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Muse Wonder vs Inkling 2 Small

Muse Wonder leads Inkling 2 Small on coding, 71.8 to 48.9 on the Vibe Coding Index, and Inkling 2 Small costs 20.0x less per output token ($1.00 vs $20.00 per million). Updated November 14, 2026; 43 benchmarks have a result for both.

Muse WonderMeta
Coding
71.8
Overall
72.6
Output $/M
$20.00
38
T Inkling 2 SmallThinking Machines
Coding
48.9
Overall
56.9
Output $/M
$1.00
5
vs boards won of 43 shared

Muse Wonder or Inkling 2 Small: which to pick

Pick Muse Wonder for coding: it scores 71.8 on the Vibe Coding Index against 48.9 for Inkling 2 Small.

Pick Inkling 2 Small for output tokens 20.0x cheaper ($1.00 vs $20.00 per million) and work measured by LMArena WebDev: React or LMArena WebDev: HTML, where it leads.

Shared results
43
Muse Wonder only
37
Inkling 2 Small only
8
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
Muse Wonder 71.8 from 3 benchmarks, Inkling 2 Small 48.9 from 3 benchmarks.
Widest category
General, 15.9 points apart on average over 13 shared benchmarks.
Widest single gap
Terminal-Bench 4 (Vals AI): Muse Wonder 49.5% against Inkling 2 Small 12.6%, 49.1 points apart on a 0 to 100 scale.
Output price
Muse Wonder $20.00 against Inkling 2 Small $1.00 per million output tokens, 20.0x 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 WonderBarsInkling 2 SmallTies
Coding102
Intelligence10
Agentic work42
Reasoning70
Math10
Knowledge30
General121
All shared boards385
CodingLike-for-likeSix of these boards feed the Vibe Coding Index102
Coding benchmarks for Muse Wonder and Inkling 2 Small
BenchmarkMuse WonderInkling 2 SmallLeader
LMArena WebDev16471647Muse Wonder
Terminal-Bench 4 (Vals AI)49.5%12.6%Muse Wonder
Vibe Code Bench (Vals AI)83.1%81.5%Muse Wonder
Code migration (Vals AI)62.5%Not measuredOnly Muse Wonder measured
ProgramBench (Vals AI)Not measured0.5%Only Inkling 2 Small measured
IOI (Vals AI)66.9%Not measuredOnly Muse Wonder measured
SWE-bench Multimodal (Vals AI)45.6%43.1%Muse Wonder
Vibe Code Bench 1-100 (Vals AI)26.6%Not measuredOnly Muse Wonder measured
CyberBench (Vals AI)80.4%72.7%Muse Wonder
SciCode60.3%52.3%Muse Wonder
Terminal-Bench 4.0 (Artificial Analysis run)52.0%13.1%Muse Wonder
FrontierCode 2.027.9%25.4%Muse Wonder
LMArena Text: coding15161455Muse Wonder
LMArena Text: software and IT15201443Muse Wonder
LMArena WebDev: React16501660Inkling 2 Small
LMArena WebDev: HTML16611661Inkling 2 Small
SWE-Bench Pro V2Not measured97.7%Only Inkling 2 Small measured
GameBench 277.8Not measuredOnly Muse Wonder measured
Terminal-Bench 4.047.0%Not measuredOnly Muse Wonder measured
CursorBench 4.050.4%Not measuredOnly Muse Wonder measured
ProgramBench5.5%Not measuredOnly Muse Wonder measured
Neither model has a result on the other 31 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Muse Wonder and Inkling 2 Small
BenchmarkMuse WonderInkling 2 SmallLeader
AA Intelligence Index43.630.6Muse Wonder
Epoch Capabilities Index161.7Not measuredOnly Muse Wonder measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index42
Agentic work benchmarks for Muse Wonder and Inkling 2 Small
BenchmarkMuse WonderInkling 2 SmallLeader
Design Arena: HTML slides1127Not measuredOnly Muse Wonder measured
Design Arena: PowerPoint slides1029Not measuredOnly Muse Wonder measured
Design Arena: spreadsheets1248Not measuredOnly Muse Wonder measured
SREBench (Vals AI)Not measured1.9%Only Inkling 2 Small measured
Finance Agent (Vals AI)56.6%Not measuredOnly Muse Wonder measured
Tax Agent Bench (Vals AI)36.3%38.9%Inkling 2 Small
Legal Research Bench (Vals AI)50.5%46.6%Muse Wonder
Harvey's Legal Agent Benchmark (Vals AI)23.8%21.7%Muse Wonder
Excel Modeling Benchmark (Vals AI)67.1%Not measuredOnly Muse Wonder measured
BioMysteryBench (Vals AI)67.0%70.0%Inkling 2 Small
Terminal-Bench-Science (Vals AI)22.9%2.9%Muse Wonder
Vals Science Index39.1%32.7%Muse Wonder
CUA-bench (Vals AI)7.2%Not measuredOnly Muse Wonder measured
APEX-AgentsNot measured46.8%Only Inkling 2 Small measured
PostTrainBench24.2%Not measuredOnly Muse Wonder measured
Vending-Bench 2$9,432Not measuredOnly Muse Wonder measured
MCP AtlasNot measured85.4%Only Inkling 2 Small measured
Neither model has a result on the other 27 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index70
Reasoning benchmarks for Muse Wonder and Inkling 2 Small
BenchmarkMuse WonderInkling 2 SmallLeader
MysteryMechanism (Vals AI)27.5%25.2%Muse Wonder
Humanity's Last Exam (Artificial Analysis run)50.1%44.1%Muse Wonder
HLE-Diamond (Artificial Analysis run)39.0%28.7%Muse Wonder
CritPt v2, hard subset (Artificial Analysis run)51.0%35.0%Muse Wonder
ARC-AGINot measured96.5%Only Inkling 2 Small measured
ARC-AGI-2Not measured81.7%Only Inkling 2 Small measured
LMArena Text: hard prompts15141421Muse Wonder
LMArena Text: expert15141478Muse Wonder
LMArena Text: hard prompts in English15191424Muse Wonder
Neither model has a result on the other 17 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index10
Math benchmarks for Muse Wonder and Inkling 2 Small
BenchmarkMuse WonderInkling 2 SmallLeader
ProofBench84.0%Not measuredOnly Muse Wonder measured
LMArena Text: math1478Not measuredOnly Muse Wonder measured
LMArena Text: mathematical work1490Not measuredOnly Muse Wonder measured
MathArena51.3%42.4%Muse Wonder
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index30
Knowledge benchmarks for Muse Wonder and Inkling 2 Small
BenchmarkMuse WonderInkling 2 SmallLeader
AA-Omniscience25.116.1Muse Wonder
LMArena Text: science15111409Muse Wonder
LMArena Text: medicine and healthcare1506Not measuredOnly Muse Wonder measured
LMArena Text: legal and government1520Not measuredOnly Muse Wonder measured
LMArena Text: business and finance14901415Muse Wonder
Neither model has a result on the other 16 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for Muse Wonder and Inkling 2 Small
BenchmarkMuse WonderInkling 2 SmallLeader
Design Arena: websites1378Not measuredOnly Muse Wonder measured
Design Arena: UI components1365Not measuredOnly Muse Wonder measured
Design Arena: game dev1414Not measuredOnly Muse Wonder measured
Design Arena: data viz1289Not measuredOnly Muse Wonder measured
Design Arena: 3D1431Not measuredOnly Muse Wonder measured
Design Arena: all code categories1392Not measuredOnly Muse Wonder measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index121
General benchmarks for Muse Wonder and Inkling 2 Small
BenchmarkMuse WonderInkling 2 SmallLeader
Vals Index64.9%56.1%Muse Wonder
Public Benefits Bench (Vals AI)70.2%Not measuredOnly Muse Wonder measured
SAGE (Vals AI)Not measured88.6%Only Inkling 2 Small measured
Long context reasoning (AA-LCR)80.7%83.3%Inkling 2 Small
GDPval-AA17701630Muse Wonder
DTBench95.2%Not measuredOnly Muse Wonder measured
LMCA56.8%Not measuredOnly Muse Wonder measured
LMArena Text15031403Muse Wonder
LMArena Text: instruction following14941408Muse Wonder
LMArena Text: creative writing14931348Muse Wonder
LMArena Text: English15091418Muse Wonder
LMArena Text: non-English14911390Muse Wonder
LMArena Text: Chinese1536Not measuredOnly Muse Wonder measured
LMArena Text: Japanese1519Not measuredOnly Muse Wonder measured
LMArena Text: Korean1476Not measuredOnly Muse Wonder measured
LMArena Text: French1512Not measuredOnly Muse Wonder measured
LMArena Text: Spanish1477Not measuredOnly Muse Wonder measured
LMArena Text: Russian15141377Muse Wonder
LMArena Text: Polish1537Not measuredOnly Muse Wonder measured
LMArena Text: multi-turn15141408Muse Wonder
LMArena Text: longer queries14971403Muse Wonder
LMArena Text: writing and language14961381Muse Wonder
LMArena Text: entertainment and media14851359Muse Wonder
EQ-Bench 41325Not measuredOnly Muse Wonder measured
Neither model has a result on the other 25 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 2 Small
BenchmarkMuse WonderInkling 2 SmallLeader
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 2 Small$0.0008Fits in one request

