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Muse Spark 1.1 vs Muse Wonder

Muse Wonder leads Muse Spark 1.1 on coding, 71.9 to 70.3 on the Vibe Coding Index, and Muse Spark 1.1 costs 4.7x less per output token ($4.25 vs $20.00 per million). Updated October 22, 2026; 47 benchmarks have a result for both.

Muse Spark 1.1Meta
Coding
70.3
Overall
67.0
Output $/M
$4.25
1
Muse WonderMeta
Coding
71.9
Overall
No data
Output $/M
$20.00
46
vs boards won of 47 shared

Muse Spark 1.1 or Muse Wonder: which to pick

Muse Spark 1.1 and Muse Wonder are level for coding, 70.3 against 71.9 on the Vibe Coding Index, so price and context decide.

Pick Muse Spark 1.1 for output tokens 4.7x cheaper ($4.25 vs $20.00 per million) and work measured by Finance Agent (Vals AI), where it leads. Pick Muse Wonder for work measured by LMArena WebDev or Vibe Code Bench (Vals AI), where it leads.

Shared results
47
Muse Spark 1.1 only
57
Muse Wonder only
13
Like-for-like categories
8 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
Muse Spark 1.1 70.3 from 3 benchmarks, Muse Wonder 71.9 from 3 benchmarks.
Widest category
Math, 16.7 points apart on average over 3 shared benchmarks.
Widest single gap
ProofBench: Muse Spark 1.1 39.0% against Muse Wonder 84.0%, 45.0 points apart on a 0 to 100 scale.
Output price
Muse Spark 1.1 $4.25 against Muse Wonder $20.00 per million output tokens, 4.7x apart.
Context window
Both take 1.05M tokens.

