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Claude Opus 4.5 vs Muse Spark 1.1

Updated October 21, 2026. 67 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Claude Opus 4.5Anthropic
Coding
66.8
Overall
29.1
Output $/M
$25.00
10
Muse Spark 1.1Meta
Coding
48.9
Overall
33.7
Output $/M
$4.25
57
vs boards won of 67 shared

Decision reading

Pick Claude Opus 4.5 for coding: it scores 66.8 on the Vibe Coding Index against 48.9 for Muse Spark 1.1.

Pick Muse Spark 1.1 when output tokens cost 5.9x less, or when a solved task costs $0.43 against $1.37.

Shared results
67
Claude Opus 4.5 only
38
Muse Spark 1.1 only
29
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 Opus 4.5 66.8 from 2 benchmarks, Muse Spark 1.1 48.9 from 1 benchmark.
Widest category
Coding, 10.5 points apart on average over 8 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Claude Opus 4.5 20.6% against Muse Spark 1.1 72.2%, 51.5 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.5 $25.00 against Muse Spark 1.1 $4.25 per million output tokens, 5.9x apart.
Context window
Claude Opus 4.5 takes 200K 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 Opus 4.5BarsMuse Spark 1.1Ties
Coding17
Intelligence02
Agentic work14
Reasoning26
Math03
Knowledge19
Web design08
General518
All shared boards1057
CodingLike-for-likeFour of these boards feed the Vibe Coding Index17
Coding benchmarks for Claude Opus 4.5 and Muse Spark 1.1
BenchmarkClaude Opus 4.5Muse Spark 1.1Leader
SWE-bench Verified79.2%Not measuredOnly Claude Opus 4.5 measured
SWE-bench (full test set)52.6%Not measuredOnly Claude Opus 4.5 measured
SWE-bench Multilingual70.7%Not measuredOnly Claude Opus 4.5 measured
LMArena WebDev14941542Muse Spark 1.1
AA Coding IndexNot measured71.3Only Muse Spark 1.1 measured
LiveCodeBench (Vals AI)83.7%85.9%Muse Spark 1.1
SWE-bench Verified (Vals AI)76.4%82.0%Muse Spark 1.1
Vibe Code Bench (Vals AI)20.6%72.2%Muse Spark 1.1
Code migration (Vals AI)Not measured31.1%Only Muse Spark 1.1 measured
ProgramBench (Vals AI)Not measured0.0%Only Muse Spark 1.1 measured
Terminal-Bench 2.1 (Vals AI)Not measured69.3%Only Muse Spark 1.1 measured
SkillsBench (Vals AI)Not measured59.2%Only Muse Spark 1.1 measured
LiveCodeBench (Artificial Analysis run)87.1%Not measuredOnly Claude Opus 4.5 measured
SciCodeNot measured58.8%Only Muse Spark 1.1 measured
Terminal-Bench Hard (Artificial Analysis run)47.0%Not measuredOnly Claude Opus 4.5 measured
Terminal-Bench63.1%Not measuredOnly Claude Opus 4.5 measured
GSO-Bench26.5%Not measuredOnly Claude Opus 4.5 measured
WeirdML63.7%Not measuredOnly Claude Opus 4.5 measured
Cybench82.0%Not measuredOnly Claude Opus 4.5 measured
LMArena Text: coding15031498Claude Opus 4.5
LMArena Text: software and IT14831498Muse Spark 1.1
LMArena WebDev: React14781532Muse Spark 1.1
LMArena WebDev: HTML15101540Muse Spark 1.1
LMArena WebDev: from an imageNot measured1540Only Muse Spark 1.1 measured
Neither model has a result on the other 14 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Claude Opus 4.5 and Muse Spark 1.1
BenchmarkClaude Opus 4.5Muse Spark 1.1Leader
AA Intelligence Index29.133.7Muse Spark 1.1
Epoch Capabilities Index150.1154.1Muse Spark 1.1
Agentic workLike-for-likePublic boards, shown as published, kept out of the index14
Agentic work benchmarks for Claude Opus 4.5 and Muse Spark 1.1
BenchmarkClaude Opus 4.5Muse Spark 1.1Leader
AA Agentic IndexNot measured25.8Only Muse Spark 1.1 measured
Design Arena: agents building web apps11591207Muse Spark 1.1
Design Arena: agents building full-stack apps11561199Muse Spark 1.1
Design Arena: agents building mobile apps11891177Claude Opus 4.5
Design Arena: agents building Android apps11811184Muse Spark 1.1
Design Arena: agents building Godot gamesNot measured1103Only Muse Spark 1.1 measured
Design Arena: agents building gamesNot measured1183Only Muse Spark 1.1 measured
Design Arena: HTML slidesNot measured1194Only Muse Spark 1.1 measured
Design Arena: PowerPoint slidesNot measured1156Only Muse Spark 1.1 measured
Design Arena: spreadsheetsNot measured974Only Muse Spark 1.1 measured
