Muse Ember vs Muse Wonder
Muse Wonder leads Muse Ember on coding, 71.8 to 64.9 on the Vibe Coding Index, and Muse Ember costs 40.0x less per output token ($0.50 vs $20.00 per million). Updated November 14, 2026; 14 benchmarks have a result for both.
Muse Ember or Muse Wonder: which to pick
Pick Muse Wonder for coding: it scores 71.8 on the Vibe Coding Index against 64.9 for Muse Ember.
Pick Muse Ember for output tokens 40.0x cheaper ($0.50 vs $20.00 per million) and work measured by Vibe Code Bench (Vals AI) or Tax Agent Bench (Vals AI), where it leads.
- Shared results
- 14
- Muse Ember only
- 1
- Muse Wonder only
- 66
- Like-for-like categories
- 5 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 71.8 against 64.9.
3 benchmarks behind each score
Intelligence
AA Intelligence Index
No call
Only Muse Wonder has a AA Intelligence Index result, 43.6.
Directional only
Web design
Design Arena: websites
No call
Only Muse Wonder has a Design Arena: websites result, 1378.
Directional only
General
Vals Index
Muse Wonder
Muse Wonder leads, 64.9% against 60.5%.
Same board, both measured
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Muse Ember
Muse Ember $0.0003, Muse Wonder $0.014 per turn.
List prices
At a glance
- Coding index
- Muse Ember 64.9 from 3 benchmarks, Muse Wonder 71.8 from 3 benchmarks.
- Widest category
- Reasoning, 12.9 points apart on average over 2 shared benchmarks.
- Widest single gap
- HLE-Diamond (Artificial Analysis run): Muse Ember 25.1% against Muse Wonder 39.0%, 13.9 points apart on a 0 to 100 scale.
- Output price
- Muse Ember $0.50 against Muse Wonder $20.00 per million output tokens, 40.0x apart.
- Context window
- Both take 1.05M tokens.
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 Ember | Bars | Muse Wonder | Ties |
|---|---|---|---|---|
| Coding | 1 | 6 | ||
| Agentic work | 2 | 1 | ||
| Reasoning | 0 | 2 | ||
| Knowledge | 0 | 1 | ||
| General | 0 | 1 | ||
| All shared boards | 3 | 11 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index16
| Benchmark | Muse Ember | Muse Wonder | Leader |
|---|---|---|---|
| LMArena WebDev | 1609 | 1647 | Muse Wonder |
| Terminal-Bench 4 (Vals AI) | 39.4% | 49.5% | Muse Wonder |
| Vibe Code Bench (Vals AI) | 83.7% | 83.1% | Muse Ember |
| Code migration (Vals AI) | Not measured | 62.5% | Only Muse Wonder measured |
| IOI (Vals AI) | Not measured | 66.9% | Only Muse Wonder measured |
| SWE-bench Multimodal (Vals AI) | Not measured | 45.6% | Only Muse Wonder measured |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 26.6% | Only Muse Wonder measured |
| CyberBench (Vals AI) | Not measured | 80.4% | Only Muse Wonder measured |
| SciCode | Not measured | 60.3% | Only Muse Wonder measured |
| Terminal-Bench 4.0 (Artificial Analysis run) | 40.9% | 52.0% | Muse Wonder |
| FrontierCode 2.0 | 27.2% | 27.9% | Muse Wonder |
| LMArena Text: coding | Not measured | 1516 | Only Muse Wonder measured |
| LMArena Text: software and IT | Not measured | 1520 | Only Muse Wonder measured |
| LMArena WebDev: React | 1616 | 1650 | Muse Wonder |
| LMArena WebDev: HTML | 1621 | 1661 | Muse Wonder |
| GameBench 2 | Not measured | 77.8 | Only Muse Wonder measured |
| Terminal-Bench 4.0 | Not measured | 47.0% | Only Muse Wonder measured |
| CursorBench 4.0 | Not measured | 50.4% | Only Muse Wonder measured |
| ProgramBench | Not measured | 5.5% | Only Muse Wonder measured |
| Neither model has a result on the other 33 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Muse Ember | Muse Wonder | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 43.6 | Only Muse Wonder measured |
