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Gemini 2.5 Flash vs Muse Spark 1.3

Updated October 21, 2026. 50 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Gemini 2.5 FlashGoogle
Coding
28.7
Overall
15.5
Output $/M
$2.50
0
Muse Spark 1.3Meta
Coding
79.7
Overall
48.1
Output $/M
$4.25
50
vs boards won of 50 shared

Decision reading

Pick Muse Spark 1.3 for coding: it scores 79.7 on the Vibe Coding Index against 28.7 for Gemini 2.5 Flash.

Pick Gemini 2.5 Flash when output tokens cost 1.7x less.

Shared results
50
Gemini 2.5 Flash only
19
Muse Spark 1.3 only
42
Like-for-like categories
7 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 2.5 Flash 28.7 from 1 benchmark, Muse Spark 1.3 79.7 from 2 benchmarks.
Widest category
Web design, 38.4 points apart on average over 7 shared benchmarks.
Widest single gap
Design Arena: UI components: Gemini 2.5 Flash 1005 against Muse Spark 1.3 1352, 43.4 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Flash $2.50 against Muse Spark 1.3 $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 2.5 FlashBarsMuse Spark 1.3Ties
Coding02
Intelligence02
Reasoning07
Math02
Knowledge04
Web design07
General026
All shared boards050
CodingLike-for-likeFour of these boards feed the Vibe Coding Index02
Coding benchmarks for Gemini 2.5 Flash and Muse Spark 1.3
BenchmarkGemini 2.5 FlashMuse Spark 1.3Leader
SWE-bench Verified28.7%Not measuredOnly Gemini 2.5 Flash measured
LiveBench codingNot measured90.2%Only Muse Spark 1.3 measured
LMArena WebDevNot measured1659Only Muse Spark 1.3 measured
AA Coding IndexNot measured75.8Only Muse Spark 1.3 measured
Terminal-Bench 4 (Vals AI)Not measured10.6%Only Muse Spark 1.3 measured
Vibe Code Bench (Vals AI)Not measured82.9%Only Muse Spark 1.3 measured
Code migration (Vals AI)Not measured27.6%Only Muse Spark 1.3 measured
ProgramBench (Vals AI)Not measured0.5%Only Muse Spark 1.3 measured
IOI (Vals AI)Not measured43.9%Only Muse Spark 1.3 measured
Terminal-Bench 2.1 (Vals AI)Not measured72.3%Only Muse Spark 1.3 measured
CyberBench (Vals AI)Not measured69.4%Only Muse Spark 1.3 measured
LiveCodeBench (Artificial Analysis run)69.5%Not measuredOnly Gemini 2.5 Flash measured
SciCodeNot measured59.7%Only Muse Spark 1.3 measured
Terminal-Bench Hard (Artificial Analysis run)13.6%Not measuredOnly Gemini 2.5 Flash measured
Terminal-Bench17.1%Not measuredOnly Gemini 2.5 Flash measured
FrontierSWENot measured25.8%Only Muse Spark 1.3 measured
ALE-BenchNot measured1688.3Only Muse Spark 1.3 measured
LMArena Text: coding14231510Muse Spark 1.3
LMArena Text: software and IT14251511Muse Spark 1.3
LMArena WebDev: ReactNot measured1672Only Muse Spark 1.3 measured
LMArena WebDev: HTMLNot measured1653Only Muse Spark 1.3 measured
LMArena WebDev: from an imageNot measured1640Only Muse Spark 1.3 measured
Neither model has a result on the other 16 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemini 2.5 Flash and Muse Spark 1.3
BenchmarkGemini 2.5 FlashMuse Spark 1.3Leader
AA Intelligence Index15.548.1Muse Spark 1.3
Epoch Capabilities Index142.9157.2Muse Spark 1.3
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index19 boards, none shared
Agentic work benchmarks for Gemini 2.5 Flash and Muse Spark 1.3
BenchmarkGemini 2.5 FlashMuse Spark 1.3Leader
AA Agentic IndexNot measured55.5Only Muse Spark 1.3 measured
Design Arena: agents building web appsNot measured1297Only Muse Spark 1.3 measured
Design Arena: agents building full-stack appsNot measured1295Only Muse Spark 1.3 measured
Design Arena: agents building mobile appsNot measured1217Only Muse Spark 1.3 measured
Design Arena: agents building Godot gamesNot measured1241Only Muse Spark 1.3 measured
Design Arena: PowerPoint slidesNot measured1244Only Muse Spark 1.3 measured
Design Arena: spreadsheetsNot measured1048Only Muse Spark 1.3 measured
LiveBench researchNot measured68.6%Only Muse Spark 1.3 measured
LiveBench browserNot measured80.0%Only Muse Spark 1.3 measured
LiveBench long agenticNot measured40.4%Only Muse Spark 1.3 measured
Finance Agent (Vals AI)Not measured58.9%Only Muse Spark 1.3 measured
Tax Agent Bench (Vals AI)Not measured36.0%Only Muse Spark 1.3 measured
Legal Research Bench (Vals AI)Not measured40.9%Only Muse Spark 1.3 measured
Excel Modeling Benchmark (Vals AI)Not measured62.7%Only Muse Spark 1.3 measured
Terminal-Bench-Science (Vals AI)Not measured4.3%Only Muse Spark 1.3 measured
τ²-Bench Telecom31.6%Not measuredOnly Gemini 2.5 Flash measured
APEX-AgentsNot measured58.6%Only Muse Spark 1.3 measured
BALROG33.5%Not measuredOnly Gemini 2.5 Flash measured
Vending-Bench 2$549Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 20 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index07
