Muse Wonder vs Qwen3.8 Max (0902)
Muse Wonder leads Qwen3.8 Max (0902) on coding, 71.9 to 62.4 on the Vibe Coding Index, and Qwen3.8 Max (0902) costs 3.3x less per output token ($6.00 vs $20.00 per million). Updated October 22, 2026; 54 benchmarks have a result for both.
Muse Wonder or Qwen3.8 Max (0902): which to pick
Pick Muse Wonder for coding: it scores 71.9 on the Vibe Coding Index against 62.4 for Qwen3.8 Max (0902), though on 3 benchmarks against 5.
Pick Qwen3.8 Max (0902) for output tokens 3.3x cheaper ($6.00 vs $20.00 per million) and work measured by LMArena WebDev or IOI (Vals AI), where it leads.
- Shared results
- 54
- Muse Wonder only
- 6
- Qwen3.8 Max (0902) only
- 60
- Like-for-like categories
- 8 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
Muse Wonder
Muse Wonder scores 71.9 against 62.4.
3 and 5 benchmarks behind the scores
Intelligence
AA Intelligence Index
No call
Only Qwen3.8 Max (0902) has a AA Intelligence Index result, 45.4.
Directional only
Agentic work
AA Agentic Index
No call
Only Qwen3.8 Max (0902) has a AA Agentic Index result, 56.0.
Directional only
Reasoning
GPQA Diamond
No call
Only Qwen3.8 Max (0902) has a GPQA Diamond result, 93.7%.
Directional only
Knowledge
MMLU Pro
No call
Only Qwen3.8 Max (0902) has a MMLU Pro result, 88.6%.
Directional only
Web design
Design Arena: websites
Muse Wonder
Muse Wonder leads, 1363 against 1275.
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 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.8 Max (0902)
Muse Wonder $0.014, Qwen3.8 Max (0902) $0.0050 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Qwen3.8 Max (0902) has the number, $1.32.
Directional only
At a glance
- Coding index
- Muse Wonder 71.9 from 3 benchmarks, Qwen3.8 Max (0902) 62.4 from 5 benchmarks.
- Widest category
- Coding, 12.6 points apart on average over 13 shared benchmarks.
- Widest single gap
- CyberBench (Vals AI): Muse Wonder 80.4% against Qwen3.8 Max (0902) 28.6%, 51.8 points apart on a 0 to 100 scale.
- Output price
- Muse Wonder $20.00 against Qwen3.8 Max (0902) $6.00 per million output tokens, 3.3x apart.
- Context window
- Muse Wonder takes 1.05M tokens, Qwen3.8 Max (0902) 1M.
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 | Qwen3.8 Max (0902) | Ties |
|---|---|---|---|---|
| Coding | 10 | 3 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 6 | 0 | ||
| Reasoning | 5 | 0 | ||
| Math | 2 | 1 | ||
| Knowledge | 3 | 1 | ||
| Web design | 6 | 0 | ||
| General | 15 | 1 | ||
| All shared boards | 48 | 6 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index103
| Benchmark | Muse Wonder | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 60.3% | Only Qwen3.8 Max (0902) measured |
| LMArena WebDev | 1652 | 1674 | Qwen3.8 Max (0902) |
| AA Coding Index | Not measured | 76.2 | Only Qwen3.8 Max (0902) measured |
| LiveCodeBench (Vals AI) | Not measured | 87.8% | Only Qwen3.8 Max (0902) measured |
| SWE-bench Verified (Vals AI) | Not measured | 85.6% | Only Qwen3.8 Max (0902) measured |
| Terminal-Bench 4 (Vals AI) | 49.5% | 34.3% | Muse Wonder |
| Vibe Code Bench (Vals AI) | 83.1% | 64.7% | Muse Wonder |
| Code migration (Vals AI) | 62.5% | 24.0% | Muse Wonder |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only Qwen3.8 Max (0902) measured |
| IOI (Vals AI) | 66.9% | 68.9% | Qwen3.8 Max (0902) |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 67.4% | Only Qwen3.8 Max (0902) measured |
| SWE-bench Multimodal (Vals AI) | 45.6% | 42.5% | Muse Wonder |
| Vibe Code Bench 1-100 (Vals AI) | 26.6% | 12.8% | Muse Wonder |
