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GPT-5 vs Muse Spark 1.1

Muse Spark 1.1 leads GPT-5 on coding, 70.3 to 38.8 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; 69 benchmarks have a result for both.

Replace GPT-5 Replace Muse Spark 1.1
GPT-5OpenAI
Coding
38.8
Overall
51.5
Output $/M
$10.00
3
Muse Spark 1.1Meta
Coding
70.3
Overall
67.0
Output $/M
$4.25
65
vs boards won of 69 shared, 1 tied

GPT-5 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 38.8 for GPT-5.

Pick GPT-5 for a lower cost per solved task ($0.39 against $0.43) and work measured by Chess puzzles or LegalBench (Vals AI), where it leads.

Model AGPT-5OpenAI38.8/1003 independent benchmarks$0.39 per solved taskModel BMuse Spark 1.1Meta70.3/1003 independent benchmarks$0.43 per solved task
Shared results
69
GPT-5 only
44
Muse Spark 1.1 only
27
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
GPT-5 38.8 from 3 benchmarks, Muse Spark 1.1 70.3 from 3 benchmarks.
Widest category
Coding, 19.8 points apart on average over 8 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): GPT-5 20.1% against Muse Spark 1.1 72.2%, 52.1 points apart on a 0 to 100 scale.
Output price
GPT-5 $10.00 against Muse Spark 1.1 $4.25 per million output tokens, 2.4x apart.
Context window
GPT-5 takes 400K tokens, Muse Spark 1.1 1.05M.

