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Gemini 2.5 Pro vs Muse Spark 1.3

Muse Spark 1.3 leads Gemini 2.5 Pro on coding, 57.4 to 19.1 on the Vibe Coding Index, and Muse Spark 1.3 costs 2.4x less per output token ($4.25 vs $10.00 per million). Updated October 22, 2026; 59 benchmarks have a result for both.

Replace Gemini 2.5 Pro Replace Muse Spark 1.3
Gemini 2.5 ProGoogle
Coding
19.1
Overall
41.8
Output $/M
$10.00
0
Muse Spark 1.3Meta
Coding
57.4
Overall
68.6
Output $/M
$4.25
59
vs boards won of 59 shared

Gemini 2.5 Pro or Muse Spark 1.3: which to pick

Pick Muse Spark 1.3 for coding: it scores 57.4 on the Vibe Coding Index against 19.1 for Gemini 2.5 Pro.

Gemini 2.5 Pro is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Model AGemini 2.5 ProGoogle19.1/1003 independent benchmarks$0.64 per solved taskModel BMuse Spark 1.3Meta57.4/1004 independent benchmarksNo cost per solved task
Shared results
59
Gemini 2.5 Pro only
31
Muse Spark 1.3 only
33
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 2.5 Pro 19.1 from 3 benchmarks, Muse Spark 1.3 57.4 from 4 benchmarks.
Widest category
Agentic work, 53.9 points apart on average over 1 shared benchmark.
Widest single gap
Vibe Code Bench (Vals AI): Gemini 2.5 Pro 0.4% against Muse Spark 1.3 82.9%, 82.5 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Pro $10.00 against Muse Spark 1.3 $4.25 per million output tokens, 2.4x 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 ProBarsMuse Spark 1.3Ties
Coding08
Intelligence02
Agentic work01
Reasoning07
Math05
Knowledge04
Web design06
General026
All shared boards059
CodingLike-for-likeSix of these boards feed the Vibe Coding Index08
Coding benchmarks for Gemini 2.5 Pro and Muse Spark 1.3
BenchmarkGemini 2.5 ProMuse Spark 1.3Leader
SWE-bench Verified53.6%Not measuredOnly Gemini 2.5 Pro measured
LiveBench codingNot measured90.2%Only Muse Spark 1.3 measured
LMArena WebDev12261659Muse Spark 1.3
AA Coding Index33.375.8Muse Spark 1.3
SWE-bench Verified (Vals AI)54.4%Not measuredOnly Gemini 2.5 Pro measured
Terminal-Bench 4 (Vals AI)Not measured10.6%Only Muse Spark 1.3 measured
Vibe Code Bench (Vals AI)0.4%82.9%Muse Spark 1.3
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)80.1%Not measuredOnly Gemini 2.5 Pro measured
SciCode46.3%59.7%Muse Spark 1.3
Terminal-Bench Hard (Artificial Analysis run)26.5%Not measuredOnly Gemini 2.5 Pro measured
Terminal-Bench32.6%Not measuredOnly Gemini 2.5 Pro measured
FrontierSWENot measured25.8%Only Muse Spark 1.3 measured
GSO-Bench3.9%Not measuredOnly Gemini 2.5 Pro measured
WeirdML54.0%Not measuredOnly Gemini 2.5 Pro measured
ALE-BenchNot measured1688.3Only Muse Spark 1.3 measured
LMArena Text: coding14521510Muse Spark 1.3
LMArena Text: software and IT14591511Muse Spark 1.3
LMArena WebDev: ReactNot measured1672Only Muse Spark 1.3 measured
LMArena WebDev: HTML12351653Muse Spark 1.3
LMArena WebDev: from an image12851640Muse Spark 1.3
Neither model has a result on the other 14 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemini 2.5 Pro and Muse Spark 1.3
BenchmarkGemini 2.5 ProMuse Spark 1.3Leader
AA Intelligence Index16.148.1Muse Spark 1.3
Epoch Capabilities Index145.1157.2Muse Spark 1.3
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Gemini 2.5 Pro and Muse Spark 1.3
BenchmarkGemini 2.5 ProMuse Spark 1.3Leader
AA Agentic Index1.655.5Muse Spark 1.3
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 measured1216Only Muse Spark 1.3 measured
Design Arena: agents building Godot gamesNot measured1241Only Muse Spark 1.3 measured
Design Arena: PowerPoint slidesNot measured1220Only Muse Spark 1.3 measured
Design Arena: spreadsheetsNot measured1076Only 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 Telecom54.1%Not measuredOnly Gemini 2.5 Pro measured
APEX-AgentsNot measured58.6%Only Muse Spark 1.3 measured
GDPval23.3%Not measuredOnly Gemini 2.5 Pro measured
DeepResearch Bench41.5%Not measuredOnly Gemini 2.5 Pro measured
Vending-Bench 2$574Not measuredOnly Gemini 2.5 Pro measured
BrowseComp-Plus29.5%Not measuredOnly Gemini 2.5 Pro 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 Pro and Muse Spark 1.3
BenchmarkGemini 2.5 ProMuse Spark 1.3Leader
LiveBench reasoningNot measured89.7%Only Muse Spark 1.3 measured
GPQA Diamond (Artificial Analysis run)84.4%94.1%Muse Spark 1.3
Humanity's Last Exam (Artificial Analysis run)22.5%48.7%Muse Spark 1.3