| SkillsBench (Vals AI) | Not measured | 42.0% | Only Qwen3.8 Max (0902) measured |
| CyberBench (Vals AI) | 80.4% | 28.6% | Muse Wonder |
| SciCode | 60.3% | 53.2% | Muse Wonder |
| FrontierSWE | Not measured | 17.8% | Only Qwen3.8 Max (0902) measured |
| LMArena Text: coding | 1522 | 1502 | Muse Wonder |
| LMArena Text: software and IT | 1515 | 1498 | Muse Wonder |
| LMArena WebDev: React | 1641 | 1692 | Qwen3.8 Max (0902) |
| LMArena WebDev: HTML | 1694 | 1649 | Muse Wonder |
| LMArena WebDev: from an image | Not measured | 1637 | Only Qwen3.8 Max (0902) measured |
| Neither model has a result on the other 21 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Muse Wonder | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 45.4 | Only Qwen3.8 Max (0902) measured |
| Epoch Capabilities Index | 161.8 | 157.4 | Muse Wonder |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Muse Wonder | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 56.0 | Only Qwen3.8 Max (0902) measured |
| Design Arena: agents building web apps | Not measured | 1300 | Only Qwen3.8 Max (0902) measured |
| Design Arena: agents building full-stack apps | Not measured | 1305 | Only Qwen3.8 Max (0902) measured |
| Design Arena: agents building mobile apps | Not measured | 1224 | Only Qwen3.8 Max (0902) measured |
| Design Arena: agents building Android apps | Not measured | 1190 | Only Qwen3.8 Max (0902) measured |
| Design Arena: agents building Godot games | Not measured | 1234 | Only Qwen3.8 Max (0902) measured |
| Design Arena: PowerPoint slides | Not measured | 1232 | Only Qwen3.8 Max (0902) measured |
| Design Arena: spreadsheets | 1258 | 993 | Muse Wonder |
| LiveBench research | Not measured | 69.9% | Only Qwen3.8 Max (0902) measured |
| LiveBench browser | Not measured | 32.0% | Only Qwen3.8 Max (0902) measured |
| LiveBench long agentic | Not measured | 42.3% | Only Qwen3.8 Max (0902) measured |
| Finance Agent (Vals AI) | 56.6% | 50.6% | Muse Wonder |
| Tax Agent Bench (Vals AI) | 36.3% | 32.1% | Muse Wonder |
| Legal Research Bench (Vals AI) | 50.5% | 47.6% | Muse Wonder |
| Harvey's Legal Agent Benchmark (Vals AI) | 23.8% | Not measured | Only Muse Wonder measured |
| Excel Modeling Benchmark (Vals AI) | 67.1% | 60.1% | Muse Wonder |
| BioMysteryBench (Vals AI) | 67.0% | Not measured | Only Muse Wonder measured |
| Terminal-Bench-Science (Vals AI) | 22.9% | 12.9% | Muse Wonder |
| Vals Science Index | 39.1% | Not measured | Only Muse Wonder measured |
| CUA-bench (Vals AI) | 7.2% | Not measured | Only Muse Wonder measured |
| APEX-Agents | Not measured | 63.3% | Only Qwen3.8 Max (0902) measured |
| Vending-Bench 2 | $9,432 | Not measured | Only Muse Wonder measured |
| LMArena Search | Not measured | 1261 | Only Qwen3.8 Max (0902) measured |
| Neither model has a result on the other 19 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Muse Wonder | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 93.7% | Only Qwen3.8 Max (0902) measured |
| LiveBench reasoning | Not measured | 88.2% | Only Qwen3.8 Max (0902) measured |
| MysteryMechanism (Vals AI) | 27.5% | 23.9% | Muse Wonder |
| MMMU Pro (Vals AI) | Not measured | 88.0% | Only Qwen3.8 Max (0902) measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 92.8% | Only Qwen3.8 Max (0902) measured |
| Humanity's Last Exam (Artificial Analysis run) | 50.1% | 43.1% | Muse Wonder |
| GPQA Diamond (Epoch AI run) | Not measured | 92.7% | Only Qwen3.8 Max (0902) measured |
| Chess puzzles | Not measured | 46.0% | Only Qwen3.8 Max (0902) measured |
