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Claude Sonnet 4.5 vs Muse Spark 1.2

Updated October 21, 2026. 61 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Claude Sonnet 4.5Anthropic
Coding
59.1
Overall
20.7
Output $/M
$15.00
3
Muse Spark 1.2Meta
Coding
65.1
Overall
39.6
Output $/M
$4.25
58
vs boards won of 61 shared

Decision reading

Pick Muse Spark 1.2 for coding: it scores 65.1 on the Vibe Coding Index against 59.1 for Claude Sonnet 4.5.

Pick Claude Sonnet 4.5 when what matters is LMArena Text: expert or LMArena Text: creative writing, where it leads.

Shared results
61
Claude Sonnet 4.5 only
31
Muse Spark 1.2 only
36
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 1.2 65.1 from 2 benchmarks.
Widest category
Coding, 20.2 points apart on average over 9 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Claude Sonnet 4.5 22.6% against Muse Spark 1.2 79.1%, 56.5 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 4.5 $15.00 against Muse Spark 1.2 $4.25 per million output tokens, 3.5x apart.
Context window
Claude Sonnet 4.5 takes 1M tokens, Muse Spark 1.2 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 1.2Ties
Coding09
Intelligence02
Agentic work04
Reasoning15
Math03
Knowledge011
Web design08
General216
All shared boards358
CodingLike-for-likeFour of these boards feed the Vibe Coding Index09
Coding benchmarks for Claude Sonnet 4.5 and Muse Spark 1.2
BenchmarkClaude Sonnet 4.5Muse Spark 1.2Leader
SWE-bench Verified74.8%Not measuredOnly Claude Sonnet 4.5 measured
SWE-bench Multilingual67.0%Not measuredOnly Claude Sonnet 4.5 measured
LiveBench codingNot measured78.2%Only Muse Spark 1.2 measured
LMArena WebDev13941534Muse Spark 1.2
AA Coding Index52.172.2Muse Spark 1.2
LiveCodeBench (Vals AI)73.0%Not measuredOnly Claude Sonnet 4.5 measured
SWE-bench Verified (Vals AI)70.0%86.6%Muse Spark 1.2
Terminal-Bench 4 (Vals AI)Not measured6.1%Only Muse Spark 1.2 measured
Vibe Code Bench (Vals AI)22.6%79.1%Muse Spark 1.2
Code migration (Vals AI)Not measured29.9%Only Muse Spark 1.2 measured
ProgramBench (Vals AI)Not measured0.5%Only Muse Spark 1.2 measured
IOI (Vals AI)Not measured21.8%Only Muse Spark 1.2 measured
Terminal-Bench 2.1 (Vals AI)Not measured69.7%Only Muse Spark 1.2 measured
SkillsBench (Vals AI)Not measured53.0%Only Muse Spark 1.2 measured
CyberBench (Vals AI)Not measured69.5%Only Muse Spark 1.2 measured
SciCodeNot measured57.4%Only Muse Spark 1.2 measured
Terminal-Bench46.5%Not measuredOnly Claude Sonnet 4.5 measured
FrontierSWENot measured12.0%Only Muse Spark 1.2 measured
GSO-Bench14.7%Not measuredOnly Claude Sonnet 4.5 measured
WeirdML47.7%60.3%Muse Spark 1.2
Cybench60.0%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: coding14881505Muse Spark 1.2
LMArena Text: software and IT14731505Muse Spark 1.2
LMArena WebDev: React13861526Muse Spark 1.2
LMArena WebDev: HTML13991543Muse Spark 1.2
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 4.5 and Muse Spark 1.2
BenchmarkClaude Sonnet 4.5Muse Spark 1.2Leader
AA Intelligence Index20.739.6Muse Spark 1.2
Epoch Capabilities Index146.7155.1Muse Spark 1.2
Agentic workLike-for-likePublic boards, shown as published, kept out of the index04
Agentic work benchmarks for Claude Sonnet 4.5 and Muse Spark 1.2
BenchmarkClaude Sonnet 4.5Muse Spark 1.2Leader
AA Agentic Index15.843.2Muse Spark 1.2
Design Arena: agents building web apps10601222Muse Spark 1.2
Design Arena: agents building full-stack apps10501210Muse Spark 1.2
Design Arena: agents building mobile apps11371182Muse Spark 1.2
Design Arena: agents building Android appsNot measured1228Only Muse Spark 1.2 measured
Design Arena: agents building gamesNot measured1179Only Muse Spark 1.2 measured
Design Arena: HTML slidesNot measured1135Only Muse Spark 1.2 measured
Design Arena: PowerPoint slidesNot measured1198Only Muse Spark 1.2 measured
LiveBench researchNot measured67.7%Only Muse Spark 1.2 measured
LiveBench browserNot measured36.0%Only Muse Spark 1.2 measured
LiveBench long agenticNot measured21.3%Only Muse Spark 1.2 measured
SREBench (Vals AI)Not measured0.0%Only Muse Spark 1.2 measured
Finance Agent (Vals AI)Not measured60.6%Only Muse Spark 1.2 measured
Tax Agent Bench (Vals AI)Not measured32.8%Only Muse Spark 1.2 measured
Legal Research Bench (Vals AI)Not measured43.8%Only Muse Spark 1.2 measured
Excel Modeling Benchmark (Vals AI)Not measured57.0%Only Muse Spark 1.2 measured
BioMysteryBench (Vals AI)Not measured64.8%Only Muse Spark 1.2 measured
APEX-AgentsNot measured45.4%Only Muse Spark 1.2 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 15 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index15
Reasoning benchmarks for Claude Sonnet 4.5 and Muse Spark 1.2
BenchmarkClaude Sonnet 4.5Muse Spark 1.2Leader
