Muse Spark Open vs Muse Wonder
Muse Wonder leads Muse Spark Open on coding, 71.9 to 47.4 on the Vibe Coding Index, and Muse Spark Open costs 4.7x less per output token ($4.25 vs $20.00 per million). Updated October 22, 2026; 18 benchmarks have a result for both.
Muse Spark Open or Muse Wonder: which to pick
Pick Muse Wonder for coding: it scores 71.9 on the Vibe Coding Index against 47.4 for Muse Spark Open, though on 3 benchmarks against 4.
Pick Muse Spark Open for output tokens 4.7x cheaper ($4.25 vs $20.00 per million) and work measured by Finance Agent (Vals AI) or Harvey's Legal Agent Benchmark (Vals AI), where it leads.
- Shared results
- 18
- Muse Spark Open only
- 10
- Muse Wonder only
- 42
- Like-for-like categories
- 6 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 47.4.
4 and 3 benchmarks behind the scores
Web design
Design Arena: websites
Muse Wonder
Muse Wonder leads, 1362 against 1310.
Same board, both measured
General
Vals Index
Muse Wonder
Muse Wonder leads, 64.9% against 48.6%.
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 Spark Open
Muse Spark Open $0.0034, Muse Wonder $0.014 per turn.
List prices
At a glance
- Coding index
- Muse Spark Open 47.4 from 4 benchmarks, Muse Wonder 71.9 from 3 benchmarks.
- Widest category
- Coding, 22.0 points apart on average over 7 shared benchmarks.
- Widest single gap
- Terminal-Bench 4 (Vals AI): Muse Spark Open 6.6% against Muse Wonder 49.5%, 57.2 points apart on a 0 to 100 scale.
- Output price
- Muse Spark Open $4.25 against Muse Wonder $20.00 per million output tokens, 4.7x 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 Spark Open | Bars | Muse Wonder | Ties |
|---|---|---|---|---|
| Coding | 0 | 7 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 2 | 3 | ||
| Reasoning | 0 | 1 | ||
| Web design | 0 | 2 | ||
| General | 0 | 2 | ||
| All shared boards | 2 | 16 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index07
| Benchmark | Muse Spark Open | Muse Wonder | Leader |
|---|---|---|---|
| LiveBench coding | 73.6% | Not measured | Only Muse Spark Open measured |
| LMArena WebDev | 1528 | 1652 | Muse Wonder |
| Terminal-Bench 4 (Vals AI) | 6.6% | 49.5% | Muse Wonder |
| Vibe Code Bench (Vals AI) | 76.2% | 83.1% | Muse Wonder |
| Code migration (Vals AI) | 21.2% | 62.5% | Muse Wonder |
| 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 | 58.4% | 60.3% | Muse Wonder |
| ALE-Bench | 1590.1 | Not measured | Only Muse Spark Open measured |
| LMArena Text: coding | Not measured | 1522 | Only Muse Wonder measured |
| LMArena Text: software and IT | Not measured | 1515 | Only Muse Wonder measured |
| LMArena WebDev: React | 1529 | 1641 | Muse Wonder |
| LMArena WebDev: HTML | 1495 | 1694 | Muse Wonder |
| Neither model has a result on the other 24 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Muse Spark Open | Muse Wonder | Leader |
|---|---|---|---|
| Epoch Capabilities Index | 155.1 | 161.8 | Muse Wonder |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index23
| Benchmark | Muse Spark Open | Muse Wonder | Leader |
|---|---|---|---|
| Design Arena: spreadsheets | Not measured | 1243 | Only Muse Wonder measured |
| LiveBench research | 80.3% | Not measured | Only Muse Spark Open measured |
| LiveBench browser | 36.0% | Not measured | Only Muse Spark Open measured |
| LiveBench long agentic | 18.9% | Not measured | Only Muse Spark Open measured |
| Finance Agent (Vals AI) | 61.3% | 56.6% | Muse Spark Open |
| Tax Agent Bench (Vals AI) | 26.3% | 36.3% | Muse Wonder |
| Legal Research Bench (Vals AI) | 38.5% | 50.5% | Muse Wonder |
| Harvey's Legal Agent Benchmark (Vals AI) | 25.0% | 23.8% | Muse Spark Open |
| Excel Modeling Benchmark (Vals AI) | 53.7% | 67.1% | Muse Wonder |
| 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 | 33.4% | Not measured | Only Muse Spark Open measured |
| Vending-Bench 2 | Not measured | $9,432 | Only Muse Wonder measured |
| Neither model has a result on the other 26 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Muse Spark Open | Muse Wonder | Leader |
|---|---|---|---|
| LiveBench reasoning | 73.7% | Not measured | Only Muse Spark Open measured |
| MysteryMechanism (Vals AI) | Not measured | 27.5% | Only Muse Wonder measured |
| GPQA Diamond (Artificial Analysis run) | 89.0% | Not measured | Only Muse Spark Open measured |
| Humanity's Last Exam (Artificial Analysis run) | 43.9% | 50.1% | Muse Wonder |
| LMArena Text: hard prompts | Not measured | 1506 | Only Muse Wonder measured |
| LMArena Text: expert | Not measured | 1513 | Only Muse Wonder measured |
| LMArena Text: hard prompts in English | Not measured | 1506 | Only Muse Wonder measured |
