Enter opens the highlighted result. Esc closes.

Muse Wonder vs Inkling

Muse Wonder leads Inkling on coding, 71.9 to 31.5 on the Vibe Coding Index, and Inkling costs 4.9x less per output token ($4.05 vs $20.00 per million). Updated October 22, 2026; 52 benchmarks have a result for both.

Muse WonderMeta
Coding
71.9
Overall
No data
Output $/M
$20.00
52
T InklingThinking Machines
Coding
31.5
Overall
46.5
Output $/M
$4.05
0
vs boards won of 52 shared

Muse Wonder or Inkling: which to pick

Pick Muse Wonder for coding: it scores 71.9 on the Vibe Coding Index against 31.5 for Inkling, though on 3 benchmarks against 6.

Pick Inkling for output tokens 4.9x cheaper ($4.05 vs $20.00 per million).

Shared results
52
Muse Wonder only
8
Inkling only
50
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 Wonder 71.9 from 3 benchmarks, Inkling 31.5 from 6 benchmarks.
Widest category
Coding, 33.0 points apart on average over 12 shared benchmarks.
Widest single gap
ProofBench: Muse Wonder 84.0% against Inkling 0.0%, 84.0 points apart on a 0 to 100 scale.
Output price
Muse Wonder $20.00 against Inkling $4.05 per million output tokens, 4.9x apart.
Context window
Muse Wonder takes 1.05M tokens, Inkling 524K.

