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GPT-6 Sol vs Muse Spark 1.3

Updated October 21, 2026. 83 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-6 Sol Replace Muse Spark 1.3
GPT-6 SolOpenAI
Coding
82.8
Overall
47.6
Output $/M
$10.00
31
Muse Spark 1.3Meta
Coding
79.7
Overall
48.1
Output $/M
$4.25
52
vs boards won of 83 shared

Decision reading

Pick GPT-6 Sol for coding: it scores 82.8 on the Vibe Coding Index against 79.7 for Muse Spark 1.3.

Pick Muse Spark 1.3 when output tokens cost 2.4x less, or when what matters is SciCode or LMArena Text: coding, where it leads.

Model AGPT-6 SolOpenAI82.8/1002 independent benchmarksNo cost per solved taskModel BMuse Spark 1.3Meta79.7/1002 independent benchmarksNo cost per solved task
Shared results
83
GPT-6 Sol only
17
Muse Spark 1.3 only
9
Like-for-like categories
8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 Sol 82.8 from 2 benchmarks, Muse Spark 1.3 79.7 from 2 benchmarks.
Widest category
Knowledge, 19.1 points apart on average over 4 shared benchmarks.
Widest single gap
FrontierMath, tier 4: GPT-6 Sol 90.0% against Muse Spark 1.3 46.3%, 43.7 points apart on a 0 to 100 scale.
Output price
GPT-6 Sol $10.00 against Muse Spark 1.3 $4.25 per million output tokens, 2.4x apart.
Context window
GPT-6 Sol 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 SolBarsMuse Spark 1.3Ties
Coding133
Intelligence11
Agentic work57
Reasoning27
Math42
Knowledge04
Web design27
General421
All shared boards3152
CodingLike-for-likeFour of these boards feed the Vibe Coding Index133
Coding benchmarks for GPT-6 Sol and Muse Spark 1.3
BenchmarkGPT-6 SolMuse Spark 1.3Leader
LiveBench coding93.1%90.2%GPT-6 Sol
LMArena WebDev16831659GPT-6 Sol
AA Coding IndexNot measured75.8Only Muse Spark 1.3 measured
Terminal-Bench 4 (Vals AI)44.4%10.6%GPT-6 Sol
Vibe Code Bench (Vals AI)87.8%82.9%GPT-6 Sol
Code migration (Vals AI)57.2%27.6%GPT-6 Sol
ProgramBench (Vals AI)2.0%0.5%GPT-6 Sol
IOI (Vals AI)82.6%43.9%GPT-6 Sol
Terminal-Bench 2.1 (Vals AI)83.2%72.3%GPT-6 Sol
CyberBench (Vals AI)78.0%69.4%GPT-6 Sol
SciCode57.6%59.7%Muse Spark 1.3
FrontierCode49.3%Not measuredOnly GPT-6 Sol measured
FrontierSWENot measured25.8%Only Muse Spark 1.3 measured
ALE-Bench2462.01688.3GPT-6 Sol
LMArena Text: coding14481510Muse Spark 1.3
LMArena Text: software and IT14331511Muse Spark 1.3
LMArena WebDev: React16851672GPT-6 Sol
LMArena WebDev: HTML16851653GPT-6 Sol
LMArena WebDev: from an image16601640GPT-6 Sol
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
Intelligence benchmarks for GPT-6 Sol and Muse Spark 1.3
BenchmarkGPT-6 SolMuse Spark 1.3Leader
AA Intelligence Index47.648.1Muse Spark 1.3
Epoch Capabilities Index163.7157.2GPT-6 Sol
Agentic workLike-for-likePublic boards, shown as published, kept out of the index57
Agentic work benchmarks for GPT-6 Sol and Muse Spark 1.3
BenchmarkGPT-6 SolMuse Spark 1.3Leader
AA Agentic IndexNot measured55.5Only Muse Spark 1.3 measured
Design Arena: agents building web apps12321297Muse Spark 1.3
Design Arena: agents building full-stack apps12381295Muse Spark 1.3
Design Arena: agents building mobile apps12161217Muse Spark 1.3
Design Arena: agents building Godot gamesNot measured1241Only Muse Spark 1.3 measured
Design Arena: PowerPoint slidesNot measured1244Only Muse Spark 1.3 measured
