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Gemini 3.8 Flash vs Muse Spark 1.3

Updated October 21, 2026. 92 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Gemini 3.8 Flash Replace Muse Spark 1.3
Gemini 3.8 FlashGoogle
Coding
70.5
Overall
40.9
Output $/M
$4.125
47
Muse Spark 1.3Meta
Coding
79.7
Overall
48.1
Output $/M
$4.25
45
vs boards won of 92 shared

Decision reading

Pick Muse Spark 1.3 for coding: it scores 79.7 on the Vibe Coding Index against 70.5 for Gemini 3.8 Flash.

Pick Gemini 3.8 Flash when output tokens cost 1.0x less, or when what matters is AA Coding Index or Terminal-Bench 4 (Vals AI), where it leads.

Model AGemini 3.8 FlashGoogle70.5/1002 independent benchmarks$2.74 per solved taskModel BMuse Spark 1.3Meta79.7/1002 independent benchmarksNo cost per solved task
Shared results
92
Gemini 3.8 Flash only
34
Muse Spark 1.3 only
0
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 3.8 Flash 70.5 from 2 benchmarks, Muse Spark 1.3 79.7 from 2 benchmarks.
Widest category
Math, 8.5 points apart on average over 6 shared benchmarks.
Widest single gap
CyberBench (Vals AI): Gemini 3.8 Flash 43.8% against Muse Spark 1.3 69.4%, 25.7 points apart on a 0 to 100 scale.
Output price
Gemini 3.8 Flash $4.125 against Muse Spark 1.3 $4.25 per million output tokens, 1.0x 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 3.8 FlashBarsMuse Spark 1.3Ties
Coding612
Intelligence11
Agentic work88
Reasoning82
Math24
Knowledge22
Web design09
General207
All shared boards4745
CodingLike-for-likeFour of these boards feed the Vibe Coding Index612
Coding benchmarks for Gemini 3.8 Flash and Muse Spark 1.3
BenchmarkGemini 3.8 FlashMuse Spark 1.3Leader
LiveBench coding82.2%90.2%Muse Spark 1.3
LMArena WebDev15851659Muse Spark 1.3
AA Coding Index76.375.8Gemini 3.8 Flash
LiveCodeBench (Vals AI)89.5%Not measuredOnly Gemini 3.8 Flash measured
SWE-bench Verified (Vals AI)80.0%Not measuredOnly Gemini 3.8 Flash measured
Terminal-Bench 4 (Vals AI)19.7%10.6%Gemini 3.8 Flash
Vibe Code Bench (Vals AI)78.7%82.9%Muse Spark 1.3
Code migration (Vals AI)36.5%27.6%Gemini 3.8 Flash
ProgramBench (Vals AI)1.0%0.5%Gemini 3.8 Flash
IOI (Vals AI)56.9%43.9%Gemini 3.8 Flash
Terminal-Bench 2.1 (Vals AI)81.3%72.3%Gemini 3.8 Flash
SWE-bench Multimodal (Vals AI)40.8%Not measuredOnly Gemini 3.8 Flash measured
Vibe Code Bench 1-100 (Vals AI)18.8%Not measuredOnly Gemini 3.8 Flash measured
SkillsBench (Vals AI)58.0%Not measuredOnly Gemini 3.8 Flash measured
CyberBench (Vals AI)43.8%69.4%Muse Spark 1.3
SciCode56.6%59.7%Muse Spark 1.3
FrontierCode41.2%Not measuredOnly Gemini 3.8 Flash measured
FrontierSWE19.6%25.8%Muse Spark 1.3
WeirdML84.8%Not measuredOnly Gemini 3.8 Flash measured
ALE-Bench1269.71688.3Muse Spark 1.3
LMArena Text: coding15081510Muse Spark 1.3
LMArena Text: software and IT15071511Muse Spark 1.3
LMArena WebDev: React15771672Muse Spark 1.3
LMArena WebDev: HTML16161653Muse Spark 1.3
LMArena WebDev: from an image15931640Muse Spark 1.3
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
Intelligence benchmarks for Gemini 3.8 Flash and Muse Spark 1.3
BenchmarkGemini 3.8 FlashMuse Spark 1.3Leader
AA Intelligence Index40.948.1Muse Spark 1.3
Epoch Capabilities Index157.4157.2Gemini 3.8 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index88
Agentic work benchmarks for Gemini 3.8 Flash and Muse Spark 1.3
BenchmarkGemini 3.8 FlashMuse Spark 1.3Leader
AA Agentic Index40.255.5Muse Spark 1.3
Design Arena: agents building web apps12381297Muse Spark 1.3
Design Arena: agents building full-stack apps12441295Muse Spark 1.3
Design Arena: agents building mobile apps12361217Gemini 3.8 Flash
Design Arena: agents building Android apps1078Not measuredOnly Gemini 3.8 Flash measured
Design Arena: agents building Godot games12731241Gemini 3.8 Flash
Design Arena: PowerPoint slides11781244Muse Spark 1.3
Design Arena: spreadsheets10521048Gemini 3.8 Flash
LiveBench research79.1%68.6%Gemini 3.8 Flash
LiveBench browser64.0%80.0%Muse Spark 1.3
LiveBench long agentic30.1%40.4%Muse Spark 1.3
SREBench (Vals AI)11.1%Not measuredOnly Gemini 3.8 Flash measured
Finance Agent (Vals AI)61.4%58.9%Gemini 3.8 Flash
Tax Agent Bench (Vals AI)32.1%36.0%Muse Spark 1.3
Legal Research Bench (Vals AI)38.9%40.9%Muse Spark 1.3
Harvey's Legal Agent Benchmark (Vals AI)12.1%Not measuredOnly Gemini 3.8 Flash measured
Excel Modeling Benchmark (Vals AI)72.2%62.7%Gemini 3.8 Flash
BioMysteryBench (Vals AI)62.2%Not measuredOnly Gemini 3.8 Flash measured
Terminal-Bench-Science (Vals AI)8.6%4.3%Gemini 3.8 Flash
Vals Science Index35.8%Not measuredOnly Gemini 3.8 Flash measured
Time Horizon Index (Vals AI)18.8%Not measuredOnly Gemini 3.8 Flash measured
CUA-bench (Vals AI)4.2%Not measuredOnly Gemini 3.8 Flash measured
APEX-Agents64.3%58.6%Gemini 3.8 Flash
Remote Labor Index5.8%Not measuredOnly Gemini 3.8 Flash measured
Vending-Bench 2$5,094Not measuredOnly Gemini 3.8 Flash measured