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 WonderBarsInklingTies
Coding120
Intelligence10
Agentic work50
Reasoning40
Math30
Knowledge40
Web design60
General170
All shared boards520
CodingLike-for-likeSix of these boards feed the Vibe Coding Index120
Coding benchmarks for Muse Wonder and Inkling
BenchmarkMuse WonderInklingLeader
LiveBench codingNot measured64.0%Only Inkling measured
LMArena WebDev16521414Muse Wonder
AA Coding IndexNot measured52.1Only Inkling measured
LiveCodeBench (Vals AI)Not measured85.5%Only Inkling measured
SWE-bench Verified (Vals AI)Not measured77.6%Only Inkling measured
Terminal-Bench 4 (Vals AI)49.5%0.5%Muse Wonder
Vibe Code Bench (Vals AI)83.1%19.2%Muse Wonder
Code migration (Vals AI)62.5%11.8%Muse Wonder
ProgramBench (Vals AI)Not measured0.0%Only Inkling measured
IOI (Vals AI)66.9%14.9%Muse Wonder
Terminal-Bench 2.1 (Vals AI)Not measured47.6%Only Inkling measured
SWE-bench Multimodal (Vals AI)45.6%Not measuredOnly Muse Wonder measured
Vibe Code Bench 1-100 (Vals AI)26.6%7.3%Muse Wonder
SkillsBench (Vals AI)Not measured26.1%Only Inkling measured
CyberBench (Vals AI)80.4%66.8%Muse Wonder
SciCode60.3%47.0%Muse Wonder
FrontierCodeNot measured14.0%Only Inkling measured
FrontierSWENot measured4.1%Only Inkling measured
WeirdMLNot measured32.3%Only Inkling measured
ALE-BenchNot measured946.0Only Inkling measured
LMArena Text: coding15221466Muse Wonder
LMArena Text: software and IT15151465Muse Wonder
LMArena WebDev: React16411404Muse Wonder
LMArena WebDev: HTML16941399Muse Wonder
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Muse Wonder and Inkling
BenchmarkMuse WonderInklingLeader
AA Intelligence IndexNot measured25.0Only Inkling measured
Epoch Capabilities Index161.8148.4Muse Wonder
Agentic workLike-for-likePublic boards, shown as published, kept out of the index50
Agentic work benchmarks for Muse Wonder and Inkling
BenchmarkMuse WonderInklingLeader
AA Agentic IndexNot measured22.5Only Inkling measured
Design Arena: agents building web appsNot measured1196Only Inkling measured
Design Arena: spreadsheets1243Not measuredOnly Muse Wonder measured
LiveBench researchNot measured59.9%Only Inkling measured
LiveBench browserNot measured16.0%Only Inkling measured
LiveBench long agenticNot measured14.1%Only Inkling measured
SREBench (Vals AI)Not measured0.0%Only Inkling measured
Finance Agent (Vals AI)56.6%46.6%Muse Wonder
Tax Agent Bench (Vals AI)36.3%15.3%Muse Wonder
Legal Research Bench (Vals AI)50.5%28.4%Muse Wonder
Harvey's Legal Agent Benchmark (Vals AI)23.8%3.8%Muse Wonder
Excel Modeling Benchmark (Vals AI)67.1%38.4%Muse Wonder
BioMysteryBench (Vals AI)67.0%Not measuredOnly Muse Wonder measured
Terminal-Bench-Science (Vals AI)22.9%Not measuredOnly Muse Wonder measured
Vals Science Index39.1%Not measuredOnly Muse Wonder measured
CUA-bench (Vals AI)7.2%Not measuredOnly Muse Wonder measured
APEX-AgentsNot measured33.8%Only Inkling measured
Vending-Bench 2$9,432Not measuredOnly Muse Wonder measured
Neither model has a result on the other 23 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
Reasoning benchmarks for Muse Wonder and Inkling
BenchmarkMuse WonderInklingLeader
GPQA DiamondNot measured87.1%Only Inkling measured
LiveBench reasoningNot measured78.3%Only Inkling measured
MysteryMechanism (Vals AI)27.5%Not measuredOnly Muse Wonder measured
MMMU Pro (Vals AI)Not measured78.5%Only Inkling measured
GPQA Diamond (Artificial Analysis run)Not measured87.2%Only Inkling measured
Humanity's Last Exam (Artificial Analysis run)50.1%31.9%Muse Wonder
GPQA Diamond (Epoch AI run)Not measured88.3%Only Inkling measured
ARC-AGINot measured79.5%Only Inkling measured
ARC-AGI-2Not measured36.5%Only Inkling measured
SimpleBenchNot measured50.0%Only Inkling measured
Chess puzzlesNot measured21.0%Only Inkling measured
LMArena Text: hard prompts15061451Muse Wonder
LMArena Text: expert15131466Muse Wonder
LMArena Text: hard prompts in English15061448Muse Wonder
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Muse Wonder and Inkling
BenchmarkMuse WonderInklingLeader
OTIS Mock AIMENot measured88.9%Only Inkling measured
FrontierMath, tiers 1 to 3Not measured33.3%Only Inkling measured
FrontierMath, tier 4Not measured4.9%Only Inkling measured
ProofBench84.0%0.0%Muse Wonder
LMArena Text: math14861479Muse Wonder
LMArena Text: mathematical work15141460Muse Wonder
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Muse Wonder and Inkling
BenchmarkMuse WonderInklingLeader
MMLU ProNot measured86.3%Only Inkling measured
LegalBench (Vals AI)Not measured83.0%Only Inkling measured
CorpFin (Vals AI)Not measured68.6%Only Inkling measured
TaxEval (Vals AI)Not measured75.3%Only Inkling measured
MortgageTax (Vals AI)Not measured64.0%Only Inkling measured
MedCode (Vals AI)Not measured41.2%Only Inkling measured
SimpleQA VerifiedNot measured40.3%Only Inkling measured
LMArena Text: science15061455Muse Wonder
LMArena Text: medicine and healthcare15121447Muse Wonder
LMArena Text: legal and government15051448Muse Wonder
LMArena Text: business and finance14831438Muse Wonder
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for Muse Wonder and Inkling
BenchmarkMuse WonderInklingLeader
Design Arena: websites13621224Muse Wonder
Design Arena: UI components13791198Muse Wonder
Design Arena: game dev13761165Muse Wonder
Design Arena: data viz13171156Muse Wonder
Design Arena: 3D14271160Muse Wonder
Design Arena: all code categories13711205Muse Wonder
Design Arena: SVGNot measured1108Only Inkling measured
Design Arena: ASCII artNot measured1089Only Inkling measured
LiveBench designNot measured58.3%Only Inkling measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index170
General benchmarks for Muse Wonder and Inkling
BenchmarkMuse WonderInklingLeader
Vals Index64.9%29.0%Muse Wonder
LiveBench data analysisNot measured72.8%Only Inkling measured
Public Benefits Bench (Vals AI)70.2%58.5%Muse Wonder
SAGE (Vals AI)Not measured36.5%Only Inkling measured
MedScribe (Vals AI)Not measured85.4%Only Inkling measured
Vals Multimodal IndexNot measured49.4%Only Inkling measured
Long context reasoning (AA-LCR)80.7%77.3%Muse Wonder
DTBench95.2%87.5%Muse Wonder
LMCA56.8%37.6%Muse Wonder
LMArena Text15021442Muse Wonder
LMArena Text: instruction following14911425Muse Wonder
LMArena Text: creative writing14911390Muse Wonder
LMArena Text: English15071442Muse Wonder
LMArena Text: non-English14921434Muse Wonder
LMArena Text: Chinese15371493Muse Wonder
LMArena Text: GermanNot measured1445Only Inkling measured
LMArena Text: JapaneseNot measured1429Only Inkling measured
LMArena Text: KoreanNot measured1403Only Inkling measured
LMArena Text: French15231455Muse Wonder
LMArena Text: SpanishNot measured1449Only Inkling measured
LMArena Text: Russian15221430Muse Wonder
LMArena Text: PolishNot measured1450Only Inkling measured
LMArena Text: multi-turn15101437Muse Wonder
LMArena Text: longer queries14931435Muse Wonder
LMArena Text: writing and language14961404Muse Wonder
LMArena Text: entertainment and media14821394Muse Wonder
Neither model has a result on the other 20 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Muse Wonder and Inkling
BenchmarkMuse WonderInklingLeader
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 Wonder$0.014Fits in one request
Inkling$0.0030Fits in one request