| Mystery game puzzles | Not measured | 38.0% | Only Qwen3.8 Max (0902) measured |
| LMArena Text: hard prompts | 1506 | 1496 | Muse Wonder |
| LMArena Text: expert | 1513 | 1507 | Muse Wonder |
| LMArena Text: hard prompts in English | 1506 | 1503 | Muse Wonder |
| LMArena Vision: diagrams | Not measured | 1323 | Only Qwen3.8 Max (0902) measured |
| LMArena Vision: homework | Not measured | 1336 | Only Qwen3.8 Max (0902) measured |
| Neither model has a result on the other 9 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index21
| Benchmark | Muse Wonder | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| OTIS Mock AIME | Not measured | 100.0% | Only Qwen3.8 Max (0902) measured |
| FrontierMath, tiers 1 to 3 | Not measured | 74.7% | Only Qwen3.8 Max (0902) measured |
| FrontierMath, tier 4 | Not measured | 46.3% | Only Qwen3.8 Max (0902) measured |
| ProofBench | 84.0% | 58.0% | Muse Wonder |
| LMArena Text: math | 1486 | 1501 | Qwen3.8 Max (0902) |
| LMArena Text: mathematical work | 1514 | 1491 | Muse Wonder |
| MathArena | Not measured | 51.6% | Only Qwen3.8 Max (0902) measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index31
| Benchmark | Muse Wonder | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 88.6% | Only Qwen3.8 Max (0902) measured |
| LegalBench (Vals AI) | Not measured | 83.6% | Only Qwen3.8 Max (0902) measured |
| CorpFin (Vals AI) | Not measured | 65.8% | Only Qwen3.8 Max (0902) measured |
| TaxEval (Vals AI) | Not measured | 75.5% | Only Qwen3.8 Max (0902) measured |
| MortgageTax (Vals AI) | Not measured | 64.0% | Only Qwen3.8 Max (0902) measured |
| MedCode (Vals AI) | Not measured | 40.7% | Only Qwen3.8 Max (0902) measured |
| SimpleQA Verified | Not measured | 47.3% | Only Qwen3.8 Max (0902) measured |
| LMArena Text: science | 1506 | 1512 | Qwen3.8 Max (0902) |
| LMArena Text: medicine and healthcare | 1512 | 1503 | Muse Wonder |
| LMArena Text: legal and government | 1505 | 1492 | Muse Wonder |
| LMArena Text: business and finance | 1483 | 1480 | Muse Wonder |
| Neither model has a result on the other 9 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Muse Wonder | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| Design Arena: websites | 1363 | 1275 | Muse Wonder |
| Design Arena: UI components | 1380 | 1336 | Muse Wonder |
| Design Arena: game dev | 1379 | 1312 | Muse Wonder |
| Design Arena: data viz | 1312 | 1282 | Muse Wonder |
| Design Arena: 3D | 1428 | 1336 | Muse Wonder |
| Design Arena: all code categories | 1372 | 1292 | Muse Wonder |
| Design Arena: ASCII art | Not measured | 1200 | Only Qwen3.8 Max (0902) measured |
| LiveBench design | Not measured | 78.6% | Only Qwen3.8 Max (0902) measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index151
| Benchmark | Muse Wonder | Qwen3.8 Max (0902) | Leader |
|---|---|---|---|
| Vals Index | 64.9% | Not measured | Only Muse Wonder measured |
| LiveBench data analysis | Not measured | 78.4% | Only Qwen3.8 Max (0902) measured |
| Public Benefits Bench (Vals AI) | 70.2% | 67.1% | Muse Wonder |
| SAGE (Vals AI) | Not measured | 51.2% | Only Qwen3.8 Max (0902) measured |
| MedScribe (Vals AI) | Not measured | 85.0% | Only Qwen3.8 Max (0902) measured |
| Vals Multimodal Index | Not measured | 65.4% | Only Qwen3.8 Max (0902) measured |
| Long context reasoning (AA-LCR) | 80.7% | 80.3% | Muse Wonder |
| DTBench | 95.2% | 92.0% | Muse Wonder |
| LMCA | 56.8% | 46.2% | Muse Wonder |
| Furniture assembly | Not measured | 20.0% | Only Qwen3.8 Max (0902) measured |
