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Claude Sonnet 4.6 vs Muse Spark 1.1

Muse Spark 1.1 leads Claude Sonnet 4.6 on coding, 70.3 to 57.3 on the Vibe Coding Index, and Muse Spark 1.1 costs 3.5x less per output token ($4.25 vs $15.00 per million). Updated October 22, 2026; 94 benchmarks have a result for both.

Replace Claude Sonnet 4.6 Replace Muse Spark 1.1
Claude Sonnet 4.6Anthropic
Coding
57.3
Overall
60.3
Output $/M
$15.00
30
Muse Spark 1.1Meta
Coding
70.3
Overall
67.0
Output $/M
$4.25
64
vs boards won of 94 shared

Claude Sonnet 4.6 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 57.3 for Claude Sonnet 4.6, though on 3 benchmarks against 5.

Pick Claude Sonnet 4.6 for work measured by Code migration (Vals AI) or ProgramBench (Vals AI), where it leads.

Model AClaude Sonnet 4.6Anthropic57.3/1005 independent benchmarks$1.68 per solved taskModel BMuse Spark 1.1Meta70.3/1003 independent benchmarks$0.43 per solved task
Shared results
94
Claude Sonnet 4.6 only
29
Muse Spark 1.1 only
10
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
Claude Sonnet 4.6 57.3 from 5 benchmarks, Muse Spark 1.1 70.3 from 3 benchmarks.
Widest category
Coding, 6.2 points apart on average over 17 shared benchmarks.
Widest single gap
SimpleQA Verified: Claude Sonnet 4.6 35.5% against Muse Spark 1.1 57.8%, 22.3 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 4.6 $15.00 against Muse Spark 1.1 $4.25 per million output tokens, 3.5x apart.
Context window
Claude Sonnet 4.6 takes 1M 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
CategoryClaude Sonnet 4.6BarsMuse Spark 1.1Ties
Coding314
Intelligence02
Agentic work94
Reasoning46
Math12
Knowledge19
Web design26
General1021
All shared boards3064
CodingLike-for-likeSix of these boards feed the Vibe Coding Index314
Coding benchmarks for Claude Sonnet 4.6 and Muse Spark 1.1
BenchmarkClaude Sonnet 4.6Muse Spark 1.1Leader
LiveBench coding66.6%Not measuredOnly Claude Sonnet 4.6 measured
LMArena WebDev15231542Muse Spark 1.1
AA Coding Index63.071.3Muse Spark 1.1
LiveCodeBench (Vals AI)82.1%85.9%Muse Spark 1.1
SWE-bench Verified (Vals AI)77.4%82.0%Muse Spark 1.1
Vibe Code Bench (Vals AI)55.8%72.2%Muse Spark 1.1
Code migration (Vals AI)39.9%31.1%Claude Sonnet 4.6
ProgramBench (Vals AI)0.5%0.0%Claude Sonnet 4.6
Terminal-Bench 2.1 (Vals AI)57.3%69.3%Muse Spark 1.1
SkillsBench (Vals AI)49.0%59.2%Muse Spark 1.1
SciCode50.1%58.8%Muse Spark 1.1
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
WeirdML66.1%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: coding15031498Claude Sonnet 4.6
LMArena Text: software and IT14911498Muse Spark 1.1
LMArena WebDev: React15121532Muse Spark 1.1
LMArena WebDev: HTML15271540Muse Spark 1.1
LMArena WebDev: from an image15291540Muse Spark 1.1
SWE Atlas: Codebase QnA31.2%42.2%Muse Spark 1.1
SWE Atlas: Refactoring32.2%Not measuredOnly Claude Sonnet 4.6 measured
SWE Atlas: Test Writing31.8%41.5%Muse Spark 1.1
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Claude Sonnet 4.6 and Muse Spark 1.1
BenchmarkClaude Sonnet 4.6Muse Spark 1.1Leader
AA Intelligence Index30.133.7Muse Spark 1.1
Epoch Capabilities Index152.8154.1Muse Spark 1.1
Agentic workLike-for-likePublic boards, shown as published, kept out of the index94
Agentic work benchmarks for Claude Sonnet 4.6 and Muse Spark 1.1
BenchmarkClaude Sonnet 4.6Muse Spark 1.1Leader
AA Agentic Index31.825.8Claude Sonnet 4.6
Design Arena: agents building web apps11901207Muse Spark 1.1
Design Arena: agents building full-stack apps12131199Claude Sonnet 4.6
Design Arena: agents building mobile apps12111175Claude Sonnet 4.6
Design Arena: agents building Android apps11961178Claude Sonnet 4.6
Design Arena: agents building Godot games12261103Claude Sonnet 4.6
Design Arena: agents building games11771183Muse Spark 1.1
Design Arena: HTML slidesNot measured1145Only Muse Spark 1.1 measured
Design Arena: PowerPoint slidesNot measured1134Only Muse Spark 1.1 measured
Design Arena: spreadsheetsNot measured1021Only Muse Spark 1.1 measured
LiveBench research63.6%Not measuredOnly Claude Sonnet 4.6 measured
LiveBench browser68.0%Not measuredOnly Claude Sonnet 4.6 measured
LiveBench long agentic23.1%Not measuredOnly Claude Sonnet 4.6 measured
Finance Agent (Vals AI)51.0%57.2%Muse Spark 1.1
Tax Agent Bench (Vals AI)25.8%Not measuredOnly Claude Sonnet 4.6 measured
Legal Research Bench (Vals AI)38.5%38.0%Claude Sonnet 4.6
Excel Modeling Benchmark (Vals AI)60.2%56.4%Claude Sonnet 4.6
Time Horizon Index (Vals AI)Not measured1.7%Only Muse Spark 1.1 measured
τ²-Bench Telecom79.5%Not measuredOnly Claude Sonnet 4.6 measured
APEX-Agents43.0%31.8%Claude Sonnet 4.6
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$7,204$6,520Claude Sonnet 4.6
MCP Atlas69.5%88.1%Muse Spark 1.1
Neither model has a result on the other 17 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index46
Reasoning benchmarks for Claude Sonnet 4.6 and Muse Spark 1.1
BenchmarkClaude Sonnet 4.6Muse Spark 1.1Leader
