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Gemini 3.5 Flash vs Muse Spark 1.3

Muse Spark 1.3 leads Gemini 3.5 Flash on coding, 57.4 to 39.8 on the Vibe Coding Index, and Muse Spark 1.3 costs 2.1x less per output token ($4.25 vs $9.00 per million). Updated October 22, 2026; 79 benchmarks have a result for both.

Replace Gemini 3.5 Flash Replace Muse Spark 1.3
Gemini 3.5 FlashGoogle
Coding
39.8
Overall
63.8
Output $/M
$9.00
17
Muse Spark 1.3Meta
Coding
57.4
Overall
68.6
Output $/M
$4.25
62
vs boards won of 79 shared

Gemini 3.5 Flash or Muse Spark 1.3: which to pick

Pick Muse Spark 1.3 for coding: it scores 57.4 on the Vibe Coding Index against 39.8 for Gemini 3.5 Flash.

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

Model AGemini 3.5 FlashGoogle39.8/1004 independent benchmarks$1.21 per solved taskModel BMuse Spark 1.3Meta57.4/1004 independent benchmarksNo cost per solved task
Shared results
79
Gemini 3.5 Flash only
33
Muse Spark 1.3 only
13
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 1.3 57.4 from 4 benchmarks.
Widest category
Coding, 11.5 points apart on average over 13 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Gemini 3.5 Flash 48.7% against Muse Spark 1.3 82.9%, 34.2 points apart on a 0 to 100 scale.
Output price
Gemini 3.5 Flash $9.00 against Muse Spark 1.3 $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 1.3Ties
Coding112
Intelligence02
Agentic work29
Reasoning36
Math24
Knowledge04
Web design08
General917
All shared boards1762
CodingLike-for-likeSix of these boards feed the Vibe Coding Index112
Coding benchmarks for Gemini 3.5 Flash and Muse Spark 1.3
BenchmarkGemini 3.5 FlashMuse Spark 1.3Leader
LiveBench codingNot measured90.2%Only Muse Spark 1.3 measured
LMArena WebDev14991659Muse Spark 1.3
AA Coding IndexNot measured75.8Only Muse Spark 1.3 measured
LiveCodeBench (Vals AI)87.6%Not measuredOnly Gemini 3.5 Flash measured
SWE-bench Verified (Vals AI)78.8%Not measuredOnly Gemini 3.5 Flash measured
Terminal-Bench 4 (Vals AI)6.1%10.6%Muse Spark 1.3
Vibe Code Bench (Vals AI)48.7%82.9%Muse Spark 1.3
Code migration (Vals AI)26.8%27.6%Muse Spark 1.3
ProgramBench (Vals AI)0.0%0.5%Muse Spark 1.3
IOI (Vals AI)Not measured43.9%Only Muse Spark 1.3 measured
Terminal-Bench 2.1 (Vals AI)74.2%72.3%Gemini 3.5 Flash
SkillsBench (Vals AI)52.7%Not measuredOnly Gemini 3.5 Flash measured
CyberBench (Vals AI)Not measured69.4%Only Muse Spark 1.3 measured
SciCode53.9%59.7%Muse Spark 1.3
Terminal-Bench Hard (Artificial Analysis run)46.2%Not measuredOnly Gemini 3.5 Flash measured
FrontierSWENot measured25.8%Only Muse Spark 1.3 measured
WeirdML62.6%Not measuredOnly Gemini 3.5 Flash measured
ALE-Bench911.01688.3Muse Spark 1.3
LMArena Text: coding14931510Muse Spark 1.3
LMArena Text: software and IT14941511Muse Spark 1.3
LMArena WebDev: React14951672Muse Spark 1.3
LMArena WebDev: HTML15221653Muse Spark 1.3
LMArena WebDev: from an image15041640Muse Spark 1.3
SciCode12.3%Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemini 3.5 Flash and Muse Spark 1.3
BenchmarkGemini 3.5 FlashMuse Spark 1.3Leader
AA Intelligence Index33.648.1Muse Spark 1.3
Epoch Capabilities Index154.9157.2Muse Spark 1.3
Agentic workLike-for-likePublic boards, shown as published, kept out of the index29
Agentic work benchmarks for Gemini 3.5 Flash and Muse Spark 1.3
BenchmarkGemini 3.5 FlashMuse Spark 1.3Leader
AA Agentic IndexNot measured55.5Only Muse Spark 1.3 measured
Design Arena: agents building web apps12021297Muse Spark 1.3
Design Arena: agents building full-stack apps11971295Muse Spark 1.3
Design Arena: agents building mobile apps11741218Muse Spark 1.3
Design Arena: agents building Android apps1185Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building Godot games10981241Muse Spark 1.3
Design Arena: agents building games1180Not measuredOnly Gemini 3.5 Flash measured
Design Arena: HTML slides1093Not measuredOnly Gemini 3.5 Flash measured
Design Arena: PowerPoint slides11541219Muse Spark 1.3
Design Arena: spreadsheetsNot measured1062Only Muse Spark 1.3 measured
LiveBench researchNot measured68.6%Only Muse Spark 1.3 measured
LiveBench browserNot measured80.0%Only Muse Spark 1.3 measured
LiveBench long agenticNot measured40.4%Only Muse Spark 1.3 measured
Finance Agent (Vals AI)57.9%58.9%Muse Spark 1.3
Tax Agent Bench (Vals AI)21.6%36.0%Muse Spark 1.3
Legal Research Bench (Vals AI)30.8%40.9%Muse Spark 1.3
Excel Modeling Benchmark (Vals AI)63.5%62.7%Gemini 3.5 Flash
Terminal-Bench-Science (Vals AI)5.7%4.3%Gemini 3.5 Flash
τ²-Bench Telecom95.6%Not measuredOnly Gemini 3.5 Flash measured
APEX-Agents27.5%58.6%Muse Spark 1.3
Vending-Bench 2$5,396Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 20 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index36
Reasoning benchmarks for Gemini 3.5 Flash and Muse Spark 1.3
