Muse Wonder vs Qwen3 32B
Updated October 21, 2026. 28 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Muse Wonder for coding: it scores 64.5 on the Vibe Coding Index against 40.0 for Qwen3 32B.
Pick Qwen3 32B when output tokens cost 71.4x less.
- Shared results
- 28
- Muse Wonder only
- 32
- Qwen3 32B only
- 14
- Like-for-like categories
- 6 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
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.
Coding
Vibe Coding Index, four public coding benchmarks
Muse Wonder
Muse Wonder scores 64.5 against 40.0.
One benchmark behind each score
Intelligence
AA Intelligence Index
No call
Only Qwen3 32B has a AA Intelligence Index result, 7.3.
Directional only
Web design
Design Arena: websites
No call
Only Muse Wonder has a Design Arena: websites result, 1361.
Directional only
General
Vals Index
No call
Only Muse Wonder has a Vals Index result, 64.9%.
Directional only
Long documents
Listed context window
Muse Wonder
Muse Wonder takes 1.05M tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3 32B
Muse Wonder $0.014, Qwen3 32B $0.0002 per turn.
List prices
At a glance
- Coding index
- Muse Wonder 64.5 from 1 benchmark, Qwen3 32B 40.0 from 1 benchmark.
- Widest category
- General, 34.4 points apart on average over 14 shared benchmarks.
- Widest single gap
- Long context reasoning (AA-LCR): Muse Wonder 80.7% against Qwen3 32B 0.0%, 80.7 points apart on a 0 to 100 scale.
- Output price
- Muse Wonder $20.00 against Qwen3 32B $0.28 per million output tokens, 71.4x apart.
- Context window
- Muse Wonder takes 1.05M tokens, Qwen3 32B 131K.
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.
| Category | Muse Wonder | Bars | Qwen3 32B | Ties |
|---|---|---|---|---|
| Coding | 3 | 0 | ||
| Intelligence | 1 | 0 | ||
| Reasoning | 4 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 4 | 0 | ||
| General | 14 | 0 | ||
| All shared boards | 28 | 0 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index30
| Benchmark | Muse Wonder | Qwen3 32B | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 40.0% | Only Qwen3 32B measured |
| LMArena WebDev | 1652 | Not measured | Only Muse Wonder measured |
| Terminal-Bench 4 (Vals AI) | 49.5% | Not measured | Only Muse Wonder measured |
| Vibe Code Bench (Vals AI) | 83.1% | Not measured | Only Muse Wonder measured |
| Code migration (Vals AI) | 62.5% | Not measured | Only Muse Wonder measured |
| IOI (Vals AI) | 66.9% | Not measured | Only Muse Wonder measured |
| SWE-bench Multimodal (Vals AI) | 45.6% | Not measured | Only Muse Wonder measured |
| Vibe Code Bench 1-100 (Vals AI) | 26.6% | Not measured | Only Muse Wonder measured |
| CyberBench (Vals AI) | 80.4% | Not measured | Only Muse Wonder measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 54.6% | Only Qwen3 32B measured |
| SciCode | 60.3% | 36.0% | Muse Wonder |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 3.0% | Only Qwen3 32B measured |
| LMArena Text: coding | 1522 | 1357 | Muse Wonder |
| LMArena Text: software and IT | 1515 | 1366 | Muse Wonder |
| LMArena WebDev: React | 1641 | Not measured | Only Muse Wonder measured |
| LMArena WebDev: HTML | 1694 | Not measured | Only Muse Wonder measured |
| Neither model has a result on the other 22 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Muse Wonder | Qwen3 32B | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 7.3 | Only Qwen3 32B measured |
| Epoch Capabilities Index | 161.8 | 138.4 | Muse Wonder |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
| Benchmark | Muse Wonder | Qwen3 32B | Leader |
|---|---|---|---|
| Design Arena: spreadsheets | 1236 | Not measured | Only Muse Wonder measured |
| Finance Agent (Vals AI) | 56.6% | Not measured | Only Muse Wonder measured |
| Tax Agent Bench (Vals AI) | 36.3% | Not measured | Only Muse Wonder measured |
| Legal Research Bench (Vals AI) | 50.5% | Not measured | Only Muse Wonder measured |
| Harvey's Legal Agent Benchmark (Vals AI) | 23.8% | Not measured | Only Muse Wonder measured |
| Excel Modeling Benchmark (Vals AI) | 67.1% | Not measured | Only Muse Wonder measured |
| BioMysteryBench (Vals AI) | 67.0% | Not measured | Only Muse Wonder measured |
| Terminal-Bench-Science (Vals AI) | 22.9% | Not measured | Only Muse Wonder measured |
| Vals Science Index | 39.1% | Not measured | Only Muse Wonder measured |
| CUA-bench (Vals AI) | 7.2% | Not measured | Only Muse Wonder measured |
| τ²-Bench Telecom | Not measured | 29.8% | Only Qwen3 32B measured |
| Vending-Bench 2 | $9,432 | Not measured | Only Muse Wonder measured |
| Neither model has a result on the other 27 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Muse Wonder | Qwen3 32B | Leader |
|---|---|---|---|
| MysteryMechanism (Vals AI) | 27.5% | Not measured | Only Muse Wonder measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 66.8% | Only Qwen3 32B measured |
