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Gemini 3.5 Flash Lite vs Muse Spark 1.2

Muse Spark 1.2 leads Gemini 3.5 Flash Lite on coding, 55.7 to 49.0 on the Vibe Coding Index, and Gemini 3.5 Flash Lite costs 1.7x less per output token ($2.50 vs $4.25 per million). Updated October 22, 2026; 65 benchmarks have a result for both.

Replace Gemini 3.5 Flash Lite Replace Muse Spark 1.2
Gemini 3.5 Flash LiteGoogle
Coding
49.0
Overall
49.8
Output $/M
$2.50
1
Muse Spark 1.2Meta
Coding
55.7
Overall
60.4
Output $/M
$4.25
64
vs boards won of 65 shared

Gemini 3.5 Flash Lite or Muse Spark 1.2: which to pick

Pick Muse Spark 1.2 for coding: it scores 55.7 on the Vibe Coding Index against 49.0 for Gemini 3.5 Flash Lite.

Pick Gemini 3.5 Flash Lite for output tokens 1.7x cheaper ($2.50 vs $4.25 per million) and a lower cost per solved task ($0.41 against $0.64).

Model AGemini 3.5 Flash LiteGoogle49.0/1003 independent benchmarks$0.41 per solved taskModel BMuse Spark 1.2Meta55.7/1005 independent benchmarks$0.64 per solved task
Shared results
65
Gemini 3.5 Flash Lite only
20
Muse Spark 1.2 only
32
Like-for-like categories
7 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 Lite 49.0 from 3 benchmarks, Muse Spark 1.2 55.7 from 5 benchmarks.
Widest category
Agentic work, 21.2 points apart on average over 6 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Gemini 3.5 Flash Lite 37.2% against Muse Spark 1.2 79.1%, 41.9 points apart on a 0 to 100 scale.
Output price
Gemini 3.5 Flash Lite $2.50 against Muse Spark 1.2 $4.25 per million output tokens, 1.7x 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 Flash LiteBarsMuse Spark 1.2Ties
Coding013
Intelligence02
Agentic work06
Reasoning08
Math03
Knowledge19
General023
All shared boards164
CodingLike-for-likeSix of these boards feed the Vibe Coding Index013
Coding benchmarks for Gemini 3.5 Flash Lite and Muse Spark 1.2
BenchmarkGemini 3.5 Flash LiteMuse Spark 1.2Leader
LiveBench codingNot measured78.2%Only Muse Spark 1.2 measured
LMArena WebDev14351534Muse Spark 1.2
AA Coding Index49.372.2Muse Spark 1.2
LiveCodeBench (Vals AI)79.0%Not measuredOnly Gemini 3.5 Flash Lite measured
SWE-bench Verified (Vals AI)75.0%86.6%Muse Spark 1.2
Terminal-Bench 4 (Vals AI)Not measured6.1%Only Muse Spark 1.2 measured
Vibe Code Bench (Vals AI)37.2%79.1%Muse Spark 1.2
Code migration (Vals AI)6.2%29.9%Muse Spark 1.2
ProgramBench (Vals AI)0.0%0.5%Muse Spark 1.2
IOI (Vals AI)Not measured21.8%Only Muse Spark 1.2 measured
Terminal-Bench 2.1 (Vals AI)50.2%69.7%Muse Spark 1.2
SkillsBench (Vals AI)Not measured53.0%Only Muse Spark 1.2 measured
CyberBench (Vals AI)59.1%69.5%Muse Spark 1.2
SciCode41.3%57.4%Muse Spark 1.2
FrontierSWENot measured12.0%Only Muse Spark 1.2 measured
WeirdML39.0%60.3%Muse Spark 1.2
ALE-Bench765.3Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: coding14531505Muse Spark 1.2
LMArena Text: software and IT14511505Muse Spark 1.2
LMArena WebDev: React14081526Muse Spark 1.2
LMArena WebDev: HTMLNot measured1543Only Muse Spark 1.2 measured
LMArena WebDev: from an image1448Not measuredOnly Gemini 3.5 Flash Lite measured
SciCode6.2%Not measuredOnly Gemini 3.5 Flash Lite measured
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemini 3.5 Flash Lite and Muse Spark 1.2
BenchmarkGemini 3.5 Flash LiteMuse Spark 1.2Leader
AA Intelligence Index22.239.6Muse Spark 1.2
Epoch Capabilities Index144.9155.1Muse Spark 1.2
Agentic workLike-for-likePublic boards, shown as published, kept out of the index06
Agentic work benchmarks for Gemini 3.5 Flash Lite and Muse Spark 1.2
BenchmarkGemini 3.5 Flash LiteMuse Spark 1.2Leader
AA Agentic Index14.343.2Muse Spark 1.2
Design Arena: agents building web appsNot measured1221Only Muse Spark 1.2 measured
Design Arena: agents building full-stack appsNot measured1210Only Muse Spark 1.2 measured
Design Arena: agents building mobile appsNot measured1181Only Muse Spark 1.2 measured
Design Arena: agents building Android appsNot measured1222Only Muse Spark 1.2 measured
Design Arena: agents building gamesNot measured1178Only Muse Spark 1.2 measured
Design Arena: HTML slidesNot measured1074Only Muse Spark 1.2 measured
Design Arena: PowerPoint slidesNot measured1170Only Muse Spark 1.2 measured
LiveBench researchNot measured67.7%Only Muse Spark 1.2 measured
LiveBench browserNot measured36.0%Only Muse Spark 1.2 measured
LiveBench long agenticNot measured21.3%Only Muse Spark 1.2 measured
SREBench (Vals AI)Not measured0.0%Only Muse Spark 1.2 measured
Finance Agent (Vals AI)47.4%60.6%Muse Spark 1.2
Tax Agent Bench (Vals AI)7.2%32.8%Muse Spark 1.2
Legal Research Bench (Vals AI)13.9%43.8%Muse Spark 1.2
Excel Modeling Benchmark (Vals AI)43.2%57.0%Muse Spark 1.2
BioMysteryBench (Vals AI)Not measured64.8%Only Muse Spark 1.2 measured
APEX-Agents29.3%45.4%Muse Spark 1.2
Neither model has a result on the other 24 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index08
Reasoning benchmarks for Gemini 3.5 Flash Lite and Muse Spark 1.2
BenchmarkGemini 3.5 Flash LiteMuse Spark 1.2Leader
GPQA Diamond83.8%Not measuredOnly Gemini 3.5 Flash Lite measured
