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Claude Sonnet 4.5 vs Muse Spark 1.3

Updated October 21, 2026. 55 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Claude Sonnet 4.5 Replace Muse Spark 1.3
Claude Sonnet 4.5Anthropic
Coding
59.1
Overall
20.7
Output $/M
$15.00
0
Muse Spark 1.3Meta
Coding
79.7
Overall
48.1
Output $/M
$4.25
55
vs boards won of 55 shared

Decision reading

Pick Muse Spark 1.3 for coding: it scores 79.7 on the Vibe Coding Index against 59.1 for Claude Sonnet 4.5.

Claude Sonnet 4.5 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Model AClaude Sonnet 4.5Anthropic59.1/1002 independent benchmarks$1.16 per solved taskModel BMuse Spark 1.3Meta79.7/1002 independent benchmarksNo cost per solved task
Shared results
55
Claude Sonnet 4.5 only
37
Muse Spark 1.3 only
37
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 4.5 59.1 from 2 benchmarks, Muse Spark 1.3 79.7 from 2 benchmarks.
Widest category
Coding, 28.7 points apart on average over 7 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Claude Sonnet 4.5 22.6% against Muse Spark 1.3 82.9%, 60.2 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 4.5 $15.00 against Muse Spark 1.3 $4.25 per million output tokens, 3.5x apart.
Context window
Claude Sonnet 4.5 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 4.5BarsMuse Spark 1.3Ties
Coding07
Intelligence02
Agentic work04
Reasoning05
Math06
Knowledge04
Web design08
General019
All shared boards055
CodingLike-for-likeFour of these boards feed the Vibe Coding Index07
Coding benchmarks for Claude Sonnet 4.5 and Muse Spark 1.3
BenchmarkClaude Sonnet 4.5Muse Spark 1.3Leader
SWE-bench Verified74.8%Not measuredOnly Claude Sonnet 4.5 measured
SWE-bench Multilingual67.0%Not measuredOnly Claude Sonnet 4.5 measured
LiveBench codingNot measured90.2%Only Muse Spark 1.3 measured
LMArena WebDev13941659Muse Spark 1.3
AA Coding Index52.175.8Muse Spark 1.3
LiveCodeBench (Vals AI)73.0%Not measuredOnly Claude Sonnet 4.5 measured
SWE-bench Verified (Vals AI)70.0%Not measuredOnly Claude Sonnet 4.5 measured
Terminal-Bench 4 (Vals AI)Not measured10.6%Only Muse Spark 1.3 measured
Vibe Code Bench (Vals AI)22.6%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
SciCodeNot measured59.7%Only Muse Spark 1.3 measured
Terminal-Bench46.5%Not measuredOnly Claude Sonnet 4.5 measured
FrontierSWENot measured25.8%Only Muse Spark 1.3 measured
GSO-Bench14.7%Not measuredOnly Claude Sonnet 4.5 measured
WeirdML47.7%Not measuredOnly Claude Sonnet 4.5 measured
Cybench60.0%Not measuredOnly Claude Sonnet 4.5 measured
ALE-BenchNot measured1688.3Only Muse Spark 1.3 measured
LMArena Text: coding14881510Muse Spark 1.3
LMArena Text: software and IT14731511Muse Spark 1.3
LMArena WebDev: React13861672Muse Spark 1.3
LMArena WebDev: HTML13991653Muse Spark 1.3
LMArena WebDev: from an imageNot measured1640Only Muse Spark 1.3 measured
Neither model has a result on the other 12 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Claude Sonnet 4.5 and Muse Spark 1.3
BenchmarkClaude Sonnet 4.5Muse Spark 1.3Leader
AA Intelligence Index20.748.1Muse Spark 1.3
Epoch Capabilities Index146.7157.2Muse Spark 1.3
Agentic workLike-for-likePublic boards, shown as published, kept out of the index04
Agentic work benchmarks for Claude Sonnet 4.5 and Muse Spark 1.3
BenchmarkClaude Sonnet 4.5Muse Spark 1.3Leader
AA Agentic Index15.855.5Muse Spark 1.3
Design Arena: agents building web apps10601297Muse Spark 1.3
Design Arena: agents building full-stack apps10501295Muse Spark 1.3
