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Claude Opus 4.1 vs Muse Spark 1.2

Muse Spark 1.2 leads Claude Opus 4.1 on the Artificial Analysis Intelligence Index, 39.6 to 22.8, and Muse Spark 1.2 costs 17.6x less per output token ($4.25 vs $75.00 per million). Updated October 22, 2026; 49 benchmarks have a result for both.

Replace Claude Opus 4.1 Replace Muse Spark 1.2
Claude Opus 4.1Anthropic
Coding
No data
Overall
50.2
Output $/M
$75.00
0
Muse Spark 1.2Meta
Coding
55.7
Overall
60.4
Output $/M
$4.25
49
vs boards won of 49 shared

Claude Opus 4.1 or Muse Spark 1.2: which to pick

Only Muse Spark 1.2 has a coding score, 55.7 on the Vibe Coding Index; Claude Opus 4.1 has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Model AClaude Opus 4.1AnthropicNot benchmarked1 independent benchmarkNo cost per solved taskModel BMuse Spark 1.2Meta55.7/1005 independent benchmarks$0.64 per solved task
Shared results
49
Claude Opus 4.1 only
24
Muse Spark 1.2 only
48
Like-for-like categories
7 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 Opus 4.1 not benchmarked, Muse Spark 1.2 55.7 from 5 benchmarks.
Widest category
Web design, 17.3 points apart on average over 8 shared benchmarks.
Widest single gap
LMArena WebDev: HTML: Claude Opus 4.1 1399 against Muse Spark 1.2 1543, 24.0 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.1 $75.00 against Muse Spark 1.2 $4.25 per million output tokens, 17.6x apart.
Context window
Claude Opus 4.1 takes 200K 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 Opus 4.1BarsMuse Spark 1.2Ties
Coding05
Intelligence02
Reasoning05
Math02
Knowledge09
Web design08
General018
All shared boards049
CodingLike-for-likeSix of these boards feed the Vibe Coding Index05
Coding benchmarks for Claude Opus 4.1 and Muse Spark 1.2
BenchmarkClaude Opus 4.1Muse Spark 1.2Leader
LiveBench codingNot measured78.2%Only Muse Spark 1.2 measured
LMArena WebDev13901534Muse Spark 1.2
AA Coding IndexNot measured72.2Only Muse Spark 1.2 measured
LiveCodeBench (Vals AI)66.5%Not measuredOnly Claude Opus 4.1 measured
SWE-bench Verified (Vals AI)Not measured86.6%Only Muse Spark 1.2 measured
Terminal-Bench 4 (Vals AI)Not measured6.1%Only Muse Spark 1.2 measured
Vibe Code Bench (Vals AI)Not measured79.1%Only Muse Spark 1.2 measured
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-Bench38.0%Not measuredOnly Claude Opus 4.1 measured
FrontierSWENot measured12.0%Only Muse Spark 1.2 measured
WeirdML45.9%60.3%Muse Spark 1.2
Cybench42.0%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: coding14791505Muse Spark 1.2
LMArena Text: software and IT14561505Muse Spark 1.2
LMArena WebDev: ReactNot measured1526Only Muse Spark 1.2 measured
LMArena WebDev: HTML13991543Muse Spark 1.2
SciCode4.6%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 16 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Claude Opus 4.1 and Muse Spark 1.2
BenchmarkClaude Opus 4.1Muse Spark 1.2Leader
AA Intelligence Index22.839.6Muse Spark 1.2
Epoch Capabilities Index144.1155.1Muse Spark 1.2
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index21 boards, none shared
Agentic work benchmarks for Claude Opus 4.1 and Muse Spark 1.2
BenchmarkClaude Opus 4.1Muse Spark 1.2Leader
AA Agentic IndexNot measured43.2Only Muse Spark 1.2 measured
Design Arena: agents building web appsNot measured1221Only Muse Spark 1.2 measured
Design Arena: agents building full-stack appsNot measured1210Only Muse Spark 1.2 measured
Design Arena: agents building mobile appsNot measured1181Only Muse Spark 1.2 measured
Design Arena: agents building Android appsNot measured1222Only Muse Spark 1.2 measured
Design Arena: agents building gamesNot measured1179Only Muse Spark 1.2 measured
Design Arena: HTML slidesNot measured1085Only Muse Spark 1.2 measured
Design Arena: PowerPoint slidesNot measured1172Only 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 horizons66.8%Not measuredOnly Claude Opus 4.1 measured
GDPval43.6%Not measuredOnly Claude Opus 4.1 measured
DeepResearch Bench48.3%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 20 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Claude Opus 4.1 and Muse Spark 1.2
BenchmarkClaude Opus 4.1Muse Spark 1.2Leader
GPQA Diamond76.3%Not measuredOnly Claude Opus 4.1 measured
LiveBench reasoningNot measured90.0%Only Muse Spark 1.2 measured
MMMU Pro (Vals AI)77.5%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)77.3%Not measuredOnly Claude Opus 4.1 measured
SimpleBench60.0%74.5%Muse Spark 1.2
Chess puzzlesNot measured27.0%Only Muse Spark 1.2 measured
Mystery game puzzles21.0%Not measuredOnly Claude Opus 4.1 measured
EBR-bench7.9%Not measuredOnly Claude Opus 4.1 measured
VPCT35.0%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: hard prompts14421489Muse Spark 1.2
LMArena Text: expert14381475Muse Spark 1.2
LMArena Text: hard prompts in English14511487Muse Spark 1.2
LMArena Vision: diagramsNot measured1317Only Muse Spark 1.2 measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Claude Opus 4.1 and Muse Spark 1.2
BenchmarkClaude Opus 4.1Muse Spark 1.2Leader
