Compare / Gemini 3.5 Flash-Lite vs Muse Wonder
Gemini 3.5 Flash-Lite vs Muse Wonder
Which is cheaper, which is more capable, and which does better at each kind of work, from 84 results on 5 sources that measured both models.
GoogleGemini 3.5 Flash-Lite
MetaMuse Wonder
Gemini 3.5 Flash-Lite wins 1410 too close to callMuse Wonder wins 60
Of the 84 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). See also Google vs Meta, every model from both labs.
Gemini 3.5 Flash-Lite or Muse Wonder? The short answer
Pick Muse Wonder if quality matters most: it scores higher (Spring Prompt overall 70 against 26). Pick Gemini 3.5 Flash-Lite if cost matters more: it costs 18 times less per product listing on CatalogBench.
- Spring Prompt overall: Gemini 3.5 Flash-Lite 26, Muse Wonder 70 (out of 100; how the score works).
- Gemini 3.5 Flash-Lite is cheaper to run: $0.002 against $0.036 per product listing on CatalogBench (18 times less).
- Muse Wonder is newer: released 12 Oct 2026, against 21 Jul 2026 for Gemini 3.5 Flash-Lite.
- On our own benchmarks, on the results both models have: Muse Wonder does better for product listings, decks from an analysis, user surveys and marketing planning.
Head to head
26
Spring Prompt overall
70
$0.85
Price per million tokens, blendedlower is better
$8.00
1,048,576
Context window, tokens
1,048,576
Every fact side by side
| Gemini 3.5 Flash-Lite | Muse Wonder | |
|---|---|---|
| Price per million tokens | $0.30 in · $2.50 out | $4.00 in · $20.00 out |
| Blended (3 in : 1 out) | $0.85 | $8.00 |
| Cheapest host, blended | $0.85 (Google) | – |
| Cost per product listing (CatalogBench) | $0.002 | $0.036 |
| Cached input, per million | $0.030 cached input | $0.20 cached input |
| Intelligence Index | 22.2 | – |
| Spring Prompt overall | 26 | 70 |
| Output speed, tokens a second | 335 | – |
| Context window | 1,048,576 tokens | 1,048,576 tokens |
| Released | 21 Jul 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.
Product listingsTurning a sparse product feed and photos into listings that can go live
17 of 21
4 of 21
Decks from an analysisTurning a finished analysis into a deck you could present as it is
18 of 20
8 of 20
User surveysPlanning a user survey and reading its results without being misled
7 of 9
2 of 9
Marketing planningPlanning a year of ad spend without overspending
16 of 20
10 of 20
Agents and tool useMulti-step tasks with tools: support desks, coding agents, function calls
73 of 164
not measured
Professional workReal tasks from banking, consulting and law, business documents and freelance projects
46 of 51
not measured
Reasoning and knowledgeHard questions across science, maths and general knowledge
91 of 198
not measured
WritingWhat people prefer in blind comparisons, and judged writing quality
49 of 188
not measured
Sticking to the factsSummarising without inventing things, and factual answers
62 of 152
not measured
Speed under pressureGood decisions against a real clock (fast chess)
2 of 24
12 of 24
From our research
- Gemini 3.6 Flash Wins the Minute. Gemini 3.5 Flash-Lite Wins the Second. 24 Jul 2026
- AI Checkpoint: Sol’s new fast lane 9 Oct 2026
- We Raced AI Models to Find One Small Thing in a Huge Picture. Cutting It Up More Than Doubled What They Found. 8 Oct 2026
- Claude Opus 5.5 vs Muse Wonder Full: Eight Crafts, and Opus Still Wins Most 13 Oct 2026
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 | Gemini 3.5 Flash-Lite | Muse Wonder |
|---|---|---|
| BulletBench measured by Spring Prompt · 3 results | ||
| Cost per game · Blitz 3+2US dollars, lower is better 3 · 12 of 14 measured | $0.0087 | $0.27 |
| Cost per game · Bullet 60sUS dollars, lower is better 13 · 28 of 29 measured | $0.0058 | $0.0663minimal reasoning |
| Ladder Elo · Bullet 60sladder Elo, higher is better 5 · 19 of 29 measured | 780 | 409minimal reasoning |
| CatalogBench measured by Spring Prompt · 3 results | ||
| Cost per productUS dollars, lower is better 3 · 17 of 21 measured | $0.0020 | $0.0361 |
| Reliably publish-ready% of products, higher is better 17 · 3 of 21 measured | 17.9% | 66.1% |
| Reliably publish-ready · sales brief% of products, higher is better 15 · 4 of 21 measured | 3.6% | 51.8% |
| DeckBench measured by Spring Prompt · 3 results | ||
