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Gemini 3.7 Flash vs Muse Spark 1.1

Muse Spark 1.1 leads Gemini 3.7 Flash on coding, 70.3 to 58.0 on the Vibe Coding Index, at about the same output price ($4.25 vs $3.75 per million). Updated October 22, 2026; 86 benchmarks have a result for both.

Replace Gemini 3.7 Flash Replace Muse Spark 1.1
Gemini 3.7 FlashGoogle
Coding
58.0
Overall
65.7
Output $/M
$3.75
80
Muse Spark 1.1Meta
Coding
70.3
Overall
67.0
Output $/M
$4.25
5
vs boards won of 86 shared, 1 tied

Gemini 3.7 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 58.0 for Gemini 3.7 Flash, though on 3 benchmarks against 6.

Pick Gemini 3.7 Flash for output tokens 1.1x cheaper ($3.75 vs $4.25 per million) and work measured by LMArena WebDev or AA Coding Index, where it leads.

Model AGemini 3.7 FlashGoogle58.0/1006 independent benchmarks$1.78 per solved taskModel BMuse Spark 1.1Meta70.3/1003 independent benchmarks$0.43 per solved task
Shared results
86
Gemini 3.7 Flash only
28
Muse Spark 1.1 only
10
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 1.1 70.3 from 3 benchmarks.
Widest category
Agentic work, 9.3 points apart on average over 11 shared benchmarks.
Widest single gap
APEX-Agents: Gemini 3.7 Flash 67.8% against Muse Spark 1.1 31.8%, 36.0 points apart on a 0 to 100 scale.
Output price
Gemini 3.7 Flash $3.75 against Muse Spark 1.1 $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 1.1Ties
Coding1221 tie
Intelligence20
Agentic work101
Reasoning100
Math30
Knowledge81
Web design80
General271
All shared boards8051 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index122
Coding benchmarks for Gemini 3.7 Flash and Muse Spark 1.1
BenchmarkGemini 3.7 FlashMuse Spark 1.1Leader
LiveBench coding80.5%Not measuredOnly Gemini 3.7 Flash measured
LMArena WebDev15911542Gemini 3.7 Flash
AA Coding Index71.571.3Gemini 3.7 Flash
LiveCodeBench (Vals AI)88.7%85.9%Gemini 3.7 Flash
SWE-bench Verified (Vals AI)80.8%82.0%Muse Spark 1.1
Terminal-Bench 4 (Vals AI)12.1%Not measuredOnly Gemini 3.7 Flash measured
Vibe Code Bench (Vals AI)70.4%72.2%Muse Spark 1.1
Code migration (Vals AI)34.8%31.1%Gemini 3.7 Flash
ProgramBench (Vals AI)0.0%0.0%Tie
IOI (Vals AI)67.8%Not measuredOnly Gemini 3.7 Flash measured
Terminal-Bench 2.1 (Vals AI)77.5%69.3%Gemini 3.7 Flash
SkillsBench (Vals AI)65.9%59.2%Gemini 3.7 Flash
CyberBench (Vals AI)43.8%Not measuredOnly Gemini 3.7 Flash measured
SciCode59.8%58.8%Gemini 3.7 Flash
FrontierCode43.6%Not measuredOnly Gemini 3.7 Flash measured
FrontierSWE20.3%Not measuredOnly Gemini 3.7 Flash measured
ALE-Bench904.3Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: coding14991498Gemini 3.7 Flash
LMArena Text: software and IT14981498Gemini 3.7 Flash
LMArena WebDev: React15871532Gemini 3.7 Flash
LMArena WebDev: HTML15931540Gemini 3.7 Flash
LMArena WebDev: from an image15991540Gemini 3.7 Flash
SciCode13.8%Not measuredOnly Gemini 3.7 Flash measured
Neither model has a result on the other 16 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemini 3.7 Flash and Muse Spark 1.1
BenchmarkGemini 3.7 FlashMuse Spark 1.1Leader
AA Intelligence Index39.633.7Gemini 3.7 Flash
Epoch Capabilities Index158.0154.1Gemini 3.7 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index101
Agentic work benchmarks for Gemini 3.7 Flash and Muse Spark 1.1
BenchmarkGemini 3.7 FlashMuse Spark 1.1Leader
AA Agentic IndexNot measured25.8Only Muse Spark 1.1 measured
Design Arena: agents building web apps12231207Gemini 3.7 Flash
Design Arena: agents building full-stack apps12081199Gemini 3.7 Flash
Design Arena: agents building mobile apps12291175Gemini 3.7 Flash
Design Arena: agents building Android apps12431178Gemini 3.7 Flash
Design Arena: agents building Godot games12641103Gemini 3.7 Flash