Neither model has a result on the other 14 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index82
Reasoning benchmarks for Gemini 3.8 Flash and Muse Spark 1.3
BenchmarkGemini 3.8 FlashMuse Spark 1.3Leader
GPQA Diamond94.4%Not measuredOnly Gemini 3.8 Flash measured
LiveBench reasoning89.3%89.7%Muse Spark 1.3
MysteryMechanism (Vals AI)36.5%Not measuredOnly Gemini 3.8 Flash measured
MMMU Pro (Vals AI)89.1%Not measuredOnly Gemini 3.8 Flash measured
GPQA Diamond (Artificial Analysis run)95.3%94.1%Gemini 3.8 Flash
Humanity's Last Exam (Artificial Analysis run)47.8%48.7%Muse Spark 1.3
GPQA Diamond (Epoch AI run)95.4%Not measuredOnly Gemini 3.8 Flash measured
ARC-AGI98.5%Not measuredOnly Gemini 3.8 Flash measured
ARC-AGI-289.2%Not measuredOnly Gemini 3.8 Flash measured
Chess puzzles58.0%37.0%Gemini 3.8 Flash
Mystery game puzzles47.0%25.0%Gemini 3.8 Flash
LMArena Text: hard prompts15091503Gemini 3.8 Flash
LMArena Text: expert15261519Gemini 3.8 Flash
LMArena Text: hard prompts in English15041500Gemini 3.8 Flash
LMArena Vision: diagrams13451330Gemini 3.8 Flash
LMArena Vision: homework13511296Gemini 3.8 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 3.8 Flash and Muse Spark 1.3
BenchmarkGemini 3.8 FlashMuse Spark 1.3Leader
OTIS Mock AIME98.9%99.2%Muse Spark 1.3
FrontierMath, tiers 1 to 368.4%74.4%Muse Spark 1.3
FrontierMath, tier 422.0%46.3%Muse Spark 1.3
ProofBench48.0%58.0%Muse Spark 1.3
LMArena Text: math15321497Gemini 3.8 Flash
LMArena Text: mathematical work15191491Gemini 3.8 Flash
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 3.8 Flash and Muse Spark 1.3
BenchmarkGemini 3.8 FlashMuse Spark 1.3Leader
MMLU Pro90.2%Not measuredOnly Gemini 3.8 Flash measured
LegalBench (Vals AI)87.0%Not measuredOnly Gemini 3.8 Flash measured
TaxEval (Vals AI)74.5%Not measuredOnly Gemini 3.8 Flash measured
MortgageTax (Vals AI)65.3%Not measuredOnly Gemini 3.8 Flash measured
MedCode (Vals AI)48.1%Not measuredOnly Gemini 3.8 Flash measured
SimpleQA Verified69.7%Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: science15231507Gemini 3.8 Flash
LMArena Text: medicine and healthcare15081493Gemini 3.8 Flash
LMArena Text: legal and government14971499Muse Spark 1.3
LMArena Text: business and finance14791490Muse Spark 1.3
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 3.8 Flash and Muse Spark 1.3
BenchmarkGemini 3.8 FlashMuse Spark 1.3Leader
Design Arena: websites13011356Muse Spark 1.3
Design Arena: UI components13181352Muse Spark 1.3
Design Arena: game dev13051329Muse Spark 1.3
Design Arena: data viz12691343Muse Spark 1.3
Design Arena: 3D12951359Muse Spark 1.3
Design Arena: all code categories13041353Muse Spark 1.3
Design Arena: SVG12951300Muse Spark 1.3
Design Arena: ASCII art12641280Muse Spark 1.3
LiveBench design72.7%74.8%Muse Spark 1.3
GeneralLike-for-likePublic boards, shown as published, kept out of the index207
General benchmarks for Gemini 3.8 Flash and Muse Spark 1.3
BenchmarkGemini 3.8 FlashMuse Spark 1.3Leader
Vals Index56.0%Not measuredOnly Gemini 3.8 Flash measured
LiveBench data analysis54.0%79.6%Muse Spark 1.3
Public Benefits Bench (Vals AI)65.3%Not measuredOnly Gemini 3.8 Flash measured
SAGE (Vals AI)35.1%Not measuredOnly Gemini 3.8 Flash measured
MedScribe (Vals AI)84.5%Not measuredOnly Gemini 3.8 Flash measured
Long context reasoning (AA-LCR)84.0%83.0%Gemini 3.8 Flash
DTBench95.7%96.5%Muse Spark 1.3
LMCA52.9%53.9%Muse Spark 1.3
Surface Evolver Bench76.9%Not measuredOnly Gemini 3.8 Flash measured
Furniture assembly31.7%Not measuredOnly Gemini 3.8 Flash measured
LMArena Text14991490Gemini 3.8 Flash
LMArena Text: instruction following14921479Gemini 3.8 Flash
LMArena Text: creative writing14881462Gemini 3.8 Flash
LMArena Vision13151308Gemini 3.8 Flash
LMArena Text: English14981495Gemini 3.8 Flash
LMArena Text: non-English14911481Gemini 3.8 Flash
LMArena Text: Chinese15531532Gemini 3.8 Flash
LMArena Text: German15011513Muse Spark 1.3
LMArena Text: Japanese15071470Gemini 3.8 Flash
LMArena Text: Korean14641490Muse Spark 1.3
LMArena Text: French14961511Muse Spark 1.3
LMArena Text: Spanish14871496Muse Spark 1.3
LMArena Text: Russian15141491Gemini 3.8 Flash
LMArena Text: Polish14971490Gemini 3.8 Flash
LMArena Text: multi-turn15031487Gemini 3.8 Flash
LMArena Text: longer queries15071488Gemini 3.8 Flash
LMArena Text: writing and language14941470Gemini 3.8 Flash
LMArena Text: entertainment and media14801457Gemini 3.8 Flash
LMArena Vision: English13181298Gemini 3.8 Flash
LMArena Vision: Chinese14161384Gemini 3.8 Flash
LMArena Vision: reading text13331319Gemini 3.8 Flash
LMArena Vision: humor13211293Gemini 3.8 Flash
LMArena Vision: creative writing12991296Gemini 3.8 Flash
Neither model has a result on the other 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 3.8 Flash and Muse Spark 1.3
BenchmarkGemini 3.8 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 3.8 Flash$0.0029Fits in one request
Muse Spark 1.3$0.0034Fits in one request