Finance Agent (Vals AI)Not measured57.2%Only Muse Spark 1.1 measured
Legal Research Bench (Vals AI)Not measured38.0%Only Muse Spark 1.1 measured
Excel Modeling Benchmark (Vals AI)Not measured56.4%Only Muse Spark 1.1 measured
Time Horizon Index (Vals AI)Not measured1.7%Only Muse Spark 1.1 measured
τ²-Bench Telecom89.5%Not measuredOnly Claude Opus 4.5 measured
APEX-AgentsNot measured31.8%Only Muse Spark 1.1 measured
METR time horizons75.0%Not measuredOnly Claude Opus 4.5 measured
Remote Labor Index3.8%Not measuredOnly Claude Opus 4.5 measured
GDPval45.5%Not measuredOnly Claude Opus 4.5 measured
BALROG43.5%Not measuredOnly Claude Opus 4.5 measured
DeepResearch Bench54.8%Not measuredOnly Claude Opus 4.5 measured
OSWorld66.3%Not measuredOnly Claude Opus 4.5 measured
Vending-Bench 2$4,967$6,520Muse Spark 1.1
Neither model has a result on the other 16 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index26
Reasoning benchmarks for Claude Opus 4.5 and Muse Spark 1.1
BenchmarkClaude Opus 4.5Muse Spark 1.1Leader
GPQA Diamond85.9%91.2%Muse Spark 1.1
MMMU Pro (Vals AI)83.0%86.6%Muse Spark 1.1
GPQA Diamond (Artificial Analysis run)86.6%89.8%Muse Spark 1.1
Humanity's Last Exam (Artificial Analysis run)30.1%46.2%Muse Spark 1.1
GPQA Diamond (Epoch AI run)86.0%Not measuredOnly Claude Opus 4.5 measured
ARC-AGI80.0%Not measuredOnly Claude Opus 4.5 measured
ARC-AGI-237.6%Not measuredOnly Claude Opus 4.5 measured
SimpleBench62.0%Not measuredOnly Claude Opus 4.5 measured
Chess puzzles14.0%34.0%Muse Spark 1.1
Mystery game puzzles22.0%Not measuredOnly Claude Opus 4.5 measured
EBR-bench14.3%Not measuredOnly Claude Opus 4.5 measured
VPCT40.0%Not measuredOnly Claude Opus 4.5 measured
LMArena Text: hard prompts14761485Muse Spark 1.1
LMArena Text: expert14871478Claude Opus 4.5
LMArena Text: hard prompts in English14821480Claude Opus 4.5
LMArena Vision: diagramsNot measured1305Only Muse Spark 1.1 measured
LMArena Vision: homeworkNot measured1287Only Muse Spark 1.1 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 Opus 4.5 and Muse Spark 1.1
BenchmarkClaude Opus 4.5Muse Spark 1.1Leader
AIME95.4%Not measuredOnly Claude Opus 4.5 measured
MGSM (Vals AI)95.2%Not measuredOnly Claude Opus 4.5 measured
AA Math Index91.3Not measuredOnly Claude Opus 4.5 measured
AIME 2025 (Artificial Analysis run)91.3%Not measuredOnly Claude Opus 4.5 measured
OTIS Mock AIME86.1%Not measuredOnly Claude Opus 4.5 measured
FrontierMath, tiers 1 to 334.4%Not measuredOnly Claude Opus 4.5 measured
FrontierMath, tier 44.9%Not measuredOnly Claude Opus 4.5 measured
ProofBench36.0%39.0%Muse Spark 1.1
LMArena Text: math14631482Muse Spark 1.1
LMArena Text: mathematical work14681487Muse Spark 1.1
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index19
Knowledge benchmarks for Claude Opus 4.5 and Muse Spark 1.1
BenchmarkClaude Opus 4.5Muse Spark 1.1Leader
MMLU Pro87.3%88.7%Muse Spark 1.1
LegalBench (Vals AI)84.6%85.0%Muse Spark 1.1
CaseLaw (Vals AI)62.6%Not measuredOnly Claude Opus 4.5 measured
CorpFin (Vals AI)65.1%71.3%Muse Spark 1.1
TaxEval (Vals AI)74.9%79.7%Muse Spark 1.1
MortgageTax (Vals AI)68.7%66.1%Claude Opus 4.5
MedQA (Vals AI)95.9%Not measuredOnly Claude Opus 4.5 measured
MedCode (Vals AI)49.2%Not measuredOnly Claude Opus 4.5 measured
MMLU Pro (Artificial Analysis run)89.5%Not measuredOnly Claude Opus 4.5 measured
SimpleQA Verified45.7%57.8%Muse Spark 1.1
GeoBench75.0%Not measuredOnly Claude Opus 4.5 measured
LMArena Text: science14541484Muse Spark 1.1
LMArena Text: medicine and healthcare14441479Muse Spark 1.1
LMArena Text: legal and government14591481Muse Spark 1.1
LMArena Text: business and finance14481470Muse Spark 1.1
Neither model has a result on the other 2 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for Claude Opus 4.5 and Muse Spark 1.1
BenchmarkClaude Opus 4.5Muse Spark 1.1Leader
Design Arena: websites12471270Muse Spark 1.1
Design Arena: UI components12381290Muse Spark 1.1
Design Arena: game dev12291269Muse Spark 1.1
Design Arena: data viz12431268Muse Spark 1.1
