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Claude Opus 4.7 vs Muse Wonder

Muse Wonder leads Claude Opus 4.7 on coding, 71.9 to 67.5 on the Vibe Coding Index, and Muse Wonder costs 1.3x less per output token ($20.00 vs $25.00 per million). Updated October 22, 2026; 39 benchmarks have a result for both.

Claude Opus 4.7Anthropic
Coding
67.5
Overall
71.6
Output $/M
$25.00
9
Muse WonderMeta
Coding
71.9
Overall
No data
Output $/M
$20.00
30
vs boards won of 39 shared

Claude Opus 4.7 or Muse Wonder: which to pick

Pick Muse Wonder for coding: it scores 71.9 on the Vibe Coding Index against 67.5 for Claude Opus 4.7, though on 3 benchmarks against 4.

Pick Claude Opus 4.7 for work measured by LMArena Text: software and IT or Vending-Bench 2, where it leads.

Shared results
39
Claude Opus 4.7 only
64
Muse Wonder only
21
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
Claude Opus 4.7 67.5 from 4 benchmarks, Muse Wonder 71.9 from 3 benchmarks.
Widest category
Math, 10.9 points apart on average over 3 shared benchmarks.
Widest single gap
ProofBench: Claude Opus 4.7 54.0% against Muse Wonder 84.0%, 30.0 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.7 $25.00 against Muse Wonder $20.00 per million output tokens, 1.3x apart.
Context window
Claude Opus 4.7 takes 1M 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
CategoryClaude Opus 4.7BarsMuse WonderTies
Coding16
Intelligence01
Agentic work14
Reasoning22
Math12
Knowledge22
General213
All shared boards930
CodingLike-for-likeSix of these boards feed the Vibe Coding Index16
Coding benchmarks for Claude Opus 4.7 and Muse Wonder
BenchmarkClaude Opus 4.7Muse WonderLeader
LMArena WebDev15581652Muse Wonder
AA Coding Index73.6Not measuredOnly Claude Opus 4.7 measured
LiveCodeBench (Vals AI)85.1%Not measuredOnly Claude Opus 4.7 measured
SWE-bench Verified (Vals AI)82.0%Not measuredOnly Claude Opus 4.7 measured
Terminal-Bench 4 (Vals AI)Not measured49.5%Only Muse Wonder measured
Vibe Code Bench (Vals AI)71.0%83.1%Muse Wonder
Code migration (Vals AI)43.9%62.5%Muse Wonder
ProgramBench (Vals AI)0.0%Not measuredOnly Claude Opus 4.7 measured
IOI (Vals AI)Not measured66.9%Only Muse Wonder measured
Terminal-Bench 2.1 (Vals AI)68.5%Not measuredOnly Claude Opus 4.7 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
Terminal-Bench Hard (Artificial Analysis run)54.5%Not measuredOnly Claude Opus 4.7 measured
Terminal-Bench80.2%Not measuredOnly Claude Opus 4.7 measured
FrontierCode38.5%Not measuredOnly Claude Opus 4.7 measured
GSO-Bench44.1%Not measuredOnly Claude Opus 4.7 measured
WeirdML76.4%Not measuredOnly Claude Opus 4.7 measured
MirrorCode31.1%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: coding15191522Muse Wonder
LMArena Text: software and IT15161515Claude Opus 4.7
LMArena WebDev: React15601641Muse Wonder
LMArena WebDev: HTML15541694Muse Wonder
LMArena WebDev: from an image1577Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 14 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Claude Opus 4.7 and Muse Wonder
BenchmarkClaude Opus 4.7Muse WonderLeader
AA Intelligence Index40.7Not measuredOnly Claude Opus 4.7 measured
Epoch Capabilities Index156.8161.8Muse Wonder
Agentic workLike-for-likePublic boards, shown as published, kept out of the index14
Agentic work benchmarks for Claude Opus 4.7 and Muse Wonder
BenchmarkClaude Opus 4.7Muse WonderLeader
AA Agentic Index38.6Not measuredOnly Claude Opus 4.7 measured
Design Arena: spreadsheetsNot measured1243Only Muse Wonder measured
Finance Agent (Vals AI)51.5%56.6%Muse Wonder
Tax Agent Bench (Vals AI)23.7%36.3%Muse Wonder
Legal Research Bench (Vals AI)38.5%50.5%Muse Wonder
Harvey's Legal Agent Benchmark (Vals AI)Not measured23.8%Only Muse Wonder measured
Excel Modeling Benchmark (Vals AI)63.7%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
CUA-bench (Vals AI)Not measured7.2%Only Muse Wonder measured
τ²-Bench Telecom88.6%Not measuredOnly Claude Opus 4.7 measured
APEX-Agents49.2%Not measuredOnly Claude Opus 4.7 measured
OSWorld 2.018.2%Not measuredOnly Claude Opus 4.7 measured
PostTrainBench28.6%Not measuredOnly Claude Opus 4.7 measured
Vending-Bench 2$10,937$9,432Claude Opus 4.7
LMArena Search1230Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 24 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index22
Reasoning benchmarks for Claude Opus 4.7 and Muse Wonder
BenchmarkClaude Opus 4.7Muse WonderLeader
GPQA Diamond90.2%Not measuredOnly Claude Opus 4.7 measured
MysteryMechanism (Vals AI)Not measured27.5%Only Muse Wonder measured
MMMU Pro (Vals AI)85.5%Not measuredOnly Claude Opus 4.7 measured
GPQA Diamond (Artificial Analysis run)91.4%Not measuredOnly Claude Opus 4.7 measured
Humanity's Last Exam (Artificial Analysis run)42.3%50.1%Muse Wonder