AIME78.2%Not measuredOnly Claude Opus 4.1 measured
MATH 500 (Vals AI)95.4%Not measuredOnly Claude Opus 4.1 measured
MGSM (Vals AI)94.4%Not measuredOnly Claude Opus 4.1 measured
OTIS Mock AIME68.9%Not measuredOnly Claude Opus 4.1 measured
FrontierMath, tiers 1 to 312.6%Not measuredOnly Claude Opus 4.1 measured
FrontierMath, tier 42.4%Not measuredOnly Claude Opus 4.1 measured
ProofBenchNot measured43.0%Only Muse Spark 1.2 measured
LMArena Text: math14311484Muse Spark 1.2
LMArena Text: mathematical work14341480Muse 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 index09
Knowledge benchmarks for Claude Opus 4.1 and Muse Spark 1.2
BenchmarkClaude Opus 4.1Muse Spark 1.2Leader
MMLU Pro87.9%88.3%Muse Spark 1.2
LegalBench (Vals AI)83.5%85.3%Muse Spark 1.2
CorpFin (Vals AI)Not measured70.9%Only Muse Spark 1.2 measured
TaxEval (Vals AI)73.7%80.4%Muse Spark 1.2
MortgageTax (Vals AI)61.1%65.4%Muse Spark 1.2
MedQA (Vals AI)93.6%Not measuredOnly Claude Opus 4.1 measured
MedCode (Vals AI)47.2%49.4%Muse Spark 1.2
SimpleQA VerifiedNot measured60.3%Only Muse Spark 1.2 measured
LMArena Text: science14221500Muse Spark 1.2
LMArena Text: medicine and healthcare14161496Muse Spark 1.2
LMArena Text: legal and government14211517Muse Spark 1.2
LMArena Text: business and finance14061484Muse Spark 1.2
FACTS Benchmark Suite40.4%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for Claude Opus 4.1 and Muse Spark 1.2
BenchmarkClaude Opus 4.1Muse Spark 1.2Leader
Design Arena: websites11761312Muse Spark 1.2
Design Arena: UI components11621298Muse Spark 1.2
Design Arena: game dev11711301Muse Spark 1.2
Design Arena: data viz11661334Muse Spark 1.2
Design Arena: 3D11521301Muse Spark 1.2
Design Arena: all code categories11701312Muse Spark 1.2
Design Arena: SVG11521284Muse Spark 1.2
Design Arena: ASCII art11671284Muse Spark 1.2
LiveBench designNot measured67.1%Only Muse Spark 1.2 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index018
General benchmarks for Claude Opus 4.1 and Muse Spark 1.2
BenchmarkClaude Opus 4.1Muse 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)31.4%47.7%Muse Spark 1.2
MedScribe (Vals AI)73.9%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
DTBench80.0%94.7%Muse Spark 1.2
LMCA37.1%48.4%Muse Spark 1.2
Creative writing (Lech Mazur)84.7%Not measuredOnly Claude Opus 4.1 measured
LMArena Text14191482Muse Spark 1.2
LMArena Text: instruction following14351462Muse Spark 1.2
LMArena Text: creative writing14121436Muse Spark 1.2
LMArena VisionNot measured1304Only Muse Spark 1.2 measured
LMArena Text: English14331483Muse Spark 1.2
LMArena Text: non-English14051476Muse Spark 1.2
LMArena Text: Chinese14271509Muse Spark 1.2
LMArena Text: German1413Not measuredOnly Claude Opus 4.1 measured
LMArena Text: Japanese1377Not measuredOnly Claude Opus 4.1 measured
LMArena Text: Korean13811462Muse Spark 1.2
LMArena Text: French14331495Muse Spark 1.2
LMArena Text: Spanish14481484Muse Spark 1.2
LMArena Text: Russian14221483Muse Spark 1.2
LMArena Text: Polish1413Not measuredOnly Claude Opus 4.1 measured
LMArena Text: multi-turn14441502Muse Spark 1.2
LMArena Text: longer queries14551473Muse Spark 1.2
LMArena Text: writing and language14181453Muse Spark 1.2
LMArena Text: entertainment and media13981443Muse Spark 1.2
LMArena Vision: EnglishNot measured1291Only Muse Spark 1.2 measured
LMArena Vision: reading textNot measured1313Only Muse Spark 1.2 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 Opus 4.1 and Muse Spark 1.2
BenchmarkClaude Opus 4.1Muse 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 Opus 4.1$0.052Fits 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 Opus 4.1$0.975Fits 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 Opus 4.1$3.75Exceeds the context window
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 Opus 4.1 and Muse Spark 1.2
SpecificationAnthropic Claude Opus 4.1Meta Muse Spark 1.2
MakerAnthropicMeta
WeightsNo public weights listedNo public weights listed
ReleasedAugust 5, 2025August 5, 2026
Context window200K1.05M
Input $/Mtok$15.00$1.25
Output $/Mtok$75.00$4.25
Coding indexNot benchmarked55.7
Independent measurements behind it15
Cost per solved taskNot computable$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.1 better than Muse Spark 1.2 for coding?

Only Muse Spark 1.2 has a coding score, 55.7 on the Vibe Coding Index; Claude Opus 4.1 has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, Claude Opus 4.1 or Muse Spark 1.2?

Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 per million output tokens; Muse Spark 1.2 costs $1.25 and $4.25. Cost per solved task is known for Muse Spark 1.2 only.

Which has the bigger context window, Claude Opus 4.1 or Muse Spark 1.2?

Muse Spark 1.2, with 1.05M tokens against 200K.

How many benchmarks is the Claude Opus 4.1 vs Muse Spark 1.2 comparison based on?

49 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.1's coding index rests on 1 independent benchmark and Muse Spark 1.2's on 5. Where only one model has a result, the page says so instead of naming a winner.

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