| Humanity's Last Exam (Artificial Analysis run) | 50.1% | 7.4% | Muse Wonder |
| GPQA Diamond (Epoch AI run) | Not measured | 65.7% | Only Qwen3 32B measured |
| LMArena Text: hard prompts | 1506 | 1334 | Muse Wonder |
| LMArena Text: expert | 1513 | 1362 | Muse Wonder |
| LMArena Text: hard prompts in English | 1506 | 1350 | Muse Wonder |
| Neither model has a result on the other 14 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Muse Wonder | Qwen3 32B | Leader |
|---|---|---|---|
| AA Math Index | Not measured | 73.0 | Only Qwen3 32B measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 73.0% | Only Qwen3 32B measured |
| OTIS Mock AIME | Not measured | 66.9% | Only Qwen3 32B measured |
| ProofBench | 84.0% | Not measured | Only Muse Wonder measured |
| LMArena Text: math | 1486 | 1399 | Muse Wonder |
| LMArena Text: mathematical work | 1514 | 1420 | Muse Wonder |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Muse Wonder | Qwen3 32B | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | Not measured | 79.8% | Only Qwen3 32B measured |
| LMArena Text: science | 1506 | 1372 | Muse Wonder |
| LMArena Text: medicine and healthcare | 1512 | 1368 | Muse Wonder |
| LMArena Text: legal and government | 1505 | 1324 | Muse Wonder |
| LMArena Text: business and finance | 1483 | 1318 | Muse Wonder |
| Neither model has a result on the other 12 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Muse Wonder | Qwen3 32B | Leader |
|---|---|---|---|
| Design Arena: websites | 1361 | Not measured | Only Muse Wonder measured |
| Design Arena: UI components | 1371 | Not measured | Only Muse Wonder measured |
| Design Arena: game dev | 1380 | Not measured | Only Muse Wonder measured |
| Design Arena: data viz | 1330 | Not measured | Only Muse Wonder measured |
| Design Arena: 3D | 1425 | Not measured | Only Muse Wonder measured |
| Design Arena: all code categories | 1370 | Not measured | Only 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 index140
| Benchmark | Muse Wonder | Qwen3 32B | Leader |
|---|---|---|---|
| Vals Index | 64.9% | Not measured | Only Muse Wonder measured |
| Public Benefits Bench (Vals AI) | 70.2% | Not measured | Only Muse Wonder measured |
| IFBench | Not measured | 36.3% | Only Qwen3 32B measured |
| Long context reasoning (AA-LCR) | 80.7% | 0.0% | Muse Wonder |
| DTBench | 95.2% | 67.5% | Muse Wonder |
| LMCA | 56.8% | 17.3% | Muse Wonder |
| Fiction.LiveBench | Not measured | 74.2% | Only Qwen3 32B measured |
| LMArena Text | 1502 | 1340 | Muse Wonder |
| LMArena Text: instruction following | 1491 | 1305 | Muse Wonder |
| LMArena Text: creative writing | 1491 | 1297 | Muse Wonder |
| LMArena Text: English | 1507 | 1359 | Muse Wonder |
| LMArena Text: non-English | 1492 | 1317 | Muse Wonder |
| LMArena Text: Chinese | 1537 | 1357 | Muse Wonder |
| LMArena Text: German | Not measured | 1341 | Only Qwen3 32B measured |
| LMArena Text: French | 1523 | Not measured | Only Muse Wonder measured |
| LMArena Text: Russian | 1522 | 1311 | Muse Wonder |
| LMArena Text: multi-turn | 1510 | 1331 | Muse Wonder |
| LMArena Text: longer queries | 1493 | 1327 | Muse Wonder |
| LMArena Text: writing and language | 1496 | 1298 | Muse Wonder |
| LMArena Text: entertainment and media | 1482 | 1279 | Muse Wonder |
| Neither model has a result on the other 26 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Muse Wonder | Qwen3 32B | Leader |
|---|---|---|---|
| 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
Qwen3 32B costs less
Repository review
50K input + 3K output tokens
Qwen3 32B costs less
Agent loop
200K input + 10K output tokens
Qwen3 32B 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.
| Specification | Meta Muse Wonder | Qwen3 32B |
|---|---|---|
| Maker | Meta | Qwen |
| Weights | No public weights listed | Open weights |
| Released | October 12, 2026 | April 28, 2025 |
| Context window | 1.05M | 131K |
| Input $/Mtok | $4.00 | $0.08 |
| Output $/Mtok | $20.00 | $0.28 |
| Coding index | 64.5 | 40.0 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Muse Wonder better than Qwen3 32B for coding?
Pick Muse Wonder for coding: it scores 64.5 on the Vibe Coding Index against 40.0 for Qwen3 32B. Pick Qwen3 32B when output tokens cost 71.4x less.
Which is cheaper, Muse Wonder or Qwen3 32B?
Muse Wonder costs $4.00 per million input tokens and $20.00 per million output tokens; Qwen3 32B costs $0.08 and $0.28. Cost per solved task is known for neither of them.
Which has the bigger context window, Muse Wonder or Qwen3 32B?
Muse Wonder, with 1.05M tokens against 131K.
How many benchmarks is the Muse Wonder vs Qwen3 32B comparison based on?
28 benchmarks have a result for both models as of October 21, 2026. Muse Wonder's coding index rests on 1 independent benchmark and Qwen3 32B's on 1. Where only one model has a result, the page says so instead of naming a winner.