BenchmarkGemini 3.5 FlashMuse Spark 1.3Leader
GPQA Diamond92.7%Not measuredOnly Gemini 3.5 Flash measured
LiveBench reasoningNot measured89.7%Only Muse Spark 1.3 measured
MMMU Pro (Vals AI)88.3%Not measuredOnly Gemini 3.5 Flash measured
GPQA Diamond (Artificial Analysis run)92.2%94.1%Muse Spark 1.3
Humanity's Last Exam (Artificial Analysis run)42.7%48.7%Muse Spark 1.3
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%37.0%Gemini 3.5 Flash
Mystery game puzzles32.0%25.0%Gemini 3.5 Flash
EBR-bench4.8%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: hard prompts14881503Muse Spark 1.3
LMArena Text: expert14951519Muse Spark 1.3
LMArena Text: hard prompts in English14831500Muse Spark 1.3
LMArena Vision: diagrams13231330Muse Spark 1.3
LMArena Vision: homework13301296Gemini 3.5 Flash
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index24
Math benchmarks for Gemini 3.5 Flash and Muse Spark 1.3
BenchmarkGemini 3.5 FlashMuse Spark 1.3Leader
OTIS Mock AIME95.6%99.2%Muse Spark 1.3
FrontierMath, tiers 1 to 362.8%74.4%Muse Spark 1.3
FrontierMath, tier 426.8%46.3%Muse Spark 1.3
ProofBench31.0%58.0%Muse Spark 1.3
LMArena Text: math15041497Gemini 3.5 Flash
LMArena Text: mathematical work14951491Gemini 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 index04
Knowledge benchmarks for Gemini 3.5 Flash and Muse Spark 1.3
BenchmarkGemini 3.5 FlashMuse Spark 1.3Leader
MMLU Pro89.5%Not measuredOnly Gemini 3.5 Flash measured
LegalBench (Vals AI)83.6%Not measuredOnly Gemini 3.5 Flash measured
CorpFin (Vals AI)64.7%Not measuredOnly Gemini 3.5 Flash measured
TaxEval (Vals AI)74.4%Not measuredOnly Gemini 3.5 Flash measured
MortgageTax (Vals AI)68.1%Not measuredOnly Gemini 3.5 Flash measured
MedCode (Vals AI)55.8%Not measuredOnly Gemini 3.5 Flash measured
SimpleQA Verified66.2%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: science14951507Muse Spark 1.3
LMArena Text: medicine and healthcare14831493Muse Spark 1.3
LMArena Text: legal and government14881499Muse Spark 1.3
LMArena Text: business and finance14671490Muse Spark 1.3
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 index08
Web design benchmarks for Gemini 3.5 Flash and Muse Spark 1.3
BenchmarkGemini 3.5 FlashMuse Spark 1.3Leader
Design Arena: websites12671356Muse Spark 1.3
Design Arena: UI components12691349Muse Spark 1.3
Design Arena: game dev12631328Muse Spark 1.3
Design Arena: data viz12361343Muse Spark 1.3
Design Arena: 3D12431358Muse Spark 1.3
Design Arena: all code categories12661352Muse Spark 1.3
Design Arena: SVG12531301Muse Spark 1.3
Design Arena: ASCII art12541278Muse Spark 1.3
LiveBench designNot measured74.8%Only Muse Spark 1.3 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index917
General benchmarks for Gemini 3.5 Flash and Muse Spark 1.3
BenchmarkGemini 3.5 FlashMuse Spark 1.3Leader
LiveBench data analysisNot measured79.6%Only Muse Spark 1.3 measured
Public Benefits Bench (Vals AI)59.5%Not measuredOnly Gemini 3.5 Flash measured
SAGE (Vals AI)49.9%Not measuredOnly Gemini 3.5 Flash measured
MedScribe (Vals AI)76.6%Not measuredOnly Gemini 3.5 Flash measured
Vals Multimodal Index62.9%Not measuredOnly Gemini 3.5 Flash measured
IFBench76.3%Not measuredOnly Gemini 3.5 Flash measured
Long context reasoning (AA-LCR)74.3%83.0%Muse Spark 1.3
DTBench94.7%96.5%Muse Spark 1.3
LMCA47.1%53.9%Muse Spark 1.3
Surface Evolver Bench58.1%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text14821490Muse Spark 1.3
LMArena Text: instruction following14671479Muse Spark 1.3
LMArena Text: creative writing14701462Gemini 3.5 Flash
LMArena Vision13081308Muse Spark 1.3
LMArena Text: English14811495Muse Spark 1.3
LMArena Text: non-English14751481Muse Spark 1.3
LMArena Text: Chinese15271532Muse Spark 1.3
LMArena Text: German14941513Muse Spark 1.3
LMArena Text: Japanese14861470Gemini 3.5 Flash
LMArena Text: Korean14481490Muse Spark 1.3
LMArena Text: French14901511Muse Spark 1.3
LMArena Text: Spanish14801496Muse Spark 1.3
LMArena Text: Russian14931491Gemini 3.5 Flash
LMArena Text: Polish15161490Gemini 3.5 Flash
LMArena Text: multi-turn14811487Muse Spark 1.3
LMArena Text: longer queries14831488Muse Spark 1.3
LMArena Text: writing and language14781470Gemini 3.5 Flash
LMArena Text: entertainment and media14591457Gemini 3.5 Flash
LMArena Vision: English13051298Gemini 3.5 Flash
LMArena Vision: Chinese13771384Muse Spark 1.3
LMArena Vision: reading text13171319Muse Spark 1.3
LMArena Vision: humor13211293Gemini 3.5 Flash
LMArena Vision: creative writing13011296Gemini 3.5 Flash
LMArena Document1463Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 12 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 1.3
BenchmarkGemini 3.5 FlashMuse Spark 1.3Leader
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 1.3$0.0034Fits in one request

