Compare / Gemini 4 Argon vs Muse Spark 1.3
Gemini 4 Argon vs Muse Spark 1.3
Which is cheaper, which is more capable, and which does better at each kind of work, from 78 results on 6 sources that measured both models.
GoogleGemini 4 Argon
MetaMuse Spark 1.3
Gemini 4 Argon wins 4621 too close to callMuse Spark 1.3 wins 11
Of the 78 results both models have, the better value on each. Results whose reported ranges overlap are too close to call.
Results as of 14 October 2026 (catalogue release 2026-10-14-7d7cf32c3f6d). See also Google vs Meta, every model from both labs.
Gemini 4 Argon or Muse Spark 1.3? The short answer
Pick Gemini 4 Argon: it scores higher (Spring Prompt overall 75 against 62) and costs less.
- Spring Prompt overall: Gemini 4 Argon 75, Muse Spark 1.3 62 (out of 100; how the score works).
- Gemini 4 Argon is cheaper to run: $0.011 against $0.016 per product listing on CatalogBench (33% less).
- Gemini 4 Argon scores higher on the Artificial Analysis Intelligence Index: 52.6 against 48.1.
- Gemini 4 Argon is newer: released 13 Oct 2026, against 2 Sep 2026 for Muse Spark 1.3.
- On our own benchmarks, on the results both models have: Gemini 4 Argon does better for product listings, decks from an analysis and marketing planning.
- On third-party benchmarks, on the results both models have: Gemini 4 Argon does better for agents and tool use, reasoning and knowledge, writing and sticking to the facts.
Head to head
75
Spring Prompt overall
62
52.6
Intelligence Index
48.1
$4.00
Price per million tokens, blendedlower is better
$2.00
1,048,576
Context window, tokens
1,048,576
Every fact side by side
| Gemini 4 Argon | Muse Spark 1.3 | |
|---|---|---|
| Price per million tokens | $2.00 in · $10.00 out | $1.25 in · $4.25 out |
| Blended (3 in : 1 out) | $4.00 | $2.00 |
| Cheapest host, blended | – | – |
| Cost per product listing (CatalogBench) | $0.011 | $0.016 |
| Cached input, per million | – | $0.15 cached input |
| Intelligence Index | 52.6 | 48.1 |
| Spring Prompt overall | 75 | 62 |
| Output speed, tokens a second | – | 206 |
| Context window | 1,048,576 tokens | 1,048,576 tokens |
| Released | 13 Oct 2026 (newer) | 2 Sep 2026 |
| 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
7 of 22
11 of 22
Decks from an analysisTurning a finished analysis into a deck you could present as it is
13 of 21
14 of 21
User surveysPlanning a user survey and reading its results without being misled
5 of 10
not measured
Marketing planningPlanning a year of ad spend without overspending
8 of 21
14 of 21
Agents and tool useMulti-step tasks with tools: support desks, coding agents, function calls
3 of 166
11 of 166
Professional workReal tasks from banking, consulting and law, business documents and freelance projects
not measured
8 of 51
Reasoning and knowledgeHard questions across science, maths and general knowledge
3 of 200
10 of 200
WritingWhat people prefer in blind comparisons, and judged writing quality
1 of 189
7 of 189
Sticking to the factsSummarising without inventing things, and factual answers
1 of 153
12 of 153
Speed under pressureGood decisions against a real clock (fast chess)
20 of 25
23 of 25
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 | Gemini 4 Argon | Muse Spark 1.3 |
|---|---|---|
| BulletBench measured by Spring Prompt · 3 results | ||
| Cost per game · Bullet 60sUS dollars, lower is better 10 · 18 of 30 measured | $0.0036 | $0.0142minimal reasoning |
| Ladder Elo · Bullet 60sladder Elo, higher is better 26 · 27 of 30 measured | 147 | 33minimal reasoning |