| LMArena Text | 1502 | 1483 | Muse Wonder |
| LMArena Text: instruction following | 1491 | 1481 | Muse Wonder |
| LMArena Text: creative writing | 1491 | 1477 | Muse Wonder |
| LMArena Vision | Not measured | 1313 | Only Qwen3.8 Max (0902) measured |
| LMArena Text: English | 1507 | 1491 | Muse Wonder |
| LMArena Text: non-English | 1492 | 1473 | Muse Wonder |
| LMArena Text: Chinese | 1537 | 1539 | Qwen3.8 Max (0902) |
| LMArena Text: German | Not measured | 1478 | Only Qwen3.8 Max (0902) measured |
| LMArena Text: Japanese | Not measured | 1473 | Only Qwen3.8 Max (0902) measured |
| LMArena Text: Korean | Not measured | 1460 | Only Qwen3.8 Max (0902) measured |
| LMArena Text: French | 1523 | 1498 | Muse Wonder |
| LMArena Text: Spanish | Not measured | 1489 | Only Qwen3.8 Max (0902) measured |
| LMArena Text: Russian | 1522 | 1482 | Muse Wonder |
| LMArena Text: Polish | Not measured | 1471 | Only Qwen3.8 Max (0902) measured |
| LMArena Text: multi-turn | 1510 | 1489 | Muse Wonder |
| LMArena Text: longer queries | 1493 | 1488 | Muse Wonder |
| LMArena Text: writing and language | 1496 | 1477 | Muse Wonder |
| LMArena Text: entertainment and media | 1482 | 1464 | Muse Wonder |
| LMArena Vision: English | Not measured | 1311 | Only Qwen3.8 Max (0902) measured |
| LMArena Vision: Chinese | Not measured | 1358 | Only Qwen3.8 Max (0902) measured |
| LMArena Vision: reading text | Not measured | 1322 | Only Qwen3.8 Max (0902) measured |
| LMArena Vision: humor | Not measured | 1304 | Only Qwen3.8 Max (0902) measured |
| LMArena Vision: creative writing | Not measured | 1312 | Only Qwen3.8 Max (0902) measured |
| Neither model has a result on the other 15 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Muse Wonder | Qwen3.8 Max (0902) | 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
Qwen3.8 Max (0902) costs less
Repository review
50K input + 3K output tokens
Qwen3.8 Max (0902) costs less
Agent loop
200K input + 10K output tokens
Qwen3.8 Max (0902) 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 | Qwen3.8 Max (0902) |
|---|---|---|
| Maker | Meta | Qwen |
| Weights | No public weights listed | No public weights listed |
| Released | October 12, 2026 | September 3, 2026 |
| Context window | 1.05M | 1M |
| Input $/Mtok | $4.00 | $2.00 |
| Output $/Mtok | $20.00 | $6.00 |
| Coding index | 71.9 | 62.4 |
| Independent measurements behind it | 3 | 5 |
| Cost per solved task | Not computable | $1.32 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Muse Wonder better than Qwen3.8 Max (0902) for coding?
Pick Muse Wonder for coding: it scores 71.9 on the Vibe Coding Index against 62.4 for Qwen3.8 Max (0902), though on 3 benchmarks against 5. Pick Qwen3.8 Max (0902) for output tokens 3.3x cheaper ($6.00 vs $20.00 per million) and work measured by LMArena WebDev or IOI (Vals AI), where it leads.
Which is cheaper, Muse Wonder or Qwen3.8 Max (0902)?
Muse Wonder costs $4.00 per million input tokens and $20.00 per million output tokens; Qwen3.8 Max (0902) costs $2.00 and $6.00. Cost per solved task is known for Qwen3.8 Max (0902) only.
Which has the bigger context window, Muse Wonder or Qwen3.8 Max (0902)?
Muse Wonder, with 1.05M tokens against 1M.
How many benchmarks is the Muse Wonder vs Qwen3.8 Max (0902) comparison based on?
54 benchmarks have a result for both models as of October 22, 2026. Muse Wonder's coding index rests on 3 independent benchmarks and Qwen3.8 Max (0902)'s on 5. Where only one model has a result, the page says so instead of naming a winner.