Muse Spark 1.3 costs less

Repository review

50K input + 3K output tokens

Gemini 3.5 Flash$0.102Fits in one request
Muse Spark 1.3$0.075Fits in one request

Muse Spark 1.3 costs less

Agent loop

200K input + 10K output tokens

Gemini 3.5 Flash$0.390Fits in one request
Muse Spark 1.3$0.292Fits in one request

Muse Spark 1.3 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 1.3
SpecificationGoogle Gemini 3.5 FlashMeta Muse Spark 1.3
MakerGoogleMeta
WeightsNo public weights listedNo public weights listed
ReleasedMay 19, 2026September 2, 2026
Context window1.05M1.05M
Input $/Mtok$1.50$1.25
Output $/Mtok$9.00$4.25
Coding index39.857.4
Independent measurements behind it44
Cost per solved task$1.21Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.5 Flash better than Muse Spark 1.3 for coding?

Pick Muse Spark 1.3 for coding: it scores 57.4 on the Vibe Coding Index against 39.8 for Gemini 3.5 Flash. Pick Gemini 3.5 Flash for work measured by Terminal-Bench 2.1 (Vals AI) or Excel Modeling Benchmark (Vals AI), where it leads.

Which is cheaper, Gemini 3.5 Flash or Muse Spark 1.3?

Gemini 3.5 Flash costs $1.50 per million input tokens and $9.00 per million output tokens; Muse Spark 1.3 costs $1.25 and $4.25. Cost per solved task is known for Gemini 3.5 Flash only.

Which has the bigger context window, Gemini 3.5 Flash or Muse Spark 1.3?

Neither: both take 1.05M tokens.

How many benchmarks is the Gemini 3.5 Flash vs Muse Spark 1.3 comparison based on?

79 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 1.3's on 4. 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-1-3" title="Gemini 3.5 Flash vs Muse Spark 1.3, 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-1-3">LLMBenchmark.ai, Gemini 3.5 Flash vs Muse Spark 1.3</a></p>