| Games lost on time · Bullet 60s% of games, lower is better 28 · 29 of 30 measured | 87.5% | 91.7%minimal reasoning |
| CatalogBench measured by Spring Prompt · 3 results | ||
| Cost per productUS dollars, lower is better 12 · 13 of 22 measured | $0.0109 | $0.0164 |
| Reliably publish-ready% of products, higher is better 5 · 9 of 22 measured | 60.7% | 48.2% |
| Reliably publish-ready · sales brief% of products, higher is better 9 · 11 of 22 measured | 17.9% | 10.7% |
| DeckBench measured by Spring Prompt · 3 results | ||
| Cost per deckUS dollars, lower is better 10 · 7 of 21 measured | $0.11 | $0.0463 |
| 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 · 14 of 21 measured | 998 | 852 |
| Accurate decks% of tasks, higher is better 13 · 15 of 21 measured | 33.3% | 16.7% |
| ROASBench measured by Spring Prompt · 3 results | ||
| Overall scorescore out of 100, higher is better 8 · 14 of 21 measured | 47.0 | 34.1 |
| Audience scorescore out of 100, higher is better 8 · 14 of 21 measured | 65.5 | 51.6 |
| Business scorescore out of 100, higher is better 8 · 14 of 21 measured | 43.3 | 25.8 |
| Arena (formerly LMArena) reported by Arena (formerly LMArena) · 3 results | ||
| Overall · TextArena rating, higher is better 1 · 8 of 387 measured | 1,525high reasoning | 1,494max reasoning |
| Overall · Text factualityArena rating, higher is better 1 · 13 of 163 measured | 1,511high reasoning | 1,480max reasoning |
| Business, management and finance · TextArena rating, higher is better 1 · 4 of 380 measured | 1,522high reasoning | 1,505max reasoning |
| Artificial Analysis reported by Artificial Analysis · 3 results | ||
| Artificial Analysis Intelligence Indexindex score, higher is better 5 · 10 of 244 measured | 52.6high reasoning | 48.1max reasoning |
| Humanity's Last Exam% of questions, higher is better 3 · 12 of 243 measured | 57.1%high reasoning | 48.7%max reasoning |
| Terminal-Bench 4.0% of tasks, higher is better 4 · 16 of 113 measured | 57.1%high reasoning | 33.3%max reasoning |
Show all 78 results (60 more)
| Measure | Gemini 4 Argon | Muse Spark 1.3 |
|---|---|---|
| BulletBench measured by Spring Prompt · 2 results | ||
| Invalid moves · Bullet 60s% of moves, lower is better 1 · 1 of 30 measured | 0.0% | 0.0%minimal reasoning |
| Median move time · Bullet 60smilliseconds, lower is better 28 · 30 of 30 measured | 2.9 s | 4.2 sminimal reasoning |
| CatalogBench measured by Spring Prompt · 28 results | ||
| Channel compliance% of products, higher is better 1 · 1 of 22 measured | 100.0% | 100.0% |
| Channel rules broken% of products, lower is better 1 · 1 of 22 measured | 0.0% | 0.0% |
| Channel rules broken · sales brief% of products, lower is better 1 · 1 of 22 measured | 0.0% | 0.0% |
| Claims to check% of products, lower is better 1 · 1 of 22 measured | 0.0% | 0.0% |
| Claims to check · sales brief% of products, lower is better 1 · 1 of 22 measured | 0.0% | 0.0% |
| Conflicts caught% of conflicts, higher is better 1 · 1 of 22 measured | 100.0% | 100.0% |
| Content quality% of checks, higher is better 4 · 8 of 22 measured | 98.2% | 97.7% |
| Content quality · sales brief% of checks, higher is better 4 · 6 of 22 measured | 98.4% | 98.2% |
| Decision accuracy% of decisions, higher is better 5 · 7 of 22 measured | 97.8% | 97.6% |
| Failed outputs% of products, lower is better 1 · 1 of 22 measured | 0.0% | 0.0% |
| Failed outputs · sales brief% of products, lower is better 1 · 1 of 22 measured | 0.0% | 0.0% |
| Field accuracy% of missing fields, higher is better 3 · 13 of 22 measured | 94.7% | 92.9% |
