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Muse Wonder vs Qwen3 VL 30B A3B Thinking

Qwen3 VL 30B A3B Thinking costs 20.0x less per output token than Muse Wonder ($1.00 vs $20.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Muse WonderMeta
Coding
71.9
Overall
No data
Output $/M
$20.00
Qwen3 VL 30B A3B ThinkingQwen
Coding
No data
Overall
No data
Output $/M
$1.00
vs $20.00 vs $1.00 per 1M output tokens. Qwen3 VL 30B A3B Thinking is 20.0x cheaper.

Muse Wonder or Qwen3 VL 30B A3B Thinking: which to pick

Only Muse Wonder has a coding score, 71.9 on the Vibe Coding Index; Qwen3 VL 30B A3B Thinking has none, so the two cannot be ranked on coding.

Pick Qwen3 VL 30B A3B Thinking for output tokens 20.0x cheaper ($1.00 vs $20.00 per million).

No benchmark has tested both yet. Muse Wonder has results on LMArena WebDev, Terminal-Bench 4 (Vals AI) and Vibe Code Bench (Vals AI); Qwen3 VL 30B A3B Thinking on AA Intelligence Index. Compare them on price and context instead.

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 VL 30B A3B Thinking not benchmarked.
Widest category
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
Muse Wonder $20.00 against Qwen3 VL 30B A3B Thinking $1.00 per million output tokens, 20.0x apart.
Context window
Muse Wonder takes 1.05M tokens, Qwen3 VL 30B A3B Thinking 262K.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

CodingDirectional onlySix of these boards feed the Vibe Coding Index13 boards measured
Coding benchmarks for Muse Wonder and Qwen3 VL 30B A3B Thinking
BenchmarkMuse WonderQwen3 VL 30B A3B ThinkingLeader
LMArena WebDev1652Not measuredOnly Muse Wonder 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
LMArena Text: coding1522Not measuredOnly Muse Wonder measured
LMArena Text: software and IT1515Not measuredOnly Muse Wonder measured
LMArena WebDev: React1641Not measuredOnly Muse Wonder measured
LMArena WebDev: HTML1694Not measuredOnly Muse Wonder measured
Neither model has a result on the other 30 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Intelligence benchmarks for Muse Wonder and Qwen3 VL 30B A3B Thinking
BenchmarkMuse WonderQwen3 VL 30B A3B ThinkingLeader
AA Intelligence IndexNot measured9.5Only Qwen3 VL 30B A3B Thinking measured
Epoch Capabilities Index161.8Not measuredOnly Muse Wonder measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index11 boards measured
Agentic work benchmarks for Muse Wonder and Qwen3 VL 30B A3B Thinking
BenchmarkMuse WonderQwen3 VL 30B A3B ThinkingLeader
Design Arena: spreadsheets1258Not 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$9,432Not measuredOnly Muse Wonder measured
Neither model has a result on the other 31 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
Reasoning benchmarks for Muse Wonder and Qwen3 VL 30B A3B Thinking
BenchmarkMuse WonderQwen3 VL 30B A3B ThinkingLeader
MysteryMechanism (Vals AI)27.5%Not measuredOnly Muse Wonder measured
Humanity's Last Exam (Artificial Analysis run)50.1%Not measuredOnly Muse Wonder measured
LMArena Text: hard prompts1506Not measuredOnly Muse Wonder measured
LMArena Text: expert1513Not measuredOnly Muse Wonder measured
LMArena Text: hard prompts in English1506Not measuredOnly Muse Wonder measured
Neither model has a result on the other 18 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
Math benchmarks for Muse Wonder and Qwen3 VL 30B A3B Thinking
BenchmarkMuse WonderQwen3 VL 30B A3B ThinkingLeader
ProofBench84.0%Not measuredOnly Muse Wonder measured
LMArena Text: math1486Not measuredOnly Muse Wonder measured
LMArena Text: mathematical work1514Not measuredOnly Muse Wonder measured
Neither model has a result on the other 11 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
Knowledge benchmarks for Muse Wonder and Qwen3 VL 30B A3B Thinking
BenchmarkMuse WonderQwen3 VL 30B A3B ThinkingLeader
LMArena Text: science1506Not measuredOnly Muse Wonder measured
LMArena Text: medicine and healthcare1512Not measuredOnly Muse Wonder measured
LMArena Text: legal and government1505Not measuredOnly Muse Wonder measured
LMArena Text: business and finance1483Not measuredOnly Muse Wonder measured
Neither model has a result on the other 16 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards measured
Web design benchmarks for Muse Wonder and Qwen3 VL 30B A3B Thinking
BenchmarkMuse WonderQwen3 VL 30B A3B ThinkingLeader
Design Arena: websites1363Not measuredOnly Muse Wonder measured
Design Arena: UI components1380Not measuredOnly Muse Wonder measured
Design Arena: game dev1379Not measuredOnly Muse Wonder measured
Design Arena: data viz1312Not measuredOnly Muse Wonder measured
Design Arena: 3D1428Not measuredOnly Muse Wonder measured
Design Arena: all code categories1372Not measuredOnly 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 measured
General benchmarks for Muse Wonder and Qwen3 VL 30B A3B Thinking
BenchmarkMuse WonderQwen3 VL 30B A3B ThinkingLeader
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%Not measuredOnly Muse Wonder measured
LMCA56.8%Not measuredOnly Muse Wonder measured
LMArena Text1502Not measuredOnly Muse Wonder measured
LMArena Text: instruction following1491Not measuredOnly Muse Wonder measured
LMArena Text: creative writing1491Not measuredOnly Muse Wonder measured
LMArena Text: English1507Not measuredOnly Muse Wonder measured
LMArena Text: non-English1492Not measuredOnly Muse Wonder measured
LMArena Text: Chinese1537Not measuredOnly Muse Wonder measured
LMArena Text: French1523Not measuredOnly Muse Wonder measured
LMArena Text: Russian1522Not measuredOnly Muse Wonder measured
LMArena Text: multi-turn1510Not measuredOnly Muse Wonder measured
LMArena Text: longer queries1493Not measuredOnly Muse Wonder measured
LMArena Text: writing and language1496Not measuredOnly Muse Wonder measured
LMArena Text: entertainment and media1482Not measuredOnly Muse Wonder measured
Neither model has a result on the other 31 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 VL 30B A3B Thinking$0.0008Fits in one request