GPQA Diamond (Epoch AI run)85.3%Not measuredOnly Gemini 2.5 Pro measured
ARC-AGI41.0%Not measuredOnly Gemini 2.5 Pro measured
ARC-AGI-24.9%Not measuredOnly Gemini 2.5 Pro 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 prompts14551503Muse Spark 1.3
LMArena Text: expert14521519Muse Spark 1.3
LMArena Text: hard prompts in English14531500Muse Spark 1.3
LMArena Vision: diagrams12741330Muse Spark 1.3
LMArena Vision: homework12811296Muse Spark 1.3
Kagi LLM Benchmark70.3%Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index05
Math benchmarks for Gemini 2.5 Pro and Muse Spark 1.3
BenchmarkGemini 2.5 ProMuse Spark 1.3Leader
AA Math Index87.7Not measuredOnly Gemini 2.5 Pro measured
AIME 2025 (Artificial Analysis run)87.7%Not measuredOnly Gemini 2.5 Pro measured
OTIS Mock AIME84.7%99.2%Muse Spark 1.3
FrontierMath, tiers 1 to 324.6%74.4%Muse Spark 1.3
FrontierMath, tier 40.0%46.3%Muse Spark 1.3
ProofBenchNot measured58.0%Only Muse Spark 1.3 measured
LMArena Text: math14501497Muse Spark 1.3
LMArena Text: mathematical work14541491Muse 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 Pro and Muse Spark 1.3
BenchmarkGemini 2.5 ProMuse Spark 1.3Leader
CaseLaw (Vals AI)63.9%Not measuredOnly Gemini 2.5 Pro measured
CorpFin (Vals AI)60.8%Not measuredOnly Gemini 2.5 Pro measured
MortgageTax (Vals AI)68.9%Not measuredOnly Gemini 2.5 Pro measured
MedCode (Vals AI)50.6%Not measuredOnly Gemini 2.5 Pro measured
MMLU Pro (Artificial Analysis run)86.2%Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: science14801507Muse Spark 1.3
LMArena Text: medicine and healthcare14761493Muse Spark 1.3
LMArena Text: legal and government14801499Muse Spark 1.3
LMArena Text: business and finance14391490Muse Spark 1.3
FACTS Benchmark Suite61.5%Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 8 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index06
Web design benchmarks for Gemini 2.5 Pro and Muse Spark 1.3
BenchmarkGemini 2.5 ProMuse Spark 1.3Leader
Design Arena: websites11671356Muse Spark 1.3
Design Arena: UI components11371350Muse Spark 1.3
Design Arena: game dev11111328Muse Spark 1.3
Design Arena: data viz12221344Muse Spark 1.3
Design Arena: 3D10801358Muse Spark 1.3
Design Arena: all code categories11521352Muse Spark 1.3
Design Arena: SVGNot measured1301Only Muse Spark 1.3 measured
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 Pro and Muse Spark 1.3
BenchmarkGemini 2.5 ProMuse Spark 1.3Leader
LiveBench data analysisNot measured79.6%Only Muse Spark 1.3 measured
SAGE (Vals AI)41.9%Not measuredOnly Gemini 2.5 Pro measured
MedScribe (Vals AI)73.5%Not measuredOnly Gemini 2.5 Pro measured
IFBench48.7%Not measuredOnly Gemini 2.5 Pro measured
Long context reasoning (AA-LCR)69.0%83.0%Muse Spark 1.3
DTBench82.4%96.5%Muse Spark 1.3
LMCA34.8%53.9%Muse Spark 1.3
Creative writing (Lech Mazur)83.8%Not measuredOnly Gemini 2.5 Pro measured
LMArena Text14581490Muse Spark 1.3
LMArena Text: instruction following14371479Muse Spark 1.3
LMArena Text: creative writing14541462Muse Spark 1.3
LMArena Vision12631308Muse Spark 1.3
LMArena Text: English14581495Muse Spark 1.3
LMArena Text: non-English14521481Muse Spark 1.3
LMArena Text: Chinese15071532Muse Spark 1.3
LMArena Text: German14871513Muse Spark 1.3
LMArena Text: Japanese14611470Muse Spark 1.3
LMArena Text: Korean14341490Muse Spark 1.3
LMArena Text: French14731511Muse Spark 1.3
LMArena Text: Spanish14741496Muse Spark 1.3
LMArena Text: Russian14611491Muse Spark 1.3
LMArena Text: Polish14791490Muse Spark 1.3
LMArena Text: multi-turn14531487Muse Spark 1.3
LMArena Text: longer queries14491488Muse Spark 1.3
LMArena Text: writing and language14541470Muse Spark 1.3
LMArena Text: entertainment and media14411457Muse Spark 1.3
LMArena Vision: English12611298Muse Spark 1.3
LMArena Vision: Chinese13001384Muse Spark 1.3
LMArena Vision: reading text12701319Muse Spark 1.3
LMArena Vision: humor12621293Muse Spark 1.3
LMArena Vision: captioning1304Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: recognizing things1283Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: creative writing12651296Muse Spark 1.3
LMArena Document1421Not measuredOnly Gemini 2.5 Pro 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 2.5 Pro and Muse Spark 1.3
BenchmarkGemini 2.5 ProMuse 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 Pro$0.0063Fits in one request
Muse Spark 1.3$0.0034Fits in one request