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
CategoryMuse Spark 1.1BarsMuse WonderTies
Coding08
Intelligence01
Agentic work14
Reasoning04
Math03
Knowledge04
Web design06
General016
All shared boards146
CodingLike-for-likeSix of these boards feed the Vibe Coding Index08
Coding benchmarks for Muse Spark 1.1 and Muse Wonder
BenchmarkMuse Spark 1.1Muse WonderLeader
LMArena WebDev15421652Muse Wonder
AA Coding Index71.3Not measuredOnly Muse Spark 1.1 measured
LiveCodeBench (Vals AI)85.9%Not measuredOnly Muse Spark 1.1 measured
SWE-bench Verified (Vals AI)82.0%Not measuredOnly Muse Spark 1.1 measured
Terminal-Bench 4 (Vals AI)Not measured49.5%Only Muse Wonder measured
Vibe Code Bench (Vals AI)72.2%83.1%Muse Wonder
Code migration (Vals AI)31.1%62.5%Muse Wonder
ProgramBench (Vals AI)0.0%Not measuredOnly Muse Spark 1.1 measured
IOI (Vals AI)Not measured66.9%Only Muse Wonder measured
Terminal-Bench 2.1 (Vals AI)69.3%Not measuredOnly Muse Spark 1.1 measured
SWE-bench Multimodal (Vals AI)Not measured45.6%Only Muse Wonder measured
Vibe Code Bench 1-100 (Vals AI)Not measured26.6%Only Muse Wonder measured
SkillsBench (Vals AI)59.2%Not measuredOnly Muse Spark 1.1 measured
CyberBench (Vals AI)Not measured80.4%Only Muse Wonder measured
SciCode58.8%60.3%Muse Wonder
LMArena Text: coding14981522Muse Wonder
LMArena Text: software and IT14981515Muse Wonder
LMArena WebDev: React15321641Muse Wonder
LMArena WebDev: HTML15401694Muse Wonder
LMArena WebDev: from an image1540Not measuredOnly Muse Spark 1.1 measured
SWE Atlas: Codebase QnA42.2%Not measuredOnly Muse Spark 1.1 measured
SWE Atlas: Test Writing41.5%Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Muse Spark 1.1 and Muse Wonder
BenchmarkMuse Spark 1.1Muse WonderLeader
AA Intelligence Index33.7Not measuredOnly Muse Spark 1.1 measured
Epoch Capabilities Index154.1161.8Muse Wonder
Agentic workLike-for-likePublic boards, shown as published, kept out of the index14
Agentic work benchmarks for Muse Spark 1.1 and Muse Wonder
BenchmarkMuse Spark 1.1Muse WonderLeader
AA Agentic Index25.8Not measuredOnly Muse Spark 1.1 measured
Design Arena: agents building web apps1207Not measuredOnly Muse Spark 1.1 measured
Design Arena: agents building full-stack apps1199Not measuredOnly Muse Spark 1.1 measured
Design Arena: agents building mobile apps1175Not measuredOnly Muse Spark 1.1 measured
Design Arena: agents building Android apps1178Not measuredOnly Muse Spark 1.1 measured
Design Arena: agents building Godot games1103Not measuredOnly Muse Spark 1.1 measured
Design Arena: agents building games1183Not measuredOnly Muse Spark 1.1 measured
Design Arena: HTML slides1145Not measuredOnly Muse Spark 1.1 measured
Design Arena: PowerPoint slides1134Not measuredOnly Muse Spark 1.1 measured
Design Arena: spreadsheets10211258Muse Wonder
Finance Agent (Vals AI)57.2%56.6%Muse Spark 1.1
Tax Agent Bench (Vals AI)Not measured36.3%Only Muse Wonder measured
Legal Research Bench (Vals AI)38.0%50.5%Muse Wonder
Harvey's Legal Agent Benchmark (Vals AI)Not measured23.8%Only Muse Wonder measured
Excel Modeling Benchmark (Vals AI)56.4%67.1%Muse Wonder
BioMysteryBench (Vals AI)Not measured67.0%Only Muse Wonder measured
Terminal-Bench-Science (Vals AI)Not measured22.9%Only Muse Wonder measured
Vals Science IndexNot measured39.1%Only Muse Wonder measured
Time Horizon Index (Vals AI)1.7%Not measuredOnly Muse Spark 1.1 measured
CUA-bench (Vals AI)Not measured7.2%Only Muse Wonder measured
APEX-Agents31.8%Not measuredOnly Muse Spark 1.1 measured
Vending-Bench 2$6,520$9,432Muse Wonder
MCP Atlas88.1%Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 19 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index04
Reasoning benchmarks for Muse Spark 1.1 and Muse Wonder
BenchmarkMuse Spark 1.1Muse WonderLeader
GPQA Diamond91.2%Not measuredOnly Muse Spark 1.1 measured
MysteryMechanism (Vals AI)Not measured27.5%Only Muse Wonder measured
MMMU Pro (Vals AI)86.6%Not measuredOnly Muse Spark 1.1 measured
GPQA Diamond (Artificial Analysis run)89.8%Not measuredOnly Muse Spark 1.1 measured
Humanity's Last Exam (Artificial Analysis run)46.2%50.1%Muse Wonder
Chess puzzles34.0%Not measuredOnly Muse Spark 1.1 measured
LMArena Text: hard prompts14851506Muse Wonder
LMArena Text: expert14781513Muse Wonder
LMArena Text: hard prompts in English14801506Muse Wonder
LMArena Vision: diagrams1305Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: homework1287Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for Muse Spark 1.1 and Muse Wonder
BenchmarkMuse Spark 1.1Muse WonderLeader
ProofBench39.0%84.0%Muse Wonder
LMArena Text: math14821486Muse Wonder
LMArena Text: mathematical work14871514Muse Wonder
MathArena42.5%Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Muse Spark 1.1 and Muse Wonder
BenchmarkMuse Spark 1.1Muse WonderLeader
MMLU Pro88.7%Not measuredOnly Muse Spark 1.1 measured
LegalBench (Vals AI)85.0%Not measuredOnly Muse Spark 1.1 measured
CorpFin (Vals AI)71.3%Not measuredOnly Muse Spark 1.1 measured
TaxEval (Vals AI)79.7%Not measuredOnly Muse Spark 1.1 measured
MortgageTax (Vals AI)66.1%Not measuredOnly Muse Spark 1.1 measured
SimpleQA Verified57.8%Not measuredOnly Muse Spark 1.1 measured
LMArena Text: science14841506Muse Wonder
LMArena Text: medicine and healthcare14791512Muse Wonder
LMArena Text: legal and government14811505Muse Wonder
LMArena Text: business and finance14701483Muse Wonder
PRBench Finance55.0%Not measuredOnly Muse Spark 1.1 measured
PRBench Legal57.0%Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 8 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index06
Web design benchmarks for Muse Spark 1.1 and Muse Wonder
BenchmarkMuse Spark 1.1Muse WonderLeader
Design Arena: websites12701363Muse Wonder
Design Arena: UI components12871380Muse Wonder
Design Arena: game dev12691379Muse Wonder
Design Arena: data viz12671312Muse Wonder
Design Arena: 3D12591428Muse Wonder
Design Arena: all code categories12761372Muse Wonder
Design Arena: SVG1234Not measuredOnly Muse Spark 1.1 measured
Design Arena: ASCII art1269Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index016
General benchmarks for Muse Spark 1.1 and Muse Wonder
BenchmarkMuse Spark 1.1Muse WonderLeader
Vals IndexNot measured64.9%Only Muse Wonder measured
Public Benefits Bench (Vals AI)61.3%70.2%Muse Wonder
SAGE (Vals AI)45.6%Not measuredOnly Muse Spark 1.1 measured
MedScribe (Vals AI)88.9%Not measuredOnly Muse Spark 1.1 measured
Vals Multimodal Index66.7%Not measuredOnly Muse Spark 1.1 measured
Long context reasoning (AA-LCR)77.7%80.7%Muse Wonder
DTBench94.4%95.2%Muse Wonder
LMCA49.9%56.8%Muse Wonder
Surface Evolver Bench52.5%Not measuredOnly Muse Spark 1.1 measured
LMArena Text14781502Muse Wonder
LMArena Text: instruction following14571491Muse Wonder
LMArena Text: creative writing14351491Muse Wonder
LMArena Vision1293Not measuredOnly Muse Spark 1.1 measured
LMArena Text: English14781507Muse Wonder
LMArena Text: non-English14711492Muse Wonder
LMArena Text: Chinese15151537Muse Wonder
LMArena Text: German1469Not measuredOnly Muse Spark 1.1 measured
LMArena Text: Japanese1450Not measuredOnly Muse Spark 1.1 measured
LMArena Text: Korean1459Not measuredOnly Muse Spark 1.1 measured
LMArena Text: French14921523Muse Wonder
LMArena Text: Spanish1464Not measuredOnly Muse Spark 1.1 measured
LMArena Text: Russian14821522Muse Wonder
LMArena Text: Polish1499Not measuredOnly Muse Spark 1.1 measured
LMArena Text: multi-turn14841510Muse Wonder
LMArena Text: longer queries14621493Muse Wonder
LMArena Text: writing and language14481496Muse Wonder
LMArena Text: entertainment and media14381482Muse Wonder
LMArena Vision: English1292Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: Chinese1348Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: reading text1301Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: humor1288Not measuredOnly Muse Spark 1.1 measured
LMArena Vision: creative writing1253Not measuredOnly Muse Spark 1.1 measured
LMArena Document1465Not measuredOnly Muse Spark 1.1 measured
MultiChallenge75.3%Not measuredOnly Muse Spark 1.1 measured
EQ-Bench 41260Not measuredOnly Muse Spark 1.1 measured
Neither model has a result on the other 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Muse Spark 1.1 and Muse Wonder
BenchmarkMuse Spark 1.1Muse WonderLeader
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

