Muse Wonder vs Hy3
Updated October 21, 2026. 35 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 43.9 for Hy3.
Pick Hy3 when output tokens cost 37.9x less.
- Shared results
- 35
- Muse Wonder only
- 25
- Hy3 only
- 9
- 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 43.9.
One benchmark behind each score
Web design
Design Arena: websites
Muse Wonder
Muse Wonder leads, 1361 against 1230.
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
Hy3
Muse Wonder $0.014, Hy3 $0.0004 per turn.
List prices
At a glance
- Coding index
- Muse Wonder 64.5 from 1 benchmark, Hy3 43.9 from 1 benchmark.
- Widest category
- Web design, 20.2 points apart on average over 6 shared benchmarks.
- Widest single gap
- Design Arena: 3D: Muse Wonder 1425 against Hy3 1233, 24.0 points apart on a 0 to 100 scale.
- Output price
- Muse Wonder $20.00 against Hy3 $0.528 per million output tokens, 37.9x apart.
- Context window
- Muse Wonder takes 1.05M tokens, Hy3 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 | Hy3 | Ties |
|---|---|---|---|---|
| Coding | 6 | 0 | ||
| Reasoning | 4 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 4 | 0 | ||
| Web design | 6 | 0 | ||
| General | 13 | 0 | ||
| All shared boards | 35 | 0 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index60
| Benchmark | Muse Wonder | Hy3 | Leader |
|---|---|---|---|
| LMArena WebDev | 1652 | 1507 | 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% | 48.6% | Muse Wonder |
| ALE-Bench | Not measured | 838.6 | Only Hy3 measured |
| LMArena Text: coding | 1522 | 1466 | Muse Wonder |
| LMArena Text: software and IT | 1515 | 1463 | Muse Wonder |
| LMArena WebDev: React | 1641 | 1511 | Muse Wonder |
| LMArena WebDev: HTML | 1694 | 1487 | Muse Wonder |
| Neither model has a result on the other 24 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Muse Wonder | Hy3 | Leader |
|---|---|---|---|
| Epoch Capabilities Index | 161.8 | Not measured | Only Muse Wonder measured |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
| Benchmark | Muse Wonder | Hy3 | 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 |
| Vending-Bench 2 | $9,432 | Not measured | Only Muse Wonder measured |
| Neither model has a result on the other 28 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Muse Wonder | Hy3 | Leader |
|---|---|---|---|
| MysteryMechanism (Vals AI) | 27.5% | Not measured | Only Muse Wonder measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 89.7% | Only Hy3 measured |
| Humanity's Last Exam (Artificial Analysis run) | 50.1% | 33.5% | Muse Wonder |
| LMArena Text: hard prompts | 1506 | 1447 | Muse Wonder |
| LMArena Text: expert | 1513 | 1461 | Muse Wonder |
| LMArena Text: hard prompts in English | 1506 | 1455 | 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 | Hy3 | Leader |
|---|---|---|---|
| ProofBench | 84.0% | Not measured | Only Muse Wonder measured |
| LMArena Text: math | 1486 | 1473 | Muse Wonder |
| LMArena Text: mathematical work | 1514 | 1482 | Muse Wonder |
| Neither model has a result on the other 10 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Muse Wonder | Hy3 | Leader |
|---|---|---|---|
| LMArena Text: science | 1506 | 1457 | Muse Wonder |
| LMArena Text: medicine and healthcare | 1512 | 1452 | Muse Wonder |
| LMArena Text: legal and government | 1505 | 1422 | Muse Wonder |
| LMArena Text: business and finance | 1483 | 1424 | 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 index60
| Benchmark | Muse Wonder | Hy3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1361 | 1230 | Muse Wonder |
| Design Arena: UI components | 1371 | 1205 | Muse Wonder |
| Design Arena: game dev | 1380 | 1208 | Muse Wonder |
| Design Arena: data viz | 1330 | 1163 | Muse Wonder |
| Design Arena: 3D | 1425 | 1233 | Muse Wonder |
| Design Arena: all code categories | 1370 | 1227 | Muse Wonder |
| Design Arena: SVG | Not measured | 1199 | Only Hy3 measured |
| Design Arena: ASCII art | Not measured | 1157 | Only Hy3 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index130
| Benchmark | Muse Wonder | Hy3 | Leader |
|---|---|---|---|
| Vals Index | 64.9% | Not measured | Only Muse Wonder measured |
| Public Benefits Bench (Vals AI) | 70.2% | Not measured | Only Muse Wonder measured |
| Long context reasoning (AA-LCR) | 80.7% | 79.0% | Muse Wonder |
| DTBench | 95.2% | Not measured | Only Muse Wonder measured |
| LMCA | 56.8% | Not measured | Only Muse Wonder measured |
| LMArena Text | 1502 | 1438 | Muse Wonder |
| LMArena Text: instruction following | 1491 | 1426 | Muse Wonder |
| LMArena Text: creative writing | 1491 | 1403 | Muse Wonder |
| LMArena Text: English | 1507 | 1448 | Muse Wonder |
| LMArena Text: non-English | 1492 | 1426 | Muse Wonder |
| LMArena Text: Chinese | 1537 | 1485 | Muse Wonder |
| LMArena Text: German | Not measured | 1449 | Only Hy3 measured |
| LMArena Text: Japanese | Not measured | 1397 | Only Hy3 measured |
| LMArena Text: Korean | Not measured | 1396 | Only Hy3 measured |
| LMArena Text: French | 1523 | 1456 | Muse Wonder |
| LMArena Text: Spanish | Not measured | 1457 | Only Hy3 measured |
| LMArena Text: Russian | 1522 | 1432 | Muse Wonder |
| LMArena Text: Polish | Not measured | 1447 | Only Hy3 measured |
| LMArena Text: multi-turn | 1510 | 1436 | Muse Wonder |
| LMArena Text: longer queries | 1493 | 1442 | Muse Wonder |
| LMArena Text: writing and language | 1496 | 1414 | Muse Wonder |
| LMArena Text: entertainment and media | 1482 | 1400 | Muse Wonder |
| Neither model has a result on the other 24 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Muse Wonder | Hy3 | 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
Hy3 costs less
Repository review
50K input + 3K output tokens
Hy3 costs less
Agent loop
200K input + 10K output tokens
Hy3 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 | Tencent Hy3 |
|---|---|---|
| Maker | Meta | Tencent |
| Weights | No public weights listed | Open weights |
| Released | October 12, 2026 | July 6, 2026 |
| Context window | 1.05M | 262K |
| Input $/Mtok | $4.00 | $0.132 |
| Output $/Mtok | $20.00 | $0.528 |
| Coding index | 64.5 | 43.9 |
| 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 Hy3 for coding?
Pick Muse Wonder for coding: it scores 64.5 on the Vibe Coding Index against 43.9 for Hy3. Pick Hy3 when output tokens cost 37.9x less.
Which is cheaper, Muse Wonder or Hy3?
Muse Wonder costs $4.00 per million input tokens and $20.00 per million output tokens; Hy3 costs $0.132 and $0.528. Cost per solved task is known for neither of them.
Which has the bigger context window, Muse Wonder or Hy3?
Muse Wonder, with 1.05M tokens against 262K.
How many benchmarks is the Muse Wonder vs Hy3 comparison based on?
35 benchmarks have a result for both models as of October 21, 2026. Muse Wonder's coding index rests on 1 independent benchmark and Hy3's on 1. Where only one model has a result, the page says so instead of naming a winner.