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GPT-5 vs Muse Spark 1.3

Muse Spark 1.3 leads GPT-5 on coding, 57.4 to 38.8 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; 62 benchmarks have a result for both.

Replace GPT-5 Replace Muse Spark 1.3
GPT-5OpenAI
Coding
38.8
Overall
51.5
Output $/M
$10.00
0
Muse Spark 1.3Meta
Coding
57.4
Overall
68.6
Output $/M
$4.25
62
vs boards won of 62 shared

GPT-5 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 38.8 for GPT-5.

GPT-5 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Model AGPT-5OpenAI38.8/1003 independent benchmarks$0.39 per solved taskModel BMuse Spark 1.3Meta57.4/1004 independent benchmarksNo cost per solved task
Shared results
62
GPT-5 only
51
Muse Spark 1.3 only
30
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 1.3 57.4 from 4 benchmarks.
Widest category
Coding, 31.6 points apart on average over 7 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): GPT-5 20.1% against Muse Spark 1.3 82.9%, 62.8 points apart on a 0 to 100 scale.
Output price
GPT-5 $10.00 against Muse Spark 1.3 $4.25 per million output tokens, 2.4x apart.
Context window
GPT-5 takes 400K tokens, Muse Spark 1.3 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 1.3Ties
Coding07
Intelligence02
Reasoning09
Math06
Knowledge04
Web design08
General026
All shared boards062
CodingLike-for-likeSix of these boards feed the Vibe Coding Index07
Coding benchmarks for GPT-5 and Muse Spark 1.3
BenchmarkGPT-5Muse Spark 1.3Leader
Aider polyglot88.0%Not measuredOnly GPT-5 measured
SWE-bench Verified74.4%Not measuredOnly GPT-5 measured
LiveBench codingNot measured90.2%Only Muse Spark 1.3 measured
LMArena WebDev14181659Muse Spark 1.3
AA Coding Index37.875.8Muse Spark 1.3
LiveCodeBench (Vals AI)85.9%Not measuredOnly GPT-5 measured
SWE-bench Verified (Vals AI)69.0%Not measuredOnly GPT-5 measured
Terminal-Bench 4 (Vals AI)Not measured10.6%Only Muse Spark 1.3 measured
Vibe Code Bench (Vals AI)20.1%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)84.6%Not measuredOnly GPT-5 measured
SciCodeNot measured59.7%Only Muse Spark 1.3 measured
Terminal-Bench Hard (Artificial Analysis run)37.9%Not measuredOnly GPT-5 measured
Terminal-Bench49.6%Not measuredOnly GPT-5 measured
FrontierSWENot measured25.8%Only Muse Spark 1.3 measured
GSO-Bench6.9%Not measuredOnly GPT-5 measured
WeirdML60.7%Not measuredOnly GPT-5 measured
ALE-Bench807.61688.3Muse Spark 1.3
LMArena Text: coding14361510Muse Spark 1.3
LMArena Text: software and IT14201511Muse Spark 1.3
LMArena WebDev: ReactNot measured1672Only Muse Spark 1.3 measured
LMArena WebDev: HTML14271653Muse Spark 1.3
LMArena WebDev: from an imageNot measured1640Only Muse Spark 1.3 measured
SciCode0.0%Not measuredOnly GPT-5 measured
Neither model has a result on the other 11 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-5 and Muse Spark 1.3
BenchmarkGPT-5Muse Spark 1.3Leader
AA Intelligence Index23.048.1Muse Spark 1.3
Epoch Capabilities Index150.0157.2Muse Spark 1.3
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index23 boards, none shared
Agentic work benchmarks for GPT-5 and Muse Spark 1.3
BenchmarkGPT-5Muse 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 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 Telecom86.5%Not measuredOnly GPT-5 measured
APEX-AgentsNot measured58.6%Only Muse Spark 1.3 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
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 index09
Reasoning benchmarks for GPT-5 and Muse Spark 1.3
BenchmarkGPT-5Muse Spark 1.3Leader
GPQA Diamond85.6%Not measuredOnly GPT-5 measured
LiveBench reasoningNot measured89.7%Only Muse Spark 1.3 measured
MMMU Pro (Vals AI)81.5%Not measuredOnly GPT-5 measured
GPQA Diamond (Artificial Analysis run)85.4%94.1%Muse Spark 1.3
Humanity's Last Exam (Artificial Analysis run)28.5%48.7%Muse Spark 1.3
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%37.0%Muse Spark 1.3
Mystery game puzzles23.0%25.0%Muse Spark 1.3
EBR-bench12.7%Not measuredOnly GPT-5 measured
VPCT66.0%Not measuredOnly GPT-5 measured
LMArena Text: hard prompts14151503Muse Spark 1.3
LMArena Text: expert14191519Muse Spark 1.3
LMArena Text: hard prompts in English14191500Muse Spark 1.3
LMArena Vision: diagrams12521330Muse Spark 1.3
LMArena Vision: homework12781296Muse Spark 1.3
Kagi LLM Benchmark72.7%Not measuredOnly GPT-5 measured
Neither model has a result on the other 3 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index06
Math benchmarks for GPT-5 and Muse Spark 1.3
BenchmarkGPT-5Muse Spark 1.3Leader
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%99.2%Muse Spark 1.3
