Muse Wonder vs Qwen3.5 397B A17B
Qwen3.5 397B A17B costs 8.5x less per output token than Muse Wonder ($2.34 vs $20.00 per million). Updated October 22, 2026; 38 benchmarks have a result for both.
Muse Wonder or Qwen3.5 397B A17B: which to pick
Only Muse Wonder has a coding score, 71.9 on the Vibe Coding Index; Qwen3.5 397B A17B has none, so the two cannot be ranked on coding.
Pick Qwen3.5 397B A17B for output tokens 8.5x cheaper ($2.34 vs $20.00 per million).
- Shared results
- 38
- Muse Wonder only
- 22
- Qwen3.5 397B A17B only
- 28
- 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 Qwen3.5 397B A17B has a AA Intelligence Index result, 21.4.
Directional only
Web design
Design Arena: websites
Muse Wonder
Muse Wonder leads, 1363 against 1190.
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 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.5 397B A17B
Muse Wonder $0.014, Qwen3.5 397B A17B $0.0016 per turn.
List prices
At a glance
- Coding index
- Muse Wonder 71.9 from 3 benchmarks, Qwen3.5 397B A17B not benchmarked.
- Widest category
- Web design, 25.6 points apart on average over 6 shared benchmarks.
- Widest single gap
- LMArena WebDev: Muse Wonder 1652 against Qwen3.5 397B A17B 1400, 35.9 points apart on a 0 to 100 scale.
- Output price
- Muse Wonder $20.00 against Qwen3.5 397B A17B $2.34 per million output tokens, 8.5x apart.
- Context window
- Muse Wonder takes 1.05M tokens, Qwen3.5 397B A17B 262K.
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 | Qwen3.5 397B A17B | Ties |
|---|---|---|---|---|
| Coding | 6 | 0 | ||
| Intelligence | 1 | 0 | ||
| Reasoning | 4 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 4 | 0 | ||
| Web design | 6 | 0 | ||
| General | 15 | 0 | ||
| All shared boards | 38 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
| Benchmark | Muse Wonder | Qwen3.5 397B A17B | Leader |
|---|---|---|---|
| LMArena WebDev | 1652 | 1400 | Muse Wonder |
| 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 |
| SciCode | 60.3% | 44.8% | Muse Wonder |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 40.9% | Only Qwen3.5 397B A17B measured |
| ALE-Bench | Not measured | 621.9 | Only Qwen3.5 397B A17B measured |
| LMArena Text: coding | 1522 | 1464 | Muse Wonder |
| LMArena Text: software and IT | 1515 | 1463 | Muse Wonder |
| LMArena WebDev: React | 1641 | 1388 | Muse Wonder |
| LMArena WebDev: HTML | 1694 | 1410 | Muse Wonder |
| Neither model has a result on the other 28 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Muse Wonder | Qwen3.5 397B A17B | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 21.4 | Only Qwen3.5 397B A17B measured |
| Epoch Capabilities Index | 161.8 | 146.8 | Muse Wonder |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index13 boards, none shared
| Benchmark | Muse Wonder | Qwen3.5 397B A17B | Leader |
|---|---|---|---|
| Design Arena: spreadsheets | 1258 | 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 | 95.6% | Only Qwen3.5 397B A17B measured |
| APEX-Agents | Not measured | 24.9% | Only Qwen3.5 397B A17B 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 | Qwen3.5 397B A17B | Leader |
|---|---|---|---|
| MysteryMechanism (Vals AI) | 27.5% | Not measured | Only Muse Wonder measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 89.3% | Only Qwen3.5 397B A17B measured |
| Humanity's Last Exam (Artificial Analysis run) | 50.1% | 29.0% | Muse Wonder |
| GPQA Diamond (Epoch AI run) | Not measured | 86.4% | Only Qwen3.5 397B A17B measured |
| Mystery game puzzles | Not measured | 18.0% | Only Qwen3.5 397B A17B measured |
| LMArena Text: hard prompts | 1506 | 1448 | Muse Wonder |
| LMArena Text: expert | 1513 | 1462 | Muse Wonder |
| LMArena Text: hard prompts in English | 1506 | 1450 | Muse Wonder |
| LMArena Vision: diagrams | Not measured | 1277 | Only Qwen3.5 397B A17B measured |
| LMArena Vision: homework | Not measured | 1292 | Only Qwen3.5 397B A17B measured |
| Neither model has a result on the other 13 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Muse Wonder | Qwen3.5 397B A17B | Leader |
|---|---|---|---|
| OTIS Mock AIME | Not measured | 88.9% | Only Qwen3.5 397B A17B measured |
| FrontierMath, tiers 1 to 3 | Not measured | 31.2% | Only Qwen3.5 397B A17B measured |
| ProofBench | 84.0% | Not measured | Only Muse Wonder measured |
| LMArena Text: math | 1486 | 1453 | Muse Wonder |
| LMArena Text: mathematical work | 1514 | 1454 | Muse Wonder |
| MathArena | Not measured | 19.2% | Only Qwen3.5 397B A17B measured |
| Neither model has a result on the other 8 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Muse Wonder | Qwen3.5 397B A17B | Leader |
|---|---|---|---|
| LMArena Text: science | 1506 | 1457 | Muse Wonder |