Qwen3 VL 30B A3B Thinking costs less

Repository review

50K input + 3K output tokens

Muse Wonder$0.260Fits in one request
Qwen3 VL 30B A3B Thinking$0.018Fits in one request

Qwen3 VL 30B A3B Thinking costs less

Agent loop

200K input + 10K output tokens

Muse Wonder$1.00Fits in one request
Qwen3 VL 30B A3B Thinking$0.068Fits in one request

Qwen3 VL 30B A3B Thinking 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 VL 30B A3B Thinking
SpecificationMeta Muse WonderQwen3 VL 30B A3B Thinking
MakerMetaQwen
WeightsNo public weights listedOpen weights
ReleasedOctober 12, 2026October 6, 2025
Context window1.05M262K
Input $/Mtok$4.00$0.29
Output $/Mtok$20.00$1.00
Coding index71.9Not benchmarked
Independent measurements behind it30
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Muse Wonder better than Qwen3 VL 30B A3B Thinking for coding?

Only Muse Wonder has a coding score, 71.9 on the Vibe Coding Index; Qwen3 VL 30B A3B Thinking has none, so the two cannot be ranked on coding. Pick Qwen3 VL 30B A3B Thinking for output tokens 20.0x cheaper ($1.00 vs $20.00 per million).

Which is cheaper, Muse Wonder or Qwen3 VL 30B A3B Thinking?

Muse Wonder costs $4.00 per million input tokens and $20.00 per million output tokens; Qwen3 VL 30B A3B Thinking costs $0.29 and $1.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Muse Wonder or Qwen3 VL 30B A3B Thinking?

Muse Wonder, with 1.05M tokens against 262K.

Has any benchmark tested both Muse Wonder and Qwen3 VL 30B A3B Thinking?

No benchmark has tested both yet. Muse Wonder has results on LMArena WebDev, Terminal-Bench 4 (Vals AI) and Vibe Code Bench (Vals AI); Qwen3 VL 30B A3B Thinking on AA Intelligence Index. Compare them on price and context instead. Data as of October 22, 2026.

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