Muse Spark 1.3 costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Pro$0.092Fits in one request
Muse Spark 1.3$0.075Fits in one request

Muse Spark 1.3 costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Pro$0.350Fits in one request
Muse Spark 1.3$0.292Fits in one request

Muse Spark 1.3 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 Pro and Muse Spark 1.3
SpecificationGoogle Gemini 2.5 ProMeta Muse Spark 1.3
MakerGoogleMeta
WeightsNo public weights listedNo public weights listed
ReleasedJune 17, 2025September 2, 2026
Context window1.05M1.05M
Input $/Mtok$1.25$1.25
Output $/Mtok$10.00$4.25
Coding index19.157.4
Independent measurements behind it34
Cost per solved task$0.64Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Pro better than Muse Spark 1.3 for coding?

Pick Muse Spark 1.3 for coding: it scores 57.4 on the Vibe Coding Index against 19.1 for Gemini 2.5 Pro. Gemini 2.5 Pro is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

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

Gemini 2.5 Pro costs $1.25 per million input tokens and $10.00 per million output tokens; Muse Spark 1.3 costs $1.25 and $4.25. Cost per solved task is known for Gemini 2.5 Pro only.

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

Neither: both take 1.05M tokens.

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

59 benchmarks have a result for both models as of October 22, 2026. Gemini 2.5 Pro's coding index rests on 3 independent benchmarks and Muse Spark 1.3's on 4. 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-2-5-pro-vs-meta-muse-spark-1-3">LLMBenchmark.ai, Gemini 2.5 Pro vs Muse Spark 1.3</a></p>