GPQA Diamond85.6%91.2%Muse Spark 1.1
LiveBench reasoning86.4%Not measuredOnly Claude Sonnet 4.6 measured
MMMU Pro (Vals AI)83.6%86.6%Muse Spark 1.1
GPQA Diamond (Artificial Analysis run)87.5%89.8%Muse Spark 1.1
Humanity's Last Exam (Artificial Analysis run)33.6%46.2%Muse Spark 1.1
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%34.0%Muse Spark 1.1
Mystery game puzzles16.0%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: hard prompts14851485Muse Spark 1.1
LMArena Text: expert15001478Claude Sonnet 4.6
LMArena Text: hard prompts in English14931480Claude Sonnet 4.6
LMArena Vision: diagrams13061305Claude Sonnet 4.6
LMArena Vision: homework13111287Claude Sonnet 4.6
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index12
Math benchmarks for Claude Sonnet 4.6 and Muse Spark 1.1
BenchmarkClaude Sonnet 4.6Muse Spark 1.1Leader
AIME92.3%Not measuredOnly Claude Sonnet 4.6 measured
OTIS Mock AIME85.8%Not measuredOnly Claude Sonnet 4.6 measured
ProofBench45.0%39.0%Claude Sonnet 4.6
LMArena Text: math14621482Muse Spark 1.1
LMArena Text: mathematical work14831487Muse Spark 1.1
MathArenaNot measured42.5%Only Muse Spark 1.1 measured
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index19
Knowledge benchmarks for Claude Sonnet 4.6 and Muse Spark 1.1
BenchmarkClaude Sonnet 4.6Muse Spark 1.1Leader
MMLU Pro87.3%88.7%Muse Spark 1.1
LegalBench (Vals AI)82.1%85.0%Muse Spark 1.1
CaseLaw (Vals AI)64.0%Not measuredOnly Claude Sonnet 4.6 measured
CorpFin (Vals AI)65.3%71.3%Muse Spark 1.1
TaxEval (Vals AI)77.1%79.7%Muse Spark 1.1
MortgageTax (Vals AI)67.7%66.1%Claude Sonnet 4.6
MedQA (Vals AI)92.1%Not measuredOnly Claude Sonnet 4.6 measured
SimpleQA Verified35.5%57.8%Muse Spark 1.1
LMArena Text: science14741484Muse Spark 1.1
LMArena Text: medicine and healthcare14511479Muse Spark 1.1
LMArena Text: legal and government14701481Muse Spark 1.1
LMArena Text: business and finance14641470Muse Spark 1.1
FACTS Benchmark Suite37.0%Not measuredOnly Claude Sonnet 4.6 measured
PRBench FinanceNot measured55.0%Only Muse Spark 1.1 measured
PRBench LegalNot measured57.0%Only Muse Spark 1.1 measured
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index26
Web design benchmarks for Claude Sonnet 4.6 and Muse Spark 1.1
BenchmarkClaude Sonnet 4.6Muse Spark 1.1Leader
Design Arena: websites12841270Claude Sonnet 4.6
Design Arena: UI components12691287Muse Spark 1.1
Design Arena: game dev12581269Muse Spark 1.1
Design Arena: data viz12781267Claude Sonnet 4.6
Design Arena: 3D12341259Muse Spark 1.1
Design Arena: all code categories12751276Muse Spark 1.1
Design Arena: SVG11961234Muse Spark 1.1
Design Arena: ASCII art12351269Muse Spark 1.1
LiveBench design71.8%Not measuredOnly Claude Sonnet 4.6 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index1021
General benchmarks for Claude Sonnet 4.6 and Muse Spark 1.1
BenchmarkClaude Sonnet 4.6Muse Spark 1.1Leader
LiveBench data analysis76.1%Not measuredOnly Claude Sonnet 4.6 measured
Public Benefits Bench (Vals AI)62.5%61.3%Claude Sonnet 4.6
SAGE (Vals AI)46.6%45.6%Claude Sonnet 4.6
MedScribe (Vals AI)Not measured88.9%Only Muse Spark 1.1 measured
Vals Multimodal Index60.6%66.7%Muse Spark 1.1
IFBench56.6%Not measuredOnly Claude Sonnet 4.6 measured
Long context reasoning (AA-LCR)80.0%77.7%Claude Sonnet 4.6
DTBench89.9%94.4%Muse Spark 1.1
LMCA46.5%49.9%Muse Spark 1.1
Surface Evolver BenchNot measured52.5%Only Muse Spark 1.1 measured
ExploitBench23.6%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text14581478Muse Spark 1.1
LMArena Text: instruction following14761457Claude Sonnet 4.6
LMArena Text: creative writing14351435Claude Sonnet 4.6
LMArena Vision12831293Muse Spark 1.1
LMArena Text: English14721478Muse Spark 1.1
LMArena Text: non-English14401471Muse Spark 1.1
LMArena Text: Chinese14911515Muse Spark 1.1
LMArena Text: German14281469Muse Spark 1.1
LMArena Text: Japanese14201450Muse Spark 1.1
LMArena Text: Korean14101459Muse Spark 1.1
LMArena Text: French14651492Muse Spark 1.1
LMArena Text: Spanish14641464Claude Sonnet 4.6
LMArena Text: Russian14401482Muse Spark 1.1
LMArena Text: Polish14431499Muse Spark 1.1
LMArena Text: multi-turn14641484Muse Spark 1.1
LMArena Text: longer queries14791462Claude Sonnet 4.6
LMArena Text: writing and language14441448Muse Spark 1.1
LMArena Text: entertainment and media14311438Muse Spark 1.1
LMArena Vision: English12981292Claude Sonnet 4.6
LMArena Vision: Chinese13071348Muse Spark 1.1
LMArena Vision: reading text12961301Muse Spark 1.1
LMArena Vision: humor12481288Muse Spark 1.1
LMArena Vision: recognizing things1195Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: creative writing12721253Claude Sonnet 4.6
LMArena Document14821465Claude Sonnet 4.6
MultiChallengeNot measured75.3%Only Muse Spark 1.1 measured
EQ-Bench 412071260Muse Spark 1.1
Neither model has a result on the other 10 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 1.1
BenchmarkClaude Sonnet 4.6Muse 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