LiveBench reasoningNot measured90.0%Only Muse Spark 1.2 measured
MMMU Pro (Vals AI)83.6%86.1%Muse Spark 1.2
GPQA Diamond (Artificial Analysis run)83.8%90.4%Muse Spark 1.2
Humanity's Last Exam (Artificial Analysis run)18.8%45.5%Muse Spark 1.2
GPQA Diamond (Epoch AI run)83.3%Not measuredOnly Gemini 3.5 Flash Lite measured
ARC-AGI53.5%Not measuredOnly Gemini 3.5 Flash Lite measured
ARC-AGI-210.3%Not measuredOnly Gemini 3.5 Flash Lite measured
SimpleBenchNot measured74.5%Only Muse Spark 1.2 measured
Chess puzzles21.0%27.0%Muse Spark 1.2
Mystery game puzzles19.0%Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: hard prompts14411489Muse Spark 1.2
LMArena Text: expert14341475Muse Spark 1.2
LMArena Text: hard prompts in English14401487Muse Spark 1.2
LMArena Vision: diagrams12841317Muse Spark 1.2
LMArena Vision: homework1291Not measuredOnly Gemini 3.5 Flash Lite measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for Gemini 3.5 Flash Lite and Muse Spark 1.2
BenchmarkGemini 3.5 Flash LiteMuse Spark 1.2Leader
OTIS Mock AIME71.1%Not measuredOnly Gemini 3.5 Flash Lite measured
FrontierMath, tiers 1 to 326.0%Not measuredOnly Gemini 3.5 Flash Lite measured
FrontierMath, tier 40.0%Not measuredOnly Gemini 3.5 Flash Lite measured
ProofBench13.0%43.0%Muse Spark 1.2
LMArena Text: math14341484Muse Spark 1.2
LMArena Text: mathematical work14331480Muse Spark 1.2
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index19
Knowledge benchmarks for Gemini 3.5 Flash Lite and Muse Spark 1.2
BenchmarkGemini 3.5 Flash LiteMuse Spark 1.2Leader
MMLU Pro85.8%88.3%Muse Spark 1.2
LegalBench (Vals AI)84.1%85.3%Muse Spark 1.2
CorpFin (Vals AI)60.7%70.9%Muse Spark 1.2
TaxEval (Vals AI)72.6%80.4%Muse Spark 1.2
MortgageTax (Vals AI)68.7%65.4%Gemini 3.5 Flash Lite
MedCode (Vals AI)43.5%49.4%Muse Spark 1.2
SimpleQA VerifiedNot measured60.3%Only Muse Spark 1.2 measured
LMArena Text: science14511500Muse Spark 1.2
LMArena Text: medicine and healthcare14381496Muse Spark 1.2
LMArena Text: legal and government14311517Muse Spark 1.2
LMArena Text: business and finance14231484Muse Spark 1.2
FACTS Benchmark Suite53.5%Not measuredOnly Gemini 3.5 Flash Lite measured
Neither model has a result on the other 8 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Gemini 3.5 Flash Lite and Muse Spark 1.2
BenchmarkGemini 3.5 Flash LiteMuse Spark 1.2Leader
Design Arena: websitesNot measured1312Only Muse Spark 1.2 measured
Design Arena: UI componentsNot measured1299Only Muse Spark 1.2 measured
Design Arena: game devNot measured1300Only Muse Spark 1.2 measured
Design Arena: data vizNot measured1334Only Muse Spark 1.2 measured
Design Arena: 3DNot measured1300Only Muse Spark 1.2 measured
Design Arena: all code categoriesNot measured1312Only Muse Spark 1.2 measured
Design Arena: SVGNot measured1283Only Muse Spark 1.2 measured
Design Arena: ASCII artNot measured1284Only Muse Spark 1.2 measured
LiveBench designNot measured67.1%Only Muse Spark 1.2 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index023
General benchmarks for Gemini 3.5 Flash Lite and Muse Spark 1.2
BenchmarkGemini 3.5 Flash LiteMuse Spark 1.2Leader
LiveBench data analysisNot measured76.5%Only Muse Spark 1.2 measured
Public Benefits Bench (Vals AI)51.8%68.5%Muse Spark 1.2
SAGE (Vals AI)47.3%47.7%Muse Spark 1.2
MedScribe (Vals AI)70.9%90.1%Muse Spark 1.2
Vals Multimodal IndexNot measured69.8%Only Muse Spark 1.2 measured
Long context reasoning (AA-LCR)76.0%79.0%Muse Spark 1.2
DTBench83.5%94.7%Muse Spark 1.2
LMCA37.6%48.4%Muse Spark 1.2
LMArena Text14351482Muse Spark 1.2
LMArena Text: instruction following14191462Muse Spark 1.2
LMArena Text: creative writing14211436Muse Spark 1.2
LMArena Vision12691304Muse Spark 1.2
LMArena Text: English14381483Muse Spark 1.2
LMArena Text: non-English14271476Muse Spark 1.2
LMArena Text: Chinese14681509Muse Spark 1.2
LMArena Text: German1454Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: Japanese1426Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: Korean14071462Muse Spark 1.2
LMArena Text: French14511495Muse Spark 1.2
LMArena Text: Spanish14411484Muse Spark 1.2
LMArena Text: Russian14431483Muse Spark 1.2
LMArena Text: Polish1437Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: multi-turn14451502Muse Spark 1.2
LMArena Text: longer queries14351473Muse Spark 1.2
LMArena Text: writing and language14281453Muse Spark 1.2
LMArena Text: entertainment and media14141443Muse Spark 1.2
LMArena Vision: English12691291Muse Spark 1.2
LMArena Vision: Chinese1311Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Vision: reading text12801313Muse Spark 1.2
LMArena Vision: humor1287Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Vision: creative writing1260Not measuredOnly Gemini 3.5 Flash Lite measured
Neither model has a result on the other 17 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 Lite and Muse Spark 1.2
BenchmarkGemini 3.5 Flash LiteMuse 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 3.5 Flash Lite$0.0015Fits in one request
Muse Spark 1.2$0.0034Fits in one request

