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Gemini 3.7 Flash vs Muse Spark 1.2

Updated October 21, 2026. 88 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Gemini 3.7 Flash Replace Muse Spark 1.2
Gemini 3.7 FlashGoogle
Coding
69.9
Overall
39.6
Output $/M
$3.75
61
Muse Spark 1.2Meta
Coding
65.1
Overall
39.6
Output $/M
$4.25
26
vs boards won of 88 shared, 1 tied

Decision reading

Pick Gemini 3.7 Flash for coding: it scores 69.9 on the Vibe Coding Index against 65.1 for Muse Spark 1.2.

Pick Muse Spark 1.2 when a solved task costs $0.64 against $1.78, or when what matters is AA Coding Index or SWE-bench Verified (Vals AI), where it leads.

Model AGemini 3.7 FlashGoogle69.9/1002 independent benchmarks$1.78 per solved taskModel BMuse Spark 1.2Meta65.1/1002 independent benchmarks$0.64 per solved task
Shared results
88
Gemini 3.7 Flash only
24
Muse Spark 1.2 only
9
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 3.7 Flash 69.9 from 2 benchmarks, Muse Spark 1.2 65.1 from 2 benchmarks.
Widest category
Coding, 9.0 points apart on average over 18 shared benchmarks.
Widest single gap
IOI (Vals AI): Gemini 3.7 Flash 67.8% against Muse Spark 1.2 21.8%, 46.0 points apart on a 0 to 100 scale.
Output price
Gemini 3.7 Flash $3.75 against Muse Spark 1.2 $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 1.2Ties
Coding117
Intelligence101 tie
Agentic work104
Reasoning72
Math30
Knowledge64
Web design36
General203
All shared boards61261 tie
CodingLike-for-likeFour of these boards feed the Vibe Coding Index117
Coding benchmarks for Gemini 3.7 Flash and Muse Spark 1.2
BenchmarkGemini 3.7 FlashMuse Spark 1.2Leader
LiveBench coding80.5%78.2%Gemini 3.7 Flash
LMArena WebDev15911534Gemini 3.7 Flash
AA Coding Index71.572.2Muse Spark 1.2
LiveCodeBench (Vals AI)88.7%Not measuredOnly Gemini 3.7 Flash measured
SWE-bench Verified (Vals AI)80.8%86.6%Muse Spark 1.2
Terminal-Bench 4 (Vals AI)12.1%6.1%Gemini 3.7 Flash
Vibe Code Bench (Vals AI)70.4%79.1%Muse Spark 1.2
Code migration (Vals AI)34.8%29.9%Gemini 3.7 Flash
ProgramBench (Vals AI)0.0%0.5%Muse Spark 1.2
IOI (Vals AI)67.8%21.8%Gemini 3.7 Flash
Terminal-Bench 2.1 (Vals AI)77.5%69.7%Gemini 3.7 Flash
SkillsBench (Vals AI)65.9%53.0%Gemini 3.7 Flash
CyberBench (Vals AI)43.8%69.5%Muse Spark 1.2
SciCode59.8%57.4%Gemini 3.7 Flash
FrontierCode43.6%Not measuredOnly Gemini 3.7 Flash measured
FrontierSWE20.3%12.0%Gemini 3.7 Flash
WeirdMLNot measured60.3%Only Muse Spark 1.2 measured
ALE-Bench904.3Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: coding14991505Muse Spark 1.2
LMArena Text: software and IT14981505Muse Spark 1.2
LMArena WebDev: React15871526Gemini 3.7 Flash
LMArena WebDev: HTML15931543Gemini 3.7 Flash
LMArena WebDev: from an image1599Not measuredOnly Gemini 3.7 Flash measured
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Gemini 3.7 Flash and Muse Spark 1.2
BenchmarkGemini 3.7 FlashMuse Spark 1.2Leader
AA Intelligence Index39.639.6Tie
Epoch Capabilities Index158.0155.1Gemini 3.7 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index104
Agentic work benchmarks for Gemini 3.7 Flash and Muse Spark 1.2
BenchmarkGemini 3.7 FlashMuse Spark 1.2Leader
AA Agentic IndexNot measured43.2Only Muse Spark 1.2 measured
Design Arena: agents building web apps12241222Gemini 3.7 Flash
Design Arena: agents building full-stack apps12081210Muse Spark 1.2
Design Arena: agents building mobile apps12301182Gemini 3.7 Flash
Design Arena: agents building Android apps12471228Gemini 3.7 Flash
Design Arena: agents building Godot games1264Not measuredOnly Gemini 3.7 Flash measured
Design Arena: agents building games12351179Gemini 3.7 Flash