GPQA Diamond (Epoch AI run)90.2%Not measuredOnly Claude Opus 4.7 measured
ARC-AGI93.5%Not measuredOnly Claude Opus 4.7 measured
ARC-AGI-275.8%Not measuredOnly Claude Opus 4.7 measured
SimpleBench61.7%Not measuredOnly Claude Opus 4.7 measured
Chess puzzles41.0%Not measuredOnly Claude Opus 4.7 measured
Mystery game puzzles28.0%Not measuredOnly Claude Opus 4.7 measured
EBR-bench19.0%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: hard prompts15061506Muse Wonder
LMArena Text: expert15211513Claude Opus 4.7
LMArena Text: hard prompts in English15081506Claude Opus 4.7
LMArena Vision: diagrams1336Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: homework1337Not measuredOnly Claude Opus 4.7 measured
Kagi LLM Benchmark80.7%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index12
Math benchmarks for Claude Opus 4.7 and Muse Wonder
BenchmarkClaude Opus 4.7Muse WonderLeader
AIME96.3%Not measuredOnly Claude Opus 4.7 measured
OTIS Mock AIME97.8%Not measuredOnly Claude Opus 4.7 measured
FrontierMath, tiers 1 to 370.2%Not measuredOnly Claude Opus 4.7 measured
FrontierMath, tier 431.7%Not measuredOnly Claude Opus 4.7 measured
ProofBench54.0%84.0%Muse Wonder
LMArena Text: math14981486Claude Opus 4.7
LMArena Text: mathematical work15091514Muse Wonder
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index22
Knowledge benchmarks for Claude Opus 4.7 and Muse Wonder
BenchmarkClaude Opus 4.7Muse WonderLeader
MMLU Pro89.9%Not measuredOnly Claude Opus 4.7 measured
LegalBench (Vals AI)85.3%Not measuredOnly Claude Opus 4.7 measured
CaseLaw (Vals AI)68.4%Not measuredOnly Claude Opus 4.7 measured
CorpFin (Vals AI)66.1%Not measuredOnly Claude Opus 4.7 measured
TaxEval (Vals AI)75.3%Not measuredOnly Claude Opus 4.7 measured
MortgageTax (Vals AI)70.3%Not measuredOnly Claude Opus 4.7 measured
MedCode (Vals AI)54.9%Not measuredOnly Claude Opus 4.7 measured
SimpleQA Verified51.7%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: science15081506Claude Opus 4.7
LMArena Text: medicine and healthcare14951512Muse Wonder
LMArena Text: legal and government15041505Muse Wonder
LMArena Text: business and finance14901483Claude Opus 4.7
FACTS Benchmark Suite45.5%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for Claude Opus 4.7 and Muse Wonder
BenchmarkClaude Opus 4.7Muse 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
GeneralLike-for-likePublic boards, shown as published, kept out of the index213
General benchmarks for Claude Opus 4.7 and Muse Wonder
BenchmarkClaude Opus 4.7Muse WonderLeader
Vals IndexNot measured64.9%Only Muse Wonder measured
Public Benefits Bench (Vals AI)Not measured70.2%Only Muse Wonder measured
SAGE (Vals AI)56.1%Not measuredOnly Claude Opus 4.7 measured
MedScribe (Vals AI)83.0%Not measuredOnly Claude Opus 4.7 measured
Vals Multimodal Index67.4%Not measuredOnly Claude Opus 4.7 measured
IFBench58.6%Not measuredOnly Claude Opus 4.7 measured
Long context reasoning (AA-LCR)78.7%80.7%Muse Wonder
DTBench94.7%95.2%Muse Wonder
LMCA52.2%56.8%Muse Wonder
Furniture assembly33.3%Not measuredOnly Claude Opus 4.7 measured
ExploitBench26.5%Not measuredOnly Claude Opus 4.7 measured
LMArena Text14901502Muse Wonder
LMArena Text: instruction following14981491Claude Opus 4.7
LMArena Text: creative writing14861491Muse Wonder
LMArena Vision1317Not measuredOnly Claude Opus 4.7 measured
LMArena Text: English14961507Muse Wonder
LMArena Text: non-English14801492Muse Wonder
LMArena Text: Chinese15311537Muse Wonder
LMArena Text: German1495Not measuredOnly Claude Opus 4.7 measured
LMArena Text: Japanese1474Not measuredOnly Claude Opus 4.7 measured
LMArena Text: Korean1464Not measuredOnly Claude Opus 4.7 measured
LMArena Text: French15031523Muse Wonder
LMArena Text: Spanish1494Not measuredOnly Claude Opus 4.7 measured
LMArena Text: Russian14941522Muse Wonder
LMArena Text: Polish1489Not measuredOnly Claude Opus 4.7 measured
LMArena Text: multi-turn15051510Muse Wonder
LMArena Text: longer queries15051493Claude Opus 4.7
LMArena Text: writing and language14921496Muse Wonder
LMArena Text: entertainment and media14741482Muse Wonder
LMArena Vision: English1322Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: Chinese1371Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: reading text1327Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: humor1309Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: recognizing things1278Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: creative writing1326Not measuredOnly Claude Opus 4.7 measured
LMArena Document1495Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 10 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.7 and Muse Wonder
BenchmarkClaude Opus 4.7Muse 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