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
CategoryGPT-5BarsMuse Spark 1.1Ties
Coding071 tie
Intelligence02
Reasoning19
Math03
Knowledge19
Web design08
General127
All shared boards3651 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index07
Coding benchmarks for GPT-5 and Muse Spark 1.1
BenchmarkGPT-5Muse Spark 1.1Leader
Aider polyglot88.0%Not measuredOnly GPT-5 measured
SWE-bench Verified74.4%Not measuredOnly GPT-5 measured
LMArena WebDev14181542Muse Spark 1.1
AA Coding Index37.871.3Muse Spark 1.1
LiveCodeBench (Vals AI)85.9%85.9%Tie
SWE-bench Verified (Vals AI)69.0%82.0%Muse Spark 1.1
Vibe Code Bench (Vals AI)20.1%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)84.6%Not measuredOnly GPT-5 measured
SciCodeNot measured58.8%Only Muse Spark 1.1 measured
Terminal-Bench Hard (Artificial Analysis run)37.9%Not measuredOnly GPT-5 measured
Terminal-Bench49.6%Not measuredOnly GPT-5 measured
GSO-Bench6.9%Not measuredOnly GPT-5 measured
WeirdML60.7%Not measuredOnly GPT-5 measured
ALE-Bench807.6Not measuredOnly GPT-5 measured
LMArena Text: coding14361498Muse Spark 1.1
LMArena Text: software and IT14201498Muse Spark 1.1
LMArena WebDev: ReactNot measured1532Only Muse Spark 1.1 measured
LMArena WebDev: HTML14271540Muse Spark 1.1
LMArena WebDev: from an imageNot measured1540Only Muse Spark 1.1 measured
SciCode0.0%Not measuredOnly GPT-5 measured
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-5 and Muse Spark 1.1
BenchmarkGPT-5Muse Spark 1.1Leader
AA Intelligence Index23.033.7Muse Spark 1.1
Epoch Capabilities Index150.0154.1Muse Spark 1.1
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index23 boards, none shared
Agentic work benchmarks for GPT-5 and Muse Spark 1.1
BenchmarkGPT-5Muse Spark 1.1Leader
AA Agentic IndexNot measured25.8Only Muse Spark 1.1 measured
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 measured1195Only Muse Spark 1.1 measured
Design Arena: PowerPoint slidesNot measured1155Only Muse Spark 1.1 measured
Design Arena: spreadsheetsNot measured1042Only 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 Telecom86.5%Not measuredOnly GPT-5 measured
APEX-AgentsNot measured31.8%Only Muse Spark 1.1 measured
METR time horizons69.6%Not measuredOnly GPT-5 measured
Remote Labor Index1.7%Not measuredOnly GPT-5 measured
GDPval34.8%Not measuredOnly GPT-5 measured
BALROG32.8%Not measuredOnly GPT-5 measured
DeepResearch Bench49.6%Not measuredOnly GPT-5 measured
Vending-Bench 2Not measured$6,520Only Muse Spark 1.1 measured
BrowseComp-Plus80.0%Not measuredOnly GPT-5 measured
Neither model has a result on the other 18 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index19
Reasoning benchmarks for GPT-5 and Muse Spark 1.1
BenchmarkGPT-5Muse Spark 1.1Leader
GPQA Diamond85.6%91.2%Muse Spark 1.1
MMMU Pro (Vals AI)81.5%86.6%Muse Spark 1.1
GPQA Diamond (Artificial Analysis run)85.4%89.8%Muse Spark 1.1
Humanity's Last Exam (Artificial Analysis run)28.5%46.2%Muse Spark 1.1
GPQA Diamond (Epoch AI run)86.2%Not measuredOnly GPT-5 measured
ARC-AGI65.7%Not measuredOnly GPT-5 measured
ARC-AGI-29.9%Not measuredOnly GPT-5 measured
SimpleBench56.7%Not measuredOnly GPT-5 measured
Chess puzzles36.0%34.0%GPT-5
Mystery game puzzles23.0%Not measuredOnly GPT-5 measured
EBR-bench12.7%Not measuredOnly GPT-5 measured
VPCT66.0%Not measuredOnly GPT-5 measured
LMArena Text: hard prompts14151485Muse Spark 1.1
LMArena Text: expert14191478Muse Spark 1.1
LMArena Text: hard prompts in English14191480Muse Spark 1.1
LMArena Vision: diagrams12521305Muse Spark 1.1
LMArena Vision: homework12781287Muse Spark 1.1
Kagi LLM Benchmark72.7%Not measuredOnly GPT-5 measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for GPT-5 and Muse Spark 1.1
BenchmarkGPT-5Muse Spark 1.1Leader
AIME93.4%Not measuredOnly GPT-5 measured
MATH 500 (Vals AI)96.0%Not measuredOnly GPT-5 measured
MGSM (Vals AI)92.8%Not measuredOnly GPT-5 measured
AA Math Index94.3Not measuredOnly GPT-5 measured
AIME 2025 (Artificial Analysis run)94.3%Not measuredOnly GPT-5 measured
OTIS Mock AIME91.4%Not measuredOnly GPT-5 measured
FrontierMath, tiers 1 to 355.4%Not measuredOnly GPT-5 measured
FrontierMath, tier 422.0%Not measuredOnly GPT-5 measured
ProofBench18.0%39.0%Muse Spark 1.1
MATH level 598.1%Not measuredOnly GPT-5 measured
LMArena Text: math14071482Muse Spark 1.1
LMArena Text: mathematical work14051487Muse Spark 1.1
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index19
Knowledge benchmarks for GPT-5 and Muse Spark 1.1
BenchmarkGPT-5Muse Spark 1.1Leader
MMLU Pro86.5%88.7%Muse Spark 1.1
LegalBench (Vals AI)86.0%85.0%GPT-5
CaseLaw (Vals AI)66.5%Not measuredOnly GPT-5 measured
CorpFin (Vals AI)61.1%71.3%Muse Spark 1.1
TaxEval (Vals AI)73.4%79.7%Muse Spark 1.1
MortgageTax (Vals AI)65.5%66.1%Muse Spark 1.1
MedQA (Vals AI)96.3%Not measuredOnly GPT-5 measured
MedCode (Vals AI)49.6%Not measuredOnly GPT-5 measured
MMLU Pro (Artificial Analysis run)87.1%Not measuredOnly GPT-5 measured
SimpleQA Verified50.1%57.8%Muse Spark 1.1
GeoBench81.0%Not measuredOnly GPT-5 measured
LMArena Text: science14161484Muse Spark 1.1
LMArena Text: medicine and healthcare14131479Muse Spark 1.1
LMArena Text: legal and government14311481Muse Spark 1.1
LMArena Text: business and finance14001470Muse Spark 1.1
FACTS Benchmark Suite56.5%Not measuredOnly GPT-5 measured
Neither model has a result on the other 2 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for GPT-5 and Muse Spark 1.1
BenchmarkGPT-5Muse Spark 1.1Leader
Design Arena: websites11841270Muse Spark 1.1
Design Arena: UI components11771289Muse Spark 1.1
Design Arena: game dev11851269Muse Spark 1.1
Design Arena: data viz12211268Muse Spark 1.1
Design Arena: 3D10551260Muse Spark 1.1
Design Arena: all code categories11671276Muse Spark 1.1
Design Arena: SVG11881235Muse Spark 1.1
Design Arena: ASCII art11411271Muse Spark 1.1
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index127
General benchmarks for GPT-5 and Muse Spark 1.1
BenchmarkGPT-5Muse Spark 1.1Leader
Public Benefits Bench (Vals AI)Not measured61.3%Only Muse Spark 1.1 measured
SAGE (Vals AI)43.7%45.6%Muse Spark 1.1
MedScribe (Vals AI)83.7%88.9%Muse Spark 1.1
Vals Multimodal IndexNot measured66.7%Only Muse Spark 1.1 measured
IFBench73.1%Not measuredOnly GPT-5 measured
Long context reasoning (AA-LCR)78.2%77.7%GPT-5
DTBench90.7%94.4%Muse Spark 1.1
LMCA40.0%49.9%Muse Spark 1.1
Fiction.LiveBench97.2%Not measuredOnly GPT-5 measured
Creative writing (Lech Mazur)86.0%Not measuredOnly GPT-5 measured
Surface Evolver BenchNot measured52.5%Only Muse Spark 1.1 measured
LMArena Text14061478Muse Spark 1.1
LMArena Text: instruction following13881457Muse Spark 1.1
LMArena Text: creative writing13651435Muse Spark 1.1
LMArena Vision12321293Muse Spark 1.1
LMArena Text: English14091478Muse Spark 1.1
LMArena Text: non-English13971471Muse Spark 1.1
LMArena Text: Chinese14221515Muse Spark 1.1
LMArena Text: German14161469Muse Spark 1.1
LMArena Text: Japanese14091450Muse Spark 1.1
LMArena Text: Korean13601459Muse Spark 1.1
LMArena Text: French14091492Muse Spark 1.1
LMArena Text: Spanish13991464Muse Spark 1.1
LMArena Text: Russian14071482Muse Spark 1.1
LMArena Text: Polish14311499Muse Spark 1.1
LMArena Text: multi-turn14261484Muse Spark 1.1
LMArena Text: longer queries13991462Muse Spark 1.1
LMArena Text: writing and language13841448Muse Spark 1.1
LMArena Text: entertainment and media13791438Muse Spark 1.1
LMArena Vision: English12311292Muse Spark 1.1
LMArena Vision: Chinese12671348Muse Spark 1.1
LMArena Vision: reading text12461301Muse Spark 1.1
LMArena Vision: humor12191288Muse Spark 1.1
LMArena Vision: captioning1212Not measuredOnly GPT-5 measured
LMArena Vision: recognizing things1263Not measuredOnly GPT-5 measured
LMArena Vision: creative writing12101253Muse Spark 1.1
LMArena DocumentNot measured1465Only Muse Spark 1.1 measured
Neither model has a result on the other 9 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5 and Muse Spark 1.1
BenchmarkGPT-5Muse 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

