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GPT-6 Luna vs Muse Spark 1.3

Muse Spark 1.3 leads GPT-6 Luna on coding, 57.4 to 57.3 on the Vibe Coding Index, and GPT-6 Luna costs 8.5x less per output token ($0.50 vs $4.25 per million). Updated October 22, 2026; 85 benchmarks have a result for both.

Replace GPT-6 Luna Replace Muse Spark 1.3
GPT-6 LunaOpenAI
Coding
57.3
Overall
59.7
Output $/M
$0.50
12
Muse Spark 1.3Meta
Coding
57.4
Overall
68.6
Output $/M
$4.25
71
vs boards won of 85 shared, 2 tied

GPT-6 Luna or Muse Spark 1.3: which to pick

GPT-6 Luna and Muse Spark 1.3 are level for coding, 57.3 against 57.4 on the Vibe Coding Index, so price and context decide.

Pick GPT-6 Luna for output tokens 8.5x cheaper ($0.50 vs $4.25 per million) and a larger context window (1.05M against 1.05M tokens). Pick Muse Spark 1.3 for work measured by LiveBench coding or LMArena WebDev, where it leads.

Model AGPT-6 LunaOpenAI57.3/1005 independent benchmarksNo cost per solved taskModel BMuse Spark 1.3Meta57.4/1004 independent benchmarksNo cost per solved task
Shared results
85
GPT-6 Luna only
19
Muse Spark 1.3 only
11
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
GPT-6 Luna 57.3 from 5 benchmarks, Muse Spark 1.3 57.4 from 4 benchmarks.
Widest category
Knowledge, 19.2 points apart on average over 5 shared benchmarks.
Widest single gap
LiveBench research: GPT-6 Luna 43.5% against Muse Spark 1.3 68.6%, 25.1 points apart on a 0 to 100 scale.
Output price
GPT-6 Luna $0.50 against Muse Spark 1.3 $4.25 per million output tokens, 8.5x apart.
Context window
GPT-6 Luna takes 1.05M 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-6 LunaBarsMuse Spark 1.3Ties
Coding5101 tie
Intelligence02
Agentic work291 tie
Reasoning09
Math33
Knowledge05
Web design18
General125
All shared boards12712 ties
CodingLike-for-likeSix of these boards feed the Vibe Coding Index510
Coding benchmarks for GPT-6 Luna and Muse Spark 1.3
BenchmarkGPT-6 LunaMuse Spark 1.3Leader
LiveBench coding84.5%90.2%Muse Spark 1.3
LMArena WebDev15781659Muse Spark 1.3
AA Coding IndexNot measured75.8Only Muse Spark 1.3 measured
Terminal-Bench 4 (Vals AI)13.6%10.6%GPT-6 Luna
Vibe Code Bench (Vals AI)81.7%82.9%Muse Spark 1.3
Code migration (Vals AI)42.5%27.6%GPT-6 Luna
ProgramBench (Vals AI)0.5%0.5%Tie
IOI (Vals AI)55.6%43.9%GPT-6 Luna
Terminal-Bench 2.1 (Vals AI)73.0%72.3%GPT-6 Luna
SWE-bench Multimodal (Vals AI)37.5%Not measuredOnly GPT-6 Luna measured
CyberBench (Vals AI)76.3%69.4%GPT-6 Luna
SciCode54.6%59.7%Muse Spark 1.3
FrontierCode42.4%Not measuredOnly GPT-6 Luna measured
FrontierSWENot measured25.8%Only Muse Spark 1.3 measured
ALE-Bench1576.91688.3Muse Spark 1.3
LMArena Text: coding14371510Muse Spark 1.3
LMArena Text: software and IT14231511Muse Spark 1.3
LMArena WebDev: React15731672Muse Spark 1.3
LMArena WebDev: HTML15951653Muse Spark 1.3
LMArena WebDev: from an image15711640Muse Spark 1.3
Neither model has a result on the other 23 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-6 Luna and Muse Spark 1.3
BenchmarkGPT-6 LunaMuse Spark 1.3Leader
AA Intelligence Index38.148.1Muse Spark 1.3
Epoch Capabilities Index156.8157.2Muse Spark 1.3
Agentic workLike-for-likePublic boards, shown as published, kept out of the index29
Agentic work benchmarks for GPT-6 Luna and Muse Spark 1.3
BenchmarkGPT-6 LunaMuse Spark 1.3Leader
AA Agentic IndexNot measured55.5Only Muse Spark 1.3 measured
Design Arena: agents building web apps11911297Muse Spark 1.3
Design Arena: agents building full-stack apps11581295Muse Spark 1.3
Design Arena: agents building mobile apps11311217Muse Spark 1.3
Design Arena: agents building Godot gamesNot measured1241Only Muse Spark 1.3 measured
Design Arena: PowerPoint slidesNot measured1217Only Muse Spark 1.3 measured
Design Arena: spreadsheetsNot measured1075Only Muse Spark 1.3 measured
LiveBench research43.5%68.6%Muse Spark 1.3
LiveBench browser72.0%80.0%Muse Spark 1.3
LiveBench long agentic48.1%40.4%GPT-6 Luna
SREBench (Vals AI)2.7%Not measuredOnly GPT-6 Luna measured
Finance Agent (Vals AI)49.9%58.9%Muse Spark 1.3
Tax Agent Bench (Vals AI)19.9%36.0%Muse Spark 1.3
Legal Research Bench (Vals AI)30.3%40.9%Muse Spark 1.3
Harvey's Legal Agent Benchmark (Vals AI)4.2%Not measuredOnly GPT-6 Luna measured
Excel Modeling Benchmark (Vals AI)68.5%62.7%GPT-6 Luna
BioMysteryBench (Vals AI)61.5%Not measuredOnly GPT-6 Luna measured
Terminal-Bench-Science (Vals AI)4.3%4.3%Tie
Vals Science Index28.4%Not measuredOnly GPT-6 Luna measured
APEX-Agents44.3%58.6%Muse Spark 1.3
SpireClimb0.0%Not measuredOnly GPT-6 Luna measured
Neither model has a result on the other 21 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index09
