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Claude Opus 4.1 vs Muse Spark Open

Updated October 21, 2026. 5 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Claude Opus 4.1Anthropic
Coding
27.2
Overall
22.8
Output $/M
$75.00
0
Muse Spark OpenMeta
Coding
62.1
Overall
No data
Output $/M
$4.25
5
vs boards won of 5 shared

Decision reading

Pick Muse Spark Open for coding: it scores 62.1 on the Vibe Coding Index against 27.2 for Claude Opus 4.1.

Claude Opus 4.1 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Shared results
5
Claude Opus 4.1 only
66
Muse Spark Open only
21
Like-for-like categories
3 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 4.1 27.2 from 1 benchmark, Muse Spark Open 62.1 from 2 benchmarks.
Widest category
Coding, 17.9 points apart on average over 2 shared benchmarks.
Widest single gap
LMArena WebDev: Claude Opus 4.1 1390 against Muse Spark Open 1528, 19.7 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.1 $75.00 against Muse Spark Open $4.25 per million output tokens, 17.6x apart.
Context window
Claude Opus 4.1 takes 200K tokens, Muse Spark Open 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 OpenTies
Coding02
Intelligence01
Web design02
All shared boards05
CodingLike-for-likeFour of these boards feed the Vibe Coding Index02
Coding benchmarks for Claude Opus 4.1 and Muse Spark Open
BenchmarkClaude Opus 4.1Muse Spark OpenLeader
LiveBench codingNot measured73.6%Only Muse Spark Open measured
LMArena WebDev13901528Muse Spark Open
LiveCodeBench (Vals AI)66.5%Not measuredOnly Claude Opus 4.1 measured
Terminal-Bench 4 (Vals AI)Not measured6.6%Only Muse Spark Open measured
Vibe Code Bench (Vals AI)Not measured76.2%Only Muse Spark Open measured
Code migration (Vals AI)Not measured21.2%Only Muse Spark Open measured
SciCodeNot measured58.4%Only Muse Spark Open measured
Terminal-Bench38.0%Not measuredOnly Claude Opus 4.1 measured
WeirdML45.9%Not measuredOnly Claude Opus 4.1 measured
Cybench42.0%Not measuredOnly Claude Opus 4.1 measured
ALE-BenchNot measured1590.1Only Muse Spark Open measured
LMArena Text: coding1479Not measuredOnly Claude Opus 4.1 measured
LMArena Text: software and IT1456Not measuredOnly Claude Opus 4.1 measured
LMArena WebDev: ReactNot measured1529Only Muse Spark Open measured
LMArena WebDev: HTML13991495Muse Spark Open
Neither model has a result on the other 23 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Claude Opus 4.1 and Muse Spark Open
BenchmarkClaude Opus 4.1Muse Spark OpenLeader
AA Intelligence Index22.8Not measuredOnly Claude Opus 4.1 measured
Epoch Capabilities Index144.1155.1Muse Spark Open
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
Agentic work benchmarks for Claude Opus 4.1 and Muse Spark Open
BenchmarkClaude Opus 4.1Muse Spark OpenLeader
LiveBench researchNot measured80.3%Only Muse Spark Open measured
LiveBench browserNot measured36.0%Only Muse Spark Open measured
LiveBench long agenticNot measured18.9%Only Muse Spark Open measured
Finance Agent (Vals AI)Not measured61.3%Only Muse Spark Open measured
Tax Agent Bench (Vals AI)Not measured26.3%Only Muse Spark Open measured
Legal Research Bench (Vals AI)Not measured38.5%Only Muse Spark Open measured
Excel Modeling Benchmark (Vals AI)Not measured53.7%Only Muse Spark Open measured
APEX-AgentsNot measured33.4%Only Muse Spark Open 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 28 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index13 boards, none shared
Reasoning benchmarks for Claude Opus 4.1 and Muse Spark Open
BenchmarkClaude Opus 4.1Muse Spark OpenLeader
GPQA Diamond76.3%Not measuredOnly Claude Opus 4.1 measured
LiveBench reasoningNot measured73.7%Only Muse Spark Open measured
MMMU Pro (Vals AI)77.5%Not measuredOnly Claude Opus 4.1 measured
GPQA Diamond (Artificial Analysis run)Not measured89.0%Only Muse Spark Open measured
Humanity's Last Exam (Artificial Analysis run)Not measured43.9%Only Muse Spark Open measured
GPQA Diamond (Epoch AI run)77.3%Not measuredOnly Claude Opus 4.1 measured
SimpleBench60.0%Not measuredOnly Claude Opus 4.1 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 prompts1442Not measuredOnly Claude Opus 4.1 measured
LMArena Text: expert1438Not measuredOnly Claude Opus 4.1 measured
LMArena Text: hard prompts in English1451Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 8 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Math benchmarks for Claude Opus 4.1 and Muse Spark Open
BenchmarkClaude Opus 4.1Muse Spark OpenLeader
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
LMArena Text: math1431Not measuredOnly Claude Opus 4.1 measured
LMArena Text: mathematical work1434Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 5 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
Knowledge benchmarks for Claude Opus 4.1 and Muse Spark Open
BenchmarkClaude Opus 4.1Muse Spark OpenLeader
MMLU Pro87.9%Not measuredOnly Claude Opus 4.1 measured