Reasoning benchmarks for Gemini 2.5 Flash and Muse Spark 1.3
BenchmarkGemini 2.5 FlashMuse Spark 1.3Leader
LiveBench reasoningNot measured89.7%Only Muse Spark 1.3 measured
GPQA Diamond (Artificial Analysis run)79.0%94.1%Muse Spark 1.3
Humanity's Last Exam (Artificial Analysis run)12.1%48.7%Muse Spark 1.3
ARC-AGI33.3%Not measuredOnly Gemini 2.5 Flash measured
ARC-AGI-22.5%Not measuredOnly Gemini 2.5 Flash measured
SimpleBench41.2%Not measuredOnly Gemini 2.5 Flash measured
Chess puzzlesNot measured37.0%Only Muse Spark 1.3 measured
Mystery game puzzlesNot measured25.0%Only Muse Spark 1.3 measured
LMArena Text: hard prompts14221503Muse Spark 1.3
LMArena Text: expert14261519Muse Spark 1.3
LMArena Text: hard prompts in English14201500Muse Spark 1.3
LMArena Vision: diagrams12451330Muse Spark 1.3
LMArena Vision: homework12441296Muse Spark 1.3
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Gemini 2.5 Flash and Muse Spark 1.3
BenchmarkGemini 2.5 FlashMuse Spark 1.3Leader
AA Math Index73.3Not measuredOnly Gemini 2.5 Flash measured
AIME 2025 (Artificial Analysis run)73.3%Not measuredOnly Gemini 2.5 Flash measured
OTIS Mock AIMENot measured99.2%Only Muse Spark 1.3 measured
FrontierMath, tiers 1 to 3Not measured74.4%Only Muse Spark 1.3 measured
FrontierMath, tier 4Not measured46.3%Only Muse Spark 1.3 measured
ProofBenchNot measured58.0%Only Muse Spark 1.3 measured
LMArena Text: math14111497Muse Spark 1.3
LMArena Text: mathematical work14221491Muse Spark 1.3
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Gemini 2.5 Flash and Muse Spark 1.3
BenchmarkGemini 2.5 FlashMuse Spark 1.3Leader
MedCode (Vals AI)40.4%Not measuredOnly Gemini 2.5 Flash measured
MMLU Pro (Artificial Analysis run)83.2%Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: science14331507Muse Spark 1.3
LMArena Text: medicine and healthcare14281493Muse Spark 1.3
LMArena Text: legal and government14301499Muse Spark 1.3
LMArena Text: business and finance14041490Muse Spark 1.3
Neither model has a result on the other 11 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index07
Web design benchmarks for Gemini 2.5 Flash and Muse Spark 1.3
BenchmarkGemini 2.5 FlashMuse Spark 1.3Leader
Design Arena: websites10741356Muse Spark 1.3
Design Arena: UI components10051352Muse Spark 1.3
Design Arena: game dev10051329Muse Spark 1.3
Design Arena: data viz10601343Muse Spark 1.3
Design Arena: 3D10211359Muse Spark 1.3
Design Arena: all code categories10591353Muse Spark 1.3
Design Arena: SVG10181300Muse Spark 1.3
Design Arena: ASCII artNot measured1280Only Muse Spark 1.3 measured
LiveBench designNot measured74.8%Only Muse Spark 1.3 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index026
General benchmarks for Gemini 2.5 Flash and Muse Spark 1.3
BenchmarkGemini 2.5 FlashMuse Spark 1.3Leader
LiveBench data analysisNot measured79.6%Only Muse Spark 1.3 measured
SAGE (Vals AI)44.8%Not measuredOnly Gemini 2.5 Flash measured
MedScribe (Vals AI)83.0%Not measuredOnly Gemini 2.5 Flash measured
IFBench50.3%Not measuredOnly Gemini 2.5 Flash measured
Long context reasoning (AA-LCR)65.3%83.0%Muse Spark 1.3
DTBench76.5%96.5%Muse Spark 1.3
LMCA27.5%53.9%Muse Spark 1.3
LMArena Text14171490Muse Spark 1.3
LMArena Text: instruction following14051479Muse Spark 1.3
LMArena Text: creative writing14001462Muse Spark 1.3
LMArena Vision12351308Muse Spark 1.3
LMArena Text: English14181495Muse Spark 1.3
LMArena Text: non-English14091481Muse Spark 1.3
LMArena Text: Chinese14491532Muse Spark 1.3
LMArena Text: German14171513Muse Spark 1.3
LMArena Text: Japanese13961470Muse Spark 1.3
LMArena Text: Korean13851490Muse Spark 1.3
LMArena Text: French14321511Muse Spark 1.3
LMArena Text: Spanish14221496Muse Spark 1.3
LMArena Text: Russian14151491Muse Spark 1.3
LMArena Text: Polish14131490Muse Spark 1.3
LMArena Text: multi-turn14081487Muse Spark 1.3
LMArena Text: longer queries14191488Muse Spark 1.3
LMArena Text: writing and language14051470Muse Spark 1.3
LMArena Text: entertainment and media13931457Muse Spark 1.3
LMArena Vision: English12391298Muse Spark 1.3
LMArena Vision: Chinese12841384Muse Spark 1.3
LMArena Vision: reading text12371319Muse Spark 1.3
LMArena Vision: humor12251293Muse Spark 1.3
LMArena Vision: captioning1277Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: recognizing things1252Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: creative writing12411296Muse Spark 1.3
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 2.5 Flash and Muse Spark 1.3
BenchmarkGemini 2.5 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 2.5 Flash$0.0015Fits in one request
Muse Spark 1.3$0.0034Fits in one request