FrontierMath, tiers 1 to 355.4%74.4%Muse Spark 1.3
FrontierMath, tier 422.0%46.3%Muse Spark 1.3
ProofBench18.0%58.0%Muse Spark 1.3
MATH level 598.1%Not measuredOnly GPT-5 measured
LMArena Text: math14071497Muse Spark 1.3
LMArena Text: mathematical work14051491Muse Spark 1.3
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GPT-5 and Muse Spark 1.3
BenchmarkGPT-5Muse Spark 1.3Leader
MMLU Pro86.5%Not measuredOnly GPT-5 measured
LegalBench (Vals AI)86.0%Not measuredOnly GPT-5 measured
CaseLaw (Vals AI)66.5%Not measuredOnly GPT-5 measured
CorpFin (Vals AI)61.1%Not measuredOnly GPT-5 measured
TaxEval (Vals AI)73.4%Not measuredOnly GPT-5 measured
MortgageTax (Vals AI)65.5%Not measuredOnly GPT-5 measured
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%Not measuredOnly GPT-5 measured
GeoBench81.0%Not measuredOnly GPT-5 measured
LMArena Text: science14161507Muse Spark 1.3
LMArena Text: medicine and healthcare14131493Muse Spark 1.3
LMArena Text: legal and government14311499Muse Spark 1.3
LMArena Text: business and finance14001490Muse Spark 1.3
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 1.3
BenchmarkGPT-5Muse Spark 1.3Leader
Design Arena: websites11841356Muse Spark 1.3
Design Arena: UI components11771350Muse Spark 1.3
Design Arena: game dev11851328Muse Spark 1.3
Design Arena: data viz12221344Muse Spark 1.3
Design Arena: 3D10551358Muse Spark 1.3
Design Arena: all code categories11671352Muse Spark 1.3
Design Arena: SVG11881301Muse Spark 1.3
Design Arena: ASCII art11411280Muse Spark 1.3
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 GPT-5 and Muse Spark 1.3
BenchmarkGPT-5Muse Spark 1.3Leader
LiveBench data analysisNot measured79.6%Only Muse Spark 1.3 measured
SAGE (Vals AI)43.7%Not measuredOnly GPT-5 measured
MedScribe (Vals AI)83.7%Not measuredOnly GPT-5 measured
IFBench73.1%Not measuredOnly GPT-5 measured
Long context reasoning (AA-LCR)78.2%83.0%Muse Spark 1.3
DTBench90.7%96.5%Muse Spark 1.3
LMCA40.0%53.9%Muse Spark 1.3
Fiction.LiveBench97.2%Not measuredOnly GPT-5 measured
Creative writing (Lech Mazur)86.0%Not measuredOnly GPT-5 measured
LMArena Text14061490Muse Spark 1.3
LMArena Text: instruction following13881479Muse Spark 1.3
LMArena Text: creative writing13651462Muse Spark 1.3
LMArena Vision12321308Muse Spark 1.3
LMArena Text: English14091495Muse Spark 1.3
LMArena Text: non-English13971481Muse Spark 1.3
LMArena Text: Chinese14221532Muse Spark 1.3
LMArena Text: German14161513Muse Spark 1.3
LMArena Text: Japanese14091470Muse Spark 1.3
LMArena Text: Korean13601490Muse Spark 1.3
LMArena Text: French14091511Muse Spark 1.3
LMArena Text: Spanish13991496Muse Spark 1.3
LMArena Text: Russian14071491Muse Spark 1.3
LMArena Text: Polish14311490Muse Spark 1.3
LMArena Text: multi-turn14261487Muse Spark 1.3
LMArena Text: longer queries13991488Muse Spark 1.3
LMArena Text: writing and language13841470Muse Spark 1.3
LMArena Text: entertainment and media13791457Muse Spark 1.3
LMArena Vision: English12311298Muse Spark 1.3
LMArena Vision: Chinese12671384Muse Spark 1.3
LMArena Vision: reading text12461319Muse Spark 1.3
LMArena Vision: humor12191293Muse Spark 1.3
LMArena Vision: captioning1212Not measuredOnly GPT-5 measured
LMArena Vision: recognizing things1263Not measuredOnly GPT-5 measured
LMArena Vision: creative writing12101296Muse Spark 1.3
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 GPT-5 and Muse Spark 1.3
BenchmarkGPT-5Muse 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

GPT-5$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

GPT-5$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

GPT-5$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 GPT-5 and Muse Spark 1.3
SpecificationOpenAI GPT-5Meta Muse Spark 1.3
MakerOpenAIMeta
WeightsNo public weights listedNo public weights listed
ReleasedAugust 7, 2025September 2, 2026
Context window400K1.05M
Input $/Mtok$1.25$1.25
Output $/Mtok$10.00$4.25
Coding index38.857.4
Independent measurements behind it34
Cost per solved task$0.39Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5 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 38.8 for GPT-5. GPT-5 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Which is cheaper, GPT-5 or Muse Spark 1.3?

GPT-5 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 GPT-5 only.

Which has the bigger context window, GPT-5 or Muse Spark 1.3?

Muse Spark 1.3, with 1.05M tokens against 400K.

How many benchmarks is the GPT-5 vs Muse Spark 1.3 comparison based on?

62 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 1.3'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/gpt-5-vs-meta-muse-spark-1-3">LLMBenchmark.ai, GPT-5 vs Muse Spark 1.3</a></p>