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Gemini 2.5 Pro vs Muse Spark 1.1

Muse Spark 1.1 leads Gemini 2.5 Pro on coding, 70.3 to 19.1 on the Vibe Coding Index, and Muse Spark 1.1 costs 2.4x less per output token ($4.25 vs $10.00 per million). Updated October 22, 2026; 63 benchmarks have a result for both.

Replace Gemini 2.5 Pro Replace Muse Spark 1.1
Gemini 2.5 ProGoogle
Coding
19.1
Overall
41.8
Output $/M
$10.00
8
Muse Spark 1.1Meta
Coding
70.3
Overall
67.0
Output $/M
$4.25
55
vs boards won of 63 shared

Gemini 2.5 Pro or Muse Spark 1.1: which to pick

Pick Muse Spark 1.1 for coding: it scores 70.3 on the Vibe Coding Index against 19.1 for Gemini 2.5 Pro.

Pick Gemini 2.5 Pro for work measured by MortgageTax (Vals AI) or LMArena Text: creative writing, where it leads.

Model AGemini 2.5 ProGoogle19.1/1003 independent benchmarks$0.64 per solved taskModel BMuse Spark 1.1Meta70.3/1003 independent benchmarks$0.43 per solved task
Shared results
63
Gemini 2.5 Pro only
27
Muse Spark 1.1 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 1.1 70.3 from 3 benchmarks.
Widest category
Coding, 33.6 points apart on average over 9 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Gemini 2.5 Pro 0.4% against Muse Spark 1.1 72.2%, 71.8 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Pro $10.00 against Muse Spark 1.1 $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 1.1Ties
Coding09
Intelligence02
Agentic work02
Reasoning07
Math02
Knowledge15
Web design06
General722
All shared boards855
CodingLike-for-likeSix of these boards feed the Vibe Coding Index09
Coding benchmarks for Gemini 2.5 Pro and Muse Spark 1.1
BenchmarkGemini 2.5 ProMuse Spark 1.1Leader
SWE-bench Verified53.6%Not measuredOnly Gemini 2.5 Pro measured
LMArena WebDev12261542Muse Spark 1.1
AA Coding Index33.371.3Muse Spark 1.1
LiveCodeBench (Vals AI)Not measured85.9%Only Muse Spark 1.1 measured
SWE-bench Verified (Vals AI)54.4%82.0%Muse Spark 1.1
Vibe Code Bench (Vals AI)0.4%72.2%Muse Spark 1.1
Code migration (Vals AI)Not measured31.1%Only Muse Spark 1.1 measured
ProgramBench (Vals AI)Not measured0.0%Only Muse Spark 1.1 measured
Terminal-Bench 2.1 (Vals AI)Not measured69.3%Only Muse Spark 1.1 measured
SkillsBench (Vals AI)Not measured59.2%Only Muse Spark 1.1 measured
LiveCodeBench (Artificial Analysis run)80.1%Not measuredOnly Gemini 2.5 Pro measured
SciCode46.3%58.8%Muse Spark 1.1
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
GSO-Bench3.9%Not measuredOnly Gemini 2.5 Pro measured
WeirdML54.0%Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: coding14521498Muse Spark 1.1
LMArena Text: software and IT14591498Muse Spark 1.1
LMArena WebDev: ReactNot measured1532Only Muse Spark 1.1 measured
LMArena WebDev: HTML12351540Muse Spark 1.1
LMArena WebDev: from an image12851540Muse Spark 1.1
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemini 2.5 Pro and Muse Spark 1.1
BenchmarkGemini 2.5 ProMuse Spark 1.1Leader
AA Intelligence Index16.133.7Muse Spark 1.1
Epoch Capabilities Index145.1154.1Muse Spark 1.1
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for Gemini 2.5 Pro and Muse Spark 1.1
BenchmarkGemini 2.5 ProMuse Spark 1.1Leader
AA Agentic Index1.625.8Muse Spark 1.1
Design Arena: agents building web appsNot measured1207Only Muse Spark 1.1 measured
Design Arena: agents building full-stack appsNot measured1199Only Muse Spark 1.1 measured
Design Arena: agents building mobile appsNot measured1175Only Muse Spark 1.1 measured
Design Arena: agents building Android appsNot measured1178Only Muse Spark 1.1 measured
Design Arena: agents building Godot gamesNot measured1103Only Muse Spark 1.1 measured
Design Arena: agents building gamesNot measured1183Only Muse Spark 1.1 measured
Design Arena: HTML slidesNot measured1145Only Muse Spark 1.1 measured
Design Arena: PowerPoint slidesNot measured1134Only Muse Spark 1.1 measured
Design Arena: spreadsheetsNot measured1021Only Muse Spark 1.1 measured
Finance Agent (Vals AI)Not measured57.2%Only Muse Spark 1.1 measured
Legal Research Bench (Vals AI)Not measured38.0%Only Muse Spark 1.1 measured
Excel Modeling Benchmark (Vals AI)Not measured56.4%Only Muse Spark 1.1 measured
Time Horizon Index (Vals AI)Not measured1.7%Only Muse Spark 1.1 measured
τ²-Bench Telecom54.1%Not measuredOnly Gemini 2.5 Pro measured
APEX-AgentsNot measured31.8%Only Muse Spark 1.1 measured
GDPval23.3%Not measuredOnly Gemini 2.5 Pro measured
DeepResearch Bench41.5%Not measuredOnly Gemini 2.5 Pro measured
Vending-Bench 2$574$6,520Muse Spark 1.1
BrowseComp-Plus29.5%Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 21 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index07
Reasoning benchmarks for Gemini 2.5 Pro and Muse Spark 1.1
BenchmarkGemini 2.5 ProMuse Spark 1.1Leader