Design Arena: 3D12141260Muse Spark 1.1
Design Arena: all code categories12421276Muse Spark 1.1
Design Arena: SVG11801234Muse Spark 1.1
Design Arena: ASCII art11901270Muse Spark 1.1
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index518
General benchmarks for Claude Opus 4.5 and Muse Spark 1.1
BenchmarkClaude Opus 4.5Muse Spark 1.1Leader
Public Benefits Bench (Vals AI)Not measured61.3%Only Muse Spark 1.1 measured
SAGE (Vals AI)52.1%45.6%Claude Opus 4.5
MedScribe (Vals AI)85.3%88.9%Muse Spark 1.1
Vals Multimodal IndexNot measured66.7%Only Muse Spark 1.1 measured
IFBench58.0%Not measuredOnly Claude Opus 4.5 measured
Long context reasoning (AA-LCR)77.3%77.7%Muse Spark 1.1
DTBench89.9%94.4%Muse Spark 1.1
LMCA44.5%49.9%Muse Spark 1.1
CL-bench21.1%Not measuredOnly Claude Opus 4.5 measured
Surface Evolver BenchNot measured52.5%Only Muse Spark 1.1 measured
Furniture assembly28.3%Not measuredOnly Claude Opus 4.5 measured
LMArena Text14511478Muse Spark 1.1
LMArena Text: instruction following14781457Claude Opus 4.5
LMArena Text: creative writing14451435Claude Opus 4.5
LMArena VisionNot measured1293Only Muse Spark 1.1 measured
LMArena Text: English14611478Muse Spark 1.1
LMArena Text: non-English14381471Muse Spark 1.1
LMArena Text: Chinese14701515Muse Spark 1.1
LMArena Text: German14491469Muse Spark 1.1
LMArena Text: Japanese14171450Muse Spark 1.1
LMArena Text: Korean14241459Muse Spark 1.1
LMArena Text: French14711492Muse Spark 1.1
LMArena Text: Spanish14571464Muse Spark 1.1
LMArena Text: Russian14471482Muse Spark 1.1
LMArena Text: Polish14391499Muse Spark 1.1
LMArena Text: multi-turn14661484Muse Spark 1.1
LMArena Text: longer queries14791462Claude Opus 4.5
LMArena Text: writing and language14521448Claude Opus 4.5
LMArena Text: entertainment and media14341438Muse Spark 1.1
LMArena Vision: EnglishNot measured1292Only Muse Spark 1.1 measured
LMArena Vision: ChineseNot measured1348Only Muse Spark 1.1 measured
LMArena Vision: reading textNot measured1301Only Muse Spark 1.1 measured
LMArena Vision: humorNot measured1288Only Muse Spark 1.1 measured
LMArena Vision: creative writingNot measured1253Only Muse Spark 1.1 measured
LMArena Document14621465Muse Spark 1.1
Neither model has a result on the other 11 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.5 and Muse Spark 1.1
BenchmarkClaude Opus 4.5Muse 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 Opus 4.5$0.018Fits 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 Opus 4.5$0.325Fits 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 Opus 4.5$1.25Exceeds the context window
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 Opus 4.5 and Muse Spark 1.1
SpecificationAnthropic Claude Opus 4.5Meta Muse Spark 1.1
MakerAnthropicMeta
WeightsNo public weights listedNo public weights listed
ReleasedNovember 24, 2025July 16, 2026
Context window200K1.05M
Input $/Mtok$5.00$1.25
Output $/Mtok$25.00$4.25
Coding index66.848.9
Independent measurements behind it21
Cost per solved task$1.37$0.43
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.5 better than Muse Spark 1.1 for coding?

Pick Claude Opus 4.5 for coding: it scores 66.8 on the Vibe Coding Index against 48.9 for Muse Spark 1.1. Pick Muse Spark 1.1 when output tokens cost 5.9x less, or when a solved task costs $0.43 against $1.37.

Which is cheaper, Claude Opus 4.5 or Muse Spark 1.1?

Claude Opus 4.5 costs $5.00 per million input tokens and $25.00 per million output tokens; Muse Spark 1.1 costs $1.25 and $4.25. Per solved SWE-bench Verified task, Claude Opus 4.5 costs $1.37 and Muse Spark 1.1 $0.43.

Which has the bigger context window, Claude Opus 4.5 or Muse Spark 1.1?

Muse Spark 1.1, with 1.05M tokens against 200K.

How many benchmarks is the Claude Opus 4.5 vs Muse Spark 1.1 comparison based on?

67 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.5's coding index rests on 2 independent benchmarks and Muse Spark 1.1's on 1. Where only one model has a result, the page says so instead of naming a winner.

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