| Epoch Capabilities Index | Not measured | 161.7 | Only Muse Wonder measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index21
| Benchmark | Muse Ember | Muse Wonder | Leader |
|---|---|---|---|
| Design Arena: HTML slides | Not measured | 1127 | Only Muse Wonder measured |
| Design Arena: PowerPoint slides | Not measured | 1029 | Only Muse Wonder measured |
| Design Arena: spreadsheets | Not measured | 1248 | Only Muse Wonder measured |
| Finance Agent (Vals AI) | Not measured | 56.6% | Only Muse Wonder measured |
| Tax Agent Bench (Vals AI) | 38.2% | 36.3% | Muse Ember |
| Legal Research Bench (Vals AI) | 49.0% | 50.5% | Muse Wonder |
| Harvey's Legal Agent Benchmark (Vals AI) | 25.0% | 23.8% | Muse Ember |
| Excel Modeling Benchmark (Vals AI) | Not measured | 67.1% | Only Muse Wonder measured |
| BioMysteryBench (Vals AI) | Not measured | 67.0% | Only Muse Wonder measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 22.9% | Only Muse Wonder measured |
| Vals Science Index | Not measured | 39.1% | Only Muse Wonder measured |
| CUA-bench (Vals AI) | Not measured | 7.2% | Only Muse Wonder measured |
| APEX-Agents | 64.3% | Not measured | Only Muse Ember measured |
| PostTrainBench | Not measured | 24.2% | Only Muse Wonder measured |
| Vending-Bench 2 | Not measured | $9,432 | 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 index02
| Benchmark | Muse Ember | Muse Wonder | Leader |
|---|---|---|---|
| MysteryMechanism (Vals AI) | Not measured | 27.5% | Only Muse Wonder measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 50.1% | Only Muse Wonder measured |
| HLE-Diamond (Artificial Analysis run) | 25.1% | 39.0% | Muse Wonder |
| CritPt v2, hard subset (Artificial Analysis run) | 39.0% | 51.0% | Muse Wonder |
| LMArena Text: hard prompts | Not measured | 1514 | Only Muse Wonder measured |
| LMArena Text: expert | Not measured | 1514 | Only Muse Wonder measured |
| LMArena Text: hard prompts in English | Not measured | 1519 | Only Muse Wonder measured |
| Neither model has a result on the other 19 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
| Benchmark | Muse Ember | Muse Wonder | Leader |
|---|---|---|---|
| ProofBench | Not measured | 84.0% | Only Muse Wonder measured |
| LMArena Text: math | Not measured | 1478 | Only Muse Wonder measured |
| LMArena Text: mathematical work | Not measured | 1490 | Only Muse Wonder measured |
| MathArena | Not measured | 51.3% | Only Muse Wonder measured |
| Neither model has a result on the other 10 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Muse Ember | Muse Wonder | Leader |
|---|---|---|---|
| AA-Omniscience | 7.7 | 25.1 | Muse Wonder |
| LMArena Text: science | Not measured | 1511 | Only Muse Wonder measured |
| LMArena Text: medicine and healthcare | Not measured | 1506 | Only Muse Wonder measured |
| LMArena Text: legal and government | Not measured | 1520 | Only Muse Wonder measured |
| LMArena Text: business and finance | Not measured | 1490 | Only Muse Wonder measured |
| Neither model has a result on the other 16 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Muse Ember | Muse Wonder | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1378 | Only Muse Wonder measured |
| Design Arena: UI components | Not measured | 1365 | Only Muse Wonder measured |
| Design Arena: game dev | Not measured | 1414 | Only Muse Wonder measured |
| Design Arena: data viz | Not measured | 1289 | Only Muse Wonder measured |
| Design Arena: 3D | Not measured | 1431 | Only Muse Wonder measured |
