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Gemini 3.7 Flash vs Muse Spark 1.3

Gemini 3.7 Flash leads Muse Spark 1.3 on coding, 58.0 to 57.4 on the Vibe Coding Index, at about the same output price ($3.75 vs $4.25 per million). Updated October 22, 2026; 91 benchmarks have a result for both.

Replace Gemini 3.7 Flash Replace Muse Spark 1.3
Gemini 3.7 FlashGoogle
Coding
58.0
Overall
65.7
Output $/M
$3.75
39
Muse Spark 1.3Meta
Coding
57.4
Overall
68.6
Output $/M
$4.25
50
vs boards won of 91 shared, 2 tied

Gemini 3.7 Flash or Muse Spark 1.3: which to pick

Gemini 3.7 Flash and Muse Spark 1.3 are level for coding, 58.0 against 57.4 on the Vibe Coding Index, so price and context decide.

Pick Muse Spark 1.3 for work measured by LiveBench coding or LMArena WebDev, where it leads. Pick Gemini 3.7 Flash for output tokens 1.1x cheaper ($3.75 vs $4.25 per million) and work measured by Terminal-Bench 4 (Vals AI) or Code migration (Vals AI), where it leads.

Model AGemini 3.7 FlashGoogle58.0/1006 independent benchmarks$1.78 per solved taskModel BMuse Spark 1.3Meta57.4/1004 independent benchmarksNo cost per solved task
Shared results
91
Gemini 3.7 Flash only
24
Muse Spark 1.3 only
5
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 3.7 Flash 58.0 from 6 benchmarks, Muse Spark 1.3 57.4 from 4 benchmarks.
Widest category
Agentic work, 7.9 points apart on average over 14 shared benchmarks.
Widest single gap
Chess puzzles: Gemini 3.7 Flash 66.0% against Muse Spark 1.3 37.0%, 29.0 points apart on a 0 to 100 scale.
Output price
Gemini 3.7 Flash $3.75 against Muse Spark 1.3 $4.25 per million output tokens, 1.1x 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 3.7 FlashBarsMuse Spark 1.3Ties
Coding513
Intelligence11
Agentic work86
Reasoning46
Math241 tie
Knowledge22
Web design09
General1791 tie
All shared boards39502 ties
CodingLike-for-likeSix of these boards feed the Vibe Coding Index513
Coding benchmarks for Gemini 3.7 Flash and Muse Spark 1.3
BenchmarkGemini 3.7 FlashMuse Spark 1.3Leader
LiveBench coding80.5%90.2%Muse Spark 1.3
LMArena WebDev15911659Muse Spark 1.3
AA Coding Index71.575.8Muse Spark 1.3
LiveCodeBench (Vals AI)88.7%Not measuredOnly Gemini 3.7 Flash measured
SWE-bench Verified (Vals AI)80.8%Not measuredOnly Gemini 3.7 Flash measured
Terminal-Bench 4 (Vals AI)12.1%10.6%Gemini 3.7 Flash
Vibe Code Bench (Vals AI)70.4%82.9%Muse Spark 1.3
Code migration (Vals AI)34.8%27.6%Gemini 3.7 Flash
ProgramBench (Vals AI)0.0%0.5%Muse Spark 1.3
IOI (Vals AI)67.8%43.9%Gemini 3.7 Flash
Terminal-Bench 2.1 (Vals AI)77.5%72.3%Gemini 3.7 Flash
SkillsBench (Vals AI)65.9%Not measuredOnly Gemini 3.7 Flash measured
CyberBench (Vals AI)43.8%69.4%Muse Spark 1.3
SciCode59.8%59.7%Gemini 3.7 Flash
FrontierCode43.6%Not measuredOnly Gemini 3.7 Flash measured
FrontierSWE20.3%25.8%Muse Spark 1.3
ALE-Bench904.31688.3Muse Spark 1.3
LMArena Text: coding14991510Muse Spark 1.3
LMArena Text: software and IT14981511Muse Spark 1.3
LMArena WebDev: React15871672Muse Spark 1.3
LMArena WebDev: HTML15931653Muse Spark 1.3
LMArena WebDev: from an image15991640Muse Spark 1.3
SciCode13.8%Not measuredOnly Gemini 3.7 Flash measured
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
Intelligence benchmarks for Gemini 3.7 Flash and Muse Spark 1.3
BenchmarkGemini 3.7 FlashMuse Spark 1.3Leader
AA Intelligence Index39.648.1Muse Spark 1.3
Epoch Capabilities Index158.0157.2Gemini 3.7 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index86
Agentic work benchmarks for Gemini 3.7 Flash and Muse Spark 1.3
BenchmarkGemini 3.7 FlashMuse Spark 1.3Leader
AA Agentic IndexNot measured55.5Only Muse Spark 1.3 measured
Design Arena: agents building web apps12231297Muse Spark 1.3
Design Arena: agents building full-stack apps12081295Muse Spark 1.3
Design Arena: agents building mobile apps12301217Gemini 3.7 Flash
Design Arena: agents building Android apps1242Not measuredOnly Gemini 3.7 Flash measured
Design Arena: agents building Godot games12641241Gemini 3.7 Flash
Design Arena: agents building games1235Not measuredOnly Gemini 3.7 Flash measured
Design Arena: PowerPoint slidesNot measured1217Only Muse Spark 1.3 measured
Design Arena: spreadsheets10941075Gemini 3.7 Flash
LiveBench research76.5%68.6%Gemini 3.7 Flash
LiveBench browser56.0%80.0%Muse Spark 1.3
LiveBench long agentic28.3%40.4%Muse Spark 1.3
SREBench (Vals AI)4.6%Not measuredOnly Gemini 3.7 Flash measured
Finance Agent (Vals AI)59.0%58.9%Gemini 3.7 Flash
Tax Agent Bench (Vals AI)22.8%36.0%Muse Spark 1.3
Legal Research Bench (Vals AI)34.6%40.9%Muse Spark 1.3
Excel Modeling Benchmark (Vals AI)71.3%62.7%Gemini 3.7 Flash
Terminal-Bench-Science (Vals AI)7.1%4.3%Gemini 3.7 Flash
APEX-Agents67.8%58.6%Gemini 3.7 Flash
Remote Labor Index5.0%Not measuredOnly Gemini 3.7 Flash measured
Neither model has a result on the other 22 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index46
