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Muse Wonder vs Qwen3 235B A22B Thinking 2507

Qwen3 235B A22B Thinking 2507 costs 5.7x less per output token than Muse Wonder ($3.50 vs $20.00 per million). Updated October 23, 2026; 32 benchmarks have a result for both.

Muse WonderMeta
Coding
71.9
Overall
No data
Output $/M
$20.00
32
Qwen3 235B A22B Thinking 2507Qwen
Coding
No data
Overall
52.9
Output $/M
$3.50
0
vs boards won of 32 shared

Muse Wonder or Qwen3 235B A22B Thinking 2507: which to pick

Only Muse Wonder has a coding score, 71.9 on the Vibe Coding Index; Qwen3 235B A22B Thinking 2507 has none, so the two cannot be ranked on coding.

Pick Qwen3 235B A22B Thinking 2507 for output tokens 5.7x cheaper ($3.50 vs $20.00 per million).

Shared results
32
Muse Wonder only
31
Qwen3 235B A22B Thinking 2507 only
14
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 71.9 from 3 benchmarks, Qwen3 235B A22B Thinking 2507 not benchmarked.
Widest category
Agentic work, 59.0 points apart on average over 1 shared benchmark.
Widest single gap
Vending-Bench 2: Muse Wonder $9,432 against Qwen3 235B A22B Thinking 2507 -$11, 59.0 points apart on a 0 to 100 scale.
Output price
Muse Wonder $20.00 against Qwen3 235B A22B Thinking 2507 $3.50 per million output tokens, 5.7x apart.
Context window
Muse Wonder takes 1.05M tokens, Qwen3 235B A22B Thinking 2507 128K.

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 WonderBarsQwen3 235B A22B Thinking 2507Ties
Coding20
Agentic work10
Reasoning30
Math20
Knowledge40
Web design60
General140
All shared boards320
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Muse Wonder and Qwen3 235B A22B Thinking 2507
BenchmarkMuse WonderQwen3 235B A22B Thinking 2507Leader
LMArena WebDev1651Not measuredOnly Muse Wonder measured
AA Coding IndexNot measured22.1Only Qwen3 235B A22B Thinking 2507 measured
Terminal-Bench 4 (Vals AI)49.5%Not measuredOnly Muse Wonder measured
Vibe Code Bench (Vals AI)83.1%Not measuredOnly Muse Wonder measured
Code migration (Vals AI)62.5%Not measuredOnly Muse Wonder measured
IOI (Vals AI)66.9%Not measuredOnly Muse Wonder measured
SWE-bench Multimodal (Vals AI)45.6%Not measuredOnly Muse Wonder measured
Vibe Code Bench 1-100 (Vals AI)26.6%Not measuredOnly Muse Wonder measured
CyberBench (Vals AI)80.4%Not measuredOnly Muse Wonder measured
SciCode60.3%Not measuredOnly Muse Wonder measured
WeirdMLNot measured41.0%Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: coding15181424Muse Wonder
LMArena Text: software and IT15141431Muse Wonder
LMArena WebDev: React1647Not measuredOnly Muse Wonder measured
LMArena WebDev: HTML1676Not measuredOnly Muse Wonder measured
Neither model has a result on the other 28 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Muse Wonder and Qwen3 235B A22B Thinking 2507
BenchmarkMuse WonderQwen3 235B A22B Thinking 2507Leader
AA Intelligence IndexNot measured12.7Only Qwen3 235B A22B Thinking 2507 measured
Epoch Capabilities Index161.8Not measuredOnly Muse Wonder measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Muse Wonder and Qwen3 235B A22B Thinking 2507
BenchmarkMuse WonderQwen3 235B A22B Thinking 2507Leader
AA Agentic IndexNot measured1.3Only Qwen3 235B A22B Thinking 2507 measured
Design Arena: HTML slides1127Not measuredOnly Muse Wonder measured
Design Arena: PowerPoint slides1105Not measuredOnly Muse Wonder measured
Design Arena: spreadsheets1259Not measuredOnly Muse Wonder measured
Finance Agent (Vals AI)56.6%Not measuredOnly Muse Wonder measured
Tax Agent Bench (Vals AI)36.3%Not measuredOnly Muse Wonder measured
Legal Research Bench (Vals AI)50.5%Not measuredOnly Muse Wonder measured
Harvey's Legal Agent Benchmark (Vals AI)23.8%Not measuredOnly Muse Wonder measured
Excel Modeling Benchmark (Vals AI)67.1%Not measuredOnly Muse Wonder measured
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
Vending-Bench 2$9,432-$11Muse Wonder
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for Muse Wonder and Qwen3 235B A22B Thinking 2507
BenchmarkMuse WonderQwen3 235B A22B Thinking 2507Leader
MysteryMechanism (Vals AI)27.5%Not measuredOnly Muse Wonder measured
Humanity's Last Exam (Artificial Analysis run)50.1%Not measuredOnly Muse Wonder measured
GPQA Diamond (Epoch AI run)Not measured80.1%Only Qwen3 235B A22B Thinking 2507 measured
Mystery game puzzlesNot measured9.0%Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: hard prompts15051416Muse Wonder
LMArena Text: expert15141463Muse Wonder
LMArena Text: hard prompts in English15061432Muse Wonder
Neither model has a result on the other 16 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Muse Wonder and Qwen3 235B A22B Thinking 2507
BenchmarkMuse WonderQwen3 235B A22B Thinking 2507Leader
OTIS Mock AIMENot measured86.7%Only Qwen3 235B A22B Thinking 2507 measured
ProofBench84.0%Not measuredOnly Muse Wonder measured
LMArena Text: math14841412Muse Wonder
LMArena Text: mathematical work15111435Muse Wonder
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Muse Wonder and Qwen3 235B A22B Thinking 2507
BenchmarkMuse WonderQwen3 235B A22B Thinking 2507Leader
SimpleQA VerifiedNot measured40.4%Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: science15071433Muse Wonder
LMArena Text: medicine and healthcare15101456Muse Wonder
LMArena Text: legal and government15071415Muse Wonder
LMArena Text: business and finance14831412Muse Wonder
Neither model has a result on the other 15 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for Muse Wonder and Qwen3 235B A22B Thinking 2507
BenchmarkMuse WonderQwen3 235B A22B Thinking 2507Leader
Design Arena: websites13631052Muse Wonder
Design Arena: UI components1380942Muse Wonder
Design Arena: game dev1379956Muse Wonder
Design Arena: data viz1311950Muse Wonder
Design Arena: 3D1443998Muse Wonder
Design Arena: all code categories13751032Muse Wonder
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index140
General benchmarks for Muse Wonder and Qwen3 235B A22B Thinking 2507
BenchmarkMuse WonderQwen3 235B A22B Thinking 2507Leader
Vals Index64.9%Not measuredOnly Muse Wonder measured
Public Benefits Bench (Vals AI)70.2%Not measuredOnly Muse Wonder measured
Long context reasoning (AA-LCR)80.7%Not measuredOnly Muse Wonder measured
DTBench95.2%80.3%Muse Wonder
LMCA56.8%29.3%Muse Wonder
Fiction.LiveBenchNot measured75.0%Only Qwen3 235B A22B Thinking 2507 measured
Creative writing (Lech Mazur)Not measured82.4%Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text15011415Muse Wonder
LMArena Text: instruction following14931386Muse Wonder
LMArena Text: creative writing14931384Muse Wonder
LMArena Text: English15061429Muse Wonder
LMArena Text: non-English14911397Muse Wonder
LMArena Text: Chinese15411481Muse Wonder
LMArena Text: GermanNot measured1408Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: JapaneseNot measured1386Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: KoreanNot measured1375Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: French1519Not measuredOnly Muse Wonder measured
LMArena Text: Spanish14771389Muse Wonder
LMArena Text: Russian15221400Muse Wonder
LMArena Text: PolishNot measured1390Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: multi-turn15071406Muse Wonder
LMArena Text: longer queries14921399Muse Wonder
LMArena Text: writing and language14971388Muse Wonder
LMArena Text: entertainment and media14811370Muse Wonder
Neither model has a result on the other 24 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Muse Wonder and Qwen3 235B A22B Thinking 2507
BenchmarkMuse WonderQwen3 235B A22B Thinking 2507Leader
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
Qwen3 235B A22B Thinking 2507$0.0022Fits in one request

