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DeepSeek DeepSeek V3.2 VS Qwen Qwen3.7 Max

DeepSeek V3.2 vs Qwen3.7 Max: which wins at real work?

22 task areas · same graded test runs · rank comparison only, so 0–100 and Elo collections never mix raw scores.

Qwen3.7 Max wins 21 of 22 task areas we tested; DeepSeek V3.2 takes 1. DeepSeek V3.2 costs 8.7× less per token ($0.572 vs $5 per 1M).

1
Task areas won
21
38
Avg percentile
84
0
Top-3 finishes
3
$0.57
Price / 1M tokens
$5.0
DeepSeek
Provider
Qwen

DeepSeek V3.2 costs 8.7× less per token ($0.572 vs $5 per 1M).

Task by task

Task area DeepSeek V3.2 Qwen3.7 Max Winner
Translation & Localization #89 / 110
Strong
#1 / 110
Excellent
Qwen3.7 Max
Content & Brand #95 / 124
Usable
#10 / 124
Strong
Qwen3.7 Max
RAG, Safety & Grounding #83 / 113
Excellent
#1 / 113
Excellent
Qwen3.7 Max
Coding #100 / 115
Usable
#19 / 115
Excellent
Qwen3.7 Max
Creative & Comedy #87 / 110 #9 / 110 Qwen3.7 Max
Presentations & Decks #81 / 110
Strong
#9 / 110
Excellent
Qwen3.7 Max
Executive Assistant #76 / 112
Usable
#7 / 112
Strong
Qwen3.7 Max
Sales #91 / 110
Usable
#24 / 110
Strong
Qwen3.7 Max
AI Strategy #102 / 126
Usable
#36 / 126
Strong
Qwen3.7 Max
Structured Output #67 / 113
Strong
#2 / 113
Excellent
Qwen3.7 Max
Customer Support #74 / 113
Usable
#11 / 113
Strong
Qwen3.7 Max
Data & Analytics #69 / 110
Excellent
#15 / 110
Excellent
Qwen3.7 Max
Legal & HR #90 / 110
Strong
#46 / 110
Excellent
Qwen3.7 Max
Landing Pages #48 / 72
Usable
#10 / 72
Strong
Qwen3.7 Max
Chef / Home Cooking #78 / 126
Usable
#47 / 126
Usable
Qwen3.7 Max
Investor & Pitch #46 / 66
Usable
#19 / 66
Strong
Qwen3.7 Max
Training & Education #38 / 110
Excellent
#13 / 110
Excellent
Qwen3.7 Max
Knowledge & Docs #58 / 110
Usable
#34 / 110
Strong
Qwen3.7 Max
Summarization & Meeting Notes #30 / 110
Excellent
#12 / 110
Excellent
Qwen3.7 Max
Product & Project Management #21 / 110
Excellent
#7 / 110
Excellent
Qwen3.7 Max
Frontend & Landing Pages #25 / 109
Needs editing
#14 / 109
Needs editing
Qwen3.7 Max
Research & Competitive Analysis #53 / 110
Usable
#58 / 110
Usable
DeepSeek V3.2

Rank = position among every model config we tested in that task area (lower is better). Sorted by biggest gap first.

Frequently asked

Is DeepSeek V3.2 better than Qwen3.7 Max?

Across 22 task areas we benchmarked, Qwen3.7 Max ranks higher in 21 and DeepSeek V3.2 in 1.

Which is cheaper, DeepSeek V3.2 or Qwen3.7 Max?

DeepSeek V3.2 costs 8.7× less per token ($0.572 vs $5 per 1M).

What is DeepSeek V3.2 better at?

DeepSeek V3.2 out-ranks Qwen3.7 Max at Research & Competitive Analysis.

What is Qwen3.7 Max better at?

Qwen3.7 Max out-ranks DeepSeek V3.2 at Translation & Localization, Content & Brand, RAG, Safety & Grounding.

Full DeepSeek V3.2 review → Full Qwen3.7 Max review → Full model leaderboard →

More comparisons

This page is Spring Prompt, running in public

We just did this for every model. Do it for your prompt.

The rankings above come from running real tasks through real models and scoring every output. Spring Prompt is that same engine — pointed at your prompt, your test cases, and your definition of good.

  • Generate test cases from your prompt — no eval set required to start.
  • Compare models side by side with quality, cost and latency in one matrix.
  • Optimise the winner until the scores say it's ready to ship.
Experiment · Cold outreach email

Prompt × model results

12 test cases · 3 evals
Claude Opus
GPT-5
Gemini
v1
7.1
6.8
7.4
v2
8.3
7.9
8.0
v3
9.2
8.6
8.4
Best combo: v3 × Claude Opus
9.2 quality · $0.004/run · 1.8s