| Cost per deckUS dollars, lower is better 3 · 14 of 20 measured | $0.0126 | $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. 18 · 8 of 20 measured | 688 | 1,273 |
| Accurate decks% of tasks, higher is better 17 · 1 of 20 measured | 0.0% | 100.0% |
| ROASBench measured by Spring Prompt · 3 results | ||
| Overall scorescore out of 100, higher is better 16 · 10 of 20 measured | 25.4 | 38.9 |
| Audience scorescore out of 100, higher is better 16 · 12 of 20 measured | 45.0 | 54.7 |
| Business scorescore out of 100, higher is better 18 · 10 of 20 measured | 12.6 | 34.5 |
| SurveyBench measured by Spring Prompt · 3 results | ||
| Analysis ratingrating, higher is betterThe rating weighs each win by how strong the other analysis was; the win rate counts wins against whichever analyses a model happened to meet, so the two can disagree. 7 · 2 of 9 measured | 632 | 1,460 |
| Cost per taskUS dollars, lower is better 1 · 8 of 9 measured | $0.0144 | $0.35 |
| Analysis scorepoints of 100, higher is better 9 · 2 of 9 measured | 56.7 | 96.2 |
Show all 84 results (69 more)
| Measure | Gemini 3.5 Flash-Lite | Muse Wonder |
|---|---|---|
| BulletBench measured by Spring Prompt · 7 results | ||
| Games lost on time · Blitz 3+2% of games, lower is better 1 · 14 of 14 measured | 0.0% | 75.0% |
| Games lost on time · Bullet 60s% of games, lower is better 1 · 23 of 29 measured | 0.0% | 58.3%minimal reasoning |
| Invalid moves · Blitz 3+2% of moves, lower is better 12 · 1 of 14 measured | 0.5% | 0.0% |
| Invalid moves · Bullet 60s% of moves, lower is better 1 · 1 of 29 measured | 0.0% | 0.0%minimal reasoning |
| Ladder Elo · Blitz 3+2ladder Elo, higher is better 4 · 13 of 14 measured | 707 | 358 |
| Median move time · Blitz 3+2milliseconds, lower is better 2 · 12 of 14 measured | 0.8 s | 7.1 s |
| Median move time · Bullet 60smilliseconds, lower is better 14 · 25 of 29 measured | 0.9 s | 1.9 sminimal reasoning |
| CatalogBench measured by Spring Prompt · 27 results | ||
| Channel compliance% of products, higher is better 21 · 14 of 21 measured | 98.2% | 99.4% |
| Channel rules broken% of products, lower is better 19 · 11 of 21 measured | 1.8% | 0.6% |
| Channel rules broken · sales brief% of products, lower is better 16 · 1 of 21 measured | 1.2% | 0.0% |
| Claims to check% of products, lower is better 18 · 1 of 21 measured | 1.8% | 0.0% |
| Claims to check · sales brief% of products, lower is better 17 · 1 of 21 measured | 7.7% | 0.0% |
| Conflicts caught% of conflicts, higher is better 21 · 1 of 21 measured | 84.9% | 100.0% |
| Content quality% of checks, higher is better 17 · 3 of 21 measured | 95.5% | 98.3% |
| Content quality · sales brief% of checks, higher is better 17 · 3 of 21 measured | 94.8% | 98.5% |
| Decision accuracy% of decisions, higher is better 16 · 3 of 21 measured | 93.4% | 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 15 · 1 of 21 measured | 92.5% | 96.1% |
| Invented values% of filled values, lower is better 8 · 11 of 21 measured | 0.8% | 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 21 · 4 of 21 measured | 20.2% | 3.6% |
| Not findable · sales brief% of products, lower is better 21 · 8 of 21 measured | 21.4% | 3.6% |
| Publish-ready listings% of products, higher is better 18 · 3 of 21 measured | 35.1% | 75.0% |
| Publish-ready listings · sales brief% of products, higher is better 17 · 5 of 21 measured | 10.7% | 67.3% |
| Unsupported claimsclaims per product, lower is better 16 · 4 of 21 measured | 1.18 | 0.21 |
| Unsupported claims% of products, lower is better 15 · 4 of 21 measured | 33.3% | 7.1% |
| Unsupported claims · sales brief% of products, lower is better 15 · 5 of 21 measured | 78.6% | 17.9% |
| Unsupported claims · sales briefclaims per product, lower is better 15 · 5 of 21 measured | 3.44 | 0.36 |
| Wrong attributes% of products, lower is better 20 · 2 of 21 measured | 34.5% | 13.1% |
| Wrong attributes · sales brief% of products, lower is better 19 · 4 of 21 measured | 35.1% | 14.3% |
| Wrong category or variant% of products, lower is better 20 · 10 of 21 measured | 9.5% | 2.4% |
| Wrong category or variant · sales brief% of products, lower is better 20 · 10 of 21 measured | 10.7% | 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 13 · 18 of 20 measured | 33.3% | 16.7% |
| Design quality% of the maximum, higher is better 14 · 9 of 20 measured | 60.2% | 67.1% |