Design Arena: spreadsheetsNot measured1048Only Muse Spark 1.3 measured
LiveBench research69.3%68.6%GPT-6 Sol
LiveBench browser92.0%80.0%GPT-6 Sol
LiveBench long agentic66.9%40.4%GPT-6 Sol
SREBench (Vals AI)30.5%Not measuredOnly GPT-6 Sol measured
Finance Agent (Vals AI)49.0%58.9%Muse Spark 1.3
Tax Agent Bench (Vals AI)15.0%36.0%Muse Spark 1.3
Legal Research Bench (Vals AI)28.9%40.9%Muse Spark 1.3
Excel Modeling Benchmark (Vals AI)71.5%62.7%GPT-6 Sol
BioMysteryBench (Vals AI)74.8%Not measuredOnly GPT-6 Sol measured
Terminal-Bench-Science (Vals AI)30.0%4.3%GPT-6 Sol
Vals Science Index45.0%Not measuredOnly GPT-6 Sol measured
APEX-Agents54.3%58.6%Muse Spark 1.3
SpireClimb7.5%Not measuredOnly GPT-6 Sol measured
Vending-Bench 2$14,428Not measuredOnly GPT-6 Sol measured
Neither model has a result on the other 18 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index27
Reasoning benchmarks for GPT-6 Sol and Muse Spark 1.3
BenchmarkGPT-6 SolMuse Spark 1.3Leader
LiveBench reasoning88.7%89.7%Muse Spark 1.3
MysteryMechanism (Vals AI)30.2%Not measuredOnly GPT-6 Sol measured
GPQA Diamond (Artificial Analysis run)Not measured94.1%Only Muse Spark 1.3 measured
Humanity's Last Exam (Artificial Analysis run)47.9%48.7%Muse Spark 1.3
GPQA Diamond (Epoch AI run)94.3%Not measuredOnly GPT-6 Sol measured
ARC-AGI95.5%Not measuredOnly GPT-6 Sol measured
ARC-AGI-289.6%Not measuredOnly GPT-6 Sol measured
Chess puzzles56.0%37.0%GPT-6 Sol
Mystery game puzzles56.0%25.0%GPT-6 Sol
EBR-bench53.3%Not measuredOnly GPT-6 Sol measured
LMArena Text: hard prompts14221503Muse Spark 1.3
LMArena Text: expert14371519Muse Spark 1.3
LMArena Text: hard prompts in English14201500Muse Spark 1.3
LMArena Vision: diagrams12701330Muse Spark 1.3
LMArena Vision: homework12861296Muse Spark 1.3
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index42
Math benchmarks for GPT-6 Sol and Muse Spark 1.3
BenchmarkGPT-6 SolMuse Spark 1.3Leader
OTIS Mock AIME100.0%99.2%GPT-6 Sol
FrontierMath, tiers 1 to 389.8%74.4%GPT-6 Sol
FrontierMath, tier 490.0%46.3%GPT-6 Sol
ProofBench83.0%58.0%GPT-6 Sol
LMArena Text: math14071497Muse Spark 1.3
LMArena Text: mathematical work14241491Muse Spark 1.3
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GPT-6 Sol and Muse Spark 1.3
BenchmarkGPT-6 SolMuse Spark 1.3Leader
MedCode (Vals AI)47.1%Not measuredOnly GPT-6 Sol measured
SimpleQA Verified60.7%Not measuredOnly GPT-6 Sol measured
LMArena Text: science13891507Muse Spark 1.3
LMArena Text: medicine and healthcare13661493Muse Spark 1.3
LMArena Text: legal and government13961499Muse Spark 1.3
LMArena Text: business and finance13801490Muse 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 index27
Web design benchmarks for GPT-6 Sol and Muse Spark 1.3
BenchmarkGPT-6 SolMuse Spark 1.3Leader
Design Arena: websites12921356Muse Spark 1.3
Design Arena: UI components12921352Muse Spark 1.3
Design Arena: game dev13131329Muse Spark 1.3
Design Arena: data viz12691343Muse Spark 1.3
Design Arena: 3D13221359Muse Spark 1.3
Design Arena: all code categories13011353Muse Spark 1.3
Design Arena: SVG13181300GPT-6 Sol
Design Arena: ASCII art12261280Muse Spark 1.3
LiveBench design82.2%74.8%GPT-6 Sol
GeneralLike-for-likePublic boards, shown as published, kept out of the index421