| Invented values% of filled values, lower is better 14 · 5 of 22 measured | 1.7% | 0.7% |
| Missing UK information% of products, lower is better 1 · 1 of 22 measured | 0.0% | 0.0% |
| Missing UK information · sales brief% of products, lower is better 1 · 1 of 22 measured | 0.0% | 0.0% |
| Not findable% of products, lower is better 3 · 13 of 22 measured | 2.4% | 6.0% |
| Not findable · sales brief% of products, lower is better 2 · 12 of 22 measured | 1.8% | 5.4% |
| Publish-ready listings% of products, higher is better 5 · 9 of 22 measured | 70.8% | 65.5% |
| Publish-ready listings · sales brief% of products, higher is better 8 · 9 of 22 measured | 35.1% | 34.5% |
| Time per productseconds, lower is better 3 · 19 of 22 measured | 7.30 | 47.5 |
| Unsupported claimsclaims per product, lower is better 6 · 7 of 22 measured | 0.42 | 0.44 |
| Unsupported claims% of products, lower is better 9 · 8 of 22 measured | 16.1% | 14.9% |
| Unsupported claims · sales briefclaims per product, lower is better 12 · 9 of 22 measured | 1.98 | 1.50 |
| Unsupported claims · sales brief% of products, lower is better 12 · 9 of 22 measured | 63.1% | 57.7% |
| Wrong attributes% of products, lower is better 6 · 10 of 22 measured | 15.5% | 16.7% |
| Wrong attributes · sales brief% of products, lower is better 7 · 4 of 22 measured | 15.5% | 14.3% |
| Wrong category or variant% of products, lower is better 4 · 19 of 22 measured | 1.8% | 4.2% |
| Wrong category or variant · sales brief% of products, lower is better 4 · 18 of 22 measured | 1.8% | 3.6% |
| DeckBench measured by Spring Prompt · 14 results | ||
| Caveat dropped% of tasks, lower is better 1 · 12 of 21 measured | 0.0% | 16.7% |
| Clean layout% of tasks, higher is better 13 · 21 of 21 measured | 33.3% | 0.0% |
| Design quality% of the maximum, higher is better 16 · 15 of 21 measured | 55.2% | 56.1% |
| Draft figure quoted% of tasks, lower is better 17 · 9 of 21 measured | 50.0% | 16.7% |
| Findings missing% of tasks, lower is better 1 · 1 of 21 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 · 14 of 21 measured | 57.0% | 42.1% |
| Layout defects% of tasks, lower is better 13 · 21 of 21 measured | 66.7% | 100.0% |
| Misleading metric used% of tasks, lower is better 1 · 1 of 21 measured | 0.0% | 0.0% |
| Presentable decks% of tasks, higher is better 12 · 12 of 21 measured | 0.0% | 0.0% |
| Recommendation late or wrong% of tasks, lower is better 1 · 18 of 21 measured | 0.0% | 66.7% |
| Slides needing work% of tasks, lower is better 15 · 10 of 21 measured | 66.7% | 50.0% |
| Time per deckseconds, lower is better 6 · 9 of 21 measured | 67.5 | 89.4 |
| Unsupported claims% of tasks, lower is better 11 · 11 of 21 measured | 16.7% | 16.7% |
| Unsupported numbers% of tasks, lower is better 1 · 1 of 21 measured | 0.0% | 0.0% |
| ROASBench measured by Spring Prompt · 6 results | ||
| Consistency scorescore out of 100, higher is better 5 · 12 of 21 measured | 34.7 | 26.7 |
| Contribution profitsimulated US dollars, higher is better 5 · 13 of 21 measured | $673,561 | $337,251 |
| Cost of a runUS dollars, lower is better 11 · 9 of 21 measured | $0.24 | $0.18 |
| Months over budgetmonths of 12, lower is better 1 · 1 of 21 measured | 0 | 0 |
| Planning scorescore out of 100, higher is better 1 · 9 of 21 measured | 55.4 | 54.8 |
| Return on ad spendprofit per $1 spent, higher is better 8 · 13 of 21 measured | $0.55 | $0.29 |
| Arena (formerly LMArena) reported by Arena (formerly LMArena) · 8 results | ||