LegalBench (Vals AI)83.5%Not measuredOnly Claude Opus 4.1 measured
TaxEval (Vals AI)73.7%Not measuredOnly Claude Opus 4.1 measured
MortgageTax (Vals AI)61.1%Not measuredOnly Claude Opus 4.1 measured
MedQA (Vals AI)93.6%Not measuredOnly Claude Opus 4.1 measured
MedCode (Vals AI)47.2%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: science1422Not measuredOnly Claude Opus 4.1 measured
LMArena Text: medicine and healthcare1416Not measuredOnly Claude Opus 4.1 measured
LMArena Text: legal and government1421Not measuredOnly Claude Opus 4.1 measured
LMArena Text: business and finance1406Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index02
Web design benchmarks for Claude Opus 4.1 and Muse Spark Open
BenchmarkClaude Opus 4.1Muse Spark OpenLeader
Design Arena: websites11771311Muse Spark Open
Design Arena: UI components1164Not measuredOnly Claude Opus 4.1 measured
Design Arena: game dev11721290Muse Spark Open
Design Arena: data viz1166Not measuredOnly Claude Opus 4.1 measured
Design Arena: 3D1153Not measuredOnly Claude Opus 4.1 measured
Design Arena: all code categories1171Not measuredOnly Claude Opus 4.1 measured
Design Arena: SVG1152Not measuredOnly Claude Opus 4.1 measured
Design Arena: ASCII art1167Not measuredOnly Claude Opus 4.1 measured
LiveBench designNot measured60.3%Only Muse Spark Open measured
GeneralDirectional onlyPublic boards, shown as published, kept out of the index24 boards, none shared
General benchmarks for Claude Opus 4.1 and Muse Spark Open
BenchmarkClaude Opus 4.1Muse Spark OpenLeader
LiveBench data analysisNot measured60.2%Only Muse Spark Open measured
SAGE (Vals AI)31.4%Not measuredOnly Claude Opus 4.1 measured
MedScribe (Vals AI)73.9%Not measuredOnly Claude Opus 4.1 measured
Long context reasoning (AA-LCR)Not measured78.3%Only Muse Spark Open measured
DTBench80.0%Not measuredOnly Claude Opus 4.1 measured
LMCA37.1%Not measuredOnly Claude Opus 4.1 measured
Creative writing (Lech Mazur)84.7%Not measuredOnly Claude Opus 4.1 measured
LMArena Text1419Not measuredOnly Claude Opus 4.1 measured
LMArena Text: instruction following1435Not measuredOnly Claude Opus 4.1 measured
LMArena Text: creative writing1412Not measuredOnly Claude Opus 4.1 measured
LMArena Text: English1433Not measuredOnly Claude Opus 4.1 measured
LMArena Text: non-English1405Not measuredOnly Claude Opus 4.1 measured
LMArena Text: Chinese1427Not measuredOnly Claude Opus 4.1 measured
LMArena Text: German1413Not measuredOnly Claude Opus 4.1 measured
LMArena Text: Japanese1377Not measuredOnly Claude Opus 4.1 measured
LMArena Text: Korean1381Not measuredOnly Claude Opus 4.1 measured
LMArena Text: French1433Not measuredOnly Claude Opus 4.1 measured
LMArena Text: Spanish1448Not measuredOnly Claude Opus 4.1 measured
LMArena Text: Russian1422Not measuredOnly Claude Opus 4.1 measured
LMArena Text: Polish1413Not measuredOnly Claude Opus 4.1 measured
LMArena Text: multi-turn1444Not measuredOnly Claude Opus 4.1 measured
LMArena Text: longer queries1455Not measuredOnly Claude Opus 4.1 measured
LMArena Text: writing and language1418Not measuredOnly Claude Opus 4.1 measured
LMArena Text: entertainment and media1398Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 22 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 Open
BenchmarkClaude Opus 4.1Muse Spark OpenLeader
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 Open$0.0034Fits in one request

Muse Spark Open costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.1$0.975Fits in one request
Muse Spark Open$0.075Fits in one request

Muse Spark Open costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.1$3.75Exceeds the context window
Muse Spark Open$0.292Fits in one request

Muse Spark Open 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 Open
SpecificationAnthropic Claude Opus 4.1Meta Muse Spark Open
MakerAnthropicMeta
WeightsNo public weights listedOpen weights
ReleasedAugust 5, 2025October 15, 2026
Context window200K1.05M
Input $/Mtok$15.00$1.25
Output $/Mtok$75.00$4.25
Coding index27.262.1
Independent measurements behind it12
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick Muse Spark Open for coding: it scores 62.1 on the Vibe Coding Index against 27.2 for Claude Opus 4.1. Claude Opus 4.1 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

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

Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 per million output tokens; Muse Spark Open costs $1.25 and $4.25. Cost per solved task is known for neither of them.

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

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

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

5 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.1's coding index rests on 1 independent benchmark and Muse Spark Open's on 2. Where only one model has a result, the page says so instead of naming a winner.

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