Gemini 3.5 Flash Lite costs less

Repository review

50K input + 3K output tokens

Gemini 3.5 Flash Lite$0.022Fits in one request
Muse Spark 1.2$0.075Fits in one request

Gemini 3.5 Flash Lite costs less

Agent loop

200K input + 10K output tokens

Gemini 3.5 Flash Lite$0.085Fits in one request
Muse Spark 1.2$0.292Fits in one request

Gemini 3.5 Flash Lite 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 Lite and Muse Spark 1.2
SpecificationGoogle Gemini 3.5 Flash LiteMeta Muse Spark 1.2
MakerGoogleMeta
WeightsNo public weights listedNo public weights listed
ReleasedJuly 21, 2026August 5, 2026
Context window1.05M1.05M
Input $/Mtok$0.30$1.25
Output $/Mtok$2.50$4.25
Coding index49.055.7
Independent measurements behind it35
Cost per solved task$0.41$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.5 Flash Lite better than Muse Spark 1.2 for coding?

Pick Muse Spark 1.2 for coding: it scores 55.7 on the Vibe Coding Index against 49.0 for Gemini 3.5 Flash Lite. Pick Gemini 3.5 Flash Lite for output tokens 1.7x cheaper ($2.50 vs $4.25 per million) and a lower cost per solved task ($0.41 against $0.64).

Which is cheaper, Gemini 3.5 Flash Lite or Muse Spark 1.2?

Gemini 3.5 Flash Lite costs $0.30 per million input tokens and $2.50 per million output tokens; Muse Spark 1.2 costs $1.25 and $4.25. Per solved SWE-bench Verified task, Gemini 3.5 Flash Lite costs $0.41 and Muse Spark 1.2 $0.64.

Which has the bigger context window, Gemini 3.5 Flash Lite or Muse Spark 1.2?

Neither: both take 1.05M tokens.

How many benchmarks is the Gemini 3.5 Flash Lite vs Muse Spark 1.2 comparison based on?

65 benchmarks have a result for both models as of October 22, 2026. Gemini 3.5 Flash Lite's coding index rests on 3 independent benchmarks and Muse Spark 1.2's on 5. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gemini-3-5-flash-lite-vs-meta-muse-spark-1-2">LLMBenchmark.ai, Gemini 3.5 Flash Lite vs Muse Spark 1.2</a></p>