| Confirmed task success · AgentIPS effect estimate, higher is better 3 · 18 of 48 measured | 0.15high reasoning, arena agent | 0.05max reasoning, arena agent |
| Creative writing · TextArena rating, higher is better 1 · 22 of 385 measured | 1,519high reasoning | 1,459max reasoning |
| Expert prompts · TextArena rating, higher is better 7 · 12 of 338 measured | 1,539high reasoning | 1,529max reasoning |
| Instruction following · TextArena rating, higher is better 1 · 13 of 387 measured | 1,528high reasoning | 1,486max reasoning |
| Praise over complaint · AgentIPS effect estimate, higher is better 4 · 21 of 48 measured | 0.28high reasoning, arena agent | 0.03max reasoning, arena agent |
| Steerability · AgentIPS effect estimate, higher is better 1 · 12 of 48 measured | 0.13high reasoning, arena agent | 0.05max reasoning, arena agent |
| Tool grounding · AgentIPS effect estimate, higher is better 29 · 14 of 48 measured | 0.00high reasoning, arena agent | 0.00max reasoning, arena agent |
| Writing, literature and language · TextArena rating, higher is better 1 · 19 of 386 measured | 1,522high reasoning | 1,470max reasoning |
| Artificial Analysis reported by Artificial Analysis · 2 results | ||
| Long-context reasoning (AA-LCR)% of questions, higher is better 44 · 15 of 234 measured | 79.7%high reasoning | 83.0%max reasoning |
| SciCode% of problems, higher is better 3 · 9 of 114 measured | 61.8%high reasoning | 59.7%xhigh reasoning |
Compare them with other models
- Google vs MetaEvery model from both labs, best against best
- Gemini 4 Argon vs Claude Opus 5.5Most intelligent at $3–10 per million tokens
- Gemini 4 Argon vs Claude Sonnet 5.5Cheapest with similar intelligence
- Gemini 4 Argon vs GPT-6 AstraJust above overall
- Gemini 4 Argon vs Muse WonderJust below overall
- Muse Spark 1.3 vs Claude Opus 5.5Most intelligent available today
- Muse Spark 1.3 vs Claude Sonnet 5.5Just above overall
- Muse Spark 1.3 vs Gemini 3.8 FlashJust below overall
Quick answers
Is Gemini 4 Argon better than Muse Spark 1.3?
Pick Gemini 4 Argon: it scores higher (Spring Prompt overall 75 against 62) and costs less.
Which is cheaper, Gemini 4 Argon or Muse Spark 1.3?
Gemini 4 Argon is cheaper to run: $0.011 against $0.016 per product listing on CatalogBench (33% less).
Which is better for product listings, Gemini 4 Argon or Muse Spark 1.3?
Gemini 4 Argon ranks 7 of 22 models on sale for turning a sparse product feed and photos into listings that can go live, against 11 for Muse Spark 1.3.
Which is better for decks from an analysis, Gemini 4 Argon or Muse Spark 1.3?
Gemini 4 Argon ranks 13 of 21 models on sale for turning a finished analysis into a deck you could present as it is, against 14 for Muse Spark 1.3.
Which is better for marketing planning, Gemini 4 Argon or Muse Spark 1.3?
Gemini 4 Argon ranks 8 of 21 models on sale for planning a year of ad spend without overspending, against 14 for Muse Spark 1.3.
Which is better for agents and tool use, Gemini 4 Argon or Muse Spark 1.3?
Gemini 4 Argon ranks 3 of 166 models on sale for multi-step tasks with tools: support desks, coding agents, function calls, against 11 for Muse Spark 1.3.
Which is better for reasoning and knowledge, Gemini 4 Argon or Muse Spark 1.3?
Gemini 4 Argon ranks 3 of 200 models on sale for hard questions across science, maths and general knowledge, against 10 for Muse Spark 1.3.
Run Gemini 4 Argon and Muse Spark 1.3 on your own prompt
Benchmarks aren't your data. Try both side by side in the playground, with the cost of every answer.