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Claude Sonnet 4.6 vs Muse Spark 1.3

Updated October 21, 2026. 82 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Claude Sonnet 4.6 Replace Muse Spark 1.3
Claude Sonnet 4.6Anthropic
Coding
57.8
Overall
30.1
Output $/M
$15.00
3
Muse Spark 1.3Meta
Coding
79.7
Overall
48.1
Output $/M
$4.25
78
vs boards won of 82 shared, 1 tied

Decision reading

Pick Muse Spark 1.3 for coding: it scores 79.7 on the Vibe Coding Index against 57.8 for Claude Sonnet 4.6.

Pick Claude Sonnet 4.6 when what matters is Code migration (Vals AI) or LMArena Vision: homework, where it leads.

Model AClaude Sonnet 4.6Anthropic57.8/1002 independent benchmarks$1.68 per solved taskModel BMuse Spark 1.3Meta79.7/1002 independent benchmarksNo cost per solved task
Shared results
82
Claude Sonnet 4.6 only
35
Muse Spark 1.3 only
10
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
Claude Sonnet 4.6 57.8 from 2 benchmarks, Muse Spark 1.3 79.7 from 2 benchmarks.
Widest category
Coding, 12.5 points apart on average over 13 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Claude Sonnet 4.6 55.8% against Muse Spark 1.3 82.9%, 27.1 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 4.6 $15.00 against Muse Spark 1.3 $4.25 per million output tokens, 3.5x apart.
Context window
Claude Sonnet 4.6 takes 1M 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
CategoryClaude Sonnet 4.6BarsMuse Spark 1.3Ties
Coding1111 tie
Intelligence02
Agentic work013
Reasoning19
Math04
Knowledge04
Web design09
General126
All shared boards3781 tie
CodingLike-for-likeFour of these boards feed the Vibe Coding Index111
Coding benchmarks for Claude Sonnet 4.6 and Muse Spark 1.3
BenchmarkClaude Sonnet 4.6Muse Spark 1.3Leader
LiveBench coding66.6%90.2%Muse Spark 1.3
LMArena WebDev15231659Muse Spark 1.3
AA Coding Index63.075.8Muse Spark 1.3
LiveCodeBench (Vals AI)82.1%Not measuredOnly Claude Sonnet 4.6 measured
SWE-bench Verified (Vals AI)77.4%Not measuredOnly Claude Sonnet 4.6 measured
Terminal-Bench 4 (Vals AI)Not measured10.6%Only Muse Spark 1.3 measured
Vibe Code Bench (Vals AI)55.8%82.9%Muse Spark 1.3
Code migration (Vals AI)39.9%27.6%Claude Sonnet 4.6
ProgramBench (Vals AI)0.5%0.5%Tie
IOI (Vals AI)Not measured43.9%Only Muse Spark 1.3 measured
Terminal-Bench 2.1 (Vals AI)57.3%72.3%Muse Spark 1.3
SkillsBench (Vals AI)49.0%Not measuredOnly Claude Sonnet 4.6 measured
CyberBench (Vals AI)Not measured69.4%Only Muse Spark 1.3 measured
SciCode50.1%59.7%Muse Spark 1.3
Terminal-Bench Hard (Artificial Analysis run)53.0%Not measuredOnly Claude Sonnet 4.6 measured
Terminal-Bench53.4%Not measuredOnly Claude Sonnet 4.6 measured
FrontierCode24.3%Not measuredOnly Claude Sonnet 4.6 measured
FrontierSWENot measured25.8%Only Muse Spark 1.3 measured
WeirdML66.1%Not measuredOnly Claude Sonnet 4.6 measured
ALE-BenchNot measured1688.3Only Muse Spark 1.3 measured
LMArena Text: coding15031510Muse Spark 1.3
LMArena Text: software and IT14911511Muse Spark 1.3
LMArena WebDev: React15121672Muse Spark 1.3
LMArena WebDev: HTML15271653Muse Spark 1.3
LMArena WebDev: from an image15291640Muse Spark 1.3
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Claude Sonnet 4.6 and Muse Spark 1.3
BenchmarkClaude Sonnet 4.6Muse Spark 1.3Leader
AA Intelligence Index30.148.1Muse Spark 1.3
Epoch Capabilities Index152.8157.2Muse Spark 1.3
Agentic workLike-for-likePublic boards, shown as published, kept out of the index013
Agentic work benchmarks for Claude Sonnet 4.6 and Muse Spark 1.3
BenchmarkClaude Sonnet 4.6Muse Spark 1.3Leader
AA Agentic Index31.855.5Muse Spark 1.3
Design Arena: agents building web apps11901297Muse Spark 1.3
Design Arena: agents building full-stack apps12131295Muse Spark 1.3
Design Arena: agents building mobile apps12121217Muse Spark 1.3
Design Arena: agents building Android apps1202Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building Godot games12261241Muse Spark 1.3
Design Arena: agents building games1177Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: PowerPoint slidesNot measured1244Only Muse Spark 1.3 measured
Design Arena: spreadsheetsNot measured1048Only Muse Spark 1.3 measured
LiveBench research63.6%68.6%Muse Spark 1.3
LiveBench browser68.0%80.0%Muse Spark 1.3
LiveBench long agentic23.1%40.4%Muse Spark 1.3
Finance Agent (Vals AI)51.0%58.9%Muse Spark 1.3
Tax Agent Bench (Vals AI)25.8%36.0%Muse Spark 1.3
Legal Research Bench (Vals AI)38.5%40.9%Muse Spark 1.3
Excel Modeling Benchmark (Vals AI)60.2%62.7%Muse Spark 1.3
Terminal-Bench-Science (Vals AI)Not measured4.3%Only Muse Spark 1.3 measured
τ²-Bench Telecom79.5%Not measuredOnly Claude Sonnet 4.6 measured
APEX-Agents43.0%58.6%Muse Spark 1.3
OSWorld 2.09.3%Not measuredOnly Claude Sonnet 4.6 measured
DeepResearch Bench54.9%Not measuredOnly Claude Sonnet 4.6 measured
OSWorld72.1%Not measuredOnly Claude Sonnet 4.6 measured
Vending-Bench 2$7,204Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 16 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index19