| Neither model has a result on the other 15 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | Muse Spark Open | Muse Wonder | Leader |
|---|---|---|---|
| ProofBench | Not measured | 84.0% | Only Muse Wonder measured |
| LMArena Text: math | Not measured | 1486 | Only Muse Wonder measured |
| LMArena Text: mathematical work | Not measured | 1514 | Only Muse Wonder measured |
| Neither model has a result on the other 10 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
| Benchmark | Muse Spark Open | Muse Wonder | Leader |
|---|---|---|---|
| LMArena Text: science | Not measured | 1506 | Only Muse Wonder measured |
| LMArena Text: medicine and healthcare | Not measured | 1512 | Only Muse Wonder measured |
| LMArena Text: legal and government | Not measured | 1505 | Only Muse Wonder measured |
| LMArena Text: business and finance | Not measured | 1483 | Only Muse Wonder measured |
| Neither model has a result on the other 14 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Muse Spark Open | Muse Wonder | Leader |
|---|---|---|---|
| Design Arena: websites | 1310 | 1362 | Muse Wonder |
| Design Arena: UI components | Not measured | 1379 | Only Muse Wonder measured |
| Design Arena: game dev | 1282 | 1376 | Muse Wonder |
| Design Arena: data viz | Not measured | 1317 | Only Muse Wonder measured |
| Design Arena: 3D | Not measured | 1427 | Only Muse Wonder measured |
| Design Arena: all code categories | Not measured | 1371 | Only Muse Wonder measured |
| LiveBench design | 60.3% | Not measured | Only Muse Spark Open measured |
| Neither model has a result on the other 2 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Muse Spark Open | Muse Wonder | Leader |
|---|---|---|---|
| Vals Index | 48.6% | 64.9% | Muse Wonder |
| LiveBench data analysis | 60.2% | Not measured | Only Muse Spark Open measured |
| Public Benefits Bench (Vals AI) | Not measured | 70.2% | Only Muse Wonder measured |
| Long context reasoning (AA-LCR) | 78.3% | 80.7% | Muse Wonder |
| DTBench | Not measured | 95.2% | Only Muse Wonder measured |
| LMCA | Not measured | 56.8% | Only Muse Wonder measured |
| LMArena Text | Not measured | 1502 | Only Muse Wonder measured |
| LMArena Text: instruction following | Not measured | 1491 | Only Muse Wonder measured |
| LMArena Text: creative writing | Not measured | 1491 | Only Muse Wonder measured |
| LMArena Text: English | Not measured | 1507 | Only Muse Wonder measured |
| LMArena Text: non-English | Not measured | 1492 | Only Muse Wonder measured |
| LMArena Text: Chinese | Not measured | 1537 | Only Muse Wonder measured |
| LMArena Text: French | Not measured | 1523 | Only Muse Wonder measured |
| LMArena Text: Russian | Not measured | 1522 | Only Muse Wonder measured |
| LMArena Text: multi-turn | Not measured | 1510 | Only Muse Wonder measured |
| LMArena Text: longer queries | Not measured | 1493 | Only Muse Wonder measured |
| LMArena Text: writing and language | Not measured | 1496 | Only Muse Wonder measured |
| LMArena Text: entertainment and media | Not measured | 1482 | Only Muse Wonder measured |
| Neither model has a result on the other 28 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Muse Spark Open | 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 Spark Open costs less
Repository review
50K input + 3K output tokens
Muse Spark Open costs less
Agent loop
200K input + 10K output tokens
Muse Spark Open 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 Spark Open | Meta Muse Wonder |
|---|---|---|
| Maker | Meta | Meta |
| Weights | Open weights | No public weights listed |
| Released | October 15, 2026 | October 12, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $1.25 | $4.00 |
| Output $/Mtok | $4.25 | $20.00 |
| Coding index | 47.4 | 71.9 |
| Independent measurements behind it | 4 | 3 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Muse Spark Open better than Muse Wonder for coding?
Pick Muse Wonder for coding: it scores 71.9 on the Vibe Coding Index against 47.4 for Muse Spark Open, though on 3 benchmarks against 4. Pick Muse Spark Open for output tokens 4.7x cheaper ($4.25 vs $20.00 per million) and work measured by Finance Agent (Vals AI) or Harvey's Legal Agent Benchmark (Vals AI), where it leads.
Which is cheaper, Muse Spark Open or Muse Wonder?
Muse Spark Open costs $1.25 per million input tokens and $4.25 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 Spark Open or Muse Wonder?
Neither: both take 1.05M tokens.
How many benchmarks is the Muse Spark Open vs Muse Wonder comparison based on?
18 benchmarks have a result for both models as of October 22, 2026. Muse Spark Open's coding index rests on 4 independent benchmarks and Muse Wonder's on 3. Where only one model has a result, the page says so instead of naming a winner.