General benchmarks for GPT-6 Sol and Muse Spark 1.3
BenchmarkGPT-6 SolMuse Spark 1.3Leader
LiveBench data analysis81.2%79.6%GPT-6 Sol
Public Benefits Bench (Vals AI)56.6%Not measuredOnly GPT-6 Sol measured
SAGE (Vals AI)44.8%Not measuredOnly GPT-6 Sol measured
MedScribe (Vals AI)82.0%Not measuredOnly GPT-6 Sol measured
Long context reasoning (AA-LCR)83.7%83.0%GPT-6 Sol
DTBench97.3%96.5%GPT-6 Sol
LMCA59.1%53.9%GPT-6 Sol
Furniture assembly58.3%Not measuredOnly GPT-6 Sol measured
LMArena Text13981490Muse Spark 1.3
LMArena Text: instruction following14131479Muse Spark 1.3
LMArena Text: creative writing13781462Muse Spark 1.3
LMArena Vision12401308Muse Spark 1.3
LMArena Text: English13961495Muse Spark 1.3
LMArena Text: non-English13881481Muse Spark 1.3
LMArena Text: Chinese14121532Muse Spark 1.3
LMArena Text: German13791513Muse Spark 1.3
LMArena Text: Japanese13771470Muse Spark 1.3
LMArena Text: Korean13361490Muse Spark 1.3
LMArena Text: French13991511Muse Spark 1.3
LMArena Text: Spanish13871496Muse Spark 1.3
LMArena Text: Russian14021491Muse Spark 1.3
LMArena Text: Polish13721490Muse Spark 1.3
LMArena Text: multi-turn14141487Muse Spark 1.3
LMArena Text: longer queries14161488Muse Spark 1.3
LMArena Text: writing and language13891470Muse Spark 1.3
LMArena Text: entertainment and media13731457Muse Spark 1.3
LMArena Vision: English12291298Muse Spark 1.3
LMArena Vision: ChineseNot measured1384Only Muse Spark 1.3 measured
LMArena Vision: reading text12581319Muse Spark 1.3
LMArena Vision: humorNot measured1293Only Muse Spark 1.3 measured
LMArena Vision: creative writing12191296Muse Spark 1.3
Neither model has a result on the other 15 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-6 Sol and Muse Spark 1.3
BenchmarkGPT-6 SolMuse 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 Sol$0.0070Fits 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-6 Sol$0.130Fits 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-6 Sol$0.500Fits 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-6 Sol and Muse Spark 1.3
SpecificationOpenAI GPT-6 SolMeta Muse Spark 1.3
MakerOpenAIMeta
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 22, 2026September 2, 2026
Context window1.05M1.05M
Input $/Mtok$2.00$1.25
Output $/Mtok$10.00$4.25
Coding index82.879.7
Independent measurements behind it22
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick GPT-6 Sol for coding: it scores 82.8 on the Vibe Coding Index against 79.7 for Muse Spark 1.3. Pick Muse Spark 1.3 when output tokens cost 2.4x less, or when what matters is SciCode or LMArena Text: coding, where it leads.

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

GPT-6 Sol costs $2.00 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 neither of them.

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

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

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

83 benchmarks have a result for both models as of October 21, 2026. GPT-6 Sol's coding index rests on 2 independent benchmarks and Muse Spark 1.3's on 2. 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-sol-vs-meta-muse-spark-1-3" title="GPT-6 Sol 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-sol-vs-meta-muse-spark-1-3">LLMBenchmark.ai, GPT-6 Sol vs Muse Spark 1.3</a></p>