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Grok Build 0.1 vs Muse Wonder

Grok Build 0.1 costs 10.0x less per output token than Muse Wonder ($2.00 vs $20.00 per million). Updated October 22, 2026; 1 benchmarks have a result for both.

Grok Build 0.1xAI
Coding
No data
Overall
No data
Output $/M
$2.00
0
Muse WonderMeta
Coding
71.9
Overall
No data
Output $/M
$20.00
1
vs boards won of 1 shared

Grok Build 0.1 or Muse Wonder: which to pick

Only Muse Wonder has a coding score, 71.9 on the Vibe Coding Index; Grok Build 0.1 has none, so the two cannot be ranked on coding.

Pick Grok Build 0.1 for output tokens 10.0x cheaper ($2.00 vs $20.00 per million).

Shared results
1
Grok Build 0.1 only
2
Muse Wonder only
59
Like-for-like categories
1 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
Grok Build 0.1 not benchmarked, Muse Wonder 71.9 from 3 benchmarks.
Widest category
Coding, 69.7 points apart on average over 1 shared benchmark.
Widest single gap
Vibe Code Bench (Vals AI): Grok Build 0.1 13.4% against Muse Wonder 83.1%, 69.7 points apart on a 0 to 100 scale.
Output price
Grok Build 0.1 $2.00 against Muse Wonder $20.00 per million output tokens, 10.0x apart.
Context window
Grok Build 0.1 takes 256K tokens, Muse Wonder 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
CategoryGrok Build 0.1BarsMuse WonderTies
Coding01
All shared boards01
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
Coding benchmarks for Grok Build 0.1 and Muse Wonder
BenchmarkGrok Build 0.1Muse WonderLeader
LMArena WebDevNot measured1652Only Muse Wonder measured
AA Coding Index51.5Not measuredOnly Grok Build 0.1 measured
Terminal-Bench 4 (Vals AI)Not measured49.5%Only Muse Wonder measured
Vibe Code Bench (Vals AI)13.4%83.1%Muse Wonder
Code migration (Vals AI)Not measured62.5%Only Muse Wonder measured
IOI (Vals AI)Not measured66.9%Only Muse Wonder 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
CyberBench (Vals AI)Not measured80.4%Only Muse Wonder measured
SciCodeNot measured60.3%Only Muse Wonder measured
LMArena Text: codingNot measured1522Only Muse Wonder measured
LMArena Text: software and ITNot measured1515Only Muse Wonder measured
LMArena WebDev: ReactNot measured1641Only Muse Wonder measured
LMArena WebDev: HTMLNot measured1694Only Muse Wonder measured
Neither model has a result on the other 25 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Grok Build 0.1 and Muse Wonder
BenchmarkGrok Build 0.1Muse WonderLeader
AA Intelligence Index27.2Not measuredOnly Grok Build 0.1 measured
Epoch Capabilities IndexNot measured161.8Only Muse Wonder measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
Agentic work benchmarks for Grok Build 0.1 and Muse Wonder
BenchmarkGrok Build 0.1Muse WonderLeader
Design Arena: spreadsheetsNot measured1243Only Muse Wonder measured
Finance Agent (Vals AI)Not measured56.6%Only Muse Wonder measured
Tax Agent Bench (Vals AI)Not measured36.3%Only Muse Wonder measured
Legal Research Bench (Vals AI)Not measured50.5%Only Muse Wonder measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured23.8%Only Muse Wonder measured
Excel Modeling Benchmark (Vals AI)Not measured67.1%Only Muse Wonder measured
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
CUA-bench (Vals AI)Not measured7.2%Only Muse Wonder measured
Vending-Bench 2Not measured$9,432Only Muse Wonder measured
Neither model has a result on the other 30 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Reasoning benchmarks for Grok Build 0.1 and Muse Wonder
BenchmarkGrok Build 0.1Muse WonderLeader
MysteryMechanism (Vals AI)Not measured27.5%Only Muse Wonder measured
Humanity's Last Exam (Artificial Analysis run)Not measured50.1%Only Muse Wonder measured
LMArena Text: hard promptsNot measured1506Only Muse Wonder measured
LMArena Text: expertNot measured1513Only Muse Wonder measured
LMArena Text: hard prompts in EnglishNot measured1506Only Muse Wonder measured
Neither model has a result on the other 17 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Math benchmarks for Grok Build 0.1 and Muse Wonder
BenchmarkGrok Build 0.1Muse WonderLeader
ProofBenchNot measured84.0%Only Muse Wonder measured
LMArena Text: mathNot measured1486Only Muse Wonder measured
LMArena Text: mathematical workNot measured1514Only Muse Wonder measured
Neither model has a result on the other 10 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Knowledge benchmarks for Grok Build 0.1 and Muse Wonder
BenchmarkGrok Build 0.1Muse WonderLeader
LMArena Text: scienceNot measured1506Only Muse Wonder measured
LMArena Text: medicine and healthcareNot measured1512Only Muse Wonder measured
LMArena Text: legal and governmentNot measured1505Only Muse Wonder measured
LMArena Text: business and financeNot measured1483Only Muse Wonder measured
Neither model has a result on the other 14 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for Grok Build 0.1 and Muse Wonder
BenchmarkGrok Build 0.1Muse WonderLeader
Design Arena: websitesNot measured1362Only Muse Wonder measured
Design Arena: UI componentsNot measured1379Only Muse Wonder measured
Design Arena: game devNot measured1376Only Muse Wonder measured
Design Arena: data vizNot measured1317Only Muse Wonder measured
Design Arena: 3DNot measured1427Only Muse Wonder measured
Design Arena: all code categoriesNot measured1371Only Muse Wonder measured
Neither model has a result on the other 3 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index17 boards, none shared
General benchmarks for Grok Build 0.1 and Muse Wonder
BenchmarkGrok Build 0.1Muse WonderLeader
Vals IndexNot measured64.9%Only Muse Wonder measured
Public Benefits Bench (Vals AI)Not measured70.2%Only Muse Wonder measured
Long context reasoning (AA-LCR)Not measured80.7%Only Muse Wonder measured
DTBenchNot measured95.2%Only Muse Wonder measured
LMCANot measured56.8%Only Muse Wonder measured
LMArena TextNot measured1502Only Muse Wonder measured
LMArena Text: instruction followingNot measured1491Only Muse Wonder measured
LMArena Text: creative writingNot measured1491Only Muse Wonder measured
LMArena Text: EnglishNot measured1507Only Muse Wonder measured
LMArena Text: non-EnglishNot measured1492Only Muse Wonder measured
LMArena Text: ChineseNot measured1537Only Muse Wonder measured
LMArena Text: FrenchNot measured1523Only Muse Wonder measured
LMArena Text: RussianNot measured1522Only Muse Wonder measured
LMArena Text: multi-turnNot measured1510Only Muse Wonder measured
LMArena Text: longer queriesNot measured1493Only Muse Wonder measured
LMArena Text: writing and languageNot measured1496Only Muse Wonder measured
LMArena Text: entertainment and mediaNot measured1482Only Muse Wonder measured
Neither model has a result on the other 29 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Grok Build 0.1 and Muse Wonder
BenchmarkGrok Build 0.1Muse 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