GPQA Diamond81.6%Not measuredOnly Claude Sonnet 4.5 measured
LiveBench reasoningNot measured90.0%Only Muse Spark 1.2 measured
MMMU Pro (Vals AI)79.3%86.1%Muse Spark 1.2
GPQA Diamond (Artificial Analysis run)Not measured90.4%Only Muse Spark 1.2 measured
Humanity's Last Exam (Artificial Analysis run)Not measured45.5%Only Muse Spark 1.2 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%74.5%Muse Spark 1.2
Chess puzzles10.0%27.0%Muse Spark 1.2
Mystery game puzzles17.0%Not measuredOnly Claude Sonnet 4.5 measured
EBR-bench2.4%Not measuredOnly Claude Sonnet 4.5 measured
VPCT39.8%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: hard prompts14621489Muse Spark 1.2
LMArena Text: expert14831475Claude Sonnet 4.5
LMArena Text: hard prompts in English14711487Muse Spark 1.2
LMArena Vision: diagramsNot measured1317Only Muse Spark 1.2 measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for Claude Sonnet 4.5 and Muse Spark 1.2
BenchmarkClaude Sonnet 4.5Muse Spark 1.2Leader
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%Not measuredOnly Claude Sonnet 4.5 measured
FrontierMath, tiers 1 to 323.9%Not measuredOnly Claude Sonnet 4.5 measured
FrontierMath, tier 42.4%Not measuredOnly Claude Sonnet 4.5 measured
ProofBench19.0%43.0%Muse Spark 1.2
MATH level 597.7%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: math14491484Muse Spark 1.2
LMArena Text: mathematical work14621480Muse Spark 1.2
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index011
Knowledge benchmarks for Claude Sonnet 4.5 and Muse Spark 1.2
BenchmarkClaude Sonnet 4.5Muse Spark 1.2Leader
MMLU Pro87.4%88.3%Muse Spark 1.2
LegalBench (Vals AI)84.1%85.3%Muse Spark 1.2
CaseLaw (Vals AI)62.2%Not measuredOnly Claude Sonnet 4.5 measured
CorpFin (Vals AI)62.0%70.9%Muse Spark 1.2
TaxEval (Vals AI)73.3%80.4%Muse Spark 1.2
MortgageTax (Vals AI)64.0%65.4%Muse Spark 1.2
MedQA (Vals AI)94.7%Not measuredOnly Claude Sonnet 4.5 measured
MedCode (Vals AI)44.1%49.4%Muse Spark 1.2
SimpleQA Verified30.7%60.3%Muse Spark 1.2
LMArena Text: science14481500Muse Spark 1.2
LMArena Text: medicine and healthcare14441496Muse Spark 1.2
LMArena Text: legal and government14511517Muse Spark 1.2
LMArena Text: business and finance14401484Muse Spark 1.2
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 1.2
BenchmarkClaude Sonnet 4.5Muse Spark 1.2Leader
Design Arena: websites11901313Muse Spark 1.2
Design Arena: UI components11731300Muse Spark 1.2
Design Arena: game dev11661302Muse Spark 1.2
Design Arena: data viz11671334Muse Spark 1.2
Design Arena: 3D11581301Muse Spark 1.2
Design Arena: all code categories11831313Muse Spark 1.2
Design Arena: SVG11141285Muse Spark 1.2
Design Arena: ASCII art12041284Muse Spark 1.2
LiveBench designNot measured67.1%Only Muse Spark 1.2 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index216
General benchmarks for Claude Sonnet 4.5 and Muse Spark 1.2
BenchmarkClaude Sonnet 4.5Muse Spark 1.2Leader
LiveBench data analysisNot measured76.5%Only Muse Spark 1.2 measured
Public Benefits Bench (Vals AI)Not measured68.5%Only Muse Spark 1.2 measured
SAGE (Vals AI)36.1%47.7%Muse Spark 1.2
MedScribe (Vals AI)84.5%90.1%Muse Spark 1.2
Vals Multimodal IndexNot measured69.8%Only Muse Spark 1.2 measured
Long context reasoning (AA-LCR)Not measured79.0%Only Muse Spark 1.2 measured
DTBench83.2%94.7%Muse Spark 1.2
LMCA38.8%48.4%Muse Spark 1.2
LMArena Text14381482Muse Spark 1.2
LMArena Text: instruction following14591462Muse Spark 1.2
LMArena Text: creative writing14421436Claude Sonnet 4.5
LMArena VisionNot measured1304Only Muse Spark 1.2 measured
LMArena Text: English14501483Muse Spark 1.2
LMArena Text: non-English14251476Muse Spark 1.2
LMArena Text: Chinese14601509Muse Spark 1.2
LMArena Text: German1427Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: Japanese1390Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: Korean14021462Muse Spark 1.2
LMArena Text: French14591495Muse Spark 1.2
LMArena Text: Spanish14581484Muse Spark 1.2
LMArena Text: Russian14371483Muse Spark 1.2
LMArena Text: Polish1423Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: multi-turn14651502Muse Spark 1.2
LMArena Text: longer queries14751473Claude Sonnet 4.5
LMArena Text: writing and language14421453Muse Spark 1.2
LMArena Text: entertainment and media14281443Muse Spark 1.2
LMArena Vision: EnglishNot measured1291Only Muse Spark 1.2 measured
LMArena Vision: reading textNot measured1313Only Muse Spark 1.2 measured
LMArena Document1450Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 17 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 1.2
BenchmarkClaude Sonnet 4.5Muse Spark 1.2Leader
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 1.2$0.0034Fits in one request