Reasoning benchmarks for Gemini 3.7 Flash and Muse Spark 1.3
BenchmarkGemini 3.7 FlashMuse Spark 1.3Leader
GPQA Diamond93.9%Not measuredOnly Gemini 3.7 Flash measured
LiveBench reasoning87.8%89.7%Muse Spark 1.3
MMMU Pro (Vals AI)89.0%Not measuredOnly Gemini 3.7 Flash measured
GPQA Diamond (Artificial Analysis run)94.5%94.1%Gemini 3.7 Flash
Humanity's Last Exam (Artificial Analysis run)47.9%48.7%Muse Spark 1.3
GPQA Diamond (Epoch AI run)94.8%Not measuredOnly Gemini 3.7 Flash measured
ARC-AGI95.5%Not measuredOnly Gemini 3.7 Flash measured
ARC-AGI-284.6%Not measuredOnly Gemini 3.7 Flash measured
Chess puzzles66.0%37.0%Gemini 3.7 Flash
Mystery game puzzles37.0%25.0%Gemini 3.7 Flash
LMArena Text: hard prompts14951503Muse Spark 1.3
LMArena Text: expert15121519Muse Spark 1.3
LMArena Text: hard prompts in English14871500Muse Spark 1.3
LMArena Vision: diagrams13291330Muse Spark 1.3
LMArena Vision: homework13201296Gemini 3.7 Flash
Humanity's Last Exam (Scale run)Not measured25.4%Only Muse Spark 1.3 measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index24
Math benchmarks for Gemini 3.7 Flash and Muse Spark 1.3
BenchmarkGemini 3.7 FlashMuse Spark 1.3Leader
OTIS Mock AIME97.2%99.2%Muse Spark 1.3
FrontierMath, tiers 1 to 371.6%74.4%Muse Spark 1.3
FrontierMath, tier 436.6%46.3%Muse Spark 1.3
ProofBench58.0%58.0%Tie
LMArena Text: math15111497Gemini 3.7 Flash
LMArena Text: mathematical work15021491Gemini 3.7 Flash
MathArena25.9%43.0%Muse Spark 1.3
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index22
Knowledge benchmarks for Gemini 3.7 Flash and Muse Spark 1.3
BenchmarkGemini 3.7 FlashMuse Spark 1.3Leader
MMLU Pro90.1%Not measuredOnly Gemini 3.7 Flash measured
LegalBench (Vals AI)87.3%Not measuredOnly Gemini 3.7 Flash measured
TaxEval (Vals AI)74.7%Not measuredOnly Gemini 3.7 Flash measured
MortgageTax (Vals AI)66.7%Not measuredOnly Gemini 3.7 Flash measured
MedCode (Vals AI)53.4%Not measuredOnly Gemini 3.7 Flash measured
SimpleQA Verified69.2%Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: science15111507Gemini 3.7 Flash
LMArena Text: medicine and healthcare14941493Gemini 3.7 Flash
LMArena Text: legal and government14961499Muse Spark 1.3
LMArena Text: business and finance14791490Muse Spark 1.3
FACTS Benchmark Suite71.2%Not measuredOnly Gemini 3.7 Flash measured
PRBench FinanceNot measured59.5%Only Muse Spark 1.3 measured
PRBench LegalNot measured61.6%Only Muse Spark 1.3 measured
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index09
Web design benchmarks for Gemini 3.7 Flash and Muse Spark 1.3
BenchmarkGemini 3.7 FlashMuse Spark 1.3Leader
Design Arena: websites13031356Muse Spark 1.3
Design Arena: UI components12951350Muse Spark 1.3
Design Arena: game dev13171328Muse Spark 1.3
Design Arena: data viz13151344Muse Spark 1.3
Design Arena: 3D13061358Muse Spark 1.3
Design Arena: all code categories13071352Muse Spark 1.3
Design Arena: SVG12841301Muse Spark 1.3
Design Arena: ASCII art12781283Muse Spark 1.3
LiveBench design73.2%74.8%Muse Spark 1.3
GeneralLike-for-likePublic boards, shown as published, kept out of the index179
General benchmarks for Gemini 3.7 Flash and Muse Spark 1.3
BenchmarkGemini 3.7 FlashMuse Spark 1.3Leader
LiveBench data analysis68.0%79.6%Muse Spark 1.3
SAGE (Vals AI)49.2%Not measuredOnly Gemini 3.7 Flash measured
MedScribe (Vals AI)83.9%Not measuredOnly Gemini 3.7 Flash measured
Long context reasoning (AA-LCR)83.0%83.0%Tie
DTBench96.8%96.5%Gemini 3.7 Flash
LMCA50.4%53.9%Muse Spark 1.3
Furniture assembly26.7%Not measuredOnly Gemini 3.7 Flash measured
LMArena Text14891490Muse Spark 1.3
LMArena Text: instruction following14841479Gemini 3.7 Flash
LMArena Text: creative writing14881462Gemini 3.7 Flash
LMArena Vision13141308Gemini 3.7 Flash
LMArena Text: English14831495Muse Spark 1.3
LMArena Text: non-English14871481Gemini 3.7 Flash
LMArena Text: Chinese15521532Gemini 3.7 Flash
LMArena Text: German15061513Muse Spark 1.3
LMArena Text: Japanese15111470Gemini 3.7 Flash
LMArena Text: Korean14811490Muse Spark 1.3
LMArena Text: French15001511Muse Spark 1.3
LMArena Text: Spanish14951496Muse Spark 1.3
LMArena Text: Russian15151491Gemini 3.7 Flash
LMArena Text: Polish15031490Gemini 3.7 Flash
LMArena Text: multi-turn14851487Muse Spark 1.3
LMArena Text: longer queries14921488Gemini 3.7 Flash
LMArena Text: writing and language14911470Gemini 3.7 Flash
LMArena Text: entertainment and media14771457Gemini 3.7 Flash
LMArena Vision: English13091298Gemini 3.7 Flash
LMArena Vision: Chinese13941384Gemini 3.7 Flash
LMArena Vision: reading text13221319Gemini 3.7 Flash
LMArena Vision: humor12991293Gemini 3.7 Flash
LMArena Vision: creative writing13121296Gemini 3.7 Flash
Neither model has a result on the other 18 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 3.7 Flash and Muse Spark 1.3
BenchmarkGemini 3.7 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 3.7 Flash$0.0026Fits in one request
Muse Spark 1.3$0.0034Fits in one request