| Design Arena: all code categories | Not measured | 1392 | 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 index01
| Benchmark | Muse Ember | Muse Wonder | Leader |
|---|---|---|---|
| Vals Index | 60.5% | 64.9% | Muse Wonder |
| Public Benefits Bench (Vals AI) | Not measured | 70.2% | Only Muse Wonder measured |
| Long context reasoning (AA-LCR) | Not measured | 80.7% | Only Muse Wonder measured |
| GDPval-AA | Not measured | 1770 | Only Muse Wonder measured |
| DTBench | Not measured | 95.2% | Only Muse Wonder measured |
| LMCA | Not measured | 56.8% | Only Muse Wonder measured |
| LMArena Text | Not measured | 1503 | Only Muse Wonder measured |
| LMArena Text: instruction following | Not measured | 1494 | Only Muse Wonder measured |
| LMArena Text: creative writing | Not measured | 1493 | Only Muse Wonder measured |
| LMArena Text: English | Not measured | 1509 | Only Muse Wonder measured |
| LMArena Text: non-English | Not measured | 1491 | Only Muse Wonder measured |
| LMArena Text: Chinese | Not measured | 1536 | Only Muse Wonder measured |
| LMArena Text: Japanese | Not measured | 1519 | Only Muse Wonder measured |
| LMArena Text: Korean | Not measured | 1476 | Only Muse Wonder measured |
| LMArena Text: French | Not measured | 1512 | Only Muse Wonder measured |
| LMArena Text: Spanish | Not measured | 1477 | Only Muse Wonder measured |
| LMArena Text: Russian | Not measured | 1514 | Only Muse Wonder measured |
| LMArena Text: Polish | Not measured | 1537 | Only Muse Wonder measured |
| LMArena Text: multi-turn | Not measured | 1514 | Only Muse Wonder measured |
| LMArena Text: longer queries | Not measured | 1497 | Only Muse Wonder measured |
| LMArena Text: writing and language | Not measured | 1496 | Only Muse Wonder measured |
| LMArena Text: entertainment and media | Not measured | 1485 | Only Muse Wonder measured |
| EQ-Bench 4 | Not measured | 1325 | Only Muse Wonder measured |
| 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 Ember | Muse Wonder | 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
Muse Ember costs less
Repository review
50K input + 3K output tokens
Muse Ember costs less
Agent loop
200K input + 10K output tokens
Muse Ember 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 Ember | Meta Muse Wonder |
|---|---|---|
| Maker | Meta | Meta |
| Weights | No public weights listed | No public weights listed |
| Released | November 9, 2026 | October 12, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.10 | $4.00 |
| Output $/Mtok | $0.50 | $20.00 |
| Coding index | 64.9 | 71.8 |
| Independent measurements behind it | 3 | 3 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Muse Ember better than Muse Wonder for coding?
Pick Muse Wonder for coding: it scores 71.8 on the Vibe Coding Index against 64.9 for Muse Ember. Pick Muse Ember for output tokens 40.0x cheaper ($0.50 vs $20.00 per million) and work measured by Vibe Code Bench (Vals AI) or Tax Agent Bench (Vals AI), where it leads.
Which is cheaper, Muse Ember or Muse Wonder?
Muse Ember costs $0.10 per million input tokens and $0.50 per million output tokens; Muse Wonder costs $4.00 and $20.00. Cost per solved task is known for neither of them.
Which has the bigger context window, Muse Ember or Muse Wonder?
Neither: both take 1.05M tokens.
How many benchmarks is the Muse Ember vs Muse Wonder comparison based on?
14 benchmarks have a result for both models as of November 14, 2026. Muse Ember's coding index rests on 3 independent benchmarks and Muse Wonder's on 3. Where only one model has a result, the page says so instead of naming a winner.