| LMArena Text: medicine and healthcare | 1512 | 1455 | Muse Wonder |
| LMArena Text: legal and government | 1505 | 1441 | Muse Wonder |
| LMArena Text: business and finance | 1483 | 1435 | Muse Wonder |
| Neither model has a result on the other 16 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Muse Wonder | Qwen3.5 397B A17B | Leader |
|---|---|---|---|
| Design Arena: websites | 1363 | 1190 | Muse Wonder |
| Design Arena: UI components | 1380 | 1161 | Muse Wonder |
| Design Arena: game dev | 1379 | 1140 | Muse Wonder |
| Design Arena: data viz | 1312 | 1175 | Muse Wonder |
| Design Arena: 3D | 1428 | 1160 | Muse Wonder |
| Design Arena: all code categories | 1372 | 1179 | Muse Wonder |
| Design Arena: SVG | Not measured | 1139 | Only Qwen3.5 397B A17B measured |
| Neither model has a result on the other 2 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index150
| Benchmark | Muse Wonder | Qwen3.5 397B A17B | 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 | 78.8% | Only Qwen3.5 397B A17B measured |
| Long context reasoning (AA-LCR) | 80.7% | 77.3% | Muse Wonder |
| DTBench | 95.2% | 87.5% | Muse Wonder |
| LMCA | 56.8% | 37.9% | Muse Wonder |
| LMArena Text | 1502 | 1437 | Muse Wonder |
| LMArena Text: instruction following | 1491 | 1424 | Muse Wonder |
| LMArena Text: creative writing | 1491 | 1402 | Muse Wonder |
| LMArena Vision | Not measured | 1262 | Only Qwen3.5 397B A17B measured |
| LMArena Text: English | 1507 | 1443 | Muse Wonder |
| LMArena Text: non-English | 1492 | 1430 | Muse Wonder |
| LMArena Text: Chinese | 1537 | 1498 | Muse Wonder |
| LMArena Text: German | Not measured | 1445 | Only Qwen3.5 397B A17B measured |
| LMArena Text: Japanese | Not measured | 1429 | Only Qwen3.5 397B A17B measured |
| LMArena Text: Korean | Not measured | 1384 | Only Qwen3.5 397B A17B measured |
| LMArena Text: French | 1523 | 1462 | Muse Wonder |
| LMArena Text: Spanish | Not measured | 1441 | Only Qwen3.5 397B A17B measured |
| LMArena Text: Russian | 1522 | 1430 | Muse Wonder |
| LMArena Text: Polish | Not measured | 1447 | Only Qwen3.5 397B A17B measured |
| LMArena Text: multi-turn | 1510 | 1446 | Muse Wonder |
| LMArena Text: longer queries | 1493 | 1441 | Muse Wonder |
| LMArena Text: writing and language | 1496 | 1415 | Muse Wonder |
| LMArena Text: entertainment and media | 1482 | 1399 | Muse Wonder |
| LMArena Vision: English | Not measured | 1268 | Only Qwen3.5 397B A17B measured |
| LMArena Vision: Chinese | Not measured | 1314 | Only Qwen3.5 397B A17B measured |
| LMArena Vision: reading text | Not measured | 1271 | Only Qwen3.5 397B A17B measured |
| LMArena Vision: humor | Not measured | 1262 | Only Qwen3.5 397B A17B measured |
| LMArena Vision: captioning | Not measured | 1230 | Only Qwen3.5 397B A17B measured |
| LMArena Vision: recognizing things | Not measured | 1265 | Only Qwen3.5 397B A17B measured |
| LMArena Vision: creative writing | Not measured | 1260 | Only Qwen3.5 397B A17B measured |
| Neither model has a result on the other 17 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Muse Wonder | Qwen3.5 397B A17B | 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
Qwen3.5 397B A17B costs less
Repository review
50K input + 3K output tokens
Qwen3.5 397B A17B costs less
Agent loop
200K input + 10K output tokens
Qwen3.5 397B A17B 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 | Qwen3.5 397B A17B |
|---|---|---|
| Maker | Meta | Qwen |
| Weights | No public weights listed | Open weights |
| Released | October 12, 2026 | February 16, 2026 |
| Context window | 1.05M | 262K |
| Input $/Mtok | $4.00 | $0.39 |
| Output $/Mtok | $20.00 | $2.34 |
| Coding index | 71.9 | Not benchmarked |
| Independent measurements behind it | 3 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Muse Wonder better than Qwen3.5 397B A17B for coding?
Only Muse Wonder has a coding score, 71.9 on the Vibe Coding Index; Qwen3.5 397B A17B has none, so the two cannot be ranked on coding. Pick Qwen3.5 397B A17B for output tokens 8.5x cheaper ($2.34 vs $20.00 per million).
Which is cheaper, Muse Wonder or Qwen3.5 397B A17B?
Muse Wonder costs $4.00 per million input tokens and $20.00 per million output tokens; Qwen3.5 397B A17B costs $0.39 and $2.34. Cost per solved task is known for neither of them.
Which has the bigger context window, Muse Wonder or Qwen3.5 397B A17B?
Muse Wonder, with 1.05M tokens against 262K.
How many benchmarks is the Muse Wonder vs Qwen3.5 397B A17B comparison based on?
38 benchmarks have a result for both models as of October 22, 2026. Muse Wonder's coding index rests on 3 independent benchmarks and Qwen3.5 397B A17B's on 1. Where only one model has a result, the page says so instead of naming a winner.