Compare / Muse Spark 1.3 vs Muse Wonder
Muse Spark 1.3 vs Muse Wonder
Which is cheaper, which is more capable, and which does better at each kind of work, from 60 results on 4 sources that measured both models.
Of the 60 results both models have, the better value on each. Results whose reported ranges overlap are too close to call.
Results as of 13 October 2026 (catalogue release 2026-10-13-2e2420e3c5cc).
Muse Spark 1.3 or Muse Wonder? The short answer
Pick Muse Wonder if quality matters most: it scores higher (Spring Prompt overall 70 against 64). Pick Muse Spark 1.3 if cost matters more: it costs 2.2 times less per product listing on CatalogBench.
- Spring Prompt overall: Muse Spark 1.3 64, Muse Wonder 70 (out of 100; how the score works).
- Muse Spark 1.3 is cheaper to run: $0.016 against $0.036 per product listing on CatalogBench (2.2 times less).
- Muse Wonder is newer: released 12 Oct 2026, against 2 Sep 2026 for Muse Spark 1.3.
- On our own benchmarks, on the results both models have: Muse Wonder does better for product listings, decks from an analysis and marketing planning.
Head to head
Every fact side by side
| Muse Spark 1.3 | Muse Wonder | |
|---|---|---|
| Price per million tokens | $1.25 in · $4.25 out | $4.00 in · $20.00 out |
| Blended (3 in : 1 out) | $2.00 | $8.00 |
| Cheapest host, blended | – | – |
| Cost per product listing (CatalogBench) | $0.016 | $0.036 |
| Cached input, per million | $0.15 cached input | $0.20 cached input |
| Intelligence Index | 48.1 | – |
| Spring Prompt overall | 64 | 70 |
| Output speed, tokens a second | 114 | – |
| Context window | 1,048,576 tokens | 1,048,576 tokens |
| Released | 2 Sep 2026 | 12 Oct 2026 (newer) |
| Weights | Closed | Closed |
| Developer based in | the US | the US |
Prices are the developer's list price where we have read it, otherwise the typical host on OpenRouter; see every model's price. Intelligence and speed from Artificial Analysis.
Which is better for what
Each model's rank among the models on sale today, for each kind of work, from our own benchmarks and licensed sources. Further right is better; the better rank is in green.
Their slides, side by side
The same brief for both: Manchester store investment review for Hearthside Coffee, an invented company. First slide of each deck from DeckBench.
From our research
Every shared result
Each model's best result on every measure both have, grouped by benchmark, with the setting that produced it. Under each measure, every model that benchmark has measured is a grey tick, best to the right, so you can see where the two sit in the field. The headline measures of each benchmark come first; the rest are under "Show all". Green marks the better value; where a source reports ranges that overlap, neither is marked.
| Measure | Muse Spark 1.3 | Muse Wonder |
|---|---|---|
| BulletBench measured by Spring Prompt · 3 results | ||
| Cost per game · Bullet 60sUS dollars, lower is better 17 · 28 of 29 measured | $0.0142minimal reasoning | $0.0663minimal reasoning |
| Ladder Elo · Bullet 60sladder Elo, higher is better 26 · 19 of 29 measured | 33minimal reasoning | 409minimal reasoning |
| Games lost on time · Bullet 60s% of games, lower is better 28 · 23 of 29 measured | 91.7%minimal reasoning | 58.3%minimal reasoning |
| CatalogBench measured by Spring Prompt · 3 results | ||
| Cost per productUS dollars, lower is better 12 · 17 of 21 measured | $0.0164 | $0.0361 |
| Reliably publish-ready% of products, higher is better 8 · 3 of 21 measured | 48.2% | 66.1% |
| Reliably publish-ready · sales brief% of products, higher is better 10 · 4 of 21 measured | 10.7% | 51.8% |
| DeckBench measured by Spring Prompt · 3 results | ||
| Cost per deckUS dollars, lower is better 7 · 14 of 20 measured | $0.0463 | $0.18 |