Reasoning benchmarks for Claude Sonnet 4.6 and Muse Spark 1.3
BenchmarkClaude Sonnet 4.6Muse Spark 1.3Leader
GPQA Diamond85.6%Not measuredOnly Claude Sonnet 4.6 measured
LiveBench reasoning86.4%89.7%Muse Spark 1.3
MMMU Pro (Vals AI)83.6%Not measuredOnly Claude Sonnet 4.6 measured
GPQA Diamond (Artificial Analysis run)87.5%94.1%Muse Spark 1.3
Humanity's Last Exam (Artificial Analysis run)33.6%48.7%Muse Spark 1.3
GPQA Diamond (Epoch AI run)87.4%Not measuredOnly Claude Sonnet 4.6 measured
ARC-AGI86.5%Not measuredOnly Claude Sonnet 4.6 measured
ARC-AGI-260.4%Not measuredOnly Claude Sonnet 4.6 measured
Chess puzzles23.0%37.0%Muse Spark 1.3
Mystery game puzzles16.0%25.0%Muse Spark 1.3
LMArena Text: hard prompts14851503Muse Spark 1.3
LMArena Text: expert15001519Muse Spark 1.3
LMArena Text: hard prompts in English14931500Muse Spark 1.3
LMArena Vision: diagrams13061330Muse Spark 1.3
LMArena Vision: homework13111296Claude Sonnet 4.6
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index04
Math benchmarks for Claude Sonnet 4.6 and Muse Spark 1.3
BenchmarkClaude Sonnet 4.6Muse Spark 1.3Leader
AIME92.3%Not measuredOnly Claude Sonnet 4.6 measured
OTIS Mock AIME85.8%99.2%Muse Spark 1.3
FrontierMath, tiers 1 to 3Not measured74.4%Only Muse Spark 1.3 measured
FrontierMath, tier 4Not measured46.3%Only Muse Spark 1.3 measured
ProofBench45.0%58.0%Muse Spark 1.3
LMArena Text: math14621497Muse Spark 1.3
LMArena Text: mathematical work14831491Muse Spark 1.3
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Claude Sonnet 4.6 and Muse Spark 1.3
BenchmarkClaude Sonnet 4.6Muse Spark 1.3Leader
MMLU Pro87.3%Not measuredOnly Claude Sonnet 4.6 measured
LegalBench (Vals AI)82.1%Not measuredOnly Claude Sonnet 4.6 measured
CaseLaw (Vals AI)64.0%Not measuredOnly Claude Sonnet 4.6 measured
CorpFin (Vals AI)65.3%Not measuredOnly Claude Sonnet 4.6 measured
TaxEval (Vals AI)77.1%Not measuredOnly Claude Sonnet 4.6 measured
MortgageTax (Vals AI)67.7%Not measuredOnly Claude Sonnet 4.6 measured
MedQA (Vals AI)92.1%Not measuredOnly Claude Sonnet 4.6 measured
SimpleQA Verified35.5%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: science14741507Muse Spark 1.3
LMArena Text: medicine and healthcare14511493Muse Spark 1.3
LMArena Text: legal and government14701499Muse Spark 1.3
LMArena Text: business and finance14641490Muse Spark 1.3
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index09
Web design benchmarks for Claude Sonnet 4.6 and Muse Spark 1.3
BenchmarkClaude Sonnet 4.6Muse Spark 1.3Leader
Design Arena: websites12851356Muse Spark 1.3
Design Arena: UI components12711352Muse Spark 1.3
Design Arena: game dev12591329Muse Spark 1.3
Design Arena: data viz12781343Muse Spark 1.3
Design Arena: 3D12341359Muse Spark 1.3
Design Arena: all code categories12761353Muse Spark 1.3
Design Arena: SVG11961300Muse Spark 1.3
Design Arena: ASCII art12351280Muse Spark 1.3
LiveBench design71.8%74.8%Muse Spark 1.3
GeneralLike-for-likePublic boards, shown as published, kept out of the index126
General benchmarks for Claude Sonnet 4.6 and Muse Spark 1.3
BenchmarkClaude Sonnet 4.6Muse Spark 1.3Leader
LiveBench data analysis76.1%79.6%Muse Spark 1.3
Public Benefits Bench (Vals AI)62.5%Not measuredOnly Claude Sonnet 4.6 measured
SAGE (Vals AI)46.6%Not measuredOnly Claude Sonnet 4.6 measured
Vals Multimodal Index60.6%Not measuredOnly Claude Sonnet 4.6 measured
IFBench56.6%Not measuredOnly Claude Sonnet 4.6 measured
Long context reasoning (AA-LCR)80.0%83.0%Muse Spark 1.3
DTBench89.9%96.5%Muse Spark 1.3
LMCA46.5%53.9%Muse Spark 1.3
ExploitBench23.6%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text14581490Muse Spark 1.3
LMArena Text: instruction following14761479Muse Spark 1.3
LMArena Text: creative writing14351462Muse Spark 1.3
LMArena Vision12831308Muse Spark 1.3
LMArena Text: English14721495Muse Spark 1.3
LMArena Text: non-English14401481Muse Spark 1.3
LMArena Text: Chinese14911532Muse Spark 1.3
LMArena Text: German14281513Muse Spark 1.3
LMArena Text: Japanese14201470Muse Spark 1.3
LMArena Text: Korean14101490Muse Spark 1.3
LMArena Text: French14651511Muse Spark 1.3
LMArena Text: Spanish14641496Muse Spark 1.3
LMArena Text: Russian14401491Muse Spark 1.3
LMArena Text: Polish14431490Muse Spark 1.3
LMArena Text: multi-turn14641487Muse Spark 1.3
LMArena Text: longer queries14791488Muse Spark 1.3
LMArena Text: writing and language14441470Muse Spark 1.3
LMArena Text: entertainment and media14311457Muse Spark 1.3
LMArena Vision: English12981298Claude Sonnet 4.6
LMArena Vision: Chinese13071384Muse Spark 1.3
LMArena Vision: reading text12961319Muse Spark 1.3
LMArena Vision: humor12481293Muse Spark 1.3
LMArena Vision: recognizing things1195Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: creative writing12721296Muse Spark 1.3
LMArena Document1482Not measuredOnly Claude Sonnet 4.6 measured
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 Claude Sonnet 4.6 and Muse Spark 1.3
BenchmarkClaude Sonnet 4.6Muse 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