Reasoning benchmarks for GPT-6 Luna and Muse Spark 1.3
BenchmarkGPT-6 LunaMuse Spark 1.3Leader
LiveBench reasoning81.8%89.7%Muse Spark 1.3
MysteryMechanism (Vals AI)19.4%Not measuredOnly GPT-6 Luna measured
GPQA Diamond (Artificial Analysis run)Not measured94.1%Only Muse Spark 1.3 measured
Humanity's Last Exam (Artificial Analysis run)38.5%48.7%Muse Spark 1.3
GPQA Diamond (Epoch AI run)90.5%Not measuredOnly GPT-6 Luna measured
ARC-AGI86.7%Not measuredOnly GPT-6 Luna measured
ARC-AGI-259.3%Not measuredOnly GPT-6 Luna measured
Chess puzzles36.0%37.0%Muse Spark 1.3
Mystery game puzzles7.0%25.0%Muse Spark 1.3
LMArena Text: hard prompts14101503Muse Spark 1.3
LMArena Text: expert14421519Muse Spark 1.3
LMArena Text: hard prompts in English14101500Muse Spark 1.3
LMArena Vision: diagrams12451330Muse Spark 1.3
LMArena Vision: homework12611296Muse Spark 1.3
Humanity's Last Exam (Scale run)Not measured25.4%Only Muse Spark 1.3 measured
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index33
Math benchmarks for GPT-6 Luna and Muse Spark 1.3
BenchmarkGPT-6 LunaMuse Spark 1.3Leader
OTIS Mock AIME98.9%99.2%Muse Spark 1.3
FrontierMath, tiers 1 to 378.9%74.4%GPT-6 Luna
FrontierMath, tier 456.1%46.3%GPT-6 Luna
ProofBench64.0%58.0%GPT-6 Luna
LMArena Text: math14091497Muse Spark 1.3
LMArena Text: mathematical work14271491Muse Spark 1.3
MathArenaNot measured43.0%Only Muse Spark 1.3 measured
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for GPT-6 Luna and Muse Spark 1.3
BenchmarkGPT-6 LunaMuse Spark 1.3Leader
MedCode (Vals AI)44.7%Not measuredOnly GPT-6 Luna measured
SimpleQA Verified41.4%Not measuredOnly GPT-6 Luna measured
LMArena Text: science13861507Muse Spark 1.3
LMArena Text: medicine and healthcare13521493Muse Spark 1.3
LMArena Text: legal and government14001499Muse Spark 1.3
LMArena Text: business and finance13881490Muse Spark 1.3
FACTS Benchmark Suite63.3%Not measuredOnly GPT-6 Luna measured
PRBench FinanceNot measured59.5%Only Muse Spark 1.3 measured
PRBench Legal42.9%61.6%Muse 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 index18
Web design benchmarks for GPT-6 Luna and Muse Spark 1.3
BenchmarkGPT-6 LunaMuse Spark 1.3Leader
Design Arena: websites12711356Muse Spark 1.3
Design Arena: UI components12951350Muse Spark 1.3
Design Arena: game dev12581328Muse Spark 1.3
Design Arena: data viz12171344Muse Spark 1.3
Design Arena: 3D12181358Muse Spark 1.3
Design Arena: all code categories12701352Muse Spark 1.3
Design Arena: SVG12531301Muse Spark 1.3
Design Arena: ASCII art11531283Muse Spark 1.3
LiveBench design82.5%74.8%GPT-6 Luna
GeneralLike-for-likePublic boards, shown as published, kept out of the index125
General benchmarks for GPT-6 Luna and Muse Spark 1.3
BenchmarkGPT-6 LunaMuse Spark 1.3Leader
Vals Index52.3%Not measuredOnly GPT-6 Luna measured
LiveBench data analysis73.4%79.6%Muse Spark 1.3
Public Benefits Bench (Vals AI)57.6%Not measuredOnly GPT-6 Luna measured
SAGE (Vals AI)48.1%Not measuredOnly GPT-6 Luna measured
MedScribe (Vals AI)83.7%Not measuredOnly GPT-6 Luna measured
Long context reasoning (AA-LCR)83.3%83.0%GPT-6 Luna
DTBench90.1%96.5%Muse Spark 1.3
LMCA44.5%53.9%Muse Spark 1.3
Furniture assembly44.2%Not measuredOnly GPT-6 Luna measured
LMArena Text13891490Muse Spark 1.3
LMArena Text: instruction following14081479Muse Spark 1.3
LMArena Text: creative writing13631462Muse Spark 1.3
LMArena Vision12161308Muse Spark 1.3
LMArena Text: English13931495Muse Spark 1.3
LMArena Text: non-English13811481Muse Spark 1.3
LMArena Text: Chinese14271532Muse Spark 1.3
LMArena Text: German13761513Muse Spark 1.3
LMArena Text: Japanese13691470Muse Spark 1.3
LMArena Text: Korean13591490Muse Spark 1.3
LMArena Text: French14081511Muse Spark 1.3
LMArena Text: Spanish13911496Muse Spark 1.3
LMArena Text: Russian13921491Muse Spark 1.3
LMArena Text: Polish13831490Muse Spark 1.3
LMArena Text: multi-turn13921487Muse Spark 1.3
LMArena Text: longer queries14081488Muse Spark 1.3
LMArena Text: writing and language13841470Muse Spark 1.3
LMArena Text: entertainment and media13641457Muse Spark 1.3
LMArena Vision: English12041298Muse Spark 1.3
LMArena Vision: Chinese12661384Muse Spark 1.3
LMArena Vision: reading text12251319Muse Spark 1.3
LMArena Vision: humorNot measured1293Only Muse Spark 1.3 measured
LMArena Vision: creative writing12051296Muse Spark 1.3
Neither model has a result on the other 16 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-6 Luna and Muse Spark 1.3
BenchmarkGPT-6 LunaMuse 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-6 Luna$0.0003Fits in one request
Muse Spark 1.3$0.0034Fits in one request

