogle Gemini 3.5 FlashMeta Muse Spark 1.1
MakerGoogleMeta
WeightsNo public weights listedNo public weights listed
ReleasedMay 19, 2026July 16, 2026
Context window1.05M1.05M
Input $/Mtok$1.50$1.25
Output $/Mtok$9.00$4.25
Coding index39.870.3
Independent measurements behind it43
Cost per solved task$1.21$0.43
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.5 Flash better than Muse Spark 1.1 for coding?

Pick Muse Spark 1.1 for coding: it scores 70.3 on the Vibe Coding Index against 39.8 for Gemini 3.5 Flash, though on 3 benchmarks against 4. Pick Gemini 3.5 Flash for work measured by LiveCodeBench (Vals AI) or Terminal-Bench 2.1 (Vals AI), where it leads.

Which is cheaper, Gemini 3.5 Flash or Muse Spark 1.1?

Gemini 3.5 Flash costs $1.50 per million input tokens and $9.00 per million output tokens; Muse Spark 1.1 costs $1.25 and $4.25. Per solved SWE-bench Verified task, Gemini 3.5 Flash costs $1.21 and Muse Spark 1.1 $0.43.

Which has the bigger context window, Gemini 3.5 Flash or Muse Spark 1.1?

Neither: both take 1.05M tokens.

How many benchmarks is the Gemini 3.5 Flash vs Muse Spark 1.1 comparison based on?

92 benchmarks have a result for both models as of October 22, 2026. Gemini 3.5 Flash's coding index rests on 4 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-3-5-flash-vs-meta-muse-spark-1-1" title="Gemini 3.5 Flash 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-3-5-flash-vs-meta-muse-spark-1-1">LLMBenchmark.ai, Gemini 3.5 Flash vs Muse Spark 1.1</a></p>