DeepSeek V3 0324 vs Qwen3.7 Max

Which is better for the money: DeepSeek V3 0324 by DeepSeek or Qwen3.7 Max by Alibaba? Intelligence, total benchmark cost, and end-to-end time from Artificial Analysis & other sources, snapshot 2026-10-24.

Trade-off

DeepSeekDeepSeek V3 0324On the open-weights frontier

Intelligence: 9.70
Total cost: $19.9

AlibabaQwen3.7 MaxOff the frontier

Intelligence: 29.50
Total cost: $2277

Verdict

Depends on your budget

Qwen3.7 Max scores 19.8 points higher (29.5 vs 9.7) but costs 115× as much to run the benchmark ($2277 vs $19.9; flagship vs budget cost classes). They are not alternatives at one budget: pick Qwen3.7 Max when you need intelligence above 9.7, and DeepSeek V3 0324 when 9.7 is enough.

Metric	DeepSeek V3 0324	Qwen3.7 Max	Difference
Intelligence (higher is better)	9.7	29.5	+204.1% Qwen3.7 Max is 3.0× more intelligent
Total AA cost (lower is better)	$19.87	$2,277.12	+11360.1% Qwen3.7 Max is 115× more expensive
End-to-end time (lower is better)	4.96s	16.61s	+234.9% Qwen3.7 Max is 234.9% slower
Price per 1M tokens (in / out)	$0.24 / $0.90	$2.50 / $7.50
Input modalities	Text	Text

Qwen3.7 Max vs DeepSeek V3 0324: 204.1% more intelligence, 11360.1% more cost to run the AA benchmark, and 234.9% slower end-to-end.

Open this matchup in the interactive picker DeepSeek V3 0324: what beats it Qwen3.7 Max: what beats it

Today's Pareto frontier

Against the frontier

DeepSeek V3 0324 is off the frontier: at the same or lower cost, GPT-6 Luna (Low) scores 21.50 for $10.6.
Qwen3.7 Max is off the frontier: at the same or lower cost, Claude Opus 5.5 (High, Default Fallback) scores 53.60 for $2172.

DeepSeek V3 0324Qwen3.7 MaxToday's Pareto frontierOpen-weights frontierEvery other model

Matchup

Compare something else

Agents: Accept: text/markdown or ?format=md returns this page as Markdown. JSON: /api/v1/compare/deepseek-v3-0324/qwen3-7-max · Markdown: /api/v1/compare/deepseek-v3-0324/qwen3-7-max?format=md · llms.txt · agent skill