Claude Opus 4.7$0.018Fits in one request
Muse Wonder$0.014Fits in one request

Muse Wonder costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.7$0.325Fits in one request
Muse Wonder$0.260Fits in one request

Muse Wonder costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.7$1.25Fits in one request
Muse Wonder$1.00Fits in one request

Muse Wonder 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 4.7 and Muse Wonder
SpecificationAnthropic Claude Opus 4.7Meta Muse Wonder
MakerAnthropicMeta
WeightsNo public weights listedNo public weights listed
ReleasedApril 16, 2026October 12, 2026
Context window1M1.05M
Input $/Mtok$5.00$4.00
Output $/Mtok$25.00$20.00
Coding index67.571.9
Independent measurements behind it43
Cost per solved task$2.95Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.7 better than Muse Wonder for coding?

Pick Muse Wonder for coding: it scores 71.9 on the Vibe Coding Index against 67.5 for Claude Opus 4.7, though on 3 benchmarks against 4. Pick Claude Opus 4.7 for work measured by LMArena Text: software and IT or Vending-Bench 2, where it leads.

Which is cheaper, Claude Opus 4.7 or Muse Wonder?

Claude Opus 4.7 costs $5.00 per million input tokens and $25.00 per million output tokens; Muse Wonder costs $4.00 and $20.00. Cost per solved task is known for Claude Opus 4.7 only.

Which has the bigger context window, Claude Opus 4.7 or Muse Wonder?

Muse Wonder, with 1.05M tokens against 1M.

How many benchmarks is the Claude Opus 4.7 vs Muse Wonder comparison based on?

39 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.7's coding index rests on 4 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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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/claude-opus-4-7-vs-meta-muse-wonder">LLMBenchmark.ai, Claude Opus 4.7 vs Muse Wonder</a></p>