| Draft figure quoted% of tasks, lower is better 17 · 1 of 20 measured | 50.0% | 0.0% |
| Findings missing% of tasks, lower is better 20 · 1 of 20 measured | 33.3% | 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. 16 · 10 of 20 measured | 35.5% | 63.2% |
| Layout defects% of tasks, lower is better 13 · 18 of 20 measured | 66.7% | 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 19 · 1 of 20 measured | 83.3% | 0.0% |
| Slides needing work% of tasks, lower is better 2 · 15 of 20 measured | 16.7% | 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 13 · 12 of 20 measured | 21.8 | 25.9 |
| Contribution profitsimulated US dollars, higher is better 17 · 11 of 20 measured | $11,834 | $489,176 |
| Cost of a runUS dollars, lower is better 4 · 15 of 20 measured | $0.0390 | $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 6 · 4 of 20 measured | 54.9 | 55.0 |
| Return on ad spendprofit per $1 spent, higher is better 17 · 11 of 20 measured | $0.01 | $0.41 |
| SurveyBench measured by Spring Prompt · 16 results | ||
| Head-to-head win rate% of comparisons, higher is betterThe rating weighs each win by how strong the other analysis was; the win rate counts wins against whichever analyses a model happened to meet, so the two can disagree. 7 · 3 of 9 measured | 28.3% | 67.9% |
| Leading or double-barrelled questions% of tasks, lower is better 9 · 5 of 9 measured | 77.8% | 44.4% |
| Mistaken next steps% of tasks, lower is better 6 · 1 of 9 measured | 44.4% | 0.0% |
| Numbers right% of answers, higher is better 7 · 1 of 9 measured | 75.5% | 100.0% |
| Objectives unanswerable% of tasks, lower is better 9 · 5 of 9 measured | 33.3% | 11.1% |
| Precision ignored% of tasks, lower is better 7 · 4 of 9 measured | 100.0% | 22.2% |
| Research scorepoints of 100, higher is better 9 · 3 of 9 measured | 55.6 | 93.6 |
| Sound research% of tasks, higher is better 5 · 3 of 9 measured | 0.0% | 33.3% |
| Stakeholder's view presumed% of tasks, lower is better 9 · 4 of 9 measured | 55.6% | 11.1% |
| Survey plan scorepoints of 100, higher is better 9 · 5 of 9 measured | 53.1 | 87.8 |
| Survey structure% of tasks, lower is better 9 · 8 of 9 measured | 55.6% | 33.3% |
| Traps handled% of traps, higher is better 9 · 1 of 9 measured | 56.5% | 100.0% |
| Traps missed% of tasks, lower is better 7 · 1 of 9 measured | 100.0% | 0.0% |
| Unsupported findings% of tasks, lower is better 4 · 2 of 9 measured | 66.7% | 11.1% |
| Wrong numbers% of tasks, lower is better 7 · 1 of 9 measured | 100.0% | 0.0% |
| Wrong recommendation% of tasks, lower is better 5 · 1 of 9 measured | 22.2% | 0.0% |
Compare them with other models
- Google vs MetaEvery model from both labs, best against best
- Gemini 3.5 Flash-Lite vs Claude Opus 5.5Most intelligent available today
- 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
- Muse Wonder vs Muse Spark 1.3Meta's best other model
Quick answers
Is Gemini 3.5 Flash-Lite better than Muse Wonder?
Pick Muse Wonder if quality matters most: it scores higher (Spring Prompt overall 70 against 26). Pick Gemini 3.5 Flash-Lite if cost matters more: it costs 18 times less per product listing on CatalogBench.
Which is cheaper, Gemini 3.5 Flash-Lite or Muse Wonder?
Gemini 3.5 Flash-Lite is cheaper to run: $0.002 against $0.036 per product listing on CatalogBench (18 times less).
Which is better for product listings, Gemini 3.5 Flash-Lite 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 17 for Gemini 3.5 Flash-Lite.
Which is better for decks from an analysis, Gemini 3.5 Flash-Lite 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 18 for Gemini 3.5 Flash-Lite.
Which is better for user surveys, Gemini 3.5 Flash-Lite or Muse Wonder?
Muse Wonder ranks 2 of 9 models on sale for planning a user survey and reading its results without being misled, against 7 for Gemini 3.5 Flash-Lite.
Which is better for marketing planning, Gemini 3.5 Flash-Lite or Muse Wonder?
Muse Wonder ranks 10 of 20 models on sale for planning a year of ad spend without overspending, against 16 for Gemini 3.5 Flash-Lite.
Which is better for speed under pressure, Gemini 3.5 Flash-Lite or Muse Wonder?
Gemini 3.5 Flash-Lite ranks 2 of 24 models on sale for good decisions against a real clock (fast chess), against 12 for Muse Wonder.
Run Gemini 3.5 Flash-Lite 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.