Design Arena: agents building games12351183Gemini 3.7 Flash
Design Arena: HTML slidesNot measured1195Only Muse Spark 1.1 measured
Design Arena: PowerPoint slidesNot measured1155Only Muse Spark 1.1 measured
Design Arena: spreadsheets10581042Gemini 3.7 Flash
LiveBench research76.5%Not measuredOnly Gemini 3.7 Flash measured
LiveBench browser56.0%Not measuredOnly Gemini 3.7 Flash measured
LiveBench long agentic28.3%Not measuredOnly Gemini 3.7 Flash measured
SREBench (Vals AI)4.6%Not measuredOnly Gemini 3.7 Flash measured
Finance Agent (Vals AI)59.0%57.2%Gemini 3.7 Flash
Tax Agent Bench (Vals AI)22.8%Not measuredOnly Gemini 3.7 Flash measured
Legal Research Bench (Vals AI)34.6%38.0%Muse Spark 1.1
Excel Modeling Benchmark (Vals AI)71.3%56.4%Gemini 3.7 Flash
Terminal-Bench-Science (Vals AI)7.1%Not measuredOnly Gemini 3.7 Flash measured
Time Horizon Index (Vals AI)Not measured1.7%Only Muse Spark 1.1 measured
APEX-Agents67.8%31.8%Gemini 3.7 Flash
Remote Labor Index5.0%Not measuredOnly Gemini 3.7 Flash measured
Vending-Bench 2Not measured$6,520Only Muse Spark 1.1 measured
Neither model has a result on the other 18 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index100
Reasoning benchmarks for Gemini 3.7 Flash and Muse Spark 1.1
BenchmarkGemini 3.7 FlashMuse Spark 1.1Leader
GPQA Diamond93.9%91.2%Gemini 3.7 Flash
LiveBench reasoning87.8%Not measuredOnly Gemini 3.7 Flash measured
MMMU Pro (Vals AI)89.0%86.6%Gemini 3.7 Flash
GPQA Diamond (Artificial Analysis run)94.5%89.8%Gemini 3.7 Flash
Humanity's Last Exam (Artificial Analysis run)47.9%46.2%Gemini 3.7 Flash
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%34.0%Gemini 3.7 Flash
Mystery game puzzles37.0%Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: hard prompts14951485Gemini 3.7 Flash
LMArena Text: expert15121478Gemini 3.7 Flash
LMArena Text: hard prompts in English14871480Gemini 3.7 Flash
LMArena Vision: diagrams13291305Gemini 3.7 Flash
LMArena Vision: homework13201287Gemini 3.7 Flash
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Gemini 3.7 Flash and Muse Spark 1.1
BenchmarkGemini 3.7 FlashMuse Spark 1.1Leader
OTIS Mock AIME97.2%Not measuredOnly Gemini 3.7 Flash measured
FrontierMath, tiers 1 to 371.6%Not measuredOnly Gemini 3.7 Flash measured
FrontierMath, tier 436.6%Not measuredOnly Gemini 3.7 Flash measured
ProofBench58.0%39.0%Gemini 3.7 Flash
LMArena Text: math15111482Gemini 3.7 Flash
LMArena Text: mathematical work15021487Gemini 3.7 Flash
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index81
Knowledge benchmarks for Gemini 3.7 Flash and Muse Spark 1.1
BenchmarkGemini 3.7 FlashMuse Spark 1.1Leader
MMLU Pro90.1%88.7%Gemini 3.7 Flash
LegalBench (Vals AI)87.3%85.0%Gemini 3.7 Flash
CorpFin (Vals AI)Not measured71.3%Only Muse Spark 1.1 measured
TaxEval (Vals AI)74.7%79.7%Muse Spark 1.1
MortgageTax (Vals AI)66.7%66.1%Gemini 3.7 Flash
MedCode (Vals AI)53.4%Not measuredOnly Gemini 3.7 Flash measured
SimpleQA Verified69.2%57.8%Gemini 3.7 Flash
LMArena Text: science15111484Gemini 3.7 Flash
LMArena Text: medicine and healthcare14941479Gemini 3.7 Flash
LMArena Text: legal and government14961481Gemini 3.7 Flash
LMArena Text: business and finance14791470Gemini 3.7 Flash
FACTS Benchmark Suite71.2%Not measuredOnly Gemini 3.7 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 index80
Web design benchmarks for Gemini 3.7 Flash and Muse Spark 1.1
BenchmarkGemini 3.7 FlashMuse Spark 1.1Leader
Design Arena: websites13031270Gemini 3.7 Flash
Design Arena: UI components12961289Gemini 3.7 Flash
Design Arena: game dev13171269Gemini 3.7 Flash
Design Arena: data viz13151268Gemini 3.7 Flash
Design Arena: 3D13071260Gemini 3.7 Flash
Design Arena: all code categories13081276Gemini 3.7 Flash
Design Arena: SVG12831235Gemini 3.7 Flash
Design Arena: ASCII art12761271Gemini 3.7 Flash