GPT-6 Luna costs less

Repository review

50K input + 3K output tokens

GPT-6 Luna$0.0065Fits in one request
Muse Spark 1.3$0.075Fits in one request

GPT-6 Luna costs less

Agent loop

200K input + 10K output tokens

GPT-6 Luna$0.025Fits in one request
Muse Spark 1.3$0.292Fits in one request

GPT-6 Luna 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-6 Luna and Muse Spark 1.3
SpecificationOpenAI GPT-6 LunaMeta Muse Spark 1.3
MakerOpenAIMeta
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 22, 2026September 2, 2026
Context window1.05M1.05M
Input $/Mtok$0.10$1.25
Output $/Mtok$0.50$4.25
Coding index57.357.4
Independent measurements behind it54
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-6 Luna better than Muse Spark 1.3 for coding?

GPT-6 Luna and Muse Spark 1.3 are level for coding, 57.3 against 57.4 on the Vibe Coding Index, so price and context decide. Pick GPT-6 Luna for output tokens 8.5x cheaper ($0.50 vs $4.25 per million) and a larger context window (1.05M against 1.05M tokens). Pick Muse Spark 1.3 for work measured by LiveBench coding or LMArena WebDev, where it leads.

Which is cheaper, GPT-6 Luna or Muse Spark 1.3?

GPT-6 Luna costs $0.10 per million input tokens and $0.50 per million output tokens; Muse Spark 1.3 costs $1.25 and $4.25. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-6 Luna or Muse Spark 1.3?

GPT-6 Luna, with 1.05M tokens against 1.05M.

How many benchmarks is the GPT-6 Luna vs Muse Spark 1.3 comparison based on?

85 benchmarks have a result for both models as of October 22, 2026. GPT-6 Luna's coding index rests on 5 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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<iframe src="https://llmbenchmark.ai/embed/compare/gpt-6-luna-vs-meta-muse-spark-1-3" title="GPT-6 Luna vs Muse Spark 1.3, 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/gpt-6-luna-vs-meta-muse-spark-1-3">LLMBenchmark.ai, GPT-6 Luna vs Muse Spark 1.3</a></p>