Compare / Qwen3.8-Max (0902) vs Mercury 3

Qwen3.8-Max (0902) vs Mercury 3

Which is cheaper, which is more capable, and which does better at each kind of work, from 26 results on 2 sources that measured both models.

AlibabaQwen3.8-Max (0902) Released 3 Aug 2026 · $2.00 in · $6.00 out
InceptionMercury 3 Released 19 Oct 2026 · $0.20 in · $0.70 out
Qwen3.8-Max (0902) wins 115 too close to callMercury 3 wins 10

Of the 26 results both models have, the better value on each. Results whose reported ranges overlap are too close to call.

Results as of 20 October 2026 (catalogue release 2026-10-20-96eb40c3ec63).

Qwen3.8-Max (0902) or Mercury 3? The short answer

Pick Qwen3.8-Max (0902) if quality matters most: it scores higher (Spring Prompt overall 46 against 39). Pick Mercury 3 if cost matters more: it costs 13 times less per deck on DeckBench.

  • Spring Prompt overall: Qwen3.8-Max (0902) 46, Mercury 3 39 (out of 100; how the score works).
  • Mercury 3 is cheaper to run: $0.012 against $0.15 per deck on DeckBench (13 times less).
  • Mercury 3 is newer: released 19 Oct 2026, against 3 Aug 2026 for Qwen3.8-Max (0902).
  • On our own benchmarks, on the results both models have: Qwen3.8-Max (0902) does better for decks from an analysis; Mercury 3 for marketing planning.

Head to head

46
Spring Prompt overall
39
$3.00
Price per million tokens, blendedlower is better
$0.33
1,000,000
Context window, tokens
1,000,000

Every fact side by side

Qwen3.8-Max (0902)Mercury 3
Price per million tokens$2.00 in · $6.00 out$0.20 in · $0.70 out
Blended (3 in : 1 out)$3.00$0.33
Cheapest host, blended––
Cost per deck (DeckBench)$0.15$0.012
Cached input, per million–$0.020 cached input
Intelligence Index45.4–
Spring Prompt overall4639
Output speed, tokens a second37–
Context window1,000,000 tokens1,000,000 tokens
Released3 Aug 202619 Oct 2026 (newer)
WeightsClosedClosed
Developer based inChinathe 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 20 of 24 not measured
Decks from an analysisTurning a finished analysis into a deck you could present as it is 13 of 24 18 of 24
User surveysPlanning a user survey and reading its results without being misled not measured 9 of 13
Marketing planningPlanning a year of ad spend without overspending 19 of 24 18 of 24
Agents and tool useMulti-step tasks with tools: support desks, coding agents, function calls 9 of 168 not measured
Professional workReal tasks from banking, consulting and law, business documents and freelance projects 18 of 51 not measured
Reasoning and knowledgeHard questions across science, maths and general knowledge 19 of 202 not measured
WritingWhat people prefer in blind comparisons, and judged writing quality 17 of 189 not measured
Sticking to the factsSummarising without inventing things, and factual answers 39 of 153 not measured
Speed under pressureGood decisions against a real clock (fast chess) 28 of 28 10 of 27

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.

MeasureQwen3.8-Max (0902)Mercury 3
DeckBench measured by Spring Prompt · 3 results
Cost per deckUS dollars, lower is better 15 · 4 of 24 measured $0.15 $0.0116
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 · 18 of 24 measured 1,100 812
Accurate decks% of tasks, higher is better 9 · 20 of 24 measured 50.0% 0.0%
ROASBench measured by Spring Prompt · 3 results
Overall scorescore out of 100, higher is better 19 · 18 of 24 measured 25.4 26.1
Audience scorescore out of 100, higher is better 22 · 21 of 24 measured 39.7 43.2
Business scorescore out of 100, higher is better 19 · 18 of 24 measured 15.6 17.6
Show all 26 results (20 more)
MeasureQwen3.8-Max (0902)Mercury 3
DeckBench measured by Spring Prompt · 14 results
Caveat dropped% of tasks, lower is better 12 · 12 of 24 measured 16.7% 16.7%
Clean layout% of tasks, higher is better 6 · 6 of 24 measured 66.7% 66.7%
Design quality% of the maximum, higher is better 11 · 16 of 24 measured 67.0% 58.5%
Draft figure quoted% of tasks, lower is better 12 · 12 of 24 measured 33.3% 33.3%
Findings missing% of tasks, lower is better 1 · 17 of 24 measured 0.0% 16.7%
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. 12 · 16 of 24 measured 63.5% 44.0%
Layout defects% of tasks, lower is better 6 · 6 of 24 measured 33.3% 33.3%
Misleading metric used% of tasks, lower is better 1 · 22 of 24 measured 0.0% 16.7%
Presentable decks% of tasks, higher is better 5 · 12 of 24 measured 33.3% 0.0%
Recommendation late or wrong% of tasks, lower is better 1 · 22 of 24 measured 0.0% 83.3%
Slides needing work% of tasks, lower is better 11 · 7 of 24 measured 50.0% 33.3%
Time per deckseconds, lower is better 24 · 9 of 24 measured 543 83.3
Unsupported claims% of tasks, lower is better 11 · 11 of 24 measured 16.7% 16.7%
Unsupported numbers% of tasks, lower is better 1 · 20 of 24 measured 0.0% 16.7%
ROASBench measured by Spring Prompt · 6 results
Consistency scorescore out of 100, higher is better 16 · 19 of 24 measured 19.3 15.1
Contribution profitsimulated US dollars, higher is better 19 · 18 of 24 measured $99,775 $104,868
Cost of a runUS dollars, lower is better 20 · 6 of 24 measured $0.73 $0.0533
Months over budgetmonths of 12, lower is better 22 · 1 of 24 measured 2 0
Planning scorescore out of 100, higher is better 11 · 23 of 24 measured 54.8 53.8
Return on ad spendprofit per $1 spent, higher is better 19 · 18 of 24 measured $0.09 $0.10

Quick answers

Is Qwen3.8-Max (0902) better than Mercury 3?

Pick Qwen3.8-Max (0902) if quality matters most: it scores higher (Spring Prompt overall 46 against 39). Pick Mercury 3 if cost matters more: it costs 13 times less per deck on DeckBench.

Which is cheaper, Qwen3.8-Max (0902) or Mercury 3?

Mercury 3 is cheaper to run: $0.012 against $0.15 per deck on DeckBench (13 times less).

Which is better for decks from an analysis, Qwen3.8-Max (0902) or Mercury 3?

Qwen3.8-Max (0902) ranks 13 of 24 models on sale for turning a finished analysis into a deck you could present as it is, against 18 for Mercury 3.

Which is better for marketing planning, Qwen3.8-Max (0902) or Mercury 3?

Mercury 3 ranks 18 of 24 models on sale for planning a year of ad spend without overspending, against 19 for Qwen3.8-Max (0902).

Which is better for speed under pressure, Qwen3.8-Max (0902) or Mercury 3?

Mercury 3 ranks 10 of 28 models on sale for good decisions against a real clock (fast chess), against 28 for Qwen3.8-Max (0902).

Run Qwen3.8-Max (0902) and Mercury 3 on your own prompt

Benchmarks aren't your data. Try both side by side in the playground, with the cost of every answer.