Inkling 2 Small costs less

Repository review

50K input + 3K output tokens

Muse Wonder$0.260Fits in one request
Inkling 2 Small$0.018Fits in one request

Inkling 2 Small costs less

Agent loop

200K input + 10K output tokens

Muse Wonder$1.00Fits in one request
Inkling 2 Small$0.070Fits in one request

Inkling 2 Small 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 2 Small
SpecificationMeta Muse WonderThinking Machines Inkling 2 Small
MakerMetaThinking Machines
WeightsNo public weights listedOpen weights
ReleasedOctober 12, 2026November 9, 2026
Context window1.05M1.05M
Input $/Mtok$4.00$0.30
Output $/Mtok$20.00$1.00
Coding index71.848.9
Independent measurements behind it33
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Wonder better than Inkling 2 Small for coding?

Pick Muse Wonder for coding: it scores 71.8 on the Vibe Coding Index against 48.9 for Inkling 2 Small. Pick Inkling 2 Small for output tokens 20.0x cheaper ($1.00 vs $20.00 per million) and work measured by LMArena WebDev: React or LMArena WebDev: HTML, where it leads.

Which is cheaper, Muse Wonder or Inkling 2 Small?

Muse Wonder costs $4.00 per million input tokens and $20.00 per million output tokens; Inkling 2 Small costs $0.30 and $1.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Muse Wonder or Inkling 2 Small?

Neither: both take 1.05M tokens.

How many benchmarks is the Muse Wonder vs Inkling 2 Small comparison based on?

43 benchmarks have a result for both models as of November 14, 2026. Muse Wonder's coding index rests on 3 independent benchmarks and Inkling 2 Small'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-wonder-vs-thinkingmachines-inkling-2-small" title="Muse Wonder vs Inkling 2 Small, 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-2-small">LLMBenchmark.ai, Muse Wonder vs Inkling 2 Small</a></p>