Claude Sonnet 4.6$0.011Fits 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

Claude Sonnet 4.6$0.195Fits 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

Claude Sonnet 4.6$0.750Fits 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 Claude Sonnet 4.6 and Muse Spark 1.1
SpecificationAnthropic Claude Sonnet 4.6Meta Muse Spark 1.1
MakerAnthropicMeta
WeightsNo public weights listedNo public weights listed
ReleasedFebruary 17, 2026July 16, 2026
Context window1M1.05M
Input $/Mtok$3.00$1.25
Output $/Mtok$15.00$4.25
Coding index57.370.3
Independent measurements behind it53
Cost per solved task$1.68$0.43
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Sonnet 4.6 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 57.3 for Claude Sonnet 4.6, though on 3 benchmarks against 5. Pick Claude Sonnet 4.6 for work measured by Code migration (Vals AI) or ProgramBench (Vals AI), where it leads.

Which is cheaper, Claude Sonnet 4.6 or Muse Spark 1.1?

Claude Sonnet 4.6 costs $3.00 per million input tokens and $15.00 per million output tokens; Muse Spark 1.1 costs $1.25 and $4.25. Per solved SWE-bench Verified task, Claude Sonnet 4.6 costs $1.68 and Muse Spark 1.1 $0.43.

Which has the bigger context window, Claude Sonnet 4.6 or Muse Spark 1.1?

Muse Spark 1.1, with 1.05M tokens against 1M.

How many benchmarks is the Claude Sonnet 4.6 vs Muse Spark 1.1 comparison based on?

94 benchmarks have a result for both models as of October 22, 2026. Claude Sonnet 4.6's coding index rests on 5 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/claude-sonnet-4-6-vs-meta-muse-spark-1-1">LLMBenchmark.ai, Claude Sonnet 4.6 vs Muse Spark 1.1</a></p>