LiveBench design73.2%Not measuredOnly Gemini 3.7 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index271
General benchmarks for Gemini 3.7 Flash and Muse Spark 1.1
BenchmarkGemini 3.7 FlashMuse Spark 1.1Leader
LiveBench data analysis68.0%Not measuredOnly Gemini 3.7 Flash measured
Public Benefits Bench (Vals AI)Not measured61.3%Only Muse Spark 1.1 measured
SAGE (Vals AI)49.2%45.6%Gemini 3.7 Flash
MedScribe (Vals AI)83.9%88.9%Muse Spark 1.1
Vals Multimodal IndexNot measured66.7%Only Muse Spark 1.1 measured
Long context reasoning (AA-LCR)83.0%77.7%Gemini 3.7 Flash
DTBench96.8%94.4%Gemini 3.7 Flash
LMCA50.4%49.9%Gemini 3.7 Flash
Surface Evolver BenchNot measured52.5%Only Muse Spark 1.1 measured
Furniture assembly26.7%Not measuredOnly Gemini 3.7 Flash measured
LMArena Text14891478Gemini 3.7 Flash
LMArena Text: instruction following14841457Gemini 3.7 Flash
LMArena Text: creative writing14881435Gemini 3.7 Flash
LMArena Vision13141293Gemini 3.7 Flash
LMArena Text: English14831478Gemini 3.7 Flash
LMArena Text: non-English14871471Gemini 3.7 Flash
LMArena Text: Chinese15521515Gemini 3.7 Flash
LMArena Text: German15061469Gemini 3.7 Flash
LMArena Text: Japanese15111450Gemini 3.7 Flash
LMArena Text: Korean14811459Gemini 3.7 Flash
LMArena Text: French15001492Gemini 3.7 Flash
LMArena Text: Spanish14951464Gemini 3.7 Flash
LMArena Text: Russian15151482Gemini 3.7 Flash
LMArena Text: Polish15031499Gemini 3.7 Flash
LMArena Text: multi-turn14851484Gemini 3.7 Flash
LMArena Text: longer queries14921462Gemini 3.7 Flash
LMArena Text: writing and language14911448Gemini 3.7 Flash
LMArena Text: entertainment and media14771438Gemini 3.7 Flash
LMArena Vision: English13091292Gemini 3.7 Flash
LMArena Vision: Chinese13941348Gemini 3.7 Flash
LMArena Vision: reading text13221301Gemini 3.7 Flash
LMArena Vision: humor12991288Gemini 3.7 Flash
LMArena Vision: creative writing13121253Gemini 3.7 Flash
LMArena DocumentNot measured1465Only Muse Spark 1.1 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 3.7 Flash and Muse Spark 1.1
BenchmarkGemini 3.7 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 3.7 Flash$0.0026Fits in one request
Muse Spark 1.1$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 1.1$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 1.1$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 1.1
SpecificationGoogle Gemini 3.7 FlashMeta Muse Spark 1.1
MakerGoogleMeta
WeightsNo public weights listedNo public weights listed
ReleasedAugust 13, 2026July 16, 2026
Context window1.05M1.05M
Input $/Mtok$0.75$1.25
Output $/Mtok$3.75$4.25
Coding index58.070.3
Independent measurements behind it63
Cost per solved task$1.78$0.43
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.7 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 58.0 for Gemini 3.7 Flash, though on 3 benchmarks against 6. Pick Gemini 3.7 Flash for output tokens 1.1x cheaper ($3.75 vs $4.25 per million) and work measured by LMArena WebDev or AA Coding Index, where it leads.

Which is cheaper, Gemini 3.7 Flash or Muse Spark 1.1?

Gemini 3.7 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; Muse Spark 1.1 costs $1.25 and $4.25. Per solved SWE-bench Verified task, Gemini 3.7 Flash costs $1.78 and Muse Spark 1.1 $0.43.

Which has the bigger context window, Gemini 3.7 Flash or Muse Spark 1.1?

Neither: both take 1.05M tokens.

How many benchmarks is the Gemini 3.7 Flash vs Muse Spark 1.1 comparison based on?

86 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 1.1'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-3-7-flash-vs-meta-muse-spark-1-1" title="Gemini 3.7 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-3-7-flash-vs-meta-muse-spark-1-1">LLMBenchmark.ai, Gemini 3.7 Flash vs Muse Spark 1.1</a></p>