Muse Spark 1.2 costs less

Repository review

50K input + 3K output tokens

Claude Sonnet 4.5$0.195Fits in one request
Muse Spark 1.2$0.075Fits in one request

Muse Spark 1.2 costs less

Agent loop

200K input + 10K output tokens

Claude Sonnet 4.5$0.750Fits in one request
Muse Spark 1.2$0.292Fits in one request

Muse Spark 1.2 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 1.2
SpecificationAnthropic Claude Sonnet 4.5Meta Muse Spark 1.2
MakerAnthropicMeta
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 29, 2025August 5, 2026
Context window1M1.05M
Input $/Mtok$3.00$1.25
Output $/Mtok$15.00$4.25
Coding index59.165.1
Independent measurements behind it22
Cost per solved task$1.16$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Sonnet 4.5 better than Muse Spark 1.2 for coding?

Pick Muse Spark 1.2 for coding: it scores 65.1 on the Vibe Coding Index against 59.1 for Claude Sonnet 4.5. Pick Claude Sonnet 4.5 when what matters is LMArena Text: expert or LMArena Text: creative writing, where it leads.

Which is cheaper, Claude Sonnet 4.5 or Muse Spark 1.2?

Claude Sonnet 4.5 costs $3.00 per million input tokens and $15.00 per million output tokens; Muse Spark 1.2 costs $1.25 and $4.25. Per solved SWE-bench Verified task, Claude Sonnet 4.5 costs $1.16 and Muse Spark 1.2 $0.64.

Which has the bigger context window, Claude Sonnet 4.5 or Muse Spark 1.2?

Muse Spark 1.2, with 1.05M tokens against 1M.

How many benchmarks is the Claude Sonnet 4.5 vs Muse Spark 1.2 comparison based on?

61 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 1.2'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-1-2">LLMBenchmark.ai, Claude Sonnet 4.5 vs Muse Spark 1.2</a></p>