GPT-5$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

GPT-5$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

GPT-5$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 GPT-5 and Muse Spark 1.1
SpecificationOpenAI GPT-5Meta Muse Spark 1.1
MakerOpenAIMeta
WeightsNo public weights listedNo public weights listed
ReleasedAugust 7, 2025July 16, 2026
Context window400K1.05M
Input $/Mtok$1.25$1.25
Output $/Mtok$10.00$4.25
Coding index38.870.3
Independent measurements behind it33
Cost per solved task$0.39$0.43
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5 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 38.8 for GPT-5. Pick GPT-5 for a lower cost per solved task ($0.39 against $0.43) and work measured by Chess puzzles or LegalBench (Vals AI), where it leads.

Which is cheaper, GPT-5 or Muse Spark 1.1?

GPT-5 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, GPT-5 costs $0.39 and Muse Spark 1.1 $0.43.

Which has the bigger context window, GPT-5 or Muse Spark 1.1?

Muse Spark 1.1, with 1.05M tokens against 400K.

How many benchmarks is the GPT-5 vs Muse Spark 1.1 comparison based on?

69 benchmarks have a result for both models as of October 22, 2026. GPT-5'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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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gpt-5-vs-meta-muse-spark-1-1">LLMBenchmark.ai, GPT-5 vs Muse Spark 1.1</a></p>