Design Arena: agents building mobile apps11371217Muse 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 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
APEX-AgentsNot measured58.6%Only Muse Spark 1.3 measured
METR time horizons67.4%Not measuredOnly Claude Sonnet 4.5 measured
Remote Labor Index2.1%Not measuredOnly Claude Sonnet 4.5 measured
GDPval42.5%Not measuredOnly Claude Sonnet 4.5 measured
DeepResearch Bench52.6%Not measuredOnly Claude Sonnet 4.5 measured
OSWorld62.9%Not measuredOnly Claude Sonnet 4.5 measured
Vending-Bench 2$3,839Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 17 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Claude Sonnet 4.5 and Muse Spark 1.3
BenchmarkClaude Sonnet 4.5Muse Spark 1.3Leader
GPQA Diamond81.6%Not measuredOnly Claude Sonnet 4.5 measured
LiveBench reasoningNot measured89.7%Only Muse Spark 1.3 measured
MMMU Pro (Vals AI)79.3%Not measuredOnly Claude Sonnet 4.5 measured
GPQA Diamond (Artificial Analysis run)Not measured94.1%Only Muse Spark 1.3 measured
Humanity's Last Exam (Artificial Analysis run)Not measured48.7%Only Muse Spark 1.3 measured
GPQA Diamond (Epoch AI run)82.3%Not measuredOnly Claude Sonnet 4.5 measured
ARC-AGI63.7%Not measuredOnly Claude Sonnet 4.5 measured
ARC-AGI-213.6%Not measuredOnly Claude Sonnet 4.5 measured
SimpleBench54.3%Not measuredOnly Claude Sonnet 4.5 measured
Chess puzzles10.0%37.0%Muse Spark 1.3
Mystery game puzzles17.0%25.0%Muse Spark 1.3
EBR-bench2.4%Not measuredOnly Claude Sonnet 4.5 measured
VPCT39.8%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: hard prompts14621503Muse Spark 1.3
LMArena Text: expert14831519Muse Spark 1.3
LMArena Text: hard prompts in English14711500Muse Spark 1.3
LMArena Vision: diagramsNot measured1330Only Muse Spark 1.3 measured
LMArena Vision: homeworkNot measured1296Only Muse Spark 1.3 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 Claude Sonnet 4.5 and Muse Spark 1.3
BenchmarkClaude Sonnet 4.5Muse Spark 1.3Leader
AIME88.2%Not measuredOnly Claude Sonnet 4.5 measured
MGSM (Vals AI)94.3%Not measuredOnly Claude Sonnet 4.5 measured
OTIS Mock AIME77.8%99.2%Muse Spark 1.3
FrontierMath, tiers 1 to 323.9%74.4%Muse Spark 1.3
FrontierMath, tier 42.4%46.3%Muse Spark 1.3
ProofBench19.0%58.0%Muse Spark 1.3
MATH level 597.7%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: math14491497Muse Spark 1.3
LMArena Text: mathematical work14621491Muse Spark 1.3
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Claude Sonnet 4.5 and Muse Spark 1.3
BenchmarkClaude Sonnet 4.5Muse Spark 1.3Leader
MMLU Pro87.4%Not measuredOnly Claude Sonnet 4.5 measured
LegalBench (Vals AI)84.1%Not measuredOnly Claude Sonnet 4.5 measured
CaseLaw (Vals AI)62.2%Not measuredOnly Claude Sonnet 4.5 measured
CorpFin (Vals AI)62.0%Not measuredOnly Claude Sonnet 4.5 measured
TaxEval (Vals AI)73.3%Not measuredOnly Claude Sonnet 4.5 measured
MortgageTax (Vals AI)64.0%Not measuredOnly Claude Sonnet 4.5 measured
MedQA (Vals AI)94.7%Not measuredOnly Claude Sonnet 4.5 measured
MedCode (Vals AI)44.1%Not measuredOnly Claude Sonnet 4.5 measured
SimpleQA Verified30.7%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: science14481507Muse Spark 1.3
LMArena Text: medicine and healthcare14441493Muse Spark 1.3
LMArena Text: legal and government14511499Muse Spark 1.3
LMArena Text: business and finance14401490Muse Spark 1.3
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for Claude Sonnet 4.5 and Muse Spark 1.3
BenchmarkClaude Sonnet 4.5Muse Spark 1.3Leader
Design Arena: websites11901356Muse Spark 1.3
Design Arena: UI components11731352Muse Spark 1.3
Design Arena: game dev11661329Muse Spark 1.3