Qwen3 235B A22B Thinking 2507 costs less

Repository review

50K input + 3K output tokens

Muse Wonder$0.260Fits in one request
Qwen3 235B A22B Thinking 2507$0.033Fits in one request

Qwen3 235B A22B Thinking 2507 costs less

Agent loop

200K input + 10K output tokens

Muse Wonder$1.00Fits in one request
Qwen3 235B A22B Thinking 2507$0.125Exceeds the context window

Qwen3 235B A22B Thinking 2507 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 Qwen3 235B A22B Thinking 2507
SpecificationMeta Muse WonderQwen3 235B A22B Thinking 2507
MakerMetaQwen
WeightsNo public weights listedOpen weights
ReleasedOctober 12, 2026July 25, 2025
Context window1.05M128K
Input $/Mtok$4.00$0.45
Output $/Mtok$20.00$3.50
Coding index71.9Not benchmarked
Independent measurements behind it30
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Wonder better than Qwen3 235B A22B Thinking 2507 for coding?

Only Muse Wonder has a coding score, 71.9 on the Vibe Coding Index; Qwen3 235B A22B Thinking 2507 has none, so the two cannot be ranked on coding. Pick Qwen3 235B A22B Thinking 2507 for output tokens 5.7x cheaper ($3.50 vs $20.00 per million).

Which is cheaper, Muse Wonder or Qwen3 235B A22B Thinking 2507?

Muse Wonder costs $4.00 per million input tokens and $20.00 per million output tokens; Qwen3 235B A22B Thinking 2507 costs $0.45 and $3.50. Cost per solved task is known for neither of them.

Which has the bigger context window, Muse Wonder or Qwen3 235B A22B Thinking 2507?

Muse Wonder, with 1.05M tokens against 128K.

How many benchmarks is the Muse Wonder vs Qwen3 235B A22B Thinking 2507 comparison based on?

32 benchmarks have a result for both models as of October 23, 2026. Muse Wonder's coding index rests on 3 independent benchmarks and Qwen3 235B A22B Thinking 2507's on 0. Where only one model has a result, the page says so instead of naming a winner.

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