Grok Build 0.1$0.0020Fits in one request
Muse Wonder$0.014Fits in one request

Grok Build 0.1 costs less

Repository review

50K input + 3K output tokens

Grok Build 0.1$0.056Fits in one request
Muse Wonder$0.260Fits in one request

Grok Build 0.1 costs less

Agent loop

200K input + 10K output tokens

Grok Build 0.1$0.220Fits in one request
Muse Wonder$1.00Fits in one request

Grok Build 0.1 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 Grok Build 0.1 and Muse Wonder
SpecificationSpaceXAI Grok Build 0.1Meta Muse Wonder
MakerxAIMeta
WeightsNo public weights listedNo public weights listed
ReleasedMay 20, 2026October 12, 2026
Context window256K1.05M
Input $/Mtok$1.00$4.00
Output $/Mtok$2.00$20.00
Coding indexNot benchmarked71.9
Independent measurements behind it13
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Grok Build 0.1 better than Muse Wonder for coding?

Only Muse Wonder has a coding score, 71.9 on the Vibe Coding Index; Grok Build 0.1 has none, so the two cannot be ranked on coding. Pick Grok Build 0.1 for output tokens 10.0x cheaper ($2.00 vs $20.00 per million).

Which is cheaper, Grok Build 0.1 or Muse Wonder?

Grok Build 0.1 costs $1.00 per million input tokens and $2.00 per million output tokens; Muse Wonder costs $4.00 and $20.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Grok Build 0.1 or Muse Wonder?

Muse Wonder, with 1.05M tokens against 256K.

How many benchmarks is the Grok Build 0.1 vs Muse Wonder comparison based on?

1 benchmarks have a result for both models as of October 22, 2026. Grok Build 0.1's coding index rests on 1 independent benchmark 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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