GPQA DiamondNot measured91.2%Only Muse Spark 1.1 measured
MMMU Pro (Vals AI)Not measured86.6%Only Muse Spark 1.1 measured
GPQA Diamond (Artificial Analysis run)84.4%89.8%Muse Spark 1.1
Humanity's Last Exam (Artificial Analysis run)22.5%46.2%Muse Spark 1.1
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 measured34.0%Only Muse Spark 1.1 measured
LMArena Text: hard prompts14551485Muse Spark 1.1
LMArena Text: expert14521478Muse Spark 1.1
LMArena Text: hard prompts in English14531480Muse Spark 1.1
LMArena Vision: diagrams12741305Muse Spark 1.1
LMArena Vision: homework12811287Muse Spark 1.1
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 index02
Math benchmarks for Gemini 2.5 Pro and Muse Spark 1.1
BenchmarkGemini 2.5 ProMuse Spark 1.1Leader
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%Not measuredOnly Gemini 2.5 Pro measured
FrontierMath, tiers 1 to 324.6%Not measuredOnly Gemini 2.5 Pro measured
FrontierMath, tier 40.0%Not measuredOnly Gemini 2.5 Pro measured
ProofBenchNot measured39.0%Only Muse Spark 1.1 measured
LMArena Text: math14501482Muse Spark 1.1
LMArena Text: mathematical work14541487Muse Spark 1.1
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index15
Knowledge benchmarks for Gemini 2.5 Pro and Muse Spark 1.1
BenchmarkGemini 2.5 ProMuse Spark 1.1Leader
MMLU ProNot measured88.7%Only Muse Spark 1.1 measured
LegalBench (Vals AI)Not measured85.0%Only Muse Spark 1.1 measured
CaseLaw (Vals AI)63.9%Not measuredOnly Gemini 2.5 Pro measured
CorpFin (Vals AI)60.8%71.3%Muse Spark 1.1
TaxEval (Vals AI)Not measured79.7%Only Muse Spark 1.1 measured
MortgageTax (Vals AI)68.9%66.1%Gemini 2.5 Pro
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
SimpleQA VerifiedNot measured57.8%Only Muse Spark 1.1 measured
LMArena Text: science14801484Muse Spark 1.1
LMArena Text: medicine and healthcare14761479Muse Spark 1.1
LMArena Text: legal and government14801481Muse Spark 1.1
LMArena Text: business and finance14391470Muse Spark 1.1
FACTS Benchmark Suite61.5%Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 4 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 1.1
BenchmarkGemini 2.5 ProMuse Spark 1.1Leader
Design Arena: websites11671270Muse Spark 1.1
Design Arena: UI components11371287Muse Spark 1.1
Design Arena: game dev11111269Muse Spark 1.1
Design Arena: data viz12221267Muse Spark 1.1
Design Arena: 3D10801259Muse Spark 1.1
Design Arena: all code categories11521276Muse Spark 1.1
Design Arena: SVGNot measured1234Only Muse Spark 1.1 measured
Design Arena: ASCII artNot measured1269Only Muse Spark 1.1 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index722
General benchmarks for Gemini 2.5 Pro and Muse Spark 1.1
BenchmarkGemini 2.5 ProMuse Spark 1.1Leader
Public Benefits Bench (Vals AI)Not measured61.3%Only Muse Spark 1.1 measured
SAGE (Vals AI)41.9%45.6%Muse Spark 1.1
MedScribe (Vals AI)73.5%88.9%Muse Spark 1.1
Vals Multimodal IndexNot measured66.7%Only Muse Spark 1.1 measured
IFBench48.7%Not measuredOnly Gemini 2.5 Pro measured
Long context reasoning (AA-LCR)69.0%77.7%Muse Spark 1.1
DTBench82.4%94.4%Muse Spark 1.1
LMCA34.8%49.9%Muse Spark 1.1
Creative writing (Lech Mazur)83.8%Not measuredOnly Gemini 2.5 Pro measured
Surface Evolver BenchNot measured52.5%Only Muse Spark 1.1 measured
LMArena Text14581478Muse Spark 1.1
LMArena Text: instruction following14371457Muse Spark 1.1
LMArena Text: creative writing14541435Gemini 2.5 Pro
LMArena Vision12631293Muse Spark 1.1
LMArena Text: English14581478Muse Spark 1.1
LMArena Text: non-English14521471Muse Spark 1.1
LMArena Text: Chinese15071515Muse Spark 1.1
LMArena Text: German14871469Gemini 2.5 Pro
LMArena Text: Japanese14611450Gemini 2.5 Pro
LMArena Text: Korean14341459Muse Spark 1.1
LMArena Text: French14731492Muse Spark 1.1
LMArena Text: Spanish14741464Gemini 2.5 Pro
LMArena Text: Russian14611482Muse Spark 1.1
LMArena Text: Polish14791499Muse Spark 1.1
LMArena Text: multi-turn14531484Muse Spark 1.1
LMArena Text: longer queries14491462Muse Spark 1.1
LMArena Text: writing and language14541448Gemini 2.5 Pro
LMArena Text: entertainment and media14411438Gemini 2.5 Pro
LMArena Vision: English12611292Muse Spark 1.1
LMArena Vision: Chinese13001348Muse Spark 1.1
LMArena Vision: reading text12701301Muse Spark 1.1
LMArena Vision: humor12621288Muse Spark 1.1
LMArena Vision: captioning1304Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: recognizing things1283Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: creative writing12651253Gemini 2.5 Pro
LMArena Document14211465Muse Spark 1.1
Neither model has a result on the other 10 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 1.1
BenchmarkGemini 2.5 ProMuse Spark 1.1Leader
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 1.1$0.0034Fits in one request