Claude Sonnet 4.6$0.011Fits 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

Claude Sonnet 4.6$0.195Fits 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

Claude Sonnet 4.6$0.750Fits 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 Claude Sonnet 4.6 and Muse Spark 1.3
SpecificationAnthropic Claude Sonnet 4.6Meta Muse Spark 1.3
MakerAnthropicMeta
WeightsNo public weights listedNo public weights listed
ReleasedFebruary 17, 2026September 2, 2026
Context window1M1.05M
Input $/Mtok$3.00$1.25
Output $/Mtok$15.00$4.25
Coding index57.879.7
Independent measurements behind it22
Cost per solved task$1.68Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Sonnet 4.6 better than Muse Spark 1.3 for coding?

Pick Muse Spark 1.3 for coding: it scores 79.7 on the Vibe Coding Index against 57.8 for Claude Sonnet 4.6. Pick Claude Sonnet 4.6 when what matters is Code migration (Vals AI) or LMArena Vision: homework, where it leads.

Which is cheaper, Claude Sonnet 4.6 or Muse Spark 1.3?

Claude Sonnet 4.6 costs $3.00 per million input tokens and $15.00 per million output tokens; Muse Spark 1.3 costs $1.25 and $4.25. Cost per solved task is known for Claude Sonnet 4.6 only.

Which has the bigger context window, Claude Sonnet 4.6 or Muse Spark 1.3?

Muse Spark 1.3, with 1.05M tokens against 1M.

How many benchmarks is the Claude Sonnet 4.6 vs Muse Spark 1.3 comparison based on?

82 benchmarks have a result for both models as of October 21, 2026. Claude Sonnet 4.6'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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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/claude-sonnet-4-6-vs-meta-muse-spark-1-3">LLMBenchmark.ai, Claude Sonnet 4.6 vs Muse Spark 1.3</a></p>