| Deck ratingrating, higher is betterThe rating weighs each win by how strong the other deck was; the win rate counts wins against whichever decks a model happened to meet, so the two can disagree. 13 · 8 of 20 measured | 879 | 1,273 |
| Accurate decks% of tasks, higher is better 14 · 1 of 20 measured | 16.7% | 100.0% |
| ROASBench measured by Spring Prompt · 3 results | ||
| Overall scorescore out of 100, higher is better 13 · 10 of 20 measured | 34.1 | 38.9 |
| Audience scorescore out of 100, higher is better 13 · 12 of 20 measured | 51.6 | 54.7 |
| Business scorescore out of 100, higher is better 13 · 10 of 20 measured | 25.8 | 34.5 |
Show all 60 results (48 more)
| Measure | Muse Spark 1.3 | Muse Wonder |
|---|---|---|
| BulletBench measured by Spring Prompt · 2 results | ||
| Invalid moves · Bullet 60s% of moves, lower is better 1 · 1 of 29 measured | 0.0%minimal reasoning | 0.0%minimal reasoning |
| Median move time · Bullet 60smilliseconds, lower is better 29 · 25 of 29 measured | 4.2 sminimal reasoning | 1.9 sminimal reasoning |
| CatalogBench measured by Spring Prompt · 27 results | ||
| Channel compliance% of products, higher is better 1 · 14 of 21 measured | 100.0% | 99.4% |
| Channel rules broken% of products, lower is better 1 · 11 of 21 measured | 0.0% | 0.6% |
| Channel rules broken · sales brief% of products, lower is better 1 · 1 of 21 measured | 0.0% | 0.0% |
| Claims to check% of products, lower is better 1 · 1 of 21 measured | 0.0% | 0.0% |
| Claims to check · sales brief% of products, lower is better 1 · 1 of 21 measured | 0.0% | 0.0% |
| Conflicts caught% of conflicts, higher is better 1 · 1 of 21 measured | 100.0% | 100.0% |
| Content quality% of checks, higher is better 7 · 3 of 21 measured | 97.7% | 98.3% |
| Content quality · sales brief% of checks, higher is better 5 · 3 of 21 measured | 98.2% | 98.5% |
| Decision accuracy% of decisions, higher is better 6 · 3 of 21 measured | 97.6% | 98.3% |
| Failed outputs% of products, lower is better 1 · 1 of 21 measured | 0.0% | 0.0% |
| Failed outputs · sales brief% of products, lower is better 1 · 1 of 21 measured | 0.0% | 0.0% |
| Field accuracy% of missing fields, higher is better 12 · 1 of 21 measured | 92.9% | 96.1% |
| Invented values% of filled values, lower is better 5 · 11 of 21 measured | 0.7% | 1.4% |
| Missing UK information% of products, lower is better 1 · 1 of 21 measured | 0.0% | 0.0% |
| Missing UK information · sales brief% of products, lower is better 1 · 1 of 21 measured | 0.0% | 0.0% |
| Not findable% of products, lower is better 12 · 4 of 21 measured | 6.0% | 3.6% |
| Not findable · sales brief% of products, lower is better 11 · 8 of 21 measured | 5.4% | 3.6% |
| Publish-ready listings% of products, higher is better 8 · 3 of 21 measured | 65.5% | 75.0% |
| Publish-ready listings · sales brief% of products, higher is better 8 · 5 of 21 measured | 34.5% | 67.3% |
| Unsupported claimsclaims per product, lower is better 6 · 4 of 21 measured | 0.44 | 0.21 |
| Unsupported claims% of products, lower is better 8 · 4 of 21 measured | 14.9% | 7.1% |
| Unsupported claims · sales briefclaims per product, lower is better 9 · 5 of 21 measured | 1.50 | 0.36 |
| Unsupported claims · sales brief% of products, lower is better 9 · 5 of 21 measured | 57.7% | 17.9% |
| Wrong attributes% of products, lower is better 9 · 2 of 21 measured | 16.7% | 13.1% |
| Wrong attributes · sales brief% of products, lower is better 4 · 4 of 21 measured | 14.3% | 14.3% |
| Wrong category or variant% of products, lower is better 18 · 10 of 21 measured | 4.2% | 2.4% |
| Wrong category or variant · sales brief% of products, lower is better 17 · 10 of 21 measured | 3.6% | 2.4% |