Design Arena: HTML slidesNot measured1135Only Muse Spark 1.2 measured
Design Arena: PowerPoint slidesNot measured1198Only Muse Spark 1.2 measured
Design Arena: spreadsheets1028Not measuredOnly Gemini 3.7 Flash measured
LiveBench research76.5%67.7%Gemini 3.7 Flash
LiveBench browser56.0%36.0%Gemini 3.7 Flash
LiveBench long agentic28.3%21.3%Gemini 3.7 Flash
SREBench (Vals AI)4.6%0.0%Gemini 3.7 Flash
Finance Agent (Vals AI)59.0%60.6%Muse Spark 1.2
Tax Agent Bench (Vals AI)22.8%32.8%Muse Spark 1.2
Legal Research Bench (Vals AI)34.6%43.8%Muse Spark 1.2
Excel Modeling Benchmark (Vals AI)71.3%57.0%Gemini 3.7 Flash
BioMysteryBench (Vals AI)Not measured64.8%Only Muse Spark 1.2 measured
Terminal-Bench-Science (Vals AI)7.1%Not measuredOnly Gemini 3.7 Flash measured
APEX-Agents67.8%45.4%Gemini 3.7 Flash
Remote Labor Index5.0%Not measuredOnly Gemini 3.7 Flash measured
Neither model has a result on the other 17 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index72
Reasoning benchmarks for Gemini 3.7 Flash and Muse Spark 1.2
BenchmarkGemini 3.7 FlashMuse Spark 1.2Leader
GPQA Diamond93.9%Not measuredOnly Gemini 3.7 Flash measured
LiveBench reasoning87.8%90.0%Muse Spark 1.2
MMMU Pro (Vals AI)89.0%86.1%Gemini 3.7 Flash
GPQA Diamond (Artificial Analysis run)94.5%90.4%Gemini 3.7 Flash
Humanity's Last Exam (Artificial Analysis run)47.9%45.5%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
SimpleBenchNot measured74.5%Only Muse Spark 1.2 measured
Chess puzzles66.0%27.0%Gemini 3.7 Flash
Mystery game puzzles37.0%Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: hard prompts14951489Gemini 3.7 Flash
LMArena Text: expert15121475Gemini 3.7 Flash
LMArena Text: hard prompts in English14871487Muse Spark 1.2
LMArena Vision: diagrams13291317Gemini 3.7 Flash
LMArena Vision: homework1320Not measuredOnly Gemini 3.7 Flash 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 3.7 Flash and Muse Spark 1.2
BenchmarkGemini 3.7 FlashMuse Spark 1.2Leader
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%43.0%Gemini 3.7 Flash
LMArena Text: math15111484Gemini 3.7 Flash
LMArena Text: mathematical work15021480Gemini 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 index64
Knowledge benchmarks for Gemini 3.7 Flash and Muse Spark 1.2
BenchmarkGemini 3.7 FlashMuse Spark 1.2Leader
MMLU Pro90.1%88.3%Gemini 3.7 Flash
LegalBench (Vals AI)87.3%85.3%Gemini 3.7 Flash
CorpFin (Vals AI)Not measured70.9%Only Muse Spark 1.2 measured
TaxEval (Vals AI)74.7%80.4%Muse Spark 1.2
MortgageTax (Vals AI)66.7%65.4%Gemini 3.7 Flash
MedCode (Vals AI)53.4%49.4%Gemini 3.7 Flash
SimpleQA Verified69.2%60.3%Gemini 3.7 Flash
LMArena Text: science15111500Gemini 3.7 Flash
LMArena Text: medicine and healthcare14941496Muse Spark 1.2
LMArena Text: legal and government14961517Muse Spark 1.2
LMArena Text: business and finance14791484Muse Spark 1.2
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index36
Web design benchmarks for Gemini 3.7 Flash and Muse Spark 1.2
BenchmarkGemini 3.7 FlashMuse Spark 1.2Leader
Design Arena: websites13041313Muse Spark 1.2
Design Arena: UI components12991300Muse Spark 1.2
Design Arena: game dev13181302Gemini 3.7 Flash
Design Arena: data viz13151334Muse Spark 1.2
Design Arena: 3D13081301Gemini 3.7 Flash
Design Arena: all code categories13081313Muse Spark 1.2
Design Arena: SVG12831285Muse Spark 1.2
Design Arena: ASCII art12761284Muse Spark 1.2
LiveBench design73.2%67.1%Gemini 3.7 Flash
GeneralLike-for-likePublic boards, shown as published, kept out of the index203
General benchmarks for Gemini 3.7 Flash and Muse Spark 1.2
BenchmarkGemini 3.7 FlashMuse Spark 1.2Leader