Gemini 3.8 Flash costs less

Repository review

50K input + 3K output tokens

Gemini 3.8 Flash$0.054Fits in one request
Muse Spark 1.3$0.075Fits in one request

Gemini 3.8 Flash costs less

Agent loop

200K input + 10K output tokens

Gemini 3.8 Flash$0.206Fits in one request
Muse Spark 1.3$0.292Fits in one request

Gemini 3.8 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 3.8 Flash and Muse Spark 1.3
SpecificationGoogle Gemini 3.8 FlashMeta Muse Spark 1.3
MakerGoogleMeta
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 2, 2026September 2, 2026
Context window1.05M1.05M
Input $/Mtok$0.825$1.25
Output $/Mtok$4.125$4.25
Coding index70.579.7
Independent measurements behind it22
Cost per solved task$2.74Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.8 Flash better than Muse Spark 1.3 for coding?

Pick Muse Spark 1.3 for coding: it scores 79.7 on the Vibe Coding Index against 70.5 for Gemini 3.8 Flash. Pick Gemini 3.8 Flash when output tokens cost 1.0x less, or when what matters is AA Coding Index or Terminal-Bench 4 (Vals AI), where it leads.

Which is cheaper, Gemini 3.8 Flash or Muse Spark 1.3?

Gemini 3.8 Flash costs $0.825 per million input tokens and $4.125 per million output tokens; Muse Spark 1.3 costs $1.25 and $4.25. Cost per solved task is known for Gemini 3.8 Flash only.

Which has the bigger context window, Gemini 3.8 Flash or Muse Spark 1.3?

Neither: both take 1.05M tokens.

How many benchmarks is the Gemini 3.8 Flash vs Muse Spark 1.3 comparison based on?

92 benchmarks have a result for both models as of October 21, 2026. Gemini 3.8 Flash's coding index rests on 2 independent benchmarks and Muse Spark 1.3'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-3-8-flash-vs-meta-muse-spark-1-3" title="Gemini 3.8 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-3-8-flash-vs-meta-muse-spark-1-3">LLMBenchmark.ai, Gemini 3.8 Flash vs Muse Spark 1.3</a></p>