| DeckBench measured by Spring Prompt · 13 results | ||
| Caveat dropped% of tasks, lower is better 11 · 1 of 20 measured | 16.7% | 0.0% |
| Clean layout% of tasks, higher is better 20 · 18 of 20 measured | 0.0% | 16.7% |
| Design quality% of the maximum, higher is better 15 · 9 of 20 measured | 56.1% | 67.1% |
| Draft figure quoted% of tasks, lower is better 9 · 1 of 20 measured | 16.7% | 0.0% |
| Findings missing% of tasks, lower is better 1 · 1 of 20 measured | 0.0% | 0.0% |
| Head-to-head win rate% of comparisons, higher is betterThe rating weighs each win by how strong the other deck was; the win rate counts wins against whichever decks a model happened to meet, so the two can disagree. 13 · 10 of 20 measured | 43.7% | 63.2% |
| Layout defects% of tasks, lower is better 20 · 18 of 20 measured | 100.0% | 83.3% |
| Misleading metric used% of tasks, lower is better 1 · 1 of 20 measured | 0.0% | 0.0% |
| Presentable decks% of tasks, higher is better 12 · 10 of 20 measured | 0.0% | 16.7% |
| Recommendation late or wrong% of tasks, lower is better 17 · 1 of 20 measured | 66.7% | 0.0% |
| Slides needing work% of tasks, lower is better 10 · 15 of 20 measured | 50.0% | 66.7% |
| Unsupported claims% of tasks, lower is better 11 · 1 of 20 measured | 16.7% | 0.0% |
| Unsupported numbers% of tasks, lower is better 1 · 1 of 20 measured | 0.0% | 0.0% |
| ROASBench measured by Spring Prompt · 6 results | ||
| Consistency scorescore out of 100, higher is better 11 · 12 of 20 measured | 26.7 | 25.9 |
| Contribution profitsimulated US dollars, higher is better 12 · 11 of 20 measured | $337,251 | $489,176 |
| Cost of a runUS dollars, lower is better 9 · 15 of 20 measured | $0.18 | $0.57 |
| Months over budgetmonths of 12, lower is better 1 · 1 of 20 measured | 0 | 0 |
| Planning scorescore out of 100, higher is better 8 · 4 of 20 measured | 54.8 | 55.0 |
| Return on ad spendprofit per $1 spent, higher is better 12 · 11 of 20 measured | $0.29 | $0.41 |
Compare them with other models
- Muse Spark 1.3 vs Claude Opus 5.5Most intelligent available today
- Muse Spark 1.3 vs Claude Fable 5.1Just above overall
- Muse Spark 1.3 vs Claude Sonnet 5.5Just below overall
- Muse Wonder vs Claude Opus 5.5Highest-scoring overall at $3–10 per million tokens
- Muse Wonder vs GPT-6 AstraJust above overall
- Muse Wonder vs GPT-6 SolJust below overall
Quick answers
Is Muse Spark 1.3 better than Muse Wonder?
Pick Muse Wonder if quality matters most: it scores higher (Spring Prompt overall 70 against 64). Pick Muse Spark 1.3 if cost matters more: it costs 2.2 times less per product listing on CatalogBench.
Which is cheaper, Muse Spark 1.3 or Muse Wonder?
Muse Spark 1.3 is cheaper to run: $0.016 against $0.036 per product listing on CatalogBench (2.2 times less).
Which is better for product listings, Muse Spark 1.3 or Muse Wonder?
Muse Wonder ranks 4 of 21 models on sale for turning a sparse product feed and photos into listings that can go live, against 10 for Muse Spark 1.3.
Which is better for decks from an analysis, Muse Spark 1.3 or Muse Wonder?
Muse Wonder ranks 8 of 20 models on sale for turning a finished analysis into a deck you could present as it is, against 13 for Muse Spark 1.3.
Which is better for marketing planning, Muse Spark 1.3 or Muse Wonder?
Muse Wonder ranks 10 of 20 models on sale for planning a year of ad spend without overspending, against 13 for Muse Spark 1.3.
Which is better for speed under pressure, Muse Spark 1.3 or Muse Wonder?
Muse Wonder ranks 12 of 24 models on sale for good decisions against a real clock (fast chess), against 21 for Muse Spark 1.3.
Run Muse Spark 1.3 and Muse Wonder on your own prompt
Benchmarks aren't your data. Try both side by side in the playground, with the cost of every answer.