Gemini 2.5 Flash costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Flash$0.022Fits in one request
Muse Spark 1.3$0.075Fits in one request

Gemini 2.5 Flash costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Flash$0.085Fits in one request
Muse Spark 1.3$0.292Fits in one request

Gemini 2.5 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 2.5 Flash and Muse Spark 1.3
SpecificationGoogle Gemini 2.5 FlashMeta Muse Spark 1.3
MakerGoogleMeta
WeightsNo public weights listedNo public weights listed
ReleasedJune 17, 2025September 2, 2026
Context window1.05M1.05M
Input $/Mtok$0.30$1.25
Output $/Mtok$2.50$4.25
Coding index28.779.7
Independent measurements behind it12
Cost per solved task$0.466Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 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 28.7 for Gemini 2.5 Flash. Pick Gemini 2.5 Flash when output tokens cost 1.7x less.

Which is cheaper, Gemini 2.5 Flash or Muse Spark 1.3?

Gemini 2.5 Flash costs $0.30 per million input tokens and $2.50 per million output tokens; Muse Spark 1.3 costs $1.25 and $4.25. Cost per solved task is known for Gemini 2.5 Flash only.

Which has the bigger context window, Gemini 2.5 Flash or Muse Spark 1.3?

Neither: both take 1.05M tokens.

How many benchmarks is the Gemini 2.5 Flash vs Muse Spark 1.3 comparison based on?

50 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 Flash's coding index rests on 1 independent benchmark 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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