Muse Wonder vs Qwen3 30B A3B
Qwen3 30B A3B costs 40.0x less per output token than Muse Wonder ($0.50 vs $20.00 per million). Updated October 22, 2026; 33 benchmarks have a result for both.
Muse Wonder or Qwen3 30B A3B: which to pick
Only Muse Wonder has a coding score, 71.9 on the Vibe Coding Index; Qwen3 30B A3B has none, so the two cannot be ranked on coding.
Pick Qwen3 30B A3B for output tokens 40.0x cheaper ($0.50 vs $20.00 per million).
- Shared results
- 33
- Muse Wonder only
- 27
- Qwen3 30B A3B only
- 19
- 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.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Only Muse Wonder has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
No call
Only Qwen3 30B A3B has a AA Intelligence Index result, 7.6.
Directional only
Web design
Design Arena: websites
Muse Wonder
Muse Wonder leads, 1362 against 954.
Same board, both measured
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 41K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3 30B A3B
Muse Wonder $0.014, Qwen3 30B A3B $0.0004 per turn.
List prices
At a glance
- Coding index
- Muse Wonder 71.9 from 3 benchmarks, Qwen3 30B A3B not benchmarked.
- Widest category
- Web design, 52.5 points apart on average over 5 shared benchmarks.
- Widest single gap
- Long context reasoning (AA-LCR): Muse Wonder 80.7% against Qwen3 30B A3B 0.0%, 80.7 points apart on a 0 to 100 scale.
- Output price
- Muse Wonder $20.00 against Qwen3 30B A3B $0.50 per million output tokens, 40.0x apart.
- Context window
- Muse Wonder takes 1.05M tokens, Qwen3 30B A3B 41K.
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 30B A3B | Ties |
|---|---|---|---|---|
| Coding | 2 | 0 | ||
| Intelligence | 1 | 0 | ||
| Reasoning | 4 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 4 | 0 | ||
| Web design | 5 | 0 | ||
| General | 15 | 0 | ||
| All shared boards | 33 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
| Benchmark | Muse Wonder | Qwen3 30B A3B | Leader |
|---|---|---|---|
| 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 | 50.6% | Only Qwen3 30B A3B measured |
| SciCode | 60.3% | Not measured | Only Muse Wonder measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 6.8% | Only Qwen3 30B A3B measured |
| WeirdML | Not measured | 29.8% | Only Qwen3 30B A3B measured |
| LMArena Text: coding | 1522 | 1337 | Muse Wonder |
| LMArena Text: software and IT | 1515 | 1340 | 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 23 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Muse Wonder | Qwen3 30B A3B | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 7.6 | Only Qwen3 30B A3B measured |
| Epoch Capabilities Index | 161.8 | 137.3 | Muse Wonder |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
| Benchmark | Muse Wonder | Qwen3 30B A3B | Leader |
|---|---|---|---|
| Design Arena: spreadsheets | 1243 | 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 | 26.0% | Only Qwen3 30B A3B measured |
| Vending-Bench 2 | $9,432 | Not measured | Only Muse Wonder measured |
| Neither model has a result on the other 29 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Muse Wonder | Qwen3 30B A3B | Leader |
|---|---|---|---|
| MysteryMechanism (Vals AI) | 27.5% | Not measured | Only Muse Wonder measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 61.6% | Only Qwen3 30B A3B measured |
| Humanity's Last Exam (Artificial Analysis run) | 50.1% | 6.2% | Muse Wonder |
| GPQA Diamond (Epoch AI run) | Not measured | 61.7% | Only Qwen3 30B A3B measured |
| LMArena Text: hard prompts | 1506 | 1314 | Muse Wonder |
| LMArena Text: expert | 1513 | 1314 | Muse Wonder |
| LMArena Text: hard prompts in English | 1506 | 1329 | Muse Wonder |
| Neither model has a result on the other 15 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Muse Wonder | Qwen3 30B A3B | Leader |
|---|---|---|---|
| AA Math Index | Not measured | 72.3 | Only Qwen3 30B A3B measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 72.3% | Only Qwen3 30B A3B measured |
| OTIS Mock AIME | Not measured | 62.8% | Only Qwen3 30B A3B measured |
| ProofBench | 84.0% | Not measured | Only Muse Wonder measured |
| LMArena Text: math | 1486 | 1355 | Muse Wonder |