LiveBench data analysis68.0%76.5%Muse Spark 1.2
Public Benefits Bench (Vals AI)Not measured68.5%Only Muse Spark 1.2 measured
SAGE (Vals AI)49.2%47.7%Gemini 3.7 Flash
MedScribe (Vals AI)83.9%90.1%Muse Spark 1.2
Vals Multimodal IndexNot measured69.8%Only Muse Spark 1.2 measured
Long context reasoning (AA-LCR)83.0%79.0%Gemini 3.7 Flash
DTBench96.8%94.7%Gemini 3.7 Flash
LMCA50.4%48.4%Gemini 3.7 Flash
Furniture assembly26.7%Not measuredOnly Gemini 3.7 Flash measured
LMArena Text14891482Gemini 3.7 Flash
LMArena Text: instruction following14841462Gemini 3.7 Flash
LMArena Text: creative writing14881436Gemini 3.7 Flash
LMArena Vision13141304Gemini 3.7 Flash
LMArena Text: English14831483Gemini 3.7 Flash
LMArena Text: non-English14871476Gemini 3.7 Flash
LMArena Text: Chinese15521509Gemini 3.7 Flash
LMArena Text: German1506Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: Japanese1511Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: Korean14811462Gemini 3.7 Flash
LMArena Text: French15001495Gemini 3.7 Flash
LMArena Text: Spanish14951484Gemini 3.7 Flash
LMArena Text: Russian15151483Gemini 3.7 Flash
LMArena Text: Polish1503Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: multi-turn14851502Muse Spark 1.2
LMArena Text: longer queries14921473Gemini 3.7 Flash
LMArena Text: writing and language14911453Gemini 3.7 Flash
LMArena Text: entertainment and media14771443Gemini 3.7 Flash
LMArena Vision: English13091291Gemini 3.7 Flash
LMArena Vision: Chinese1394Not measuredOnly Gemini 3.7 Flash measured
LMArena Vision: reading text13221313Gemini 3.7 Flash
LMArena Vision: humor1299Not measuredOnly Gemini 3.7 Flash measured
LMArena Vision: creative writing1312Not measuredOnly Gemini 3.7 Flash measured
Neither model has a result on the other 14 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 1.2
BenchmarkGemini 3.7 FlashMuse 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 3.7 Flash$0.0026Fits in one request
Muse Spark 1.2$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 1.2$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 1.2$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 1.2
SpecificationGoogle Gemini 3.7 FlashMeta Muse Spark 1.2
MakerGoogleMeta
WeightsNo public weights listedNo public weights listed
ReleasedAugust 13, 2026August 5, 2026
Context window1.05M1.05M
Input $/Mtok$0.75$1.25
Output $/Mtok$3.75$4.25
Coding index69.965.1
Independent measurements behind it22
Cost per solved task$1.78$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.7 Flash better than Muse Spark 1.2 for coding?

Pick Gemini 3.7 Flash for coding: it scores 69.9 on the Vibe Coding Index against 65.1 for Muse Spark 1.2. Pick Muse Spark 1.2 when a solved task costs $0.64 against $1.78, or when what matters is AA Coding Index or SWE-bench Verified (Vals AI), where it leads.

Which is cheaper, Gemini 3.7 Flash or Muse Spark 1.2?

Gemini 3.7 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; Muse Spark 1.2 costs $1.25 and $4.25. Per solved SWE-bench Verified task, Gemini 3.7 Flash costs $1.78 and Muse Spark 1.2 $0.64.

Which has the bigger context window, Gemini 3.7 Flash or Muse Spark 1.2?

Neither: both take 1.05M tokens.

How many benchmarks is the Gemini 3.7 Flash vs Muse Spark 1.2 comparison based on?

88 benchmarks have a result for both models as of October 21, 2026. Gemini 3.7 Flash'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-3-7-flash-vs-meta-muse-spark-1-2" title="Gemini 3.7 Flash 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-3-7-flash-vs-meta-muse-spark-1-2">LLMBenchmark.ai, Gemini 3.7 Flash vs Muse Spark 1.2</a></p>