Muse Spark 1.1 costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Pro$0.092Fits in one request
Muse Spark 1.1$0.075Fits in one request

Muse Spark 1.1 costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Pro$0.350Fits in one request
Muse Spark 1.1$0.292Fits in one request

Muse Spark 1.1 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 1.1
SpecificationGoogle Gemini 2.5 ProMeta Muse Spark 1.1
MakerGoogleMeta
WeightsNo public weights listedNo public weights listed
ReleasedJune 17, 2025July 16, 2026
Context window1.05M1.05M
Input $/Mtok$1.25$1.25
Output $/Mtok$10.00$4.25
Coding index19.170.3
Independent measurements behind it33
Cost per solved task$0.64$0.43
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Pro better than Muse Spark 1.1 for coding?

Pick Muse Spark 1.1 for coding: it scores 70.3 on the Vibe Coding Index against 19.1 for Gemini 2.5 Pro. Pick Gemini 2.5 Pro for work measured by MortgageTax (Vals AI) or LMArena Text: creative writing, where it leads.

Which is cheaper, Gemini 2.5 Pro or Muse Spark 1.1?

Gemini 2.5 Pro costs $1.25 per million input tokens and $10.00 per million output tokens; Muse Spark 1.1 costs $1.25 and $4.25. Per solved SWE-bench Verified task, Gemini 2.5 Pro costs $0.64 and Muse Spark 1.1 $0.43.

Which has the bigger context window, Gemini 2.5 Pro or Muse Spark 1.1?

Neither: both take 1.05M tokens.

How many benchmarks is the Gemini 2.5 Pro vs Muse Spark 1.1 comparison based on?

63 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 1.1's on 3. 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-2-5-pro-vs-meta-muse-spark-1-1" title="Gemini 2.5 Pro vs Muse Spark 1.1, 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-2-5-pro-vs-meta-muse-spark-1-1">LLMBenchmark.ai, Gemini 2.5 Pro vs Muse Spark 1.1</a></p>