| LMArena Text: mathematical work | 1514 | 1363 | 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 30B A3B | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | Not measured | 77.7% | Only Qwen3 30B A3B measured |
| LMArena Text: science | 1506 | 1321 | Muse Wonder |
| LMArena Text: medicine and healthcare | 1512 | 1318 | Muse Wonder |
| LMArena Text: legal and government | 1505 | 1314 | Muse Wonder |
| LMArena Text: business and finance | 1483 | 1309 | Muse Wonder |
| Neither model has a result on the other 13 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Muse Wonder | Qwen3 30B A3B | Leader |
|---|---|---|---|
| Design Arena: websites | 1362 | 954 | Muse Wonder |
| Design Arena: UI components | 1379 | 943 | Muse Wonder |
| Design Arena: game dev | 1376 | 898 | Muse Wonder |
| Design Arena: data viz | 1317 | 967 | Muse Wonder |
| Design Arena: 3D | 1427 | Not measured | Only Muse Wonder measured |
| Design Arena: all code categories | 1371 | 941 | Muse Wonder |
| Neither model has a result on the other 3 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index150
| Benchmark | Muse Wonder | Qwen3 30B A3B | 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 | 41.5% | Only Qwen3 30B A3B measured |
| Long context reasoning (AA-LCR) | 80.7% | 0.0% | Muse Wonder |
| DTBench | 95.2% | 60.3% | Muse Wonder |
| LMCA | 56.8% | 15.8% | Muse Wonder |
| Fiction.LiveBench | Not measured | 40.6% | Only Qwen3 30B A3B measured |
| Creative writing (Lech Mazur) | Not measured | 75.3% | Only Qwen3 30B A3B measured |
| LMArena Text | 1502 | 1317 | Muse Wonder |
| LMArena Text: instruction following | 1491 | 1283 | Muse Wonder |
| LMArena Text: creative writing | 1491 | 1271 | Muse Wonder |
| LMArena Text: English | 1507 | 1335 | Muse Wonder |
| LMArena Text: non-English | 1492 | 1295 | Muse Wonder |
| LMArena Text: Chinese | 1537 | 1347 | Muse Wonder |
| LMArena Text: German | Not measured | 1307 | Only Qwen3 30B A3B measured |
| LMArena Text: Japanese | Not measured | 1254 | Only Qwen3 30B A3B measured |
| LMArena Text: Korean | Not measured | 1261 | Only Qwen3 30B A3B measured |
| LMArena Text: French | 1523 | 1352 | Muse Wonder |
| LMArena Text: Spanish | Not measured | 1317 | Only Qwen3 30B A3B measured |
| LMArena Text: Russian | 1522 | 1291 | Muse Wonder |
| LMArena Text: Polish | Not measured | 1299 | Only Qwen3 30B A3B measured |
| LMArena Text: multi-turn | 1510 | 1307 | Muse Wonder |
| LMArena Text: longer queries | 1493 | 1312 | Muse Wonder |
| LMArena Text: writing and language | 1496 | 1290 | Muse Wonder |
| LMArena Text: entertainment and media | 1482 | 1258 | Muse Wonder |
| Neither model has a result on the other 21 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Muse Wonder | Qwen3 30B A3B | 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 30B A3B costs less
Repository review
50K input + 3K output tokens
Qwen3 30B A3B costs less
Agent loop
200K input + 10K output tokens
Qwen3 30B A3B 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 30B A3B |
|---|---|---|
| Maker | Meta | Qwen |
| Weights | No public weights listed | Open weights |
| Released | October 12, 2026 | April 28, 2025 |
| Context window | 1.05M | 41K |
| Input $/Mtok | $4.00 | $0.12 |
| Output $/Mtok | $20.00 | $0.50 |
| Coding index | 71.9 | Not benchmarked |
| Independent measurements behind it | 3 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Muse Wonder better than Qwen3 30B A3B for coding?
Only Muse Wonder has a coding score, 71.9 on the Vibe Coding Index; Qwen3 30B A3B has none, so the two cannot be ranked on coding. Pick Qwen3 30B A3B for output tokens 40.0x cheaper ($0.50 vs $20.00 per million).
Which is cheaper, Muse Wonder or Qwen3 30B A3B?
Muse Wonder costs $4.00 per million input tokens and $20.00 per million output tokens; Qwen3 30B A3B costs $0.12 and $0.50. Cost per solved task is known for neither of them.
Which has the bigger context window, Muse Wonder or Qwen3 30B A3B?
Muse Wonder, with 1.05M tokens against 41K.
How many benchmarks is the Muse Wonder vs Qwen3 30B A3B comparison based on?
33 benchmarks have a result for both models as of October 22, 2026. Muse Wonder's coding index rests on 3 independent benchmarks and Qwen3 30B A3B's on 0. Where only one model has a result, the page says so instead of naming a winner.