Muse Spark 1.1$0.0034Fits in one request
Muse Wonder$0.014Fits in one request

Muse Spark 1.1 costs less

Repository review

50K input + 3K output tokens

Muse Spark 1.1$0.075Fits in one request
Muse Wonder$0.260Fits in one request

Muse Spark 1.1 costs less

Agent loop

200K input + 10K output tokens

Muse Spark 1.1$0.292Fits in one request
Muse Wonder$1.00Fits 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 Muse Spark 1.1 and Muse Wonder
SpecificationMeta Muse Spark 1.1Meta Muse Wonder
MakerMetaMeta
WeightsNo public weights listedNo public weights listed
ReleasedJuly 16, 2026October 12, 2026
Context window1.05M1.05M
Input $/Mtok$1.25$4.00
Output $/Mtok$4.25$20.00
Coding index70.371.9
Independent measurements behind it33
Cost per solved task$0.43Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Spark 1.1 better than Muse Wonder for coding?

Muse Spark 1.1 and Muse Wonder are level for coding, 70.3 against 71.9 on the Vibe Coding Index, so price and context decide. Pick Muse Spark 1.1 for output tokens 4.7x cheaper ($4.25 vs $20.00 per million) and work measured by Finance Agent (Vals AI), where it leads. Pick Muse Wonder for work measured by LMArena WebDev or Vibe Code Bench (Vals AI), where it leads.

Which is cheaper, Muse Spark 1.1 or Muse Wonder?

Muse Spark 1.1 costs $1.25 per million input tokens and $4.25 per million output tokens; Muse Wonder costs $4.00 and $20.00. Cost per solved task is known for Muse Spark 1.1 only.

Which has the bigger context window, Muse Spark 1.1 or Muse Wonder?

Neither: both take 1.05M tokens.

How many benchmarks is the Muse Spark 1.1 vs Muse Wonder comparison based on?

47 benchmarks have a result for both models as of October 22, 2026. Muse Spark 1.1's coding index rests on 3 independent benchmarks and Muse Wonder's on 3. Where only one model has a result, the page says so instead of naming a winner.

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<iframe src="https://llmbenchmark.ai/embed/compare/meta-muse-spark-1-1-vs-meta-muse-wonder" title="Muse Spark 1.1 vs Muse Wonder, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/meta-muse-spark-1-1-vs-meta-muse-wonder">LLMBenchmark.ai, Muse Spark 1.1 vs Muse Wonder</a></p>