Inkling costs less

Repository review

50K input + 3K output tokens

Muse Wonder$0.260Fits in one request
Inkling$0.061Fits in one request

Inkling costs less

Agent loop

200K input + 10K output tokens

Muse Wonder$1.00Fits in one request
Inkling$0.235Fits in one request

Inkling 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 Wonder and Inkling
SpecificationMeta Muse WonderThinking Machines Inkling
MakerMetaThinking Machines
WeightsNo public weights listedOpen weights
ReleasedOctober 12, 2026July 17, 2026
Context window1.05M524K
Input $/Mtok$4.00$0.975
Output $/Mtok$20.00$4.05
Coding index71.931.5
Independent measurements behind it36
Cost per solved taskNot computable$0.76
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Wonder better than Inkling for coding?

Pick Muse Wonder for coding: it scores 71.9 on the Vibe Coding Index against 31.5 for Inkling, though on 3 benchmarks against 6. Pick Inkling for output tokens 4.9x cheaper ($4.05 vs $20.00 per million).

Which is cheaper, Muse Wonder or Inkling?

Muse Wonder costs $4.00 per million input tokens and $20.00 per million output tokens; Inkling costs $0.975 and $4.05. Cost per solved task is known for Inkling only.

Which has the bigger context window, Muse Wonder or Inkling?

Muse Wonder, with 1.05M tokens against 524K.

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

52 benchmarks have a result for both models as of October 22, 2026. Muse Wonder's coding index rests on 3 independent benchmarks and Inkling's on 6. Where only one model has a result, the page says so instead of naming a winner.

Compare next

Embed this comparison on your site

Free under CC BY 4.0, while the source link stays visible. Preview the frame · Terms and other embeds

<iframe src="https://llmbenchmark.ai/embed/compare/meta-muse-wonder-vs-thinkingmachines-inkling" title="Muse Wonder vs Inkling, 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-wonder-vs-thinkingmachines-inkling">LLMBenchmark.ai, Muse Wonder vs Inkling</a></p>