Gemini 3.7 Flash costs less

Repository review

50K input + 3K output tokens

Gemini 3.7 Flash$0.049Fits in one request
Muse Spark 1.3$0.075Fits in one request

Gemini 3.7 Flash costs less

Agent loop

200K input + 10K output tokens

Gemini 3.7 Flash$0.188Fits in one request
Muse Spark 1.3$0.292Fits in one request

Gemini 3.7 Flash 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 3.7 Flash and Muse Spark 1.3
SpecificationGoogle Gemini 3.7 FlashMeta Muse Spark 1.3
MakerGoogleMeta
WeightsNo public weights listedNo public weights listed
ReleasedAugust 13, 2026September 2, 2026
Context window1.05M1.05M
Input $/Mtok$0.75$1.25
Output $/Mtok$3.75$4.25
Coding index58.057.4
Independent measurements behind it64
Cost per solved task$1.78Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.7 Flash better than Muse Spark 1.3 for coding?

Gemini 3.7 Flash and Muse Spark 1.3 are level for coding, 58.0 against 57.4 on the Vibe Coding Index, so price and context decide. Pick Muse Spark 1.3 for work measured by LiveBench coding or LMArena WebDev, where it leads. Pick Gemini 3.7 Flash for output tokens 1.1x cheaper ($3.75 vs $4.25 per million) and work measured by Terminal-Bench 4 (Vals AI) or Code migration (Vals AI), where it leads.

Which is cheaper, Gemini 3.7 Flash or Muse Spark 1.3?

Gemini 3.7 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; Muse Spark 1.3 costs $1.25 and $4.25. Cost per solved task is known for Gemini 3.7 Flash only.

Which has the bigger context window, Gemini 3.7 Flash or Muse Spark 1.3?

Neither: both take 1.05M tokens.

How many benchmarks is the Gemini 3.7 Flash vs Muse Spark 1.3 comparison based on?

91 benchmarks have a result for both models as of October 22, 2026. Gemini 3.7 Flash's coding index rests on 6 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-3-7-flash-vs-meta-muse-spark-1-3" title="Gemini 3.7 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-3-7-flash-vs-meta-muse-spark-1-3">LLMBenchmark.ai, Gemini 3.7 Flash vs Muse Spark 1.3</a></p>