Design Arena: data viz11671343Muse Spark 1.3
Design Arena: 3D11581359Muse Spark 1.3
Design Arena: all code categories11831353Muse Spark 1.3
Design Arena: SVG11141300Muse Spark 1.3
Design Arena: ASCII art12041280Muse Spark 1.3
LiveBench designNot measured74.8%Only Muse Spark 1.3 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index019
General benchmarks for Claude Sonnet 4.5 and Muse Spark 1.3
BenchmarkClaude Sonnet 4.5Muse Spark 1.3Leader
LiveBench data analysisNot measured79.6%Only Muse Spark 1.3 measured
SAGE (Vals AI)36.1%Not measuredOnly Claude Sonnet 4.5 measured
MedScribe (Vals AI)84.5%Not measuredOnly Claude Sonnet 4.5 measured
Long context reasoning (AA-LCR)Not measured83.0%Only Muse Spark 1.3 measured
DTBench83.2%96.5%Muse Spark 1.3
LMCA38.8%53.9%Muse Spark 1.3
LMArena Text14381490Muse Spark 1.3
LMArena Text: instruction following14591479Muse Spark 1.3
LMArena Text: creative writing14421462Muse Spark 1.3
LMArena VisionNot measured1308Only Muse Spark 1.3 measured
LMArena Text: English14501495Muse Spark 1.3
LMArena Text: non-English14251481Muse Spark 1.3
LMArena Text: Chinese14601532Muse Spark 1.3
LMArena Text: German14271513Muse Spark 1.3
LMArena Text: Japanese13901470Muse Spark 1.3
LMArena Text: Korean14021490Muse Spark 1.3
LMArena Text: French14591511Muse Spark 1.3
LMArena Text: Spanish14581496Muse Spark 1.3
LMArena Text: Russian14371491Muse Spark 1.3
LMArena Text: Polish14231490Muse Spark 1.3
LMArena Text: multi-turn14651487Muse Spark 1.3
LMArena Text: longer queries14751488Muse Spark 1.3
LMArena Text: writing and language14421470Muse Spark 1.3
LMArena Text: entertainment and media14281457Muse Spark 1.3
LMArena Vision: EnglishNot measured1298Only Muse Spark 1.3 measured
LMArena Vision: ChineseNot measured1384Only Muse Spark 1.3 measured
LMArena Vision: reading textNot measured1319Only Muse Spark 1.3 measured
LMArena Vision: humorNot measured1293Only Muse Spark 1.3 measured
LMArena Vision: creative writingNot measured1296Only Muse Spark 1.3 measured
LMArena Document1450Not measuredOnly Claude Sonnet 4.5 measured
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 Claude Sonnet 4.5 and Muse Spark 1.3
BenchmarkClaude Sonnet 4.5Muse 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

Claude Sonnet 4.5$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 4.5$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 4.5$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 4.5 and Muse Spark 1.3
SpecificationAnthropic Claude Sonnet 4.5Meta Muse Spark 1.3
MakerAnthropicMeta
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 29, 2025September 2, 2026
Context window1M1.05M
Input $/Mtok$3.00$1.25
Output $/Mtok$15.00$4.25
Coding index59.179.7
Independent measurements behind it22
Cost per solved task$1.16Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Sonnet 4.5 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 59.1 for Claude Sonnet 4.5. Claude Sonnet 4.5 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Which is cheaper, Claude Sonnet 4.5 or Muse Spark 1.3?

Claude Sonnet 4.5 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 4.5 only.

Which has the bigger context window, Claude Sonnet 4.5 or Muse Spark 1.3?

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

How many benchmarks is the Claude Sonnet 4.5 vs Muse Spark 1.3 comparison based on?

55 benchmarks have a result for both models as of October 21, 2026. Claude Sonnet 4.5'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-4-5-vs-meta-muse-spark-1-3">LLMBenchmark.ai